Method and device for determining maximum photovoltaic bearing capacity of line and computer equipment

Abstract

The invention relates to a method and device for determining the maximum photovoltaic bearing capacity of a line and computer equipment. The method comprises the following steps: acquiring line temperature and environment information of a target phase in a target line; the target phase is any phase in the target line; determining a dynamic line rated current value of the target phase according to the line temperature and the environment information; and determining the maximum photovoltaic bearing capacity of the target phase according to the rated current value of the dynamic line. The method can improve the utilization rate of photovoltaic resources.

Description

Technical Field

[0001] The present application relates to the technical field of smart grids, and particularly to a method, device, computer device, computer-readable storage medium, and computer program product for determining the maximum photovoltaic carrying capacity of a line. Background Art

[0002] With the acceleration of the global energy transition, the large-scale access of distributed photovoltaics in low-voltage distribution networks has become a trend. However, the intermittent and volatile characteristics of photovoltaic power generation pose significant challenges to the operation of distribution networks, especially in problems such as voltage over-limit and line overload. These problems not only affect the safe and stable operation of distribution networks but also limit the further consumption of photovoltaic power generation.

[0003] Traditional distribution network regulation methods are usually based on static line ratings. However, if only static ratings are considered in the assessment of photovoltaic access, the actual carrying capacity of the line may be underestimated, resulting in the restricted access of photovoltaic resources that originally have access capabilities, causing waste of photovoltaic resources and thus leading to a low utilization rate of photovoltaic resources. Summary of the Invention

[0004] Based on this, it is necessary to provide a method, device, computer device, computer-readable storage medium, and computer program product for determining the maximum photovoltaic carrying capacity of a line that can improve the utilization rate of photovoltaic resources in response to the above technical problems.

[0005] In a first aspect, the present application provides a method for determining the maximum photovoltaic carrying capacity of a line, including:

[0006] Obtain the line temperature and environmental information of the target phase in the target line; the target phase is any one of the phases in the target line;

[0007] Determine the dynamic line rated current value of the target phase according to the line temperature and the environmental information;

[0008] Determine the maximum photovoltaic carrying capacity of the target phase according to the dynamic line rated current value.

[0009] In one embodiment, the determining the dynamic line rated current value of the target phase according to the line temperature and the environmental information includes:

[0010] Determine the radiative heat loss information, convective heat loss information, and solar heat gain information of the target phase according to the line temperature and the environmental information;

[0011] Determine the dynamic line rated current value of the target phase according to the radiative heat loss information, the convective heat loss information, the solar heat gain information, and the line temperature.

[0012] In one embodiment, the environmental information at least includes environmental temperature, wind direction information, wind speed information, and solar radiation intensity;

[0013] Determining the radiative heat loss information, convective heat loss information, and solar heat gain information of the target phase according to the line temperature and the environmental information respectively includes:

[0014] Determining the radiative heat loss information of the target phase according to the environmental temperature and the line temperature;

[0015] Determining the convective heat loss information of the target phase according to the environmental temperature, the line temperature, the wind direction information, and the wind speed information;

[0016] Determining the solar heat gain information of the target phase according to the solar radiation intensity.

[0017] In one embodiment, determining the maximum photovoltaic carrying capacity of the target phase according to the dynamic line rated current value includes:

[0018] Determining the dynamic line rated current value as the upper limit of the current constraint of the target phase to obtain the current constraint information of the target phase;

[0019] Determining the maximum photovoltaic carrying capacity of the target phase based on the constraint information of the target phase; the constraint information of the target phase includes the current constraint information, the preset voltage constraint information, and the preset power factor constraint information.

[0020] In one embodiment, determining the maximum photovoltaic carrying capacity of the target phase based on the constraint information of the target phase includes:

[0021] Continuously increasing the photovoltaic carrying capacity of the target phase and adjusting the voltage of the target phase by using the reactive voltage droop control method to obtain the real-time voltage and real-time current of the target phase;

[0022] When the real-time voltage or real-time current of the target phase exceeds the constraint information of the target phase, or when the photovoltaic carrying capacity of the target phase increases to the maximum value of the input photovoltaic, determining the current photovoltaic carrying capacity of the target phase as the maximum photovoltaic carrying capacity of the target phase.

[0023] In one embodiment, after determining the maximum photovoltaic carrying capacity of the target phase, it further includes:

[0024] When the target phase meets the preset conditions, determine whether there are other phases that do not meet the preset conditions to obtain a determination result; the preset conditions are that the voltage and / or current of the target phase exceed their respective preset thresholds, and the preset threshold corresponding to the current of the target phase is determined based on the dynamic line rated current value;

[0025] When the determination result is that there are other phases that do not meet the preset conditions, transfer a preset number of photovoltaics connected to the target phase to the other phases that do not meet the preset conditions, and re-determine the maximum photovoltaic carrying capacity of the target phase;

[0026] When the determination result is that there are no other phases that do not meet the preset conditions, adjust the photovoltaic reactive power input to the target phase, and / or use a on-load tap-changer transformer to adjust the voltage and / or current of the target phase, and re-determine the maximum photovoltaic carrying capacity of the target phase.

[0027] In a second aspect, the present application also provides a device for determining the maximum photovoltaic carrying capacity of a line, including:

[0028] An initial information acquisition module, configured to acquire the line temperature and environmental information of the target phase in the target line; the target phase is any one phase in the target line;

[0029] A dynamic rating determination module, configured to determine the dynamic line rated current value of the target phase according to the line temperature and the environmental information;

[0030] A photovoltaic carrying capacity determination module, configured to determine the maximum photovoltaic carrying capacity of the target phase according to the dynamic line rated current value.

[0031] In a third aspect, the present application also provides a computer device, including a memory and a processor, where the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0032] Acquire the line temperature and environmental information of the target phase in the target line; the target phase is any one phase in the target line;

[0033] Determine the dynamic line rated current value of the target phase according to the line temperature and the environmental information;

[0034] Determine the maximum photovoltaic carrying capacity of the target phase according to the dynamic line rated current value.

[0035] In a fourth aspect, the present application also provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0036] Obtain the line temperature and environmental information of the target phase in the target line; the target phase is any one of the phases in the target line;

[0037] Determine the dynamic line rated current value of the target phase according to the line temperature and the environmental information;

[0038] Determine the maximum photovoltaic carrying capacity of the target phase according to the dynamic line rated current value.

[0039] In a fifth aspect, the present application also provides a computer program product, including a computer program, which when executed by a processor implements the following steps:

[0040] Obtain the line temperature and environmental information of the target phase in the target line; the target phase is any one of the phases in the target line;

[0041] Determine the dynamic line rated current value of the target phase according to the line temperature and the environmental information;

[0042] Determine the maximum photovoltaic carrying capacity of the target phase according to the dynamic line rated current value.

[0043] Method, apparatus, computer device, computer-readable storage medium, and computer program product for determining the maximum photovoltaic carrying capacity of the above-mentioned line. First, obtain the line temperature and environmental information of the target phase in the target line, where the target phase is any one phase in the target line. By obtaining the key parameters affecting the line carrying capacity, including real-time line current, temperature, and environmental conditions (such as wind speed, temperature, etc.), it is ensured that the calculated line rating can dynamically reflect the actual operating state of the line, making the calculation of the line carrying capacity more accurate, and thus providing reliable data support for the subsequent photovoltaic carrying capacity calculation. Then, according to the line temperature and environmental information, determine the dynamic line rated current value of the target phase, calculate a more accurate dynamic line rating based on the actual operating environment, ensure that the line can operate within a safe temperature range, and make full use of its carrying capacity, making the evaluation of the line carrying capacity more scientific and reasonable, improving the feasibility and safety of photovoltaic grid connection. Finally, according to the dynamic line rated current value, determine the maximum photovoltaic carrying capacity of the target phase. By dynamically adjusting the photovoltaic access amount, it is ensured that the maximum access capacity of the photovoltaic system conforms to the true carrying capacity of the line, while avoiding line overload or voltage over-limit, improving the photovoltaic accommodation capacity, enhancing the utilization rate of renewable energy, and ensuring the safe and stable operation of the power grid. In the above method, the maximum carrying capacity of photovoltaic is optimized based on the dynamic line rating, enabling the photovoltaic system to connect to the distribution network as much as possible within a safe range, improving the photovoltaic accommodation capacity, and avoiding line overload and voltage over-limit problems at the same time. Compared with the traditional regulation method based on static rating, it can make full use of the actual carrying capacity of the line, maximize the utilization rate of photovoltaic resources, effectively improve the new energy acceptance capacity of the power grid, and reduce the resource waste caused by static limits, providing more scientific and reasonable technical support for the large-scale access of distributed photovoltaic. Description of the Drawings

[0044] To more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following will briefly introduce the drawings required for use in the description of the embodiments of the present application or related technologies. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other related drawings can also be obtained based on these drawings.

[0045] Figure 1 It is a schematic flowchart of the method for determining the maximum photovoltaic carrying capacity of the line in an embodiment;

[0046] Figure 2 It is a schematic flowchart of the steps for determining the dynamic line rated current value in an embodiment;

[0047] Figure 3 It is a schematic flowchart of the steps for determining the maximum photovoltaic carrying capacity in an embodiment;

[0048] Figure 4 Schematic diagram of the function image of the photovoltaic reactive voltage control function for reactive voltage droop control in an embodiment;

[0049] Figure 5 Block diagram of the structure of the maximum photovoltaic carrying capacity determination device for a line in an embodiment;

[0050] Figure 6 Internal structure diagram of a computer device in an embodiment. Detailed implementation manners

[0051] In order to make the objectives, technical solutions and advantages of the present application clearer and more understandable, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0052] In an embodiment, as Figure 1 shown, a method for determining the maximum photovoltaic carrying capacity of a line is provided. In this embodiment, this method is exemplified by being applied to a terminal. It can be understood that this method can also be applied to a server, and can also be applied to a system including a terminal and a server, and is implemented through the interaction between the terminal and the server. Among them, the terminal can be, but is not limited to, various personal computers, laptop computers, smart phones, tablet computers, etc. The server can be an independent physical server, can also be a server cluster or distributed system composed of multiple physical servers, and can also be a cloud server providing cloud computing services. In this embodiment, the method includes the following steps:

[0053] Step S101, obtain the line temperature and environmental information of the target phase in the target line.

[0054] Wherein, the target phase is any one of the phases (phase A, phase B or phase C) in the target line. Since the voltage, current, and load distribution of each phase in a three-phase distribution network may be different, it is necessary to measure the operating state of each phase separately to determine its maximum photovoltaic carrying capacity.

[0055] The line temperature refers to the real-time temperature of the target phase conductor, which is affected by factors such as line current, environmental temperature, and wind speed. The change of the line temperature directly affects the resistance characteristics and carrying capacity of the line, and is an important parameter for calculating the dynamic line rated current value.

[0056] The environmental information includes environmental temperature, wind speed, wind direction, solar radiation intensity, etc., and is used to evaluate the heat dissipation of the conductor. The environmental temperature determines the initial thermal state of the conductor, the wind speed and wind direction affect the convective cooling effect of the conductor, and solar radiation will additionally increase the conductor temperature. These factors together determine the thermal equilibrium state and maximum carrying capacity of the line.

[0057] Exemplarily, the terminal obtains the line current, conductor temperature, and environmental information of the target phase in real time through measurement devices (such as smart meters, temperature sensors, meteorological monitoring devices, etc.) installed in the distribution network. The terminal first identifies the target line and selects the target phase therein, then measures the surface temperature of the conductor through the temperature sensor to judge the operating state of the line; at the same time, environmental parameters such as ambient temperature, wind speed, wind direction, and solar radiation are obtained through meteorological monitoring devices or networked data.

[0058] Step S102: Determine the dynamic line rated current value of the target phase according to the line temperature and environmental information.

[0059] The dynamic line rated current value refers to the maximum current value that the line of this phase can carry under the premise of ensuring a safe temperature and thermal balance, considering the influence of current line environmental conditions (such as wind speed, temperature, solar radiation). This value reflects the actual load-bearing capacity of the line under real-time operating conditions. Compared with the traditional calculation based on static rated values, the dynamic line rated current value can more accurately reflect the influence of environmental conditions on the line's load-bearing capacity.

[0060] Exemplarily, the terminal calculates the allowable current of the target phase by obtaining the line current, line temperature, and environmental information of the target phase and combining the grid operation rules and line heat dissipation characteristics. The terminal first evaluates the current thermal load state of the conductor using the line current and temperature information, and at the same time judges the heat dissipation capacity of the line in combination with environmental information (such as wind speed, wind direction, air temperature, etc.). On this basis, the terminal calculates the maximum safe load-bearing current value of the target phase under the current environmental conditions based on the line thermal balance model, providing a basis for the subsequent determination of the photovoltaic load-bearing capacity.

[0061] Step S103: Determine the maximum photovoltaic load-bearing capacity of the target phase according to the dynamic line rated current value.

[0062] The maximum photovoltaic load-bearing capacity refers to the maximum active power that the photovoltaic system can access within the safe operating range of the line of the target phase. This value is usually obtained by converting the dynamic line rated current value into the corresponding power upper limit and calculating it in combination with parameters such as voltage level and power factor. On the premise of ensuring that the line current does not exceed the dynamic line rated current value, the determination of the maximum photovoltaic load-bearing capacity needs to comprehensively consider the power output characteristics of the photovoltaic connection point, grid operation constraints, and voltage stability requirements.

[0063] Exemplarily, after obtaining the dynamic line rated current value of the target phase, the terminal calculates the maximum photovoltaic power generation that can be connected to this phase under the condition of at least not exceeding the maximum safe current of the line in combination with the current photovoltaic grid connection point power output situation. The terminal first evaluates the output capacity of the current photovoltaic system and determines the upper limit of the photovoltaic power that this phase can additionally accommodate based on the dynamic line rated current value. At the same time, the terminal also needs to combine the voltage level of the power grid to ensure that the increase in photovoltaic power does not cause voltage over-limit or line overload. After completing the calculation of the maximum photovoltaic bearing capacity, the terminal stores or uploads the calculation result to the power grid dispatching system for photovoltaic access planning and operation optimization.

[0064] In the above method for determining the maximum photovoltaic bearing capacity of the line, first, the line temperature and environmental information of the target phase in the target line are obtained. Here, the target phase is any one phase in the target line. By obtaining the key parameters affecting the line bearing capacity, including the real-time line current, temperature, and environmental conditions (such as wind speed, temperature, etc.), it is ensured that the calculated line rating can dynamically reflect the actual operating state of the line, making the calculation of the line bearing capacity more accurate, thereby providing reliable data support for subsequent photovoltaic bearing capacity calculations. Then, according to the line temperature and environmental information, the dynamic line rated current value of the target phase is determined. Based on the actual operating environment, a more accurate dynamic rating is calculated to ensure that the line can operate within a safe temperature range and make full use of its bearing capacity, making the evaluation of the line bearing capacity more scientific and reasonable, and improving the feasibility and safety of photovoltaic grid connection. Finally, according to the dynamic line rated current value, the maximum photovoltaic bearing capacity of the target phase is determined. By dynamically adjusting the photovoltaic access amount, it is ensured that the maximum access capacity of the photovoltaic system conforms to the true bearing capacity of the line, while avoiding line overload or voltage over-limit, improving the photovoltaic accommodation capacity, enhancing the utilization rate of renewable energy, and ensuring the safe and stable operation of the power grid. In the above method, the maximum bearing capacity of the photovoltaic is optimized based on the dynamic line rating, enabling the photovoltaic system to connect to the distribution network as much as possible within a safe range, improving the photovoltaic accommodation capacity, while avoiding line overload and voltage over-limit problems. Compared with the traditional control method based on static ratings, it can make full use of the actual bearing capacity of the line, maximize the utilization rate of photovoltaic resources, effectively improve the new energy acceptance capacity of the power grid, and reduce the resource waste caused by static limits, providing more scientific and reasonable technical support for the large-scale access of distributed photovoltaics.

[0065] In an exemplary embodiment, as Figure 2 shown, the above step S102 of determining the dynamic line rated current value of the target phase according to the line temperature and environmental information can also be implemented through the following steps:

[0066] Step S201: Determine the radiative heat loss information, convective heat loss information, and solar heat gain information of the target phase based on the line temperature and environmental information respectively.

[0067] Step S202: Determine the dynamic line rated current value of the target phase based on the radiative heat loss information, convective heat loss information, solar heat gain information, and line temperature.

[0068] Among them, the radiative heat loss information refers to the heat lost by the conductor of the target phase due to heat radiation, which is related to the surface characteristics of the conductor and the temperature gradient. The emissivity of the conductor surface and the ambient temperature affect its heat radiation ability. A higher ambient temperature may reduce the heat radiation effect, thereby reducing the heat dissipation ability of the line.

[0069] The convective heat loss information refers to the heat lost by the conductor of the target phase through air convection, which is affected by factors such as wind speed, wind direction, and ambient temperature. A higher wind speed usually enhances the cooling ability of the line and improves its dynamic carrying capacity, while changes in wind direction may lead to differences in heat dissipation effects, making the temperature changes in some line areas more significant.

[0070] The solar heat gain information refers to the heat obtained by the conductor of the target phase due to solar radiation absorption, which is related to factors such as solar radiation intensity, incident angle, and absorption rate of the conductor material. When a large number of photovoltaic systems are connected, the temperature of the line may rise rapidly under high radiation conditions, affecting the change of dynamic carrying capacity. Therefore, accurately evaluating the solar heat gain is crucial for calculating the dynamic line rating.

[0071] Exemplarily, after the terminal collects the line temperature and environmental information of the target phase, it first independently calculates the radiative heat loss information, convective heat loss information, and solar heat gain information of the target phase. The terminal calculates the radiative heat loss of the target phase through the heat balance formula, combined with the conductor material characteristics and real-time environmental data, analyzes the heat dissipation effect of convective heat transfer through wind speed and wind direction data, and evaluates the solar heat gain absorbed by the conductor based on the data of the solar radiation sensor. Subsequently, the terminal uses the above heat loss and heat gain information, combined with the line temperature of the target phase, to calculate the dynamic line rated current value of this phase.

[0072] In a specific example, the steady-state heat balance equation is: .

[0073] Among them, is the radiative heat loss; is the convective heat loss; is the solar heat gain; is the joule heat gain. And can be expressed as: .

[0074] Among them, , and respectively represent the current flowing through the conductor, the line temperature, and the AC resistance. It can be expressed as: .

[0075] Among them, , , and respectively represent the DC resistance at the reference temperature, the ratio of the AC resistance to the DC resistance, the temperature coefficient of the resistance, and the reference temperature (in degrees Celsius), which are usually fixed parameters.

[0076] Calculate the dynamic line rated current value:

[0077]

[0078] Among them, is the maximum allowable temperature of the line (a fixed parameter).

[0079] In this embodiment, by independently calculating the radiative heat loss, convective heat loss, and solar heat gain of the target phase, the accurate evaluation of the dynamic line rated current value is achieved, thereby improving the safety and flexibility of PV access to the distribution network. Compared with the method based only on the static line rating, it can fully consider the influence of environmental factors on the line thermal balance state, making the dynamic line rated current value more in line with the actual operating conditions and avoiding the underestimation of PV access capacity or the risk of line overload caused by estimation errors. In addition, it can also adapt to the line operating state under different environmental conditions. In special cases such as high wind speed or strong solar radiation, it can automatically adjust the evaluation result of the line carrying capacity, thereby improving the utilization rate of photovoltaic power generation and ensuring the stable operation of the distribution network.

[0080] In an exemplary embodiment, the environmental information at least includes the environmental temperature, wind direction information, wind speed information, and solar radiation intensity; the above step S201 determines the radiative heat loss information, convective heat loss information, and solar heat gain information of the target phase according to the line temperature and environmental information, and further includes: determining the radiative heat loss information of the target phase according to the environmental temperature and the line temperature; determining the convective heat loss information of the target phase according to the environmental temperature, the line temperature, the wind direction information, and the wind speed information; determining the solar heat gain information of the target phase according to the solar radiation intensity.

[0081] Exemplarily, after the terminal collects the line temperature and environmental information of the target phase, it first calculates the radiative heat loss information, convective heat loss information, and solar heat gain information of the target phase respectively. The terminal calculates the radiative heat loss of the target phase through the ambient temperature and the line temperature, and evaluates the heat dissipation situation based on the radiation characteristics of the conductor material. Then, the terminal calculates the convective heat loss of the target phase according to the ambient temperature, the line temperature, the wind direction information, and the wind speed information, and evaluates the cooling effect of the air flow on the conductor in combination with the wind speed model. Finally, the terminal calculates the solar heat gain of the target phase through the solar radiation intensity, and determines the increased heat load of the conductor due to solar irradiation. After the calculation is completed, the terminal stores or uploads the heat loss and gain information of each item to support the calculation of the subsequent dynamic line rated current value.

[0082] In a specific example, the radiative heat loss: .

[0083] Where, is the Stefan-Boltzmann constant, , is the line emissivity, indicating the absorption and emission ability of the object surface to thermal radiation.

[0084] The convective heat loss:

[0085]

[0086] Where, .

[0087] The solar heat gain: .

[0088] Where, , , and are the line solar absorptivity, conductor diameter, direct and diffuse solar radiation intensities respectively, , , , and are the air thermal conductivity, ambient temperature (in degrees Celsius), wind direction information, wind speed information, and air kinematic viscosity coefficient.

[0089] It should be noted that the Stefan-Boltzmann constant, line emissivity, line solar absorptivity, conductor diameter, air thermal conductivity, and air kinematic viscosity coefficient are usually fixed parameters.

[0090] In this embodiment, through the dynamic monitoring of environmental temperature, wind direction, wind speed, and solar radiation intensity, and combined with fixed parameters (such as conductor emissivity, air thermal conductivity, solar absorptivity, etc.), the accurate calculation of radiative heat loss, convective heat loss, and solar heat gain is achieved, thereby improving the accuracy of the dynamic line rated current value. Compared with the traditional method that only relies on static ratings, it can adjust the thermal balance calculation in real time, making the evaluation of the line carrying capacity more in line with the actual operating state. By comprehensively considering the influence of wind direction and wind speed on heat dissipation, the dynamic current-carrying capacity of the line can be optimized to avoid local overheating; by accurately calculating the solar heat gain, the photovoltaic access strategy can be reasonably adjusted in a high-sunshine environment to ensure the maximum grid connection of photovoltaic power generation while ensuring the safe and stable operation of the power grid.

[0091] In an exemplary embodiment, as Figure 3 shown, the above step S103 determines the maximum photovoltaic carrying capacity of the target phase according to the dynamic line rated current value, and can also be implemented through the following steps:

[0092] Step S301, determine the dynamic line rated current value as the upper limit value of the current constraint of the target phase to obtain the current constraint information of the target phase;

[0093] Step S302, based on the constraint information of the target phase, determine the maximum photovoltaic carrying capacity of the target phase.

[0094] Among them, the constraint information of the target phase includes current constraint information, preset voltage constraint information, and preset power factor constraint information.

[0095] Among them, the current constraint information refers to the current upper limit determined based on the dynamic line rated current value of the target phase, ensuring that the line current does not exceed its actual carrying capacity. Since the increase in current will cause the conductor temperature to rise, and too high temperature may affect the stability and safety of the line, setting the current constraint information through the dynamic line rated current value can prevent the line from failing due to photovoltaic grid connection overload.

[0096] The preset voltage constraint information refers to the voltage safety range that needs to be observed during the photovoltaic access process, usually set according to the power grid operation standard to ensure that the photovoltaic access will not cause voltage over-limit. The distribution network usually requires the voltage to be maintained within the set upper and lower limits to avoid high voltage affecting equipment safety or low voltage affecting power quality. Therefore, the voltage constraint information is one of the important factors affecting the maximum photovoltaic carrying capacity.

[0097] The preset power factor constraint information refers to the power factor requirement that needs to be met during the photovoltaic access to ensure the reactive power balance of the power grid and avoid voltage instability caused by insufficient reactive power compensation or reactive power over-limit. The photovoltaic system usually adjusts the power factor through an inverter to ensure that it will not affect the power quality of the power grid during grid-connected operation.

[0098] Exemplarily, after calculating the dynamic line rated current value of the target phase, the terminal uses it as the current constraint upper limit of the target phase to generate the current constraint information of the target phase. Subsequently, the terminal combines the preset voltage constraint information and the preset power factor constraint information of the target phase to form the complete constraint information of the target phase. Based on these constraint information, the terminal calculates the maximum photovoltaic carrying capacity of the target phase to ensure that the photovoltaic access amount reaches the maximum under the premise of meeting the requirements of current, safe voltage, and power factor. After the calculation is completed, the terminal stores or uploads the result to the power grid dispatching system to support the photovoltaic access planning and the optimization of power grid operation.

[0099] In a specific example, the preset voltage constraint information includes a voltage constraint lower limit value and a voltage constraint upper limit value; the constraint lower limit value of the preset power factor constraint information is 0.9, and the constraint upper limit value is 1.

[0100] In this embodiment, by comprehensively considering the dynamic line rated current, voltage constraint, and power factor constraint, the maximum photovoltaic carrying capacity of the target phase is accurately determined, improving the safety of photovoltaic access and the stability of the power grid. Among them, by setting the dynamic current constraint information, it is ensured that the line will not be overloaded due to photovoltaic grid connection. At the same time, combined with the voltage constraint information, voltage over-limit is prevented, and the reactive power regulation is optimized through the power factor constraint to improve the grid connection quality of the photovoltaic system. Thus, it can dynamically adapt to different power grid operation conditions, improve the photovoltaic accommodation capacity, and ensure the safe and stable operation of the power grid.

[0101] In an exemplary embodiment, the above step S302 of determining the maximum photovoltaic carrying capacity of the target phase based on the constraint information of the target phase further includes: continuously increasing the photovoltaic carrying capacity of the target phase, and adopting the reactive voltage droop control method to adjust the voltage of the target phase to obtain the real-time voltage and real-time current of the target phase; when the real-time voltage or real-time current of the target phase exceeds the constraint information of the target phase, or when the photovoltaic carrying capacity of the target phase increases to the maximum value of the inputtable photovoltaic, the current photovoltaic carrying capacity of the target phase is determined as the maximum photovoltaic carrying capacity of the target phase.

[0102] Among them, the photovoltaic carrying capacity refers to the maximum photovoltaic power output that the target phase can safely accept, ensuring that the access of the photovoltaic system will not cause unstable effects on the power grid. The calculation of the maximum photovoltaic carrying capacity is not only limited by the dynamic line rated current but also affected by voltage and power factor constraints.

[0103] The reactive voltage droop control means that during the process of increasing the photovoltaic carrying capacity, the reactive power regulation ability of the photovoltaic inverter is utilized to keep the voltage of the target phase within the allowable range. This control method can dynamically adjust the reactive power output of the photovoltaic system, making the voltage automatically stable as the photovoltaic output changes, thereby avoiding the voltage over-limit problem caused by excessive photovoltaic access.

[0104] Real-time voltage and real-time current refer to the current voltage and current states of the target phase during the process of continuously increasing the photovoltaic carrying capacity. As the photovoltaic output increases, the voltage of the target phase may rise, and the current may gradually approach the upper limit of the dynamic line rated current. Therefore, real-time monitoring of these two parameters is crucial for determining the photovoltaic carrying capacity.

[0105] Exemplarily, when calculating the maximum photovoltaic carrying capacity of the target phase, the terminal adopts the method of gradually increasing the photovoltaic output, continuously improves the photovoltaic power generation of the target phase, and real-time monitors the changes in the voltage and current of the target phase. In each power increase stage, the terminal uses reactive voltage droop control to adjust the reactive power of the target phase, so that the voltage remains stable within a preset range, and at the same time records the impact of the change in photovoltaic power on the grid state of the target phase. When the terminal monitors that the real-time voltage or real-time current of the target phase exceeds the constraint information of the target phase (such as the voltage exceeding the upper limit or the current exceeding the dynamic line rating), or the photovoltaic output of the target phase reaches the maximum output capacity of the photovoltaic device, the terminal will determine the current photovoltaic carrying capacity as the maximum photovoltaic carrying capacity of the target phase and stop increasing the photovoltaic output. The final calculation result will be stored or uploaded to the power grid dispatching system to guide the photovoltaic access planning and power grid operation optimization.

[0106] It should be noted that this process can be carried out in a real scenario or a simulation experiment to ensure the accuracy and applicability of the calculation results:

[0107] In a real scenario, the terminal directly interacts with the photovoltaic system and monitoring equipment in the distribution network, gradually increases the photovoltaic output of the target phase, and uses reactive voltage droop control to adjust the voltage, while real-time monitoring the changes in the voltage and current of the target phase. In each photovoltaic power increase stage, the terminal will judge whether the constraint upper limit is reached based on the real-time grid state, and finally determine the maximum photovoltaic carrying capacity of the target phase. This method is applicable to the actual power grid operation environment and can directly guide the dynamic scheduling and access planning of the photovoltaic system.

[0108] In the simulation experiment, the terminal constructs a distribution network model on a simulation platform such as MATLAB / Simulink (a visual simulation tool), PSCAD (Power Systems Computer Aided Design, an electromagnetic transient simulation software), or Digsilent PowerFactory (a power system analysis tool), and simulates different photovoltaic access scenarios. By gradually increasing the photovoltaic power output and using the simulation inverter to perform reactive voltage droop control, the terminal can calculate the changes in photovoltaic carrying capacity under different grid operating conditions. The simulation environment can be used to verify the effectiveness of the algorithm, optimize the photovoltaic access strategy, and quickly obtain the carrying capacity data under various operating conditions without actual equipment experiments.

[0109] In a specific example, an optimization model is constructed with the maximum photovoltaic carrying capacity as the objective function, specifically:

[0110]

[0111] where, is the set of photovoltaic owners; is a coefficient, expressing the fair distribution of the grid-connected capacity of photovoltaic owners in the low-voltage distribution network; is the capacity of each photovoltaic inverter.

[0112] As Figure 4 shown, the photovoltaic reactive voltage control function of reactive voltage droop control is as follows:

[0113]

[0114] where, is the reactive power output of the target photovoltaic inverter at time t; is the maximum reactive power output capacity of the target inverter; is the maximum reactive power absorption capacity of the target inverter; is the voltage of the target phase at time t; V 0 is the lower voltage limit value, V 3 is the upper voltage limit value; V 1 and V 2 The value ranges of are (V 0 , V 3 ), where V 1 should be less than the standard voltage value, and the closer to the standard value, the smoother the reactive power output. V 2 should be greater than the standard voltage value, and the closer to the standard value, the smoother the reactive power absorption.

[0115] When the voltage is lower than V 0When the voltage is low, the PV inverter outputs reactive power to the maximum extent to help increase the voltage and avoid the impact of too low voltage on the operation of user-side equipment; when the voltage is between V 0 and V 1 , the inverter still provides reactive power, but gradually reduces it to prevent excessive voltage fluctuations and ensure the stability of the power grid; when the voltage is between V 1 and V 2 , the inverter does not provide reactive power. At this time, the voltage is close to the standard voltage and the power grid is in an optimal state; when the voltage is between V 2 and V 3 , the inverter begins to gradually absorb reactive power to help reduce the voltage and prevent the grid voltage from rising too fast; when the voltage is higher than V 3 , the inverter absorbs the maximum reactive power to fully suppress the voltage rise and protect the stable operation of the power grid.

[0116] That is, when the voltage is too low, the inverter provides reactive power to increase the voltage; when the voltage is normal, the inverter does not provide reactive power; when the voltage is too high, the inverter absorbs reactive power to reduce the voltage; V 1 and V 2 control the smoothness of reactive power regulation and avoid sudden changes affecting the stability of the power grid.

[0117] In this embodiment, by gradually increasing the PV carrying capacity and adopting the reactive power-voltage droop control method, the accurate determination of the maximum PV carrying capacity of the target phase is realized. Compared with the static calculation method, it can monitor the changes of voltage and current in real time, and optimize the voltage level through reactive power regulation, so that the PV access capacity is maximized on the premise of meeting the safe operation of the power grid. In addition, the step-by-step increment strategy can effectively avoid the problem of instantaneous PV access overload, improve the adaptability of the PV system and the stability of the power grid operation, enable the PV system to perform optimally under different working conditions, and ensure the safe and stable operation of the power grid at the same time.

[0118] In an exemplary embodiment, after determining the maximum PV carrying capacity of the target phase in step S103 above, it further includes: when the target phase meets the preset conditions, determining whether there are other phases that do not meet the preset conditions to obtain a determination result; the preset conditions are that the voltage and / or current of the target phase exceed their respective preset thresholds, and the preset threshold corresponding to the current of the target phase is determined based on the dynamic line rated current value; when the determination result is that there are other phases that do not meet the preset conditions, transfer a preset number of PVs connected to the target phase to other phases that do not meet the preset conditions, and re-determine the maximum PV carrying capacity of the target phase; when the determination result is that there are no other phases that do not meet the preset conditions, adjust the PV reactive power input to the target phase, and / or use a on-load tap-changer to adjust the voltage and / or current of the target phase, and re-determine the maximum PV carrying capacity of the target phase.

[0119] Among them, the preset conditions refer to that after the photovoltaic system is connected, the voltage or current of the target phase exceeds the set safety threshold. These thresholds are used to restrict the maximum load-carrying capacity of photovoltaic access to ensure the stable operation of the power grid. Among them, the preset threshold of current is calculated based on the dynamic line rated current value, that is, the maximum current that the line can carry under the current environmental conditions, ensuring that the line temperature will not exceed the limit or there will be safety hazards due to overload.

[0120] The other phases that do not meet the preset conditions refer to the phases in the power grid that still have available load-carrying capacity, that is, their voltage or current is still within the safe range and can accept part of the photovoltaic access transferred from the target phase. Due to the possible imbalance in the three-phase load distribution in the distribution network, when the target phase reaches the maximum photovoltaic load-carrying capacity, redistributing part of the photovoltaic load to the phases that have not reached the upper limit can further improve the overall photovoltaic acceptance capacity and balance the operating states of each phase.

[0121] Photovoltaic transfer refers to transferring the part of the photovoltaic load that exceeds the safe range in the target phase to other phases that still have load-carrying capacity to prevent overload or voltage over-limit problems in a single phase. This method can achieve the optimal distribution of photovoltaic power without reducing the overall photovoltaic power generation, and improve the safety and stability of system operation.

[0122] Photovoltaic reactive power regulation adjusts the voltage level of the target phase by adjusting the reactive power output of the photovoltaic inverter to alleviate the voltage over-limit problem caused by photovoltaic access. When the photovoltaic power generation increases, it may cause the voltage to rise, and the inverter can absorb reactive power to reduce the voltage to ensure that the grid voltage is within the safe range.

[0123] On-load tap changer (OLTC) regulation is mainly used when photovoltaic reactive power regulation is insufficient to control the voltage. By adjusting the transformer tap, the grid voltage is further adjusted to return it to the normal range. This method is suitable for larger-scale voltage adjustment. For example, in a low-voltage distribution network, due to the large amount of photovoltaic access, the overall voltage may rise. The on-load tap changer can adjust the tap position to keep the voltage of the entire system within the allowable range.

[0124] Exemplarily, after the target phase reaches the maximum photovoltaic load-carrying capacity, the terminal first checks whether the target phase meets the preset conditions, that is, whether the voltage or current exceeds the safety threshold. If the target phase operates within the safe range, no adjustment is required. If the voltage or current of the target phase is over-limit, the terminal further detects whether there is still available load-carrying capacity in other phases, that is, whether there are other phases that do not meet the preset conditions.

[0125] If there is available phase, the terminal transfers part of the photovoltaic power in the target phase to these phases to balance the photovoltaic load, improve the overall load-carrying capacity of the power grid, and avoid overloading or voltage over-limit of a single phase. If all phases have reached the limit, the terminal starts reactive power optimization or on-load tap changer regulation to reduce the voltage or current of the target phase and ensure the stable operation of the system after photovoltaic access.

[0126] Finally, the terminal stores or uploads the calculation results to the power grid dispatching system to guide the dynamic access and operation optimization of the photovoltaic system.

[0127] In addition, if the transfer of photovoltaic power or reactive power / on-load tap changer regulation is carried out, it may affect the operating conditions of the entire system. Then, it is necessary to re-evaluate the maximum photovoltaic load-carrying capacity of the target phase and other phases to ensure the accuracy of subsequent photovoltaic access.

[0128] In a specific example, the preset condition can be that the voltage of the target phase reaches the upper limit value of the voltage constraint, or the difference between the current of the target phase and the dynamic line rated current value is less than the preset difference, that is, 。

[0129] In this embodiment, after the target phase reaches the maximum photovoltaic load-carrying capacity, the photovoltaic transfer, reactive power regulation and on-load tap changer optimization strategies are adopted to further improve the photovoltaic accommodation capacity and optimize the operation state of the power grid. Thus, the photovoltaic distribution can be dynamically adjusted. When the load-carrying capacity of a certain phase reaches the limit, the remaining load-carrying capacity of other phases can be fully utilized to improve the overall photovoltaic accommodation efficiency. In addition, through reactive power regulation and on-load tap changer regulation, the voltage over-limit problem can be effectively suppressed to ensure the safety and stability of the power grid operation. Especially in the low-voltage distribution network, the large-scale access of the photovoltaic system is likely to cause voltage fluctuations. The regulation method of this embodiment can flexibly adapt to different working conditions, improve the access flexibility of the photovoltaic system, and make the distribution network more stable and reliable.

[0130] In an exemplary embodiment, as shown in Table 1 below, the relevant data collected before applying the method for determining the maximum photovoltaic load-carrying capacity of the line of the present application include the three-phase voltage of the node, the real-time grid-connected power of the photovoltaic, and the maximum grid-connected power of the photovoltaic.

[0131] Furthermore, optimizing the data in Table 1 gives the optimized three-phase node voltage amplitudes and photovoltaic grid-connected powers as shown in Table 2. It can be seen from Table 2 that through optimization, the voltage over-limit can be effectively smoothed, the three-phase balance can be maintained, and the photovoltaic grid-connected power can be increased. It shows that the low-voltage distribution network in this example has a stronger photovoltaic load-carrying capacity.

[0132] Table 1 Line data before applying the method for determining the maximum photovoltaic load-carrying capacity of the line

[0133]

[0134] Table 2 Line Data before Determination Method of Maximum Photovoltaic Carrying Capacity of Application Line

[0135]

[0136] Among them, p.u. represents per-unit value, specifically the per-unit voltage value in the table.

[0137] In this embodiment, the dynamic line rating is calculated based on data such as temperature and wind speed. Subsequently, with the dynamic line rating, voltage, etc. as constraints and the maximum carrying capacity as the objective function, an optimization model is constructed and optimized to obtain the maximum photovoltaic carrying capacity under the constraints. Finally, if voltage over-limit or line over-current occurs in a certain phase, the photovoltaic rephasing strategy is activated, and the photovoltaic output and the action of the on-load tap-changer are adjusted again, thereby effectively improving the photovoltaic carrying capacity of the low-voltage distribution network and promoting photovoltaic consumption.

[0138] It should be understood that although the steps in the flowcharts involved in the above-described embodiments are shown in sequence according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise clearly stated in this article, the execution of these steps has no strict order limitation, and these steps can be executed in other orders. Moreover, at least some of the steps in the flowcharts involved in the above-described embodiments may include multiple steps or multiple stages. These steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily sequential, but can be executed alternately or alternately with at least a part of other steps or steps or stages in other steps.

[0139] Based on the same inventive concept, an embodiment of the present application also provides a device for determining the maximum photovoltaic carrying capacity of a line for implementing the method for determining the maximum photovoltaic carrying capacity of the line involved above. The solution provided by this device to solve the problem is similar to the solution described in the above method. Therefore, the specific limitations in one or more embodiments of the device for determining the maximum photovoltaic carrying capacity of the line provided below can refer to the limitations on the method for determining the maximum photovoltaic carrying capacity of the line in the above text, and will not be repeated here.

[0140] In an exemplary embodiment, as Figure 5 shown, a device for determining the maximum photovoltaic carrying capacity of a line is provided, including: an initial information acquisition module 501, a dynamic rating determination module 502, and a photovoltaic carrying capacity determination module 503, where:

[0141] The initial information acquisition module 501 is configured to acquire the line temperature and environmental information of the target phase in the target line; the target phase is any one phase in the target line;

[0142] A dynamic rating determination module 502, configured to determine a dynamic line rated current value of a target phase according to line temperature and environmental information;

[0143] A photovoltaic load-bearing determination module 503, configured to determine the maximum photovoltaic load-bearing capacity of a target phase according to the dynamic line rated current value.

[0144] In one embodiment, the above-mentioned dynamic rating determination module 502 is further configured to determine the radiative heat loss information, convective heat loss information, and solar heat gain information of the target phase according to the line temperature and environmental information; and determine the dynamic line rated current value of the target phase according to the radiative heat loss information, convective heat loss information, solar heat gain information, and line temperature.

[0145] In one embodiment, the environmental information at least includes environmental temperature, wind direction information, wind speed information, and solar radiation intensity; the above-mentioned dynamic rating determination module 502 is further configured to determine the radiative heat loss information of the target phase according to the environmental temperature and line temperature; determine the convective heat loss information of the target phase according to the environmental temperature, line temperature, wind direction information, and wind speed information; and determine the solar heat gain information of the target phase according to the solar radiation intensity.

[0146] In one embodiment, the above-mentioned photovoltaic load-bearing determination module 503 is further configured to determine the dynamic line rated current value as the upper limit of the current constraint of the target phase to obtain the current constraint information of the target phase; and determine the maximum photovoltaic load-bearing capacity of the target phase based on the constraint information of the target phase; the constraint information of the target phase includes current constraint information, preset voltage constraint information, and preset power factor constraint information.

[0147] In one embodiment, the above-mentioned photovoltaic load-bearing determination module 503 is further configured to continuously increase the photovoltaic load-bearing capacity of the target phase and adjust the voltage of the target phase by using a reactive voltage droop control method to obtain the real-time voltage and real-time current of the target phase; when the real-time voltage or real-time current of the target phase exceeds the constraint information of the target phase, or when the photovoltaic load-bearing capacity of the target phase increases to the maximum value of the inputtable photovoltaic power, determine the current photovoltaic load-bearing capacity of the target phase as the maximum photovoltaic load-bearing capacity of the target phase.

[0148] In one embodiment, the device for determining the maximum photovoltaic carrying capacity of the above-mentioned line is further configured to determine whether there are other phases that do not meet the preset conditions when the target phase meets the preset conditions, so as to obtain a determination result; the preset condition is that the voltage and / or current of the target phase exceed their respective preset thresholds, and the preset threshold corresponding to the current of the target phase is determined based on the dynamic line rated current value; when the determination result is that there are other phases that do not meet the preset conditions, transfer a preset number of photovoltaics connected to the target phase to other phases that do not meet the preset conditions, and re-determine the maximum photovoltaic carrying capacity of the target phase; when the determination result is that there are no other phases that do not meet the preset conditions, adjust the photovoltaic reactive power input to the target phase, and / or use a on-load tap-changer transformer to adjust the voltage and / or current of the target phase, and re-determine the maximum photovoltaic carrying capacity of the target phase.

[0149] Each module in the device for determining the maximum photovoltaic carrying capacity of the above-mentioned line can be implemented in whole or in part by software, hardware, and their combination. The above-mentioned modules can be embedded in the processor of the computer device in the form of hardware or independent of it, or stored in the memory of the computer device in the form of software, so as to facilitate the processor to call and execute the operations corresponding to the above-mentioned modules.

[0150] In an exemplary embodiment, a computer device is provided. The computer device can be a terminal, and its internal structure diagram can be as Figure 6As shown in the figure. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit, and an input device. Among them, the processor, the memory, and the input / output interface are connected through a system bus, and the communication interface, the display unit, and the input device are connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and external devices. The communication interface of the computer device is used to communicate with external terminals in a wired or wireless manner, and the wireless manner can be implemented through WIFI, a mobile cellular network, near field communication (NFC), or other technologies. When the computer program is executed by the processor, it implements a method for determining the maximum photovoltaic carrying capacity of a line. The display unit of the computer device is used to form a visually visible picture, which can be a display screen, a projection device, or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen. The input device of the computer device can be a touch layer covering the display screen, or a button, a trackball, or a touchpad provided on the outer shell of the computer device, or an external keyboard, touchpad, or mouse, etc.

[0151] Those skilled in the art can understand that Figure 6 the structure shown in the figure is only a block diagram of some structures related to the solution of this application, and does not constitute a limitation on the computer device to which the solution of this application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine some components, or have different component arrangements.

[0152] In one embodiment, a computer device is further provided, including a memory and a processor. A computer program is stored in the memory, and when the processor executes the computer program, the steps in the above method embodiments are implemented.

[0153] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by the processor, the steps in the above method embodiments are implemented.

[0154] In one embodiment, a computer program product is provided, including a computer program. When the computer program is executed by the processor, the steps in the above method embodiments are implemented.

[0155] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use, and processing of relevant data need to comply with relevant regulations.

[0156] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, database, or other medium used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The databases involved in the embodiments provided in this application can include at least one of relational databases and non-relational databases. Non-relational databases can include distributed databases based on blockchain, etc., and are not limited thereto. The processors involved in the embodiments provided in this application can be general-purpose processors, central processors, graphics processors, digital signal processors, programmable logic devices, data processing logics based on quantum computing, artificial intelligence (AI) processors, etc., and are not limited thereto.

[0157] The technical features of the above embodiments can be combined arbitrarily. For the sake of concise description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope recorded in this application.

[0158] The above-described embodiments merely represent several implementation manners of this application. The description is relatively specific and detailed, but it should not be construed as a limitation on the patent scope of this application. It should be noted that for those of ordinary skill in the art, without departing from the concept of this application, several modifications and improvements can still be made, and these all belong to the protection scope of this application. Therefore, the protection scope of this application should be subject to the appended claims.

Claims

1. A method for determining the maximum photovoltaic carrying capacity of a line, characterized in that: The method comprises: Acquire the line temperature and environmental information of a target phase in a target line; the target phase is any phase in the target line; Determining a dynamic line rated current value of the target phase according to the line temperature and the environmental information; The maximum photovoltaic carrying capacity of the target phase is determined according to the dynamic line rated current value.

2. The method according to claim 1, characterized in that The step of determining the dynamic line rated current value of the target phase according to the line temperature and the environmental information includes: Determining radiation heat loss information, convection heat loss information, and solar heat gain information of the target phase respectively according to the line temperature and the environmental information; A dynamic line rated current value of the target phase is determined according to the radiation heat loss information, the convection heat loss information, the solar heat gain information and the line temperature.

3. The method according to claim 2, characterized in that The environmental information includes at least environmental temperature, wind direction information, wind speed information and solar radiation intensity; The step of determining the radiation heat loss information, the convection heat loss information and the solar heat gain information of the target phase respectively according to the line temperature and the environmental information comprises: Determining radiation heat loss information of the target phase according to the ambient temperature and the line temperature; Determining the convective heat loss information of the target phase according to the ambient temperature, the line temperature, the wind direction information and the wind speed information; The solar heat gain information of the target phase is determined according to the solar radiation intensity.

4. The method according to claim 1, characterized in that The determining the maximum photovoltaic carrying capacity of the target phase according to the dynamic line rated current value includes: Determining the dynamic line rated current value as the current constraint upper limit value of the target phase to obtain current constraint information of the target phase; Based on the constraint information of the target phase, the maximum photovoltaic carrying capacity of the target phase is determined; the constraint information of the target phase includes the current constraint information, the preset voltage constraint information and the preset power factor constraint information.

5. The method according to claim 4, characterized in that The determining the maximum photovoltaic carrying capacity of the target phase based on the constraint information of the target phase includes: Continuously increase the photovoltaic carrying capacity of the target phase, and use a reactive voltage droop control method to adjust the voltage of the target phase to obtain the real-time voltage and real-time current of the target phase; When the real-time voltage or real-time current of the target phase exceeds the constraint information of the target phase, or the photovoltaic carrying capacity of the target phase increases to the maximum photovoltaic carrying capacity that can be input, the current photovoltaic carrying capacity of the target phase is determined as the maximum photovoltaic carrying capacity of the target phase.

6. The method according to any one of claims 1 to 5, characterized in that: After determining the maximum photovoltaic carrying capacity of the target phase, the method further includes: In the case where the target phase meets the preset condition, determining whether there are other phases that do not meet the preset condition, and obtaining a determination result; the preset condition is that the voltage and / or current of the target phase exceeds the respective corresponding preset thresholds, and the preset threshold corresponding to the current of the target phase is determined based on the rated current value of the dynamic line; If the determination result is that there are other phases that do not meet the preset condition, a preset number of photovoltaics connected to the target phase are transferred to the other phases that do not meet the preset condition, and the maximum photovoltaic carrying capacity of the target phase is re-determined; When the determination result is that there are no other phases that do not meet the preset conditions, adjust the photovoltaic reactive power input to the target phase, and / or use an on-load tap-changing transformer to adjust the voltage and / or current of the target phase, and redetermine the maximum photovoltaic carrying capacity of the target phase.

7. A device for determining the maximum photovoltaic carrying capacity of a line, characterized in that: The device comprises: An initial information acquisition module, used to acquire the line temperature and environmental information of a target phase in a target line; the target phase is any phase in the target line; A dynamic rated determination module, used to determine the dynamic line rated current value of the target phase according to the line temperature and the environmental information; The photovoltaic load determination module is used to determine the maximum photovoltaic load capacity of the target phase according to the dynamic line rated current value.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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