A power transmission line scheduling method and device

Abstract

The application discloses a power transmission line scheduling method and device, and belongs to the technical field of power dispatching. The method comprises the following steps: acquiring real-time monitoring data and structural parameters of a power transmission line; calculating the calculated sag of the power transmission line according to the measured conductor temperature, the measured wind speed and the structural parameters; constructing a wind speed calculation function and a temperature calculation function containing to-be-optimized empirical coefficients, to-be-optimized conductor surface heat absorption rates and to-be-optimized conductor surface emissivities; constructing a joint objective function with the minimum overall error based on the measured sag, the measured conductor temperature, the measured wind speed, the calculated sag, the wind speed calculation function and the temperature calculation function; solving the joint objective function to obtain the optimized conductor surface heat absorption rates and the conductor surface emissivities, and calculating the maximum load current of the power transmission line based on the optimized parameters, the real-time monitoring data and the structural parameters, so that the power transmission line is scheduled. Therefore, the application can solve the problem of low power dispatching and power supply efficiency in the prior art.

Description

Technical Field

[0001] This invention relates to the field of power dispatching technology, and in particular to a method and apparatus for dispatching power transmission lines. Background Technology

[0002] Power dispatching uses the current carrying capacity of transmission lines as a key constraint for safe operation. By controlling the transmission power of lines, shifting power flow, and adjusting operating modes, it ensures that the actual operating current of the lines does not exceed their maximum allowable current carrying capacity. Under the premise of ensuring that the lines do not overheat, are not overloaded, and operate safely and stably, it achieves reasonable power grid dispatching and reliable power supply.

[0003] Existing methods for calculating the current carrying capacity of transmission lines are generally based on the standard heat balance equation. These methods calculate the maximum current carrying capacity of conductors by inputting real-time or predicted meteorological data (such as wind speed, ambient temperature, and solar radiation intensity). However, key parameters in the heat balance equation (such as emissivity and heat absorption rate) are usually taken as design values ​​or fixed empirical values, or require manual adjustments periodically. This fails to adapt to the dynamic changes in the actual operating environment and climate conditions of the lines, often resulting in conservative or inaccurate calculations of actual online current carrying capacity. This leads to wasted transmission capacity or potential safety hazards, impacting the efficiency of power dispatching. Summary of the Invention

[0004] This invention provides a method and apparatus for power transmission line dispatching, which can solve the problem of low power supply efficiency in the prior art.

[0005] To address the aforementioned technical problems, this invention provides a transmission line dispatching method, comprising: Acquire real-time monitoring data and structural parameters of the transmission line; wherein, the real-time monitoring data includes measured sag, measured conductor temperature, measured wind speed, measured conductor current, measured solar radiation intensity, and measured ambient temperature; The calculated sag of the transmission line is calculated based on the measured conductor temperature, the measured wind speed, and the structural parameters. A wind speed calculation function is constructed based on the preset convection heat dissipation coefficient and the empirical coefficient to be optimized. A temperature calculation function is constructed based on the heat absorption rate of the conductor surface to be optimized, the emissivity of the conductor surface to be optimized, the preset convective heat dissipation coefficient, the measured conductor temperature, the measured conductor current, the measured solar radiation intensity, the measured ambient temperature, and the structural parameters. Based on the measured sag, the measured conductor temperature, the measured wind speed, the calculated sag, the wind speed calculation function, and the temperature calculation function, a joint objective function with the minimum overall error is constructed. Solving the joint objective function yields the optimized conductor surface heat absorption rate and optimized conductor surface emissivity. The maximum current carrying capacity of the transmission line is calculated based on the optimized conductor surface heat absorption rate, optimized conductor surface emissivity, preset convective heat dissipation coefficient, the real-time monitoring data, and the structural parameters. The transmission line is scheduled based on the maximum carrying capacity.

[0006] As a preferred embodiment, the step of calculating the calculated sag of the transmission line based on the measured conductor temperature, the measured wind speed, and the structural parameters includes: The outer diameter of the conductor, the mass per unit length of the conductor, the total cross-sectional area of ​​the conductor, the coefficient of thermal expansion of the conductor, the elastic modulus of the conductor, and the span are determined in the structural parameters of the transmission line. Based on the outer diameter of the conductor, the mass per unit length of the conductor, the total cross-sectional area of ​​the conductor, and the measured wind speed, the comprehensive specific load of the conductor used to characterize the stress level of the conductor is determined; The initial stress data of the transmission line is obtained, and based on the initial stress data, the comprehensive specific load of the conductor, the elastic modulus of the conductor, the span, the thermal expansion coefficient of the conductor, and the measured conductor temperature, the horizontal stress of the conductor at the measured conductor temperature is determined. Based on the span, the conductor's comprehensive load ratio, and the horizontal stress of the conductor at the measured conductor temperature, the calculated sag of the transmission line is obtained.

[0007] As a preferred embodiment, determining the conductor's comprehensive specific load, which characterizes the conductor's stress level, based on the conductor's outer diameter, the conductor's mass per unit length, the conductor's total cross-sectional area, and the measured wind speed, includes: The vertical load ratio of the conductor is determined based on the mass per unit length of the conductor and the total cross-sectional area of ​​the conductor. Based on the outer diameter of the conductor, the total cross-sectional area of ​​the conductor, and the measured wind speed, the horizontal wind pressure load of the conductor is determined; The vertical load ratio and the horizontal wind pressure load ratio of the conductor are geometrically superimposed to obtain the comprehensive load ratio of the conductor, which is used to characterize the stress level of the conductor.

[0008] As a preferred method, the horizontal stress of the transmission line under the measured conductor temperature is calculated using the following formula: In the formula, The horizontal stress of the transmission line conductor at the measured conductor temperature; This refers to the measured temperature of the conductor. This refers to the initial conductor temperature of the transmission line. The horizontal stress in the conductor of the transmission line at the initial conductor temperature; For the overall load ratio of the conductor; The elastic modulus of the conductor; For gear distance; This is the coefficient of thermal expansion of the conductor.

[0009] As a preferred embodiment, the step of constructing a temperature calculation function based on the surface heat absorption rate of the conductor to be optimized, the surface emissivity of the conductor to be optimized, a preset convective heat dissipation coefficient, the measured conductor temperature, the measured conductor current, the measured solar radiation intensity, the measured ambient temperature, and the structural parameters includes: A solar radiation heat absorption power function is constructed based on the energy capture correlation between the surface heat absorption rate of the conductor to be optimized, the measured solar irradiance, and the outer diameter of the conductor. The conductor temperature rise is calculated based on the measured conductor temperature and the measured ambient temperature, and a convective heat dissipation power function is constructed based on the heat exchange relationship between the conductor temperature rise, the preset convective heat dissipation coefficient, and the conductor outer diameter. Based on the measured conductor temperature, the measured ambient temperature, the surface emissivity of the conductor to be optimized, and the outer diameter of the conductor, a radiative heat dissipation power function is constructed. A temperature calculation function is constructed based on the solar radiation heat absorption power function, the convective heat dissipation power function, the radiative heat dissipation power function, the measured conductor temperature, the measured conductor current, the preset convective heat dissipation coefficient, and the structural parameters.

[0010] As a preferred option, the temperature calculation function is: In the formula, Calculate the conductor temperature for transmission lines; This refers to the measured temperature of the conductor. This represents the measured current in the conductor. The AC resistance per unit length of the transmission line at the measured conductor temperature; This is a function of solar radiation heat absorption power; It is a function of convective heat dissipation power; It is a function of radiative heat dissipation power; The outer diameter of the conductor; This is the preset convection heat dissipation coefficient.

[0011] As a preferred embodiment, the step of constructing a joint objective function with the minimum overall error based on the measured sag, the measured conductor temperature, the measured wind speed, the calculated sag, the wind speed calculation function, and the temperature calculation function includes: Calculate the sag error based on the measured sag and the calculated sag. Based on the measured conductor temperature and the temperature calculation function, a temperature error function is constructed; Based on the measured wind speed and the wind speed calculation function, a wind speed error function is constructed. By using preset weighting coefficients, the sag error, the temperature error function, and the wind speed error function are weighted and integrated to construct a joint objective function with the minimum overall error.

[0012] As a preferred embodiment, the step of calculating the maximum current carrying capacity of the transmission line based on the optimized conductor surface heat absorption rate, the optimized conductor surface emissivity, the preset convective heat dissipation coefficient, the real-time monitoring data, and the structural parameters includes: Obtain the maximum operating temperature of the transmission line and the AC resistance per unit length of the transmission line at the maximum operating temperature; The maximum current carrying capacity of a transmission line is calculated using the following formula: In the formula, This refers to the maximum current carrying capacity of the transmission line. This refers to the maximum operating temperature of the transmission line. This refers to the measured temperature of the conductor. The AC resistance per unit length of the transmission line at its maximum operating temperature; The preset convection heat dissipation coefficient; The optimized surface emissivity of the conductor; The optimized surface heat absorption rate of the conductor; The outer diameter of the conductor; This is for actual measurement of solar radiation intensity; is the Stefan-Boltzmann constant.

[0013] As a preferred embodiment, the acquisition of real-time monitoring data and structural parameters of the transmission line includes: Retrieve the structural parameters of the transmission line from the preset database; Real-time data collection of original sag, original conductor temperature, original wind speed, original conductor current, original solar radiation intensity, and original ambient temperature is performed at preset monitoring points along the transmission line. The original sag, original conductor temperature, original wind speed, original conductor current, original solar radiation intensity, and original ambient temperature are time-stamp aligned to obtain the measured sag, measured conductor temperature, measured wind speed, measured conductor current, measured solar radiation intensity, and measured ambient temperature. The measured sag, measured conductor temperature, measured wind speed, measured conductor current, measured solar radiation intensity, and measured ambient temperature are determined as the real-time monitoring data of the transmission line.

[0014] Accordingly, the present invention provides a transmission line dispatching device, comprising: a data acquisition module, a sag calculation module, a wind speed function construction module, a temperature function construction module, an objective function construction module, a parameter optimization module, a current carrying capacity calculation module, and a dispatching module; The data acquisition module is used to acquire real-time monitoring data and structural parameters of the transmission line; wherein, the real-time monitoring data includes measured sag, measured conductor temperature, measured wind speed, measured conductor current, measured solar radiation intensity, and measured ambient temperature; The sag calculation module is used to calculate the sag of the transmission line based on the measured conductor temperature, the measured wind speed, and the structural parameters. The wind speed function construction module is used to construct a wind speed calculation function based on a preset convective heat dissipation coefficient and an empirical coefficient to be optimized. The temperature function construction module is used to construct a temperature calculation function based on the heat absorption rate of the conductor surface to be optimized, the emissivity of the conductor surface to be optimized, the preset convective heat dissipation coefficient, the measured conductor temperature, the measured conductor current, the measured solar radiation intensity, the measured ambient temperature, and the structural parameters. The objective function construction module is used to construct a joint objective function with the minimum overall error based on the measured sag, the measured conductor temperature, the measured wind speed, the calculated sag, the wind speed calculation function, and the temperature calculation function. The parameter optimization module is used to solve the joint objective function to obtain the optimized conductor surface heat absorption rate and optimized conductor surface emissivity; The current carrying capacity calculation module is used to calculate the maximum current carrying capacity of the transmission line based on the optimized conductor surface heat absorption rate, the optimized conductor surface emissivity, the preset convective heat dissipation coefficient, the real-time monitoring data, and the structural parameters. The scheduling module is used to schedule the transmission line based on the maximum carrying capacity.

[0015] Compared with the prior art, the embodiments of the present invention have the following beneficial effects: This invention provides a method for dispatching transmission lines, which involves acquiring real-time monitoring data and structural parameters of the transmission line; calculating the calculated sag of the transmission line based on measured conductor temperature, measured wind speed, and structural parameters; constructing a wind speed calculation function based on a preset convective heat dissipation coefficient and an empirical coefficient to be optimized; constructing a temperature calculation function based on the conductor surface heat absorption rate to be optimized, the conductor surface emissivity to be optimized, the preset convective heat dissipation coefficient, measured conductor temperature, measured conductor current, measured solar radiation intensity, measured ambient temperature, and structural parameters; constructing a joint objective function with the minimum overall error based on the measured sag, measured conductor temperature, measured wind speed, calculated sag, wind speed calculation function, and temperature calculation function; solving the joint objective function to obtain the optimized conductor surface heat absorption rate and conductor surface emissivity; and calculating the maximum current carrying capacity of the transmission line based on these optimized parameters, real-time monitoring data, and structural parameters, so as to dispatch the transmission line based on the maximum current carrying capacity. This invention, after acquiring real-time monitoring data and structural parameters of transmission lines, calculates the sag based on this data and constructs wind speed and temperature calculation functions, including the heat absorption rate and emissivity of the conductor surface to be optimized. Through real-time monitoring data, and using the calculated sag, wind speed, and temperature functions, error minimization analysis is performed. The optimized conductor surface heat absorption rate and emissivity, obtained by solving these functions, change with the real-time monitoring data, adapting to the current operating state of the transmission line. Based on these optimized parameters, a more accurate maximum current carrying capacity can be calculated. Scheduling the transmission line based on this maximum current carrying capacity can effectively improve the power supply efficiency of power dispatching. Attached Figure Description

[0016] To more clearly illustrate the technical solution of this application, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0017] Figure 1 A flowchart illustrating an embodiment of the power transmission line dispatching method provided by the present invention; Figure 2 A flowchart illustrating an embodiment of the joint objective function solution method provided by the present invention; Figure 3 This is a schematic diagram of one embodiment of the power transmission line dispatching device provided by the present invention. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions of this application will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0019] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains; the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the application; the terms “comprising” and “having”, and any variations thereof, in the specification, claims, and foregoing description of the drawings are intended to cover non-exclusive inclusion.

[0020] In the description of the embodiments of this application, technical terms such as "first" and "second" are used only to distinguish different objects and should not be construed as indicating or implying relative importance or implicitly specifying the number, specific order, or primary and secondary relationship of the indicated technical features. In the description of the embodiments of this application, "multiple" means two or more, unless otherwise explicitly defined.

[0021] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0022] In the description of the embodiments in this application, the term "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Additionally, the character " / " in this document generally indicates that the preceding and following related objects have an "or" relationship.

[0023] In the description of the embodiments of this application, the term "multiple" refers to two or more (including two), similarly, "multiple sets" refers to two or more (including two sets), and "multiple pieces" refers to two or more (including two pieces).

[0024] In the description of the embodiments of this application, unless otherwise expressly specified and limited, technical terms such as "installation," "connection," "joining," and "fixing" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components. For those skilled in the art, the specific meaning of the above terms in the embodiments of this application can be understood according to the specific circumstances.

[0025] Example 1 See Figure 1 To address the problem of low power supply efficiency in existing power dispatching technologies, an embodiment of the present invention provides a transmission line dispatching method, which includes steps 101 to 108, the specific details of which are as follows: Step 101: Obtain real-time monitoring data and structural parameters of the transmission line; wherein, the real-time monitoring data includes measured sag, measured conductor temperature, measured wind speed, measured conductor current, measured solar radiation intensity, and measured ambient temperature.

[0026] In this embodiment of the invention, in order to improve the accuracy of the calculation of the current carrying capacity of the transmission line, it is necessary to determine the thermal balance parameters corresponding to the current operating state of the transmission line. Therefore, it is necessary to collect real-time monitoring data of the transmission line and collect the structural parameters of the transmission line to assist in the calculation.

[0027] As a preferred embodiment, obtaining real-time monitoring data and structural parameters of the transmission line includes: Retrieve the structural parameters of the transmission line from the preset database; Real-time data collection of original sag, original conductor temperature, original wind speed, original conductor current, original solar radiation intensity, and original ambient temperature is performed at preset monitoring points along the transmission line. The original sag, original conductor temperature, original wind speed, original conductor current, original solar radiation intensity, and original ambient temperature are time-stamp aligned to obtain the measured sag, measured conductor temperature, measured wind speed, measured conductor current, measured solar radiation intensity, and measured ambient temperature. The measured sag, measured conductor temperature, measured wind speed, measured conductor current, measured solar radiation intensity, and measured ambient temperature are determined as the real-time monitoring data of the transmission line.

[0028] In this embodiment of the invention, a preset database stores structural parameters of transmission lines, including conductor outer diameter, conductor mass per unit length, conductor total cross-sectional area, conductor temperature expansion coefficient, conductor elastic modulus, and span, etc.

[0029] In this embodiment of the invention, the original sag can be collected using a conductor sag meter, laser rangefinder, total station, or image-based sag monitoring device; the conductor temperature sensor, by directly attaching it to the surface of the transmission line, can sense the conductor body temperature in real time to obtain the original conductor temperature; the wind speed sensor, by installing it in an open area near the transmission line, measures the wind speed signal through cup rotation or ultrasonic time-of-flight method, and converts the wind speed signal into a numerical value to obtain the original wind speed; the current transformer, by fitting it onto the transmission line, can sense the alternating current signal in the conductor and convert it into a standard electrical signal or digital quantity to obtain the original conductor current; the sunroof meter, by receiving solar radiation energy, can output an electrical signal proportional to the irradiance to obtain the original solar radiation intensity; and the air temperature sensor, by placing it in a ventilated, shaded area away from the conductor's heat source, directly measures the surrounding air temperature to obtain the original ambient temperature.

[0030] In this embodiment of the invention, after acquiring the original sag, original conductor temperature, original wind speed, original conductor current, original solar radiation intensity, and original ambient temperature, the data can be transmitted to the central data server via the network layer through a standard communication protocol for aggregation and storage. The acquired original sag, original conductor temperature, original wind speed, original conductor current, original solar radiation intensity, and original ambient temperature are then processed by calling the standardized data interface of the central data server for timestamp alignment, thereby obtaining the timestamp-aligned measured sag, measured conductor temperature, measured wind speed, measured conductor current, measured solar radiation intensity, and measured ambient temperature.

[0031] Step 102: Calculate the calculated sag of the transmission line based on the measured conductor temperature, the measured wind speed, and the structural parameters.

[0032] As a preferred embodiment, the calculated sag of the transmission line is calculated based on the measured conductor temperature, the measured wind speed, and the structural parameters, including: The outer diameter of the conductor, the mass per unit length of the conductor, the total cross-sectional area of ​​the conductor, the coefficient of thermal expansion of the conductor, the elastic modulus of the conductor, and the span are determined in the structural parameters of the transmission line. Based on the outer diameter of the conductor, the mass per unit length of the conductor, the total cross-sectional area of ​​the conductor, and the measured wind speed, the comprehensive specific load of the conductor used to characterize the stress level of the conductor is determined; The initial stress data of the transmission line is obtained, and based on the initial stress data, the comprehensive specific load of the conductor, the elastic modulus of the conductor, the span, the thermal expansion coefficient of the conductor, and the measured conductor temperature, the horizontal stress of the conductor at the measured conductor temperature is determined. Based on the span, the conductor's comprehensive load ratio, and the horizontal stress of the conductor at the measured conductor temperature, the calculated sag of the transmission line is obtained.

[0033] In this embodiment of the invention, the comprehensive specific load of the transmission line conductors and the horizontal stress of the transmission line conductors at the measured conductor temperature are first calculated. The calculated sag of the transmission line can then be calculated using the parabolic approximation formula. The comprehensive specific load of the transmission line conductors converts all loads on the conductors (such as their own weight, icing weight, wind thrust, etc.) into equivalent forces per unit length and unit cross-sectional area. This provides a unified measure of the conductor's stress intensity under various operating conditions, thereby characterizing the conductor's stress level.

[0034] Specifically, the formula for calculating sag is: In the formula, Calculate the sag of the transmission line; For the overall load ratio of the conductor; For gear distance; This refers to the horizontal stress of the transmission line conductor at the measured conductor temperature.

[0035] As a preferred embodiment, based on the conductor's outer diameter, the conductor's mass per unit length, the conductor's total cross-sectional area, and the measured wind speed, the conductor's comprehensive specific load, used to characterize the conductor's stress level, is determined, including: The vertical load ratio of the conductor is determined based on the mass per unit length of the conductor and the total cross-sectional area of ​​the conductor. Based on the outer diameter of the conductor, the total cross-sectional area of ​​the conductor, and the measured wind speed, the horizontal wind pressure load of the conductor is determined; The vertical load ratio and the horizontal wind pressure load ratio of the conductor are geometrically superimposed to obtain the comprehensive load ratio of the conductor, which is used to characterize the stress level of the conductor.

[0036] In this embodiment of the invention, the conductor composite load of the transmission line consists of two parts: the conductor vertical load and the conductor horizontal wind pressure load. By geometrically superimposing the conductor vertical load and the conductor horizontal wind pressure load, the conductor composite load, which characterizes the stress level of the conductor, can be calculated.

[0037] Among them, the vertical load ratio of the conductor mainly considers the load strength of gravity, and therefore can be calculated based on the mass per unit length of the conductor and the total cross-sectional area of ​​the conductor. In the formula, The vertical load of the conductor; This represents the total cross-sectional area of ​​the conductor; Mass per unit length of the conductor; This is the acceleration due to gravity.

[0038] The horizontal wind pressure load ratio of a conductor mainly considers the load intensity of wind, and therefore can be calculated based on the conductor's outer diameter, total cross-sectional area, and measured wind speed. In the formula, The horizontal wind pressure ratio of the conductor; This is the actual measured wind speed; The outer diameter of the conductor; This represents the total cross-sectional area of ​​the conductor; The air density correlation coefficient is essentially a simplified formula derived from the air density under standard operating conditions. It can be set to a value of 0.613, with units of kg / m³. 3 .

[0039] After calculating the vertical load ratio and horizontal wind pressure load ratio of the conductor, the combined load ratio of the conductor can be calculated by geometrically superimposing the two: In the formula, For the overall load ratio of the conductor; The vertical load of the conductor; The horizontal wind pressure ratio of the conductor.

[0040] As a preferred embodiment, the horizontal stress of the transmission line at the measured conductor temperature is calculated using the following formula: In the formula, The horizontal stress of the transmission line conductor at the measured conductor temperature; This refers to the measured temperature of the conductor. This refers to the initial conductor temperature of the transmission line. The horizontal stress in the conductor of the transmission line at the initial conductor temperature; For the overall load ratio of the conductor; The elastic modulus of the conductor; For gear distance; This is the coefficient of thermal expansion of the conductor.

[0041] Step 103: Construct a wind speed calculation function based on the preset convection heat dissipation coefficient and the empirical coefficient to be optimized.

[0042] In this embodiment of the invention, the wind speed calculation function can be constructed using the following formula: In the formula, To calculate wind speed; The preset convective heat dissipation coefficient is expressed in W / m². 2 ·K; , and These are all empirical coefficients to be optimized, where A is in W / m³. 2 The units for K and B are W / m³. 2 ·K·(m / s) -C C is a purely numerical value.

[0043] Step 104: Construct a temperature calculation function based on the heat absorption rate of the conductor surface to be optimized, the emissivity of the conductor surface to be optimized, the preset convective heat dissipation coefficient, the measured conductor temperature, the measured conductor current, the measured solar radiation intensity, the measured ambient temperature, and the structural parameters.

[0044] As a preferred embodiment, a temperature calculation function is constructed based on the heat absorption rate of the conductor surface to be optimized, the emissivity of the conductor surface to be optimized, the preset convective heat dissipation coefficient, the measured conductor temperature, the measured conductor current, the measured solar radiation intensity, the measured ambient temperature, and the structural parameters, including: A solar radiation heat absorption power function is constructed based on the energy capture correlation between the surface heat absorption rate of the conductor to be optimized, the measured solar irradiance, and the outer diameter of the conductor. The conductor temperature rise is calculated based on the measured conductor temperature and the measured ambient temperature, and a convective heat dissipation power function is constructed based on the heat exchange relationship between the conductor temperature rise, the preset convective heat dissipation coefficient, and the conductor outer diameter. Based on the measured conductor temperature, the measured ambient temperature, the surface emissivity of the conductor to be optimized, and the outer diameter of the conductor, a radiative heat dissipation power function is constructed. A temperature calculation function is constructed based on the solar radiation heat absorption power function, the convective heat dissipation power function, the radiative heat dissipation power function, the measured conductor temperature, the measured conductor current, the preset convective heat dissipation coefficient, and the structural parameters.

[0045] In this embodiment of the invention, the calculated conductor temperature of the transmission line is derived from the measured conductor temperature and the temperature rise caused by the net heat power density. The temperature rise caused by the net heat power density is the ratio of the net heat power density to the thermal conductivity per unit length. The expression for the net heat power density is: In the formula, Net heat power density; This represents the measured current in the conductor. The AC resistance per unit length of the transmission line at the measured conductor temperature; This is a function of solar radiation heat absorption power; It is a function of convective heat dissipation power; This is a function of radiative heat dissipation power.

[0046] Therefore, it is necessary to first construct the solar radiation heat absorption power function, the convective heat dissipation power function, and the radiation heat dissipation power function, and then combine the measured conductor temperature, the measured conductor current, the preset convective heat dissipation coefficient, and the structural parameters to construct the temperature calculation function.

[0047] In this embodiment of the invention, the solar radiation heat absorption power function is constructed based on the energy capture correlation between the surface heat absorption rate of the conductor to be optimized, the measured solar irradiance, and the outer diameter of the conductor. Specifically: In the formula, This is a function of solar radiation heat absorption power; The heat absorption rate of the conductor surface to be optimized; This is for actual measurement of solar radiation intensity; The outer diameter of the conductor; For unit length, i.e. l= 1m.

[0048] In this embodiment of the invention, the convective heat dissipation power function is constructed based on the heat exchange correlation between the conductor temperature rise, the preset convective heat dissipation coefficient, and the conductor outer diameter, while the conductor temperature rise is calculated based on the measured conductor temperature and the measured ambient temperature. Specifically: In the formula, It is a function of convective heat dissipation power; The outer diameter of the conductor; The preset convection heat dissipation coefficient; To measure the temperature of the conductor, To measure the ambient temperature, This refers to the temperature rise of the conductor.

[0049] In this embodiment of the invention, the radiative heat dissipation power function is constructed based on the measured conductor temperature, the measured ambient temperature, the surface emissivity of the conductor to be optimized, and the outer diameter of the conductor. Specifically: In the formula, It is a function of radiative heat dissipation power; The outer diameter of the conductor; The surface emissivity of the conductor to be optimized; This is the Stefan-Boltzmann constant, with a value of 5.67 x 10⁻⁶. -8 W / m 2 K 4 ; This refers to the measured temperature of the conductor. This is the actual measured ambient temperature.

[0050] In this embodiment of the invention, after constructing the solar radiation heat absorption power function, convective heat dissipation power function, and radiative heat dissipation power function as described above, a temperature calculation function can be constructed according to the following formula: In the formula, Calculate the conductor temperature for transmission lines; This refers to the measured temperature of the conductor. This represents the measured current in the conductor. The AC resistance per unit length of the transmission line at the measured conductor temperature; This is a function of solar radiation heat absorption power; It is a function of convective heat dissipation power; It is a function of radiative heat dissipation power; The outer diameter of the conductor; The preset convection heat dissipation coefficient; Thermal conductivity per unit length.

[0051] Step 105: Based on the measured sag, the measured conductor temperature, the measured wind speed, the calculated sag, the wind speed calculation function, and the temperature calculation function, construct a joint objective function with the minimum overall error.

[0052] As a preferred embodiment, based on the measured sag, the measured conductor temperature, the measured wind speed, the calculated sag, the wind speed calculation function, and the temperature calculation function, a joint objective function with the minimum overall error is constructed, including: Calculate the sag error based on the measured sag and the calculated sag. Based on the measured conductor temperature and the temperature calculation function, a temperature error function is constructed; Based on the measured wind speed and the wind speed calculation function, a wind speed error function is constructed. By using preset weighting coefficients, the sag error, the temperature error function, and the wind speed error function are weighted and integrated to construct a joint objective function with the minimum overall error.

[0053] In this embodiment of the invention, after calculating the sag and constructing the wind speed calculation function and temperature calculation function, a joint objective function characterizing the overall error can be constructed by combining the measured sag, measured conductor temperature and measured wind speed in the real-time monitoring data.

[0054] Specifically, the overall error consists of three parts: sag error, temperature error, and wind speed error. Specifically, the sag error can be directly calculated from the measured and calculated sag; the temperature error function can be constructed from the measured conductor temperature and the temperature calculation function; the wind speed error function can be constructed from the measured wind speed and the wind speed calculation function; finally, by combining the sag error, temperature error function, and wind speed error function with preset weighting coefficients, a joint objective function can be constructed.

[0055] In this embodiment of the invention, the joint objective function can be expressed as: In the formula, The joint objective function; This is a function for calculating temperature. This refers to the measured temperature of the conductor. To calculate the sag; For actual measured sag; This is the function for calculating wind speed. This is the actual measured wind speed; , and These are preset weighting coefficients.

[0056] Step 106: Solve the joint objective function to obtain the optimized conductor surface heat absorption rate and optimized conductor surface emissivity.

[0057] In an embodiment of the present invention, see Figure 2 This is a flowchart illustrating an embodiment of the joint objective function solution method provided by the present invention. The process of solving the joint objective function is as follows: First, with minimizing the objective function J as the direction, iteratively update the parameters to be optimized, including the heat absorption rate of the conductor surface to be optimized. Surface emissivity of the conductor to be optimized And the empirical parameters A, B, and C to be optimized.

[0058] The steps for iteratively updating the parameters to be optimized are as follows: First, initialize each parameter to be optimized. ( for , (A, B, or C) to obtain the initial values ​​of the parameters to be optimized. Then, calculate the joint objective function J and its gradient. For each parameter to be optimized Calculate the joint objective function J. partial derivatives Among them, the gradient vector It consists of all partial derivatives, that is: In the formula, The gradient vector; Let J be the partial derivative of the joint objective function J with respect to the nth parameter to be optimized; n is the number of parameters to be optimized.

[0059] Secondly, the parameters to be optimized are calculated according to the parameter update formula to obtain the new parameters. .

[0060] The parameter update formula is: In the formula, For new parameters; These are the old parameters; The gradient vector; The learning rate can be set to 0.01 to determine the step size.

[0061] Finally, repeat the above steps until the convergence condition is met. The convergence condition can be set to be satisfied after 5 consecutive iterations. or ,in, The difference between the joint objective function and the two iterations. This represents the gradient difference between two iterations.

[0062] Step 107: Calculate the maximum current carrying capacity of the transmission line based on the optimized conductor surface heat absorption rate, the optimized conductor surface emissivity, the preset convective heat dissipation coefficient, the real-time monitoring data, and the structural parameters.

[0063] As a preferred embodiment, the maximum current carrying capacity of the transmission line is calculated based on the optimized conductor surface heat absorption rate, the optimized conductor surface emissivity, the preset convective heat dissipation coefficient, the real-time monitoring data, and the structural parameters, including: Obtain the maximum operating temperature of the transmission line and the AC resistance per unit length of the transmission line at the maximum operating temperature; The maximum current carrying capacity of a transmission line is calculated using the following formula: In the formula, This refers to the maximum current carrying capacity of the transmission line. This refers to the maximum operating temperature of the transmission line. This refers to the measured temperature of the conductor. The AC resistance per unit length of the transmission line at its maximum operating temperature; The preset convection heat dissipation coefficient; The optimized surface emissivity of the conductor; The optimized surface heat absorption rate of the conductor; The outer diameter of the conductor; This is for actual measurement of solar radiation intensity; is the Stefan-Boltzmann constant.

[0064] In this embodiment of the invention, the optimized conductor surface heat absorption rate and conductor surface emissivity can be obtained by solving the joint objective function. Substituting the optimized parameters and real-time monitoring data into the above heat balance formula, the maximum current carrying capacity of the transmission line can be obtained.

[0065] Step 108: Schedule the transmission line based on the maximum carrying capacity.

[0066] In this embodiment of the invention, transmission lines are scheduled based on their maximum current carrying capacity. Specifically, the maximum current carrying capacity allowed for long-term safe operation of the transmission line is used as the upper limit constraint. Factors affecting current carrying capacity, such as line load, ambient temperature, wind speed, and sunshine, are monitored in real time, and the transmission power of the lines is dynamically adjusted to ensure that the actual operating current does not exceed the maximum allowable current carrying capacity. This improves transmission efficiency and equipment utilization while ensuring safety and stability. For example, when the ambient temperature rises and the wind speed decreases, the heat dissipation conditions of the conductors deteriorate, and their maximum current carrying capacity will decrease accordingly. At this time, the scheduling system will reduce the transmission power of the line to avoid conductor overheating and excessive sag. During peak load periods or periods of high renewable energy generation, the scheduling system prioritizes the allocation of power flow to lines with greater current carrying capacity based on the real-time calculated maximum current carrying capacity of each line, balancing the load across the entire network and improving the overall utilization efficiency of the transmission channel.

[0067] Implementing the above embodiments has the following effects: This invention provides a method for dispatching transmission lines, which involves acquiring real-time monitoring data and structural parameters of the transmission line; calculating the calculated sag of the transmission line based on measured conductor temperature, measured wind speed, and structural parameters; constructing a wind speed calculation function based on a preset convective heat dissipation coefficient and an empirical coefficient to be optimized; constructing a temperature calculation function based on the conductor surface heat absorption rate to be optimized, the conductor surface emissivity to be optimized, the preset convective heat dissipation coefficient, measured conductor temperature, measured conductor current, measured solar radiation intensity, measured ambient temperature, and structural parameters; constructing a joint objective function with the minimum overall error based on the measured sag, measured conductor temperature, measured wind speed, calculated sag, wind speed calculation function, and temperature calculation function; solving the joint objective function to obtain the optimized conductor surface heat absorption rate and conductor surface emissivity; and calculating the maximum current carrying capacity of the transmission line based on these optimized parameters, real-time monitoring data, and structural parameters, so as to dispatch the transmission line based on the maximum current carrying capacity. This invention, after acquiring real-time monitoring data and structural parameters of transmission lines, calculates the sag based on this data and constructs wind speed and temperature calculation functions, including the heat absorption rate and emissivity of the conductor surface to be optimized. Through real-time monitoring data, and using the calculated sag, wind speed, and temperature functions, error minimization analysis is performed. The optimized conductor surface heat absorption rate and emissivity, obtained by solving these functions, change with the real-time monitoring data, adapting to the current operating state of the transmission line. Based on these optimized parameters, a more accurate maximum current carrying capacity can be calculated. Scheduling the transmission line based on this maximum current carrying capacity can effectively improve the power supply efficiency of power dispatching.

[0068] Example 2 See Figure 3 This is a schematic diagram of the structure of an embodiment of the transmission line dispatching device provided by the present invention. The device includes a data acquisition module, a sag calculation module, a wind speed function construction module, a temperature function construction module, an objective function construction module, a parameter optimization module, a current carrying capacity calculation module, and a dispatching module. The data acquisition module is used to acquire real-time monitoring data and structural parameters of the transmission line; wherein, the real-time monitoring data includes measured sag, measured conductor temperature, measured wind speed, measured conductor current, measured solar radiation intensity, and measured ambient temperature; The sag calculation module is used to calculate the sag of the transmission line based on the measured conductor temperature, the measured wind speed, and the structural parameters. The wind speed function construction module is used to construct a wind speed calculation function based on a preset convective heat dissipation coefficient and an empirical coefficient to be optimized. The temperature function construction module is used to construct a temperature calculation function based on the heat absorption rate of the conductor surface to be optimized, the emissivity of the conductor surface to be optimized, the preset convective heat dissipation coefficient, the measured conductor temperature, the measured conductor current, the measured solar radiation intensity, the measured ambient temperature, and the structural parameters. The objective function construction module is used to construct a joint objective function with the minimum overall error based on the measured sag, the measured conductor temperature, the measured wind speed, the calculated sag, the wind speed calculation function, and the temperature calculation function. The parameter optimization module is used to solve the joint objective function to obtain the optimized conductor surface heat absorption rate and optimized conductor surface emissivity; The current carrying capacity calculation module is used to calculate the maximum current carrying capacity of the transmission line based on the optimized conductor surface heat absorption rate, the optimized conductor surface emissivity, the preset convective heat dissipation coefficient, the real-time monitoring data, and the structural parameters. The scheduling module is used to schedule the transmission line based on the maximum carrying capacity.

[0069] As a preferred embodiment, real-time monitoring data and structural parameters of the transmission line are obtained; wherein, the real-time monitoring data includes measured sag, measured conductor temperature, measured wind speed, measured conductor current, measured solar radiation intensity, and measured ambient temperature; The calculated sag of the transmission line is calculated based on the measured conductor temperature, the measured wind speed, and the structural parameters. A wind speed calculation function is constructed based on the preset convection heat dissipation coefficient and the empirical coefficient to be optimized. A temperature calculation function is constructed based on the heat absorption rate of the conductor surface to be optimized, the emissivity of the conductor surface to be optimized, the preset convective heat dissipation coefficient, the measured conductor temperature, the measured conductor current, the measured solar radiation intensity, the measured ambient temperature, and the structural parameters. Based on the measured sag, the measured conductor temperature, the measured wind speed, the calculated sag, the wind speed calculation function, and the temperature calculation function, a joint objective function with the minimum overall error is constructed. Solving the joint objective function yields the optimized conductor surface heat absorption rate and optimized conductor surface emissivity. The maximum current carrying capacity of the transmission line is calculated based on the optimized conductor surface heat absorption rate, optimized conductor surface emissivity, preset convective heat dissipation coefficient, the real-time monitoring data, and the structural parameters. The transmission line is scheduled based on the maximum carrying capacity.

[0070] As a preferred embodiment, the calculated sag of the transmission line is calculated based on the measured conductor temperature, the measured wind speed, and the structural parameters, including: The outer diameter of the conductor, the mass per unit length of the conductor, the total cross-sectional area of ​​the conductor, the coefficient of thermal expansion of the conductor, the elastic modulus of the conductor, and the span are determined in the structural parameters of the transmission line. Based on the outer diameter of the conductor, the mass per unit length of the conductor, the total cross-sectional area of ​​the conductor, and the measured wind speed, the comprehensive specific load of the conductor used to characterize the stress level of the conductor is determined; The initial stress data of the transmission line is obtained, and based on the initial stress data, the comprehensive specific load of the conductor, the elastic modulus of the conductor, the span, the thermal expansion coefficient of the conductor, and the measured conductor temperature, the horizontal stress of the conductor at the measured conductor temperature is determined. Based on the span, the conductor's comprehensive load ratio, and the horizontal stress of the conductor at the measured conductor temperature, the calculated sag of the transmission line is obtained.

[0071] As a preferred embodiment, based on the conductor's outer diameter, the conductor's mass per unit length, the conductor's total cross-sectional area, and the measured wind speed, the conductor's comprehensive specific load, used to characterize the conductor's stress level, is determined, including: The vertical load ratio of the conductor is determined based on the mass per unit length of the conductor and the total cross-sectional area of ​​the conductor. Based on the outer diameter of the conductor, the total cross-sectional area of ​​the conductor, and the measured wind speed, the horizontal wind pressure load of the conductor is determined; The vertical load ratio and the horizontal wind pressure load ratio of the conductor are geometrically superimposed to obtain the comprehensive load ratio of the conductor, which is used to characterize the stress level of the conductor.

[0072] As a preferred embodiment, the horizontal stress of the transmission line at the measured conductor temperature is calculated using the following formula: In the formula, The horizontal stress of the transmission line conductor at the measured conductor temperature; This refers to the measured temperature of the conductor. This refers to the initial conductor temperature of the transmission line. The horizontal stress in the conductor of the transmission line at the initial conductor temperature; For the overall load ratio of the conductor; The elastic modulus of the conductor; For gear distance; This is the coefficient of thermal expansion of the conductor.

[0073] As a preferred embodiment, a temperature calculation function is constructed based on the heat absorption rate of the conductor surface to be optimized, the emissivity of the conductor surface to be optimized, the preset convective heat dissipation coefficient, the measured conductor temperature, the measured conductor current, the measured solar radiation intensity, the measured ambient temperature, and the structural parameters, including: A solar radiation heat absorption power function is constructed based on the energy capture correlation between the surface heat absorption rate of the conductor to be optimized, the measured solar irradiance, and the outer diameter of the conductor. The conductor temperature rise is calculated based on the measured conductor temperature and the measured ambient temperature, and a convective heat dissipation power function is constructed based on the heat exchange relationship between the conductor temperature rise, the preset convective heat dissipation coefficient, and the conductor outer diameter. Based on the measured conductor temperature, the measured ambient temperature, the surface emissivity of the conductor to be optimized, and the outer diameter of the conductor, a radiative heat dissipation power function is constructed. A temperature calculation function is constructed based on the solar radiation heat absorption power function, the convective heat dissipation power function, the radiative heat dissipation power function, the measured conductor temperature, the measured conductor current, the preset convective heat dissipation coefficient, and the structural parameters.

[0074] As a preferred embodiment, the temperature calculation function is: In the formula, Calculate the conductor temperature for transmission lines; This refers to the measured temperature of the conductor. This represents the measured current in the conductor. The AC resistance per unit length of the transmission line at the measured conductor temperature; This is a function of solar radiation heat absorption power; It is a function of convective heat dissipation power; It is a function of radiative heat dissipation power; The outer diameter of the conductor; This is the preset convection heat dissipation coefficient.

[0075] As a preferred embodiment, based on the measured sag, the measured conductor temperature, the measured wind speed, the calculated sag, the wind speed calculation function, and the temperature calculation function, a joint objective function with the minimum overall error is constructed, including: Calculate the sag error based on the measured sag and the calculated sag. Based on the measured conductor temperature and the temperature calculation function, a temperature error function is constructed; Based on the measured wind speed and the wind speed calculation function, a wind speed error function is constructed. By using preset weighting coefficients, the sag error, the temperature error function, and the wind speed error function are weighted and integrated to construct a joint objective function with the minimum overall error.

[0076] As a preferred embodiment, the maximum current carrying capacity of the transmission line is calculated based on the optimized conductor surface heat absorption rate, the optimized conductor surface emissivity, the preset convective heat dissipation coefficient, the real-time monitoring data, and the structural parameters, including: Obtain the maximum operating temperature of the transmission line and the AC resistance per unit length of the transmission line at the maximum operating temperature; The maximum current carrying capacity of a transmission line is calculated using the following formula: In the formula, This refers to the maximum current carrying capacity of the transmission line. This refers to the maximum operating temperature of the transmission line. This refers to the measured temperature of the conductor. The AC resistance per unit length of the transmission line at its maximum operating temperature; The preset convection heat dissipation coefficient; The optimized surface emissivity of the conductor; The optimized surface heat absorption rate of the conductor; The outer diameter of the conductor; This is for actual measurement of solar radiation intensity; is the Stefan-Boltzmann constant.

[0077] As a preferred embodiment, obtaining real-time monitoring data and structural parameters of the transmission line includes: Retrieve the structural parameters of the transmission line from the preset database; Real-time data collection of original sag, original conductor temperature, original wind speed, original conductor current, original solar radiation intensity, and original ambient temperature is performed at preset monitoring points along the transmission line. The original sag, original conductor temperature, original wind speed, original conductor current, original solar radiation intensity, and original ambient temperature are time-stamp aligned to obtain the measured sag, measured conductor temperature, measured wind speed, measured conductor current, measured solar radiation intensity, and measured ambient temperature. The measured sag, measured conductor temperature, measured wind speed, measured conductor current, measured solar radiation intensity, and measured ambient temperature are determined as the real-time monitoring data of the transmission line.

[0078] Implementing the above embodiments has the following effects: This invention provides a transmission line scheduling device that acquires real-time monitoring data and structural parameters of the transmission line; calculates the calculated sag of the transmission line based on measured conductor temperature, measured wind speed, and structural parameters; constructs a wind speed calculation function based on a preset convective heat dissipation coefficient and an empirical coefficient to be optimized; constructs a temperature calculation function based on the conductor surface heat absorption rate to be optimized, the conductor surface emissivity to be optimized, the preset convective heat dissipation coefficient, measured conductor temperature, measured conductor current, measured solar radiation intensity, measured ambient temperature, and structural parameters; constructs a joint objective function with the minimum overall error based on the measured sag, measured conductor temperature, measured wind speed, calculated sag, wind speed calculation function, and temperature calculation function; solves the joint objective function to obtain the optimized conductor surface heat absorption rate and conductor surface emissivity; and calculates the maximum current carrying capacity of the transmission line based on these optimized parameters, real-time monitoring data, and structural parameters, so as to schedule the transmission line based on the maximum current carrying capacity. This invention, after acquiring real-time monitoring data and structural parameters of transmission lines, calculates the sag based on this data and constructs wind speed and temperature calculation functions, including the heat absorption rate and emissivity of the conductor surface to be optimized. Through real-time monitoring data, and using the calculated sag, wind speed, and temperature functions, error minimization analysis is performed. The optimized conductor surface heat absorption rate and emissivity, obtained by solving these functions, change with the real-time monitoring data, adapting to the current operating state of the transmission line. Based on these optimized parameters, a more accurate maximum current carrying capacity can be calculated. Scheduling the transmission line based on this maximum current carrying capacity can effectively improve the power supply efficiency of power dispatching.

[0079] It is understood that the above-described device embodiments correspond to the method embodiments of the present invention, and can implement the transmission line scheduling method provided by any of the above-described method embodiments of the present invention.

[0080] It should be noted that the device embodiments described above are merely illustrative, and some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Furthermore, in the accompanying drawings of the device embodiments provided by this invention, the connection relationships between modules indicate that they have communication connections, which can specifically be implemented as one or more communication buses or signal lines. Those skilled in the art can understand and implement this without any creative effort.

[0081] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above descriptions are merely specific embodiments of the present invention and are not intended to limit the scope of protection of the present invention. In particular, it should be noted that any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention for those skilled in the art.

Claims

1. A method for dispatching power transmission lines, characterized in that, include: Acquire real-time monitoring data and structural parameters of the transmission line; wherein, the real-time monitoring data includes measured sag, measured conductor temperature, measured wind speed, measured conductor current, measured solar radiation intensity, and measured ambient temperature; The calculated sag of the transmission line is calculated based on the measured conductor temperature, the measured wind speed, and the structural parameters. A wind speed calculation function is constructed based on the preset convection heat dissipation coefficient and the empirical coefficient to be optimized. A temperature calculation function is constructed based on the heat absorption rate of the conductor surface to be optimized, the emissivity of the conductor surface to be optimized, the preset convective heat dissipation coefficient, the measured conductor temperature, the measured conductor current, the measured solar radiation intensity, the measured ambient temperature, and the structural parameters. Based on the measured sag, the measured conductor temperature, the measured wind speed, the calculated sag, the wind speed calculation function, and the temperature calculation function, a joint objective function with the minimum overall error is constructed. Solving the joint objective function yields the optimized conductor surface heat absorption rate and optimized conductor surface emissivity. The maximum current carrying capacity of the transmission line is calculated based on the optimized conductor surface heat absorption rate, optimized conductor surface emissivity, preset convective heat dissipation coefficient, the real-time monitoring data, and the structural parameters. The transmission line is scheduled based on the maximum carrying capacity.

2. The transmission line dispatching method according to claim 1, characterized in that, The step of calculating the calculated sag of the transmission line based on the measured conductor temperature, the measured wind speed, and the structural parameters includes: The outer diameter of the conductor, the mass per unit length of the conductor, the total cross-sectional area of ​​the conductor, the coefficient of thermal expansion of the conductor, the elastic modulus of the conductor, and the span are determined in the structural parameters of the transmission line. Based on the outer diameter of the conductor, the mass per unit length of the conductor, the total cross-sectional area of ​​the conductor, and the measured wind speed, the comprehensive specific load of the conductor used to characterize the stress level of the conductor is determined; The initial stress data of the transmission line is obtained, and based on the initial stress data, the comprehensive specific load of the conductor, the elastic modulus of the conductor, the span, the thermal expansion coefficient of the conductor, and the measured conductor temperature, the horizontal stress of the conductor at the measured conductor temperature is determined. Based on the span, the conductor's comprehensive load ratio, and the horizontal stress of the conductor at the measured conductor temperature, the calculated sag of the transmission line is obtained.

3. The transmission line dispatching method according to claim 2, characterized in that, The determination of the conductor's comprehensive specific load, used to characterize the conductor's stress level, based on the conductor's outer diameter, the conductor's mass per unit length, the conductor's total cross-sectional area, and the measured wind speed, includes: The vertical load ratio of the conductor is determined based on the mass per unit length of the conductor and the total cross-sectional area of ​​the conductor. Based on the outer diameter of the conductor, the total cross-sectional area of ​​the conductor, and the measured wind speed, the horizontal wind pressure load of the conductor is determined; The vertical load ratio and the horizontal wind pressure load ratio of the conductor are geometrically superimposed to obtain the comprehensive load ratio of the conductor, which is used to characterize the stress level of the conductor.

4. The transmission line dispatching method according to claim 3, characterized in that, The horizontal stress of the transmission line under the measured conductor temperature is calculated using the following formula: In the formula, The horizontal stress of the transmission line conductor at the measured conductor temperature; This refers to the measured temperature of the conductor. This refers to the initial conductor temperature of the transmission line. The horizontal stress in the conductor of the transmission line at the initial conductor temperature; For the overall load ratio of the conductor; The elastic modulus of the conductor; For gear distance; This is the coefficient of thermal expansion of the conductor.

5. The transmission line dispatching method according to claim 4, characterized in that, The temperature calculation function is constructed based on the surface heat absorption rate of the conductor to be optimized, the surface emissivity of the conductor to be optimized, the preset convective heat dissipation coefficient, the measured conductor temperature, the measured conductor current, the measured solar radiation intensity, the measured ambient temperature, and the structural parameters, including: A solar radiation heat absorption power function is constructed based on the energy capture correlation between the surface heat absorption rate of the conductor to be optimized, the measured solar irradiance, and the outer diameter of the conductor. The conductor temperature rise is calculated based on the measured conductor temperature and the measured ambient temperature, and a convective heat dissipation power function is constructed based on the heat exchange relationship between the conductor temperature rise, the preset convective heat dissipation coefficient, and the conductor outer diameter. Based on the measured conductor temperature, the measured ambient temperature, the surface emissivity of the conductor to be optimized, and the outer diameter of the conductor, a radiative heat dissipation power function is constructed. A temperature calculation function is constructed based on the solar radiation heat absorption power function, the convective heat dissipation power function, the radiative heat dissipation power function, the measured conductor temperature, the measured conductor current, the preset convective heat dissipation coefficient, and the structural parameters.

6. The transmission line dispatching method according to claim 5, characterized in that, The temperature calculation function is: In the formula, Calculate the conductor temperature for transmission lines; This refers to the measured temperature of the conductor. This represents the measured current in the conductor. The AC resistance per unit length of the transmission line at the measured conductor temperature; This is a function of solar radiation heat absorption power; It is a function of convective heat dissipation power; It is a function of radiative heat dissipation power; The outer diameter of the conductor; This is the preset convection heat dissipation coefficient.

7. The transmission line dispatching method according to claim 6, characterized in that, The method for constructing a joint objective function with the minimum overall error based on the measured sag, the measured conductor temperature, the measured wind speed, the calculated sag, the wind speed calculation function, and the temperature calculation function includes: Calculate the sag error based on the measured sag and the calculated sag. Based on the measured conductor temperature and the temperature calculation function, a temperature error function is constructed; Based on the measured wind speed and the wind speed calculation function, a wind speed error function is constructed. By using preset weighting coefficients, the sag error, the temperature error function, and the wind speed error function are weighted and integrated to construct a joint objective function with the minimum overall error.

8. The transmission line dispatching method according to claim 7, characterized in that, The calculation of the maximum current carrying capacity of the transmission line based on the optimized conductor surface heat absorption rate, optimized conductor surface emissivity, preset convective heat dissipation coefficient, the real-time monitoring data, and the structural parameters includes: Obtain the maximum operating temperature of the transmission line and the AC resistance per unit length of the transmission line at the maximum operating temperature; The maximum current carrying capacity of a transmission line is calculated using the following formula: In the formula, This refers to the maximum current carrying capacity of the transmission line. This refers to the maximum operating temperature of the transmission line. This refers to the measured temperature of the conductor. The AC resistance per unit length of the transmission line at its maximum operating temperature; The preset convection heat dissipation coefficient; The optimized surface emissivity of the conductor; The optimized surface heat absorption rate of the conductor; The outer diameter of the conductor; This is for actual measurement of solar radiation intensity; is the Stefan-Boltzmann constant.

9. The transmission line dispatching method according to claim 1, characterized in that, The acquisition of real-time monitoring data and structural parameters of the transmission line includes: Retrieve the structural parameters of the transmission line from the preset database; Real-time data collection of original sag, original conductor temperature, original wind speed, original conductor current, original solar radiation intensity, and original ambient temperature is performed at preset monitoring points along the transmission line. The original sag, original conductor temperature, original wind speed, original conductor current, original solar radiation intensity, and original ambient temperature are time-stamp aligned to obtain the measured sag, measured conductor temperature, measured wind speed, measured conductor current, measured solar radiation intensity, and measured ambient temperature. The measured sag, measured conductor temperature, measured wind speed, measured conductor current, measured solar radiation intensity, and measured ambient temperature are determined as the real-time monitoring data of the transmission line.

10. A power transmission line dispatching device, characterized in that, include: The module includes a data acquisition module, a sag calculation module, a wind speed function construction module, a temperature function construction module, an objective function construction module, a parameter optimization module, a carrying capacity calculation module, and a scheduling module. The data acquisition module is used to acquire real-time monitoring data and structural parameters of the transmission line; wherein, the real-time monitoring data includes measured sag, measured conductor temperature, measured wind speed, measured conductor current, measured solar radiation intensity, and measured ambient temperature; The sag calculation module is used to calculate the sag of the transmission line based on the measured conductor temperature, the measured wind speed, and the structural parameters. The wind speed function construction module is used to construct a wind speed calculation function based on a preset convective heat dissipation coefficient and an empirical coefficient to be optimized. The temperature function construction module is used to construct a temperature calculation function based on the heat absorption rate of the conductor surface to be optimized, the emissivity of the conductor surface to be optimized, the preset convective heat dissipation coefficient, the measured conductor temperature, the measured conductor current, the measured solar radiation intensity, the measured ambient temperature, and the structural parameters. The objective function construction module is used to construct a joint objective function with the minimum overall error based on the measured sag, the measured conductor temperature, the measured wind speed, the calculated sag, the wind speed calculation function, and the temperature calculation function. The parameter optimization module is used to solve the joint objective function to obtain the optimized conductor surface heat absorption rate and optimized conductor surface emissivity; The current carrying capacity calculation module is used to calculate the maximum current carrying capacity of the transmission line based on the optimized conductor surface heat absorption rate, the optimized conductor surface emissivity, the preset convective heat dissipation coefficient, the real-time monitoring data, and the structural parameters. The scheduling module is used to schedule the transmission line based on the maximum carrying capacity.

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