An intelligent air cooling strategy generation method and system for a phase-separated closed bus

Abstract

The application relates to the technical field of electrical equipment thermal management, in particular to an intelligent air cooling strategy generation method and system for a phase-separated enclosed bus. The method comprises the following steps: acquiring a phase-separated enclosed bus operation characteristic set, analyzing dynamic thermal response characteristics of the bus under the action of an electric-thermal-multiple-physical-field coupling in the process of operation of a wind power plant based on the phase-separated enclosed bus operation characteristic set, and obtaining a temperature rise sensitive parameter set; analyzing the dynamic evolution behavior of the internal and surface temperature distribution of the phase-separated enclosed bus after the phase-separated enclosed bus experiences an instantaneous asymmetric current impact, a wind direction change and a solar radiation effect under the working condition of the wind power plant based on the temperature rise sensitive parameter set, and obtaining a bus thermal management state information set; generating and executing an intelligent air cooling strategy of the phase-separated enclosed bus according to the bus thermal management state information set, dynamically regulating and controlling air cooling equipment coupled with the bus, and outputting an intelligent air cooling regulation log of the phase-separated enclosed bus. The safe and stable operation of the phase-separated enclosed bus and the wind power plant is guaranteed.

Description

Technical Field

[0001] This application relates to the field of thermal management technology for electrical equipment, and in particular to a method and system for generating intelligent air-cooling strategies for isolated phase closed busbars. Background Technology

[0002] Separated phase enclosed busbars are key equipment for the collection and transmission of electrical energy in wind turbine generators. The stable temperature rise of its conductor joints and other parts is an important factor affecting long-term reliable operation. At present, the air-cooled management of busbars mostly adopts a simple control strategy based on temperature feedback. For example, when the temperature at the monitoring point exceeds the threshold, the wind turbine is started to cool down.

[0003] However, in the actual operating environment of isolated closed-circuit buses in wind power plants, existing wind-cooled control strategies are ill-suited to the special operating conditions: First, they cannot respond to the instantaneous asymmetrical current surges caused by gusts, resulting in a significant lag in temperature feedback; second, they do not consider the direct impact of wind direction on the heat dissipation efficiency of isolated closed-circuit buses and the gradient heat load on the bus surface caused by solar radiation; third, they neglect the thermal inertia of isolated closed-circuit buses, leading to a passive response from the control system. This exposes the shortcomings of existing methods in the management of slow response, high energy consumption, and local overheating under the coupling effect of multiple physical fields of "electricity-air-heat," endangering the safety and lifespan of the bus. Summary of the Invention

[0004] This application provides a method and system for generating intelligent air-cooling strategies for isolated phase closed buses to solve the above-mentioned problems.

[0005] In a first aspect, this application provides a method for generating an intelligent air-cooling strategy for an isolated closed bus. The method includes: acquiring an operating feature set of the isolated closed bus; based on the operating feature set, analyzing the dynamic thermal response characteristics of the bus under the coupling of electro-gas-thermal multi-physics fields during wind power plant operation to obtain a set of temperature rise sensitive parameters; based on the temperature rise sensitive parameter set, analyzing the dynamic evolution behavior of the internal and surface temperature distribution of the isolated closed bus after experiencing instantaneous asymmetrical current impact, wind direction change, and solar radiation under wind power plant conditions to obtain a set of bus thermal management status information; generating and executing an intelligent air-cooling strategy for the isolated closed bus according to the bus thermal management status information set, dynamically controlling the air-cooling equipment coupled to the bus, and outputting an intelligent air-cooling control log for the isolated closed bus.

[0006] Through the above technical solutions, the temperature rise sensitive factors and dynamic thermal evolution behavior are accurately identified, realizing a fundamental shift in cooling strategies from fixed experience to data-driven approaches. This effectively suppresses the risk of local overheating of the busbar, significantly improving its operational reliability and lifespan. At the same time, by precisely controlling the cooling equipment on demand, ineffective or excessive cooling is avoided, reducing overall energy consumption and achieving a balance between safety and economy. This provides an efficient and reliable solution for the intelligent operation and maintenance of wind farm phase-separated enclosed busbars.

[0007] Optionally, based on the operating characteristic set of the isolated closed bus, the dynamic thermal response characteristics of the bus under the coupling effect of electro-gas-thermal multi-physics fields during the operation of the wind power plant are analyzed to obtain a set of temperature rise sensitive parameters, including: the operating characteristic set of the isolated closed bus includes bus current data, environmental meteorological data, and bus surface temperature data; based on the bus current data and combined with the environmental meteorological data, the additional heat generation power and distribution characteristics caused by the instantaneous asymmetrical impact of the three-phase current of the bus caused by gust fluctuations are analyzed to obtain current impact parameters; based on the bus surface temperature data and combined with the environmental meteorological data, the gradient heat load formed by solar radiation on the surface of the bus shell and its impact on the natural heat dissipation capacity of the bus are analyzed to obtain external thermal environment effect parameters; based on the environmental meteorological data and combined with the bus surface temperature data, the difference in the impact of environmental wind from different flow directions on the heat dissipation efficiency of the wind box configured on the bus is analyzed to obtain air cooling heat dissipation parameters; the current impact parameters, the external thermal environment effect parameters, and the air cooling heat dissipation parameters are integrated to construct the set of temperature rise sensitive parameters.

[0008] Optionally, the process of constructing the current impact parameters includes: based on the bus current data, analyzing the real-time difference fluctuations of the instantaneous values ​​of the three-phase currents, identifying the instantaneous asymmetrical current impact characteristics caused by gust fluctuations, and obtaining current impact information; based on the current impact information, analyzing the spatial distribution of additional heating power caused by the instantaneous asymmetrical current impact characteristics on different sections of the bus conductor joints and the outer shell, and obtaining impact heating distribution characteristics; based on the impact heating distribution characteristics, analyzing the superimposed temperature rise risk caused by the spatial distribution of additional heating power to the historically weak temperature rise areas of the bus, and obtaining impact temperature rise risk information; and integrating the current impact information, the impact heating distribution characteristics, and the impact temperature rise risk information to construct the current impact parameters.

[0009] Optionally, the process of constructing the external thermal environment parameters includes: based on the environmental meteorological data, analyzing the differences in direct solar radiation intensity on the surface of the busbar shell at different times and locations to obtain the radiation heat load distribution characteristics of the busbar shell surface; based on the busbar surface temperature data and combined with the radiation heat load distribution characteristics, analyzing the real-time temperature difference between the directly irradiated side and the shaded side of the busbar shell surface due to the different radiation intensities received to obtain the radial temperature gradient information of the busbar shell surface; based on the radial temperature gradient information, analyzing the obstruction effect on the natural heat dissipation path from the busbar interior to the environment caused by the uneven temperature distribution on the shell surface to obtain the suppression effect information of solar radiation on the natural heat dissipation capacity of the busbar; and integrating the radiation heat load distribution characteristics, the radial temperature gradient information, and the suppression effect information to construct the external thermal environment parameters.

[0010] Optionally, the process of constructing the air-cooling heat dissipation parameters includes: based on the environmental meteorological data, analyzing the spatial correspondence between the direction of the incoming environmental wind and the air inlet and duct of the wind box configured for the busbar, to obtain the wind direction-wind box spatial interaction characteristics; based on the busbar surface temperature data, combined with the wind direction-wind box spatial interaction characteristics, analyzing the changes in the air intake efficiency of the wind box, the internal duct flow field distribution, and the intensity of the effective air-cooled airflow finally blowing onto the surface of the busbar shell under different environmental wind directions, to obtain ventilation and heat dissipation performance characteristics; based on the ventilation and heat dissipation performance characteristics, analyzing the effectiveness of the environmental wind direction in intervening in the overall thermal state of the busbar by changing the working efficiency of the wind box, to obtain the feasibility information of wind direction-wind box active control; integrating the wind direction-wind box spatial interaction characteristics, the ventilation and heat dissipation performance characteristics, and the feasibility information of wind direction-wind box active control to construct the air-cooling heat dissipation parameters.

[0011] Optionally, based on the set of temperature rise sensitive parameters, the analysis of the dynamic evolution of the internal and surface temperature distribution of the isolated closed busbar after experiencing instantaneous asymmetric current impact, wind direction change, and solar radiation under wind power plant conditions, to obtain a busbar thermal management status information set, includes: based on the set of temperature rise sensitive parameters, analyzing the interaction logic between the current impact parameters, the external thermal environment parameters, and the air cooling parameters; based on the interaction logic, analyzing the net heat effect of the local heat generated by the instantaneous asymmetric current impact, the shell temperature gradient caused by solar radiation, and the air cooling efficiency determined by the direction of ambient wind flow, superimposed on the busbar space; based on the net heat effect, analyzing the temperature dynamics of different historically weak temperature rise areas on the busbar under the net heat effect, identifying the key temperature rise risk points that currently require the most active intervention, and judging the stability trend of the overall thermal state of the busbar, to obtain the busbar thermal management status information set.

[0012] Optionally, the construction process of the interaction logic includes: based on the impact heat distribution characteristics and combined with the impact temperature rise risk information, analyzing the spatial path and rate of the additional heat generated inside the busbar by the instantaneous asymmetrical current impact to the busbar shell, and obtaining the dynamic conduction characteristics of the impact heat; based on the radial temperature gradient information and the irradiation heat load distribution characteristics, combined with the dynamic conduction characteristics of the impact heat, analyzing the impact heat transferred from inside the busbar to the shell, and the differentiated natural heat dissipation conditions faced by different areas of the shell surface due to the temperature gradient, and obtaining the coupled heat dissipation effect; based on the ventilation heat dissipation efficiency characteristics and the wind direction-windbox spatial interaction characteristics, combined with the coupled heat dissipation effect, analyzing the effective airflow corresponding to different environmental wind direction, and the difference in real-time forced convection cooling capacity of different areas of the busbar shell bearing the coupled heat dissipation effect, and obtaining the interaction logic.

[0013] Optionally, the process of constructing the coupled heat dissipation effect includes: based on the dynamic conduction characteristics of the impact heat, analyzing the time sequence and intensity distribution of the additional heat generated by the instantaneous asymmetrical current impact transferred to each region of the busbar shell to obtain the spatial distribution characteristics of the impact heat; based on the spatial distribution characteristics of the impact heat, combined with the radial temperature gradient information, analyzing the cumulative trend of the additional heat in each region of the busbar shell, and the dynamic matching and imbalance characteristics between the corresponding region and the natural heat dissipation capacity determined by its own temperature gradient, to obtain thermal-gradient coupling information; based on the thermal-gradient coupling information, combined with the distribution characteristics of the irradiated heat load, analyzing the real-time modulation effect of the additional heat load formed by solar irradiation on the surface of the busbar shell on the relationship between the natural heat dissipation capacity and the heat accumulation trend in the thermal-gradient coupling information, to obtain the coupled heat dissipation effect.

[0014] Optionally, the step of generating and executing an intelligent air-cooling strategy for the isolated-phase enclosed bus based on the bus thermal management status information set, dynamically controlling the air-cooling equipment coupled to the bus, and outputting an intelligent air-cooling control log for the isolated-phase enclosed bus includes: analyzing the intensity, spatial orientation, and dynamic timing of air-cooling heat dissipation required to offset the net heat effect and suppress the key temperature rise risk points based on the bus thermal management status information set and the interaction logic, to obtain the core requirements for air-cooling control that dynamically match the real-time thermal state of the bus; based on the core requirements for air-cooling control, combined with the feasibility information of the wind direction-windbox active control, analyzing and transforming the core requirements for air-cooling control into an executable instruction sequence for fine-tuning the wind speed, start / stop, and wind direction coordination of specific windboxes, to obtain the intelligent air-cooling strategy for the isolated-phase enclosed bus; executing the intelligent air-cooling strategy for the isolated-phase enclosed bus, dynamically controlling the corresponding air-cooling equipment, and recording the response data of the strategy execution parameters and the thermal state of the bus, to generate the intelligent air-cooling control log for the isolated-phase enclosed bus.

[0015] Secondly, this application provides an intelligent air-cooling strategy generation system for isolated-phase enclosed buses. The system includes: a temperature rise sensing module, used to acquire the operating feature set of the isolated-phase enclosed bus, and based on the operating feature set, analyze the dynamic thermal response characteristics of the bus under the coupling of electro-gas-thermal multi-physics fields during wind power plant operation to obtain a temperature rise sensitive parameter set; a state management module, used to analyze the dynamic evolution behavior of the internal and surface temperature distribution of the isolated-phase enclosed bus after experiencing instantaneous asymmetric current impact, wind direction change, and solar radiation under wind power plant conditions, based on the temperature rise sensitive parameter set, to obtain a bus thermal management state information set; and an air-cooling control module, used to generate and execute an intelligent air-cooling strategy for the isolated-phase enclosed bus according to the bus thermal management state information set, dynamically control the air-cooling equipment coupled to the bus, and output an intelligent air-cooling control log for the isolated-phase enclosed bus. Attached Figure Description

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

[0017] Figure 1 This is a schematic diagram illustrating an application scenario provided in one embodiment of this application;

[0018] Figure 2 A flowchart illustrating a method for generating an intelligent air-cooling strategy for a phase-separated enclosed bus, as provided in an embodiment of this application;

[0019] Figure 3 This is a schematic diagram of an intelligent air-cooling strategy generation system for isolated phase closed busbars, provided as an embodiment of this application. Detailed Implementation

[0020] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0021] Furthermore, the term "and / or" in this article 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, or B existing alone. Additionally, the character " / " in this article, unless otherwise specified, generally indicates that the preceding and following related objects have an "or" relationship.

[0022] The embodiments of this application will now be described in further detail with reference to the accompanying drawings.

[0023] In wind power plant operations, the isolated phase busbar is a key device for the collection and transmission of electrical energy in wind turbine units. The temperature rise of the conductor joints is related to long-term reliable operation. Existing air-cooled control is mostly based on temperature feedback threshold start-stop, which is difficult to adapt to actual operating conditions: it cannot cope with the instantaneous asymmetrical current impact of gusts, ignores the heat dissipation effect of wind direction and solar radiation heat load, and does not consider the thermal inertia of the busbar, resulting in slow response, high energy consumption, and local overheating problems, which endanger the safety and life of the busbar.

[0024] Based on this, this application provides a method and system for generating intelligent air-cooling strategies for isolated phase closed buses. It accurately captures temperature rise sensitive factors, analyzes the dynamic thermal evolution law of the bus, and promotes the transformation of cooling strategies from an experience-based fixed mode to a data-driven mode. This effectively avoids the hidden danger of local overheating and significantly improves the reliability and service life of equipment. At the same time, it adjusts the cooling system on demand, eliminates ineffective and excessive cooling, reduces overall energy consumption, and ultimately achieves the dual goals of safety and economy.

[0025] Figure 1 This application provides an application scenario diagram. In the operation of the isolated closed busbar of a wind power plant, the method provided in this application is applied to drive the cooling regulation based on temperature rise sensitive factors and thermal evolution data, so as to achieve a win-win situation for the operation and maintenance safety and economy of the wind farm busbar.

[0026] Specifically, the method provided in this application can be applied to any server. The server interacts with the bus status monitoring sensor to obtain the operating feature set of the isolated closed bus provided by the bus status monitoring sensor, accurately identify temperature rise sensitive factors and dynamic thermal evolution behavior, and output the intelligent air-cooled control log of the isolated closed bus to the safety operation and maintenance personnel of the wind power plant, thus providing an efficient and reliable solution for the intelligent operation and maintenance of the isolated closed bus of the wind farm.

[0027] For specific implementation details, please refer to the following examples.

[0028] Figure 2 This is a flowchart illustrating a method for generating an intelligent air-cooling strategy for a phase-separated enclosed bus, as provided in one embodiment of this application. The method of this embodiment can be applied to servers in the above-described scenario. Figure 2 As shown, the method includes:

[0029] S201. Obtain the operating characteristic set of the isolated phase closed bus. Based on the operating characteristic set of the isolated phase closed bus, analyze the dynamic thermal response characteristics of the bus under the coupling effect of electric-gas-thermal multi-physics fields during the operation of the wind power plant, and obtain the temperature rise sensitive parameter set.

[0030] The operating characteristic set of the isolated-phase enclosed bus can be a data set reflecting the key physical quantities of the isolated-phase enclosed bus under the actual operating conditions of the wind power plant, with the bus condition monitoring sensors as the data source. The dynamic thermal response characteristics can be the comprehensive temperature change law and response speed of the isolated-phase enclosed bus under the coupling effect of multiple physical fields (electric-gas-thermal). The temperature rise sensitive parameter set can be a subset of key parameters that have a significant impact on the overall or local temperature rise of the bus.

[0031] Specifically, in the actual operation of wind power plants, the isolated phase busbar is a key device for power transmission. Existing cooling strategies are mostly based on steady-state design, which is difficult to adapt to the complex operating environment of wind farms. The busbar is subjected to fluctuating current and instantaneous asymmetrical impacts for a long time. Changes in wind direction and solar radiation further change its heat dissipation conditions, resulting in close coupling of multiple physical fields such as electricity, air, and heat, which triggers nonlinear thermal response. If the cooling strategy cannot accurately match this dynamic characteristic, it is easy to cause local overheating, accelerate insulation aging, or even cause failure.

[0032] S202. Based on the set of temperature rise sensitive parameters, analyze the dynamic evolution of the internal and surface temperature distribution of the isolated phase closed bus after experiencing instantaneous asymmetrical current impact, wind direction change and solar radiation under the operating conditions of wind power plants, and obtain the bus thermal management status information set.

[0033] Dynamic evolution behavior can be defined as the detailed process and pattern of temperature changes over time and space at different parts of a separated phase closed busbar after experiencing typical wind power plant operating conditions. The busbar thermal management status information set can be a comprehensive description of the current and near-term predicted thermal status of the busbar.

[0034] Specifically, the isolated phase busbar is a key device for collecting electrical energy in wind farms. Its temperature distribution is affected by multiple dynamic factors: sudden changes in operating conditions (such as current surges) cause rapid changes in internal heat; changes in wind speed and direction can disrupt the original heat dissipation balance and expose cooling dead zones; solar radiation and cloud cover constitute fluctuating external thermal boundaries. These factors work together to make the busbar temperature field exhibit complex spatiotemporal evolution and hot spot migration. The limited number of existing temperature measurement points makes it difficult to capture the dynamic details of the entire field, resulting in insufficient precision in cooling control.

[0035] S203. Based on the bus thermal management status information set, generate and execute the intelligent air-cooling strategy for the isolated phase closed bus, dynamically regulate the air-cooling equipment coupled to the bus, and output the intelligent air-cooling regulation log for the isolated phase closed bus.

[0036] Intelligent air-cooling strategies can be a comprehensive set of control commands dynamically generated based on real-time analysis of thermal management status information, aimed at optimizing cooling performance and energy consumption. Dynamic regulation allows for adaptive, differentiated, and time-coordinated fine-grained control of cooling. The intelligent air-cooling control log for the isolated closed bus can be a structured file recording the strategy.

[0037] Specifically, in the actual operation of wind power plants, the current wind cooling control of isolated closed busbars in wind power plants often adopts a crude global start-stop or simple threshold control, which can easily lead to uneven cooling, high energy consumption and local overheating risks. By collecting thermal state information and generating control strategies based on intelligent algorithms such as fuzzy logic and model prediction, it is possible to achieve precise allocation of cooling resources on demand. For example, local wind turbines can be started and stopped based on axial temperature difference, and the top air volume can be pre-adjusted to cope with solar radiation heating. The strategy is executed by the field controller, and key data is recorded by the log service to form a complete control traceability.

[0038] The method provided in this embodiment accurately identifies temperature rise-sensitive factors and dynamic thermal evolution behavior, realizing a fundamental shift in cooling strategies from experience-based fixed approaches to data-driven approaches. This effectively suppresses the risk of local overheating of the busbar, significantly improving its operational reliability and lifespan. At the same time, by precisely controlling the cooling equipment on demand, ineffective or excessive cooling is avoided, reducing overall energy consumption and achieving a balance between safety and economy. This provides an efficient and reliable solution for the intelligent operation and maintenance of wind farm phase-separated enclosed busbars.

[0039] In some embodiments, the operating characteristic set of the isolated closed busbar includes busbar current data, environmental meteorological data, and busbar surface temperature data. Based on the busbar current data and combined with the environmental meteorological data, the additional heat generation power and distribution characteristics caused by the instantaneous asymmetrical impact of the three-phase current of the busbar due to gust fluctuations are analyzed to obtain current impact parameters. Based on the busbar surface temperature data and combined with the environmental meteorological data, the gradient heat load formed by solar radiation on the surface of the busbar casing and its impact on the natural heat dissipation capacity of the busbar are analyzed to obtain external thermal environment effect parameters. Based on the environmental meteorological data and combined with the busbar surface temperature data, the difference in the impact of environmental winds from different flow directions on the heat dissipation efficiency of the windboxes configured on the busbar is analyzed to obtain air-cooled heat dissipation parameters. The current impact parameters, external thermal environment effect parameters, and air-cooled heat dissipation parameters are integrated to construct a temperature rise sensitive parameter set.

[0040] Busbar current data can be relevant data characterizing current changes during busbar conduction. Environmental meteorological data can be a set of parameters reflecting the external environmental meteorological conditions of the busbar. Busbar surface temperature data can be real-time temperature values ​​of different areas of the busbar casing. Current surge parameters can be a set of parameters quantifying the impact of instantaneous asymmetrical surges in the three-phase current of the busbar caused by gust fluctuations on busbar heating. External thermal environment parameters can be a set of parameters describing the impact of solar radiation on busbar heat dissipation. Air-cooled heat dissipation parameters can be a set of parameters characterizing the impact of ambient wind on the heat dissipation efficiency of the busbar windbox.

[0041] Specifically, in wind power plant operations, isolated phase busbars are susceptible to current surges caused by gusts, heat loads from solar radiation, and differences in heat dissipation due to ambient wind. Without constructing a set of temperature rise-sensitive parameters, the coupling effect of these factors on busbar temperature rise cannot be accurately captured, leading to distortion in subsequent thermal state analysis. This results in poor adaptability of wind-cooling strategies, causing energy waste or, in severe cases, busbar overheating and damage, threatening the power supply safety of the wind power plant. To address these issues: For current surge parameters, a three-phase current instantaneous value difference algorithm and pattern recognition technology are used to capture the instantaneous asymmetric features caused by gusts (such as brief spikes in phase A current) from real-time current waveforms. Based on a distributed heating model using Joule's law, this surge is mapped as a spatial additional heating power distribution in key areas such as busbar conductor joints. For external thermal environment parameters, a three-dimensional digital twin model of the busbar system is established, combined with real-time solar azimuth data and a ray tracing algorithm to accurately simulate the dynamic irradiation heat load on each surface of the outer shell (e.g., calculating the heat load on the south-facing side). (The heat flux density at noon is significantly higher than on the north side). Infrared thermography data is integrated, and the resulting radial temperature gradient's effect on the thermal resistance of the natural heat dissipation path is quantified using heat conduction theory. In constructing the air-cooled heat dissipation parameters, spatial vector analysis is applied to calculate the spatial angle between the ambient airflow direction and the axis of each windbox inlet. This geometric relationship is then input into a pre-built heat dissipation efficiency mapping model based on computational fluid dynamics principles to evaluate the internal flow field organization of the windbox and the intensity attenuation of the effective cooling airflow blowing onto the busbar shell under different wind conditions (e.g., a specific deflection angle may cause the effective wind speed to drop to a certain proportion of the rated value). Finally, the quantified results of these core parameters characterizing the multi-physics coupling effect obtained through specialized model analysis are structurally integrated to form a set of temperature rise-sensitive parameters.

[0042] The method provided in this embodiment accurately quantifies the impact of multiple factors on the busbar temperature rise, providing comprehensive data support for subsequent analysis of the dynamic evolution of busbar temperature, ensuring accurate judgment of subsequent thermal management status, making the generated air-cooling strategy more targeted, effectively avoiding energy waste, preventing the risk of busbar overheating, and ensuring the safe and stable operation of the wind power plant busbar.

[0043] In some embodiments, based on bus current data, the real-time difference fluctuations of the instantaneous values ​​of the three-phase currents are analyzed to identify the instantaneous asymmetrical current impact characteristics caused by gust fluctuations, thereby obtaining current impact information. Based on the current impact information, the spatial distribution of additional heating power caused by the instantaneous asymmetrical current impact characteristics on different sections of the bus conductor joints and the outer casing is analyzed to obtain impact heating distribution characteristics. Based on the impact heating distribution characteristics, the superimposed temperature rise risk caused by the spatial distribution of additional heating power to the historically weak temperature rise areas of the bus is analyzed to obtain impact temperature rise risk information. The current impact information, impact heating distribution characteristics, and impact temperature rise risk information are integrated to construct current impact parameters.

[0044] The characteristics of instantaneous asymmetrical current surge can be the unbalanced fluctuations in the instantaneous values ​​of the three-phase current of the busbar caused by gusts of wind. The spatial distribution of additional heating power can be the regional distribution of the extra heating power caused by the instantaneous asymmetrical current surge at different sections of the busbar conductor joints and casing. The characteristics of the surge heating distribution can be the distribution pattern and intensity differences of the additional heating power at different parts of the busbar. Historically weak temperature rise areas can be specific areas of the busbar that have repeatedly experienced abnormal or high temperature rises during past operation. The risk of superimposed temperature rise can be the possibility that the additional heating power acting on historically weak temperature rise areas will cause the temperature rise in those areas to exceed the safety threshold. The information on the surge temperature rise risk can include the level, scope of impact, and probability of occurrence of the superimposed temperature rise risk.

[0045] Specifically, in the operating conditions of wind power plants, gusts of wind cause instantaneous asymmetrical impacts on the three-phase current of the busbar. The additional heat power is distributed differently in conductor joints and different sections of the outer shell. When superimposed on areas with weak historical temperature rise (such as the joints in the middle section of the busbar), it can easily lead to excessive local temperature rise, accelerate insulation aging, reduce conductivity, and even cause short circuit faults, directly threatening the safety of the busbar and the stable operation of the power plant. Therefore, it is crucial to construct current impact parameters. To address the aforementioned issues, the approach begins with real-time acquisition of raw waveform data of the three-phase current using high-precision current sensors (such as Rogowski coils or Hall effect sensors) deployed in each phase of the busbar. First, signal processing techniques are applied to the current time-series data. For example, a sliding time window (e.g., a window length of 500 milliseconds) is used to calculate the standard deviation of the three-phase current values ​​within each window. Combined with abrupt change detection algorithms (such as the CUSUM algorithm), asymmetrical impact events caused by gusts of wind, where a phase current momentarily deviates from the normal range (e.g., a sudden increase of 100A in phase A current within 0.2 seconds while phases B and C remain essentially unchanged), are identified in real time. This allows for the extraction of the precise time of the impact, the dominant phase, and the impact amplitude, forming current impact information. Next, this electrical impact information is input into a pre-defined thermo-electric coupling analysis model. This model is based on the specific physical structure of the busbar (e.g., conductor size, joint type), material properties (resistivity, specific heat capacity), and heat transfer path. Through analytical calculations or finite element simulations, the model simulates the instantaneous power of the additional Joule heat generated by this specific current impact on the busbar and its conduction and diffusion process along the conductor and shell. This process outputs a three-dimensional spatial distribution map of the impact heat (e.g., the impact causes an instantaneous additional heat power of 1.5kW at a certain joint, while the adjacent section only has 0.2kW), i.e., the impact heat distribution characteristics. Subsequently, the historical operation database is called, which records the historical temperature rise data of various parts of the busbar under long-term monitoring, and the known "historical weak temperature rise areas" are identified (e.g., the conductor joint numbered J-03 has a previous highest operating temperature that is 15°C higher than the average year-round). The currently calculated impact heat distribution map is superimposed and matched with the spatial location of these weak areas, and risk calculation is performed to assess whether the transient impact heat load will have a superposition effect with the original thermal state of the weak areas (e.g., the assessment shows that the instantaneous temperature rise of joint J-03 under this impact is expected to increase by another 12°C, making it close to the critical temperature of the insulation material), generating quantitative impact temperature rise risk information. Finally, the multi-dimensional information (impact event description, spatial heat distribution map, risk quantitative assessment) generated in the above steps is integrated and encapsulated into a structured "current impact parameter" data object for subsequent strategy generation module to call.

[0046] The method provided in this embodiment accurately captures current surge characteristics, heat distribution, and temperature rise risks, providing core support for the set of temperature rise sensitive parameters. This makes subsequent thermal management status analysis more targeted, and the constructed parameters can provide accurate basis for intelligent air cooling strategies, effectively avoid temperature rise hazards caused by surges, extend the service life of the busbar, and ensure the safe, stable, and efficient operation of the phase-separated enclosed busbar under complex working conditions.

[0047] In some embodiments, based on environmental meteorological data, the differences in direct solar radiation intensity on the surface of the busbar shell at different locations during different time periods are analyzed to obtain the radiation heat load distribution characteristics of the busbar shell surface. Based on the busbar surface temperature data and combined with the radiation heat load distribution characteristics, the real-time temperature difference between the directly sunlit side and the shaded side of the busbar shell surface due to the different radiation intensities is analyzed to obtain the radial temperature gradient information of the busbar shell surface. Based on the radial temperature gradient information, the obstruction effect on the natural heat dissipation path from the busbar interior to the environment caused by the uneven temperature distribution on the shell surface is analyzed to obtain the suppression effect information of solar radiation on the natural heat dissipation capacity of the busbar. The radiation heat load distribution characteristics, radial temperature gradient information, and suppression effect information are integrated to construct the external thermal environment action parameters.

[0048] The characteristics of irradiated heat load distribution can characterize the differences in heat load received per unit area on the surface of the busbar casing at different times and locations when sunlight shines on it. Radial temperature gradient information can represent the real-time temperature difference and distribution pattern between the directly sunlit and shaded sides of the busbar casing surface due to differences in received irradiance. Suppression effect information can reflect the degree of obstruction encountered by the uneven temperature distribution on the busbar casing surface when heat is naturally dissipated from the busbar's interior to the environment through the casing, and the related impact patterns.

[0049] Specifically, during the operation of the isolated phase-enclosed busbar in a wind power plant, the direction of the ambient wind flow is highly variable, and the matching degree with the air inlet and duct space of the busbar box often changes. If the differential impact on the heat dissipation efficiency of the box is not analyzed, the air-cooled equipment will be unable to adapt to the actual heat dissipation requirements, the heat of the busbar will be difficult to dissipate in time, causing local overheating, accelerating insulation aging, and even equipment failure, seriously threatening the operational safety of the isolated phase-enclosed busbar and the stability of power transmission in the wind power plant. To address the aforementioned issues: First, astronomical algorithms and spatial geometric analysis techniques are used, combined with the actual geographical coordinates and orientation of the busbar, to process the timestamps in the environmental meteorological data. The solar altitude and azimuth angles are calculated in real time, thereby accurately determining the incident angle and projected area of ​​direct sunlight on the busbar shell at different orientations (e.g., due south and due north) at a specific time (e.g., 14:30). This quantifies the continuously changing characteristics of the irradiance heat load distribution over time and space. For example, it is found that the radiant power received per unit area on the south side of the shell is eight times that on the north side at this time. Next, temperature data deployed at the east, south, west, and north directions of the busbar shell at the corresponding time are retrieved. The surface temperature data of the busbar measured by the temperature sensor is used to directly obtain radial temperature gradient information through difference calculation and spatial interpolation methods. For example, the surface temperature of the south side of the shell is calculated to be 65℃, while that of the north side is only 45℃, showing a significant gradient of 20℃. Finally, based on the above gradient information, the thermal resistance network analysis method in heat transfer is applied to establish a correlation model between the circumferential temperature difference of the shell and the heat dissipation thermal resistance. This assesses the specific hindering effect on natural convection heat dissipation efficiency caused by the decrease in the temperature difference between the sun-facing shell and the ambient air due to the increased temperature of the sun-facing shell, thereby generating information on the suppression effect. For example, it is quantified that the current solar radiation has caused the natural heat dissipation efficiency of the south-facing shell to decrease by about 30%. Finally, by integrating the results of these three progressive analyses, the parameters for the influence of the external thermal environment are constructed.

[0050] The method provided in this embodiment accurately captures the spatial interaction and heat dissipation efficiency differences between ambient wind and the air box in different incoming flow directions, clarifies the feasibility of wind direction control of the air box, provides key data support for subsequent air-cooling strategies, enables air-cooling equipment to adjust its working state in a targeted manner, improves heat dissipation accuracy and efficiency, effectively avoids bus overheating, ensures long-term stable operation of the bus, and reduces equipment maintenance costs and downtime risks.

[0051] In some embodiments, based on environmental meteorological data, the spatial relationship between the direction of the incoming environmental wind and the air inlet and duct of the wind box configured for the busbar is analyzed to obtain the wind direction-wind box spatial interaction characteristics. Based on the busbar surface temperature data, combined with the wind direction-wind box spatial interaction characteristics, the changes in the wind box's air intake efficiency, internal duct flow field distribution, and the intensity of the effective air-cooled airflow finally blowing onto the busbar outer shell surface are analyzed under different environmental wind direction, to obtain ventilation and heat dissipation performance characteristics. Based on the ventilation and heat dissipation performance characteristics, the effectiveness of the environmental wind direction in intervening in the overall thermal state of the busbar by changing the wind box's working efficiency is analyzed to obtain the feasibility information of wind direction-wind box active control. The wind direction-wind box spatial interaction characteristics, ventilation and heat dissipation performance characteristics, and wind direction-wind box active control feasibility information are integrated to construct air-cooling heat dissipation parameters.

[0052] The bellows can be a core component of air-cooled equipment designed for use with isolated phase enclosed busbars. The air inlet can be an opening structure within the bellows used to introduce ambient airflow. The duct can be a channel structure inside the bellows used to guide airflow. The wind direction-bellows spatial characteristics can be the spatial correspondence between the direction of the incoming ambient airflow and the bellows inlet and duct. The intake efficiency can be the effectiveness of the ambient airflow introduced through the bellows inlet, i.e., the ratio of the actual airflow rate entering the bellows to the theoretical maximum airflow rate. The internal duct flow field distribution can be the distribution of velocity, pressure, and flow trajectory of the ambient airflow within the duct after it enters the bellows. The effective cooling airflow intensity can be the velocity of the airflow passing over the busbar casing surface that effectively dissipates heat. The ventilation and heat dissipation performance characteristics can be the comprehensive changes in the bellows' intake efficiency, internal duct flow field distribution, and effective cooling airflow intensity under different ambient airflow directions. The feasibility information for active wind direction-bellows control can be the possibility and effect assessment results of effectively intervening in the overall thermal state of the busbar.

[0053] Specifically, during the operation of the isolated closed busbar in a wind power plant, the frequent gusts and changing wind directions directly affect the air cooling effect due to the compatibility between the direction of the incoming wind and the space of the wind box inlet and duct. If the air cooling parameters are not analyzed, the wind box inlet efficiency will drop sharply and the duct eddies will increase when the wind direction is reversed or oblique. The effective air cooling airflow intensity will be insufficient and it will be unable to remove the heat generated by the current surge and solar radiation from the busbar in time. This will lead to the busbar temperature exceeding the limit, causing faults such as insulation aging and joint overheating, which will seriously affect the stability of power supply. To address the aforementioned issues: Ultrasonic anemometers and wind vanes deployed on meteorological towers in the busbar area are used to acquire real-time environmental meteorological data including wind speed and direction. Simultaneously, platinum resistance temperature sensor arrays pre-embedded at key monitoring points on the busbar shell (such as historical high temperatures, weld seams, and the leeward side) are used to collect high-frequency busbar surface temperature data. First, spatial geometric modeling and vector analysis methods are employed to superimpose real-time wind direction and speed vectors with the wind tunnel inlet normal direction and duct axis direction exported from 3D CAD drawings to analyze the relationship between the ambient wind direction and the wind... The spatial characteristics of the box structure are analyzed. For example, when the real-time wind direction is northwest at 60 degrees, calculations show that the angle between the box and the normal direction of the main air inlet of the No. 1 wind box is as high as 120 degrees, which is a typical grazing angle. Thus, the wind direction-wind box spatial characteristics of "the current wind direction seriously weakens the front air intake efficiency of the wind box" are accurately derived. Then, based on the flow field simulation principle of computational fluid dynamics (CFD), combined with the above spatial characteristics and real-time wind speed, the airflow organization inside and outside the wind box under a specific wind direction is simulated and deduced, thereby quantitatively evaluating its ventilation and heat dissipation performance characteristics. For example, the simulation results show that under the above-mentioned grazing angle, the air volume inside the No. 1 wind box decreases by about 40%, and the outlet airflow distribution is uneven, resulting in a reduction of more than half of the effective cooling air coverage area of ​​the middle section of the busbar that it was originally responsible for cooling. Furthermore, by combining the mechanical characteristics and control logic of existing wind box auxiliary adjustment devices such as adjustable louvers and auxiliary guide fans, the potential and cost of active intervention are evaluated through logical deduction and effect simulation, forming feasibility information for wind direction-wind box active control. For example, the analysis shows that if the side auxiliary air intake fan of the No. 1 wind box is started at this time and its louver angle is adjusted to a specific position, theoretically it can compensate for (for example, about 30%) the air volume loss. Finally, by dynamically integrating the spatial action characteristics calculated in real time, the efficiency characteristics of quantitative evaluation, and the conclusions of the control feasibility assessment, dynamic air cooling heat dissipation parameters that can comprehensively characterize the real capabilities and control potential of the air-cooled subsystem under the current environmental wind conditions are constructed, providing core input for the strategy generation module.

[0054] The method provided in this embodiment can accurately capture the compatibility and heat dissipation efficiency of the wind box with the ambient wind under different wind conditions, providing key data support for subsequent thermal state analysis. This enables the intelligent air-cooling strategy to dynamically adapt to changes in wind direction, improve the heat dissipation targeting by optimizing the working state of the wind box, avoid bus temperature rise exceeding the limit and causing failure, reduce energy waste caused by ineffective air cooling, extend equipment life, and ensure the safe and stable operation of the wind power plant bus under complex wind conditions.

[0055] In some embodiments, based on a set of temperature rise sensitive parameters, the interaction logic between current surge parameters, external thermal environment parameters, and air cooling parameters is analyzed. Based on the interaction logic, the net heat effect of the three factors superimposed on the busbar space—local heat generated by instantaneous asymmetrical current surge, shell temperature gradient caused by solar radiation, and air cooling efficiency determined by the direction of ambient airflow—is analyzed. Based on the net heat effect, the temperature dynamics of different historically weak temperature rise areas on the busbar under the net heat effect are analyzed, the key temperature rise risk points that currently require the most proactive intervention are identified, and the stability trend of the overall thermal state of the busbar is judged, resulting in a set of busbar thermal management status information.

[0056] Internal and surface temperature distribution can refer to the temperature values ​​and distribution patterns in different regions of the bus conductor and the outer casing. Dynamic evolution behavior can be the dynamic change process of the bus's internal and surface temperatures over time, with variations in the external environment and electrical load. Interaction logic can be the inherent correlation and constraint between current surge parameters, external thermal environment parameters, and air-cooling parameters. Localized heat can be the additional heat generated in localized areas of the bus due to instantaneous asymmetrical current surges. Net heat effect can be the comprehensive thermal impact result formed by the superposition of localized heat, the outer casing temperature gradient, and air-cooling efficiency within the bus space. Critical temperature rise risk points can be areas where the current bus temperature approaches or exceeds the safety threshold, requiring urgent cooling intervention. The overall thermal stability trend can be based on the current thermal environment and load conditions, predicting the future temperature change trend of the bus over a period of time.

[0057] Specifically, in wind power plant operations, isolated phase busbars are subject to instantaneous asymmetrical current surges, wind direction changes, and solar radiation. The coupling of these three factors can easily lead to an imbalance in the internal and surface temperature distribution of the busbar. Areas with historically weak temperature rise are prone to overheating. If the dynamic evolution of temperature cannot be accurately grasped, it can cause serious accidents such as equipment burnout and power outages, and also reduce the service life of the busbar. To address these issues, a deep coupling analysis of the established set of temperature rise sensitive parameters is conducted. This is achieved by combining physical mechanism-based numerical simulations (such as finite element analysis) with data-driven models (such as regression models based on historical data). First, an interaction logic model is established: for example, when a phase current experiences an instantaneous spike due to a gust of wind (such as a sudden increase of several hundred amperes), the dynamic heat conduction characteristic model of this impact will simulate the rate and spatial distribution of heat transfer to the corresponding section of the outer shell. At the same time, the radial temperature gradient information indicates that the temperature of the outer shell on the sun-facing side of the busbar is, for example, 15°C higher than that on the shaded side. This gradient will hinder the natural dissipation of the impact heat, forming a coupled heat dissipation effect. The ventilation and heat dissipation efficiency characteristic model is calculated based on real-time wind direction (e.g., due north wind). The current wind direction reduces the air intake efficiency of the No. 1 wind box serving the middle of the busbar by about 30%. Then, through the real-time net heat effect calculation module, all the above factors are spatially vector superimposed. For example, the calculation results show that in the outer shell area corresponding to the B-phase joint in the middle of the busbar, the input rate of additional heat from current impact, the natural heat dissipation attenuation rate caused by temperature gradient, and the reduction in air cooling efficiency work together to make this area a "hot spot" where net heat accumulates rapidly. Finally, the key temperature rise risk point identification algorithm matches and ranks the real-time temperature change rate of this "hot spot" (e.g., rising by 2°C per minute) with the historical temperature rise weak area database. If the point happens to be located at the B-phase joint where high temperatures occur frequently in the past, and its temperature rise rate is much higher than other areas, it is determined to be the current highest level key temperature rise risk point. Its location, risk level, and the overall temperature field instability trend are packaged together into a structured busbar thermal management status information set and output to the downstream strategy generation module.

[0058] The method provided in this embodiment accurately identifies key temperature rise risk points and the overall thermal state trend of the busbar, providing precise data support for the generation of subsequent air-cooling strategies and avoiding blind air-cooling control. It can not only specifically suppress overheating risks and prevent equipment failures and power outages, but also provide a scientific basis for the dynamic control of air-cooling equipment, reduce ineffective energy consumption, extend the service life of the busbar, and ensure the stable and efficient operation of the wind power plant.

[0059] In some embodiments, based on the impact heat distribution characteristics and combined with impact temperature rise risk information, the spatial path and rate of the additional heat generated inside the busbar by the instantaneous asymmetrical current impact are analyzed to transfer to the busbar shell, thus obtaining the dynamic conduction characteristics of impact heat. Based on radial temperature gradient information and irradiation heat load distribution characteristics, combined with the dynamic conduction characteristics of impact heat, the impact heat transferred from inside the busbar to the shell is analyzed, and the different natural heat dissipation conditions faced by different areas of the shell surface due to temperature gradients are obtained, thus obtaining the coupled heat dissipation effect. Based on ventilation heat dissipation efficiency characteristics and wind direction-windbox spatial interaction characteristics, combined with the coupled heat dissipation effect, the effective air cooling airflow corresponding to different environmental wind flow directions is analyzed, and the differences in the real-time cooling capacity of forced convection for different areas of the busbar shell bearing the coupled heat dissipation effect are obtained, thus obtaining the interaction logic.

[0060] Additional heat can be the extra heat generated inside the busbar by a momentary asymmetrical current surge. Spatial path can be the specific route of additional heat transfer from inside the busbar to the outer casing. Rate can be the speed of heat transfer. Dynamic conduction characteristics of the impact heat can be the characteristics of the spatial path and rate changing over time during the transfer of additional heat from inside the busbar to the outer casing. Coupled heat dissipation effect can be the combined heat dissipation effect after the interaction between the accumulation of impact heat in the busbar outer casing and the natural heat dissipation capacity determined by the temperature gradient of the outer casing, plus the additional heat load from solar radiation. Effective airflow can be the airflow that actually acts on the surface of the busbar outer casing after being output from the bellows, exerting a cooling effect. Forced convection can be a heat dissipation method that actively drives airflow through air-cooling equipment to cool the busbar outer casing. Real-time cooling capacity differences can be the differences in cooling effect when forced convection cooling is applied to different areas of the busbar outer casing by effective airflow corresponding to different ambient wind directions.

[0061] Specifically, during the operation of the isolated closed busbar in a wind power plant, if the interaction logic is not constructed and the effects of current surge, solar radiation, and ambient wind are only analyzed in isolation, it will be impossible to accurately grasp the correlation between heat transfer and heat dissipation of the busbar. This will lead to deviations in subsequent net heat effect analysis, causing the air cooling strategy to become disconnected from the actual thermal state, resulting in local overheating of the busbar (such as excessive temperature rise in weak areas), damaging insulation performance, shortening equipment life, and in severe cases triggering short-circuit faults, threatening the safe and stable operation of the wind farm. To address the aforementioned issues: First, using heat conduction modeling techniques, based on the spatial distribution of additional heat generation power (e.g., hotspot concentration areas) revealed by the impact heat generation distribution characteristics, and combined with the historical temperature rise weakness areas indicated by the impact temperature rise risk information, the dominant spatial path and dynamic rate of the additional heat generated by the instantaneous asymmetrical current impact is traced from the internal conductor to the busbar shell, thereby quantifying the dynamic heat conduction characteristics of the impact. Then, applying a thermo-electric-gas coupling analysis method, the dynamic heat conduction characteristics of the impact are superimposed with the radial temperature difference on the shell surface quantified by the radial temperature gradient information (e.g., the temperature difference between the sunlit and shaded sides), and the additional solar radiation heat load described by the irradiation heat load distribution characteristics, to analyze the accumulation of heat in various regions of the busbar shell. The dynamic matching and imbalance between the trend and the natural heat dissipation capacity of the region determined by its own temperature gradient are used to construct a coupled heat dissipation effect that reveals the difference in heat dissipation conditions under the synergistic effect of internal and external heat sources. Finally, based on the principle of computational fluid dynamics analysis, combined with the changes in the intensity of the effective air-cooled airflow of the windbox under different environmental wind flow directions reflected by the ventilation and heat dissipation efficiency characteristics, and the spatial angle relationship between the wind duct and the wind direction determined by the wind direction-windbox spatial interaction characteristics, the real-time cooling capacity difference of the effective air-cooled airflow on different areas of the bus shell that bear the coupled heat dissipation effect is evaluated. Finally, the interaction logic that can accurately describe the coupling effect of multiple physical fields such as electricity (current impact), heat (radiation and conduction), and air (forced convection) is integrated to obtain an interaction logic that can accurately describe the coupling effect of multiple physical fields such as electricity (current impact), heat (radiation and conduction), and air (forced convection).

[0062] The method provided in this embodiment clarifies the comprehensive influence mechanism of multiple factors on the thermal state of the busbar, providing scientific support for net heat effect analysis and identification of key temperature rise risk points. It frees the judgment of the busbar thermal state from dependence on isolated parameters, greatly improves the accuracy of thermal management information, and enables air-cooled control to accurately adapt to dynamic operating conditions. This avoids overheating failures and energy waste, ensures the safe and stable operation of the busbar, extends equipment life, and achieves the dual goals of safety assurance and energy saving.

[0063] In some embodiments, based on the dynamic conduction characteristics of impact heat, the temporal order and intensity distribution of the additional heat generated by the instantaneous asymmetrical current impact transferred to various regions of the busbar shell are analyzed to obtain the spatial distribution characteristics of impact heat. Based on the spatial distribution characteristics of impact heat, combined with radial temperature gradient information, the accumulation trend of additional heat in various regions of the busbar shell is analyzed, along with the dynamic matching and imbalance characteristics between the corresponding regions and their natural heat dissipation capacity determined by their own temperature gradient, to obtain thermal-gradient coupling information. Based on the thermal-gradient coupling information, combined with the distribution characteristics of irradiated heat load, the additional heat load formed by solar irradiation on the surface of the busbar shell is analyzed, and its real-time modulation effect on the relationship between natural heat dissipation capacity and heat accumulation trend in the thermal-gradient coupling information is obtained to obtain the coupled heat dissipation effect.

[0064] The heat accumulation trend can be the changing pattern of additional heat gradually accumulating in various regions of the busbar casing. The thermal-gradient coupling effect information can be the dynamic matching or imbalance between the accumulation trend of additional heat in various regions of the busbar casing and the corresponding region's natural heat dissipation capacity. The additional heat load can be the additional heat load exceeding the environmental baseline heat load generated by solar radiation on the busbar casing surface. The modulation effect can be the adjusting influence of the additional heat load on the relationship between natural heat dissipation capacity and the heat accumulation trend in the thermal-gradient coupling effect.

[0065] Specifically, in the operating conditions of wind power plants, the isolated closed busbars are subjected to instantaneous asymmetrical current impacts, generating additional heat. This heat, combined with the radial temperature gradient formed by solar radiation, easily leads to an imbalance between heat accumulation and natural heat dissipation capacity. If a coupled heat dissipation effect is not constructed, it will be impossible to accurately grasp the true heat dissipation state under the interplay of multiple factors, resulting in distorted subsequent thermal management judgments, missed detection of key temperature rise risk points, and causing local overheating of the busbars, insulation aging, or even equipment failure, endangering the power plant's power supply stability. To address the aforementioned issues: First, based on the dynamic conduction characteristics of impact heat, which characterize the path and rate of heat transfer from the inside to the shell, a delay and attenuation analysis model for heat transfer is introduced to calculate the additional heat generated by the instantaneous asymmetrical current impact, the specific time sequence of its arrival in different areas of the busbar shell (e.g., area A, closer to the conductor, may experience a temperature rise approximately 5 seconds earlier than area B, further away), and its non-uniform spatial intensity distribution (e.g., the impact heat flux density near the joint may reach approximately 3 times that of the smooth section of the shell). This generates the spatial distribution characteristics of impact heat. Then, spatial mapping and dynamic matching analysis are used to connect the aforementioned spatial distribution characteristics of impact heat, which characterize the "heat injection diagram," with the spatial distribution characteristics of impact heat, which characterize the "basic heat dissipation capacity diagram." The radial temperature gradient information (e.g., the temperature of the outer shell on the east side facing the sun reaches 85℃, while the temperature on the west side facing away from the sun is only 45℃) is superimposed and analyzed to assess whether the injection rate of impact heat and the natural heat dissipation capacity of the region determined by its own temperature (following the principle of heat dissipation driven by temperature difference) are in dynamic equilibrium or imbalance in each micro-element region. For example, it identifies "a region that is receiving high-intensity impact heat injection, while its basic heat dissipation capacity is weak due to its location on the shady side," thereby generating information on the thermal-gradient coupling effect. Finally, through real-time perturbation modulation analysis, the distribution characteristics of the irradiation heat load characterizing the continuous external thermal perturbation (e.g., in the afternoon, the direct solar radiation intensity to the top of the generatrix is ​​as high as about 800W / m) are analyzed. 2 As a modulation factor, it is incorporated into the aforementioned analysis to quantitatively assess whether the addition of solar radiation further exacerbates the heat dissipation difficulties of the identified imbalanced areas (such as the superposition of oblique solar radiation in the aforementioned shaded and weak heat dissipation areas, causing the base temperature to rise by about 10°C), or whether it changes the local temperature field and thus affects the heat transfer path. Ultimately, it integrates a quantitative parameter that can comprehensively reflect the complex game and coupling relationship between the internal heat from current impact, the gradient heat dissipation of the outer shell, and the external heat from solar radiation—the coupled heat dissipation effect.

[0066] The method provided in this embodiment can fully couple the interaction between internal impact heat transfer, external temperature gradient, and solar radiation heat load, accurately presenting the dynamic balance of heat dissipation in each area of ​​the busbar casing. This provides a reliable basis for identifying key temperature rise risk points and judging the stability trend of thermal state, making the air cooling strategy more targeted, effectively suppressing local overheating, ensuring the safe and stable operation of the busbar under complex operating conditions, and improving the scientificity and accuracy of power plant thermal management.

[0067] In some embodiments, based on the bus thermal management status information set and interaction logic, the intensity, spatial orientation, and dynamic timing of the air cooling heat dissipation required to offset the net heat effect and suppress key temperature rise risk points are analyzed to obtain the core requirements of air cooling control that dynamically match the real-time thermal status of the bus. Based on the core requirements of air cooling control, combined with the feasibility information of active control of wind direction and wind boxes, the core requirements of air cooling control are analyzed and transformed into an executable instruction sequence for fine-tuning the wind speed, start-stop, and wind direction coordinated actions of specific wind boxes, thus obtaining the intelligent air cooling strategy for the phase-separated closed bus. The intelligent air cooling strategy for the phase-separated closed bus is executed, the corresponding air cooling equipment is dynamically controlled, and the response data of the strategy execution parameters and the thermal status of the bus are recorded to generate the intelligent air cooling control log for the phase-separated closed bus.

[0068] An executable instruction sequence can be a series of commands that translate core control requirements into precise, detailed control. The core requirements for air-cooled control can be the intensity, spatial orientation, and dynamic timing requirements of air-cooling heat dissipation needed to offset net heat effects and suppress critical temperature rise risks. Dynamic timing can be the adjustment of the timing and duration of air-cooling actions based on changes in the bus's thermal state. Spatial orientation can be the specific areas of the bus that require focused cooling from the air-cooled equipment. Precise control can be a control method that precisely and differentially adjusts the operating parameters of the air box based on the differences in thermal state in different areas of the bus.

[0069] Specifically, in the operating conditions of wind power plants, the busbars face the combined effects of instantaneous asymmetrical current surges, wind direction changes, and solar radiation, resulting in a dynamic net heat effect. If a precise air cooling strategy is lacking, critical temperature rise risk points may lead to insulation aging, decreased conductivity, or even power outages due to insufficient cooling. At the same time, improper control may result in energy waste or low cooling efficiency, seriously threatening the safety of the busbars and the stability of power generation in the power plant. To address the aforementioned issues, the approach begins with the analysis and mapping of the "core requirements for air-cooled control." A "demand-instruction mapper" based on a rule engine and equipment topology model is employed. For example, when the demand specifies the need for "high-intensity" (intensity) cooling and "immediate activation" (dynamic timing) on ​​the "mid-section of the east side of the busbar" (spatial orientation), the mapper first queries the equipment database to locate the two wind boxes, A03 and A04, responsible for that busbar section. Then, combining "wind direction-wind box active control feasibility information," if the current ambient wind is westerly, the mapper uses the built-in ventilation efficiency model to calculate that the A04 wind box, located on the leeward side, should be activated first, with its wind speed set to 80% of its rated power. Simultaneously, the A03 wind box, located on the windward side, is activated as an auxiliary unit, with its wind speed set to... Set at 50%, this forms a coordinated wind direction action. This series of decisions is encapsulated into an executable instruction sequence containing device ID, action (start / stop), wind speed setting, and execution timestamp, thus generating a specific "intelligent air-cooling strategy for isolated-phase enclosed bus". The strategy is sent to the corresponding frequency converter and damper actuator via the control bus to complete the "dynamic control" of the air box. Throughout the execution process, the strategy execution parameters (such as instruction issuance status and actual wind speed feedback) and the "response data of bus thermal status" (such as the temperature change rate of the infrared temperature measurement point in this area) are monitored and recorded simultaneously. This data is structured and stored in the database, automatically generating an "intelligent air-cooling control log for isolated-phase enclosed bus" containing an event chain, providing a data foundation for subsequent strategy evaluation and iterative optimization.

[0070] The method provided in this embodiment dynamically matches the real-time thermal status of the bus to generate an air-cooling strategy, accurately suppresses key temperature rise risk points, and avoids overheating failures; combined with the feasibility of wind direction-windbox control, it achieves refined cooling, improves heat dissipation efficiency and energy utilization; and records control logs to provide data support for strategy optimization and fault tracing, extend equipment life, reduce operation and maintenance costs, and ensure the safe, stable and efficient operation of the isolated phase bus and wind power plant.

[0071] Figure 3 This application provides a schematic diagram of the structure of an intelligent air-cooling strategy generation system for isolated phase closed buses, as shown in one embodiment. Figure 3 As shown, the intelligent air-cooling strategy generation system 300 for isolated phase closed busbars in this embodiment includes: a temperature rise sensing module 301, a status management module 302, and an air-cooling control module 303.

[0072] The temperature rise sensing module 301 is used to acquire the operating characteristic set of the isolated-phase enclosed bus, and based on the operating characteristic set, analyze the dynamic thermal response characteristics of the bus under the coupling effect of electric-gas-thermal multi-physics fields during the operation of the wind power plant, and obtain the temperature rise sensitive parameter set; the state management module 302 is used to analyze the dynamic evolution behavior of the internal and surface temperature distribution of the isolated-phase enclosed bus after experiencing instantaneous asymmetrical current impact, wind direction change and solar radiation under the operating conditions of the wind power plant, based on the temperature rise sensitive parameter set, and obtain the bus thermal management state information set; the air cooling control module 303 is used to generate and execute the intelligent air cooling strategy of the isolated-phase enclosed bus according to the bus thermal management state information set, dynamically control the air cooling equipment coupled with the bus, and output the intelligent air cooling control log of the isolated-phase enclosed bus.

[0073] Optionally, when the temperature rise sensing module 301 analyzes the dynamic thermal response characteristics of the bus under the coupling effect of electro-gas-thermal multi-physics fields during the operation of a wind power plant based on the operating feature set of the isolated closed bus, and obtains the temperature rise sensitive parameter set, it is specifically used for: the operating feature set of the isolated closed bus includes bus current data, environmental meteorological data, and bus surface temperature data; based on the bus current data and combined with the environmental meteorological data, analyzing the additional heating power and distribution characteristics caused by the instantaneous asymmetrical impact of the bus three-phase current caused by gust fluctuations, and obtaining current impact parameters; based on the bus surface temperature data and combined with the environmental meteorological data, analyzing the gradient heat load formed by solar radiation on the surface of the bus shell and its impact on the natural heat dissipation capacity of the bus, and obtaining external thermal environment effect parameters; based on the environmental meteorological data and combined with the bus surface temperature data, analyzing the difference in the impact of environmental wind from different flow directions on the heat dissipation efficiency of the wind box configured on the bus, and obtaining air cooling heat dissipation parameters; and integrating the current impact parameters, the external thermal environment effect parameters, and the air cooling heat dissipation parameters to construct the temperature rise sensitive parameter set.

[0074] Optionally, the temperature rise sensing module 301, during the construction of the current impact parameters, is specifically used for: analyzing the real-time difference fluctuations of the instantaneous values ​​of the three-phase current based on the bus current data, identifying the instantaneous asymmetrical current impact characteristics caused by gust fluctuations, and obtaining current impact information; based on the current impact information, analyzing the spatial distribution of additional heating power caused by the instantaneous asymmetrical current impact characteristics on different sections of the bus conductor joint and the outer shell, and obtaining impact heating distribution characteristics; based on the impact heating distribution characteristics, analyzing the superimposed temperature rise risk caused by the spatial distribution of additional heating power to the historical temperature rise weak areas of the bus, and obtaining impact temperature rise risk information; and integrating the current impact information, the impact heating distribution characteristics, and the impact temperature rise risk information to construct the current impact parameters.

[0075] Optionally, the temperature rise sensing module 301, during the construction of the external thermal environment parameters, is specifically used for: analyzing the differences in direct solar radiation intensity on the surface of the busbar shell at different locations during different time periods based on the environmental meteorological data, to obtain the radiation heat load distribution characteristics of the busbar shell surface; analyzing the real-time temperature difference between the busbar shell surface on the directly irradiated side and the shaded side due to the different radiation intensity received, based on the busbar surface temperature data and the radiation heat load distribution characteristics, to obtain the radial temperature gradient information of the busbar shell surface; analyzing the obstruction effect on the natural heat dissipation path from the busbar interior to the environment caused by the uneven temperature distribution on the shell surface, to obtain the suppression effect information of solar radiation on the natural heat dissipation capacity of the busbar; and integrating the radiation heat load distribution characteristics, the radial temperature gradient information, and the suppression effect information to construct the external thermal environment parameters.

[0076] Optionally, the temperature rise sensing module 301, during the construction of the air-cooling heat dissipation parameters, is specifically used for: analyzing the spatial correspondence between the direction of the ambient wind flow and the air inlet and duct of the wind box configured for the busbar based on the environmental meteorological data, to obtain the wind direction-wind box spatial interaction characteristics; based on the busbar surface temperature data, combined with the wind direction-wind box spatial interaction characteristics, analyzing the changes in the wind box's air intake efficiency, internal duct flow field distribution, and the intensity of the effective air-cooled airflow finally blowing onto the busbar outer shell surface under different ambient wind flow directions, to obtain ventilation and heat dissipation performance characteristics; based on the ventilation and heat dissipation performance characteristics, analyzing the effectiveness of the ambient wind flow direction in intervening in the overall thermal state of the busbar by changing the wind box's working efficiency, to obtain the feasibility information for active wind direction-wind box control; and integrating the wind direction-wind box spatial interaction characteristics, the ventilation and heat dissipation performance characteristics, and the feasibility information for active wind direction-wind box control to construct the air-cooling heat dissipation parameters.

[0077] Optionally, when the state management module 302 analyzes the dynamic evolution of the internal and surface temperature distribution of the isolated closed busbar after experiencing instantaneous asymmetric current impact, wind direction change, and solar radiation under wind power plant conditions, based on the temperature rise sensitive parameter set, and obtains the busbar thermal management state information set, it is specifically used to: analyze the interaction logic between the current impact parameters, the external thermal environment parameters, and the air cooling parameters based on the temperature rise sensitive parameter set; analyze the net heat effect of the local heat generated by the instantaneous asymmetric current impact, the shell temperature gradient caused by solar radiation, and the air cooling efficiency determined by the direction of ambient wind flow on the busbar space, based on the interaction logic; analyze the temperature dynamics of different historical temperature rise weak areas on the busbar under the net heat effect based on the net heat effect, identify the key temperature rise risk points that currently require the most active intervention, and judge the stability trend of the overall thermal state of the busbar, thereby obtaining the busbar thermal management state information set.

[0078] Optionally, the state management module 302, during the construction of the interaction logic, is specifically used to: based on the impact heat distribution characteristics and combined with the impact temperature rise risk information, analyze the spatial path and rate of the additional heat generated inside the busbar by the instantaneous asymmetrical current impact to the busbar shell, and obtain the dynamic conduction characteristics of the impact heat; based on the radial temperature gradient information and the irradiation heat load distribution characteristics, combined with the dynamic conduction characteristics of the impact heat, analyze the impact heat transferred from inside the busbar to the shell, and the differentiated natural heat dissipation conditions faced by different areas of the shell surface due to the temperature gradient, and obtain the coupled heat dissipation effect; based on the ventilation heat dissipation efficiency characteristics and the wind direction-windbox spatial effect characteristics, combined with the coupled heat dissipation effect, analyze the effective airflow corresponding to different environmental wind direction, and the difference in real-time cooling capacity of forced convection for different areas of the busbar shell bearing the coupled heat dissipation effect, and obtain the interaction logic.

[0079] Optionally, the state management module 302, during the construction of the coupled heat dissipation effect, is specifically used to: analyze the time sequence and intensity distribution of the additional heat generated by the instantaneous asymmetrical current impact transferred to each region of the busbar shell based on the dynamic conduction characteristics of the impact heat, to obtain the spatial distribution characteristics of the impact heat; based on the spatial distribution characteristics of the impact heat, combined with the radial temperature gradient information, analyze the cumulative trend of the additional heat in each region of the busbar shell, and the dynamic matching and imbalance influence characteristics between the corresponding region's natural heat dissipation capacity determined by its own temperature gradient, to obtain thermal-gradient coupling information; based on the thermal-gradient coupling information, combined with the irradiation heat load distribution characteristics, analyze the additional heat load formed by solar irradiation on the surface of the busbar shell, and the real-time modulation effect on the relationship between natural heat dissipation capacity and heat accumulation trend in the thermal-gradient coupling information, to obtain the coupled heat dissipation effect.

[0080] Optionally, when the air-cooling control module 303 generates and executes the intelligent air-cooling strategy for the isolated-phase closed bus based on the bus thermal management status information set, dynamically controls the air-cooling equipment coupled to the bus, and outputs the intelligent air-cooling control log for the isolated-phase closed bus, it is specifically used for: analyzing the intensity, spatial orientation, and dynamic timing of air-cooling heat dissipation required to offset the net heat effect and suppress the key temperature rise risk point based on the bus thermal management status information set and the interaction logic, to obtain the core requirements for air-cooling control that dynamically match the real-time thermal state of the bus; based on the core requirements for air-cooling control, combined with the feasibility information of the wind direction-windbox active control, analyzing and converting the core requirements for air-cooling control into an executable instruction sequence for fine-tuning the wind speed, start / stop, and wind direction coordination of specific windboxes, to obtain the intelligent air-cooling strategy for the isolated-phase closed bus; executing the intelligent air-cooling strategy for the isolated-phase closed bus, dynamically controlling the corresponding air-cooling equipment, and recording the response data of the strategy execution parameters and the thermal state of the bus, to generate the intelligent air-cooling control log for the isolated-phase closed bus.

[0081] The system in this embodiment can be used to execute the methods of any of the above embodiments, and its implementation principle and technical effect are similar, so they will not be described again here.

Claims

1. A method for generating intelligent air-cooling strategies for isolated phase closed buses, characterized in that, include: Obtain the operating characteristic set of the phase-separated closed bus, and based on the operating characteristic set of the phase-separated closed bus, analyze the dynamic thermal response characteristics of the bus under the coupling effect of electric-gas-thermal multi-physics field during the operation of the wind power plant, and obtain the temperature rise sensitive parameter set; Based on the set of temperature rise sensitive parameters, the dynamic evolution of the internal and surface temperature distribution of the isolated closed busbar after experiencing instantaneous asymmetrical current impact, wind direction change and solar radiation under the operating conditions of a wind power plant is analyzed, and the set of busbar thermal management status information is obtained. Based on the bus thermal management status information set, an intelligent air-cooling strategy for the isolated phase-closed bus is generated and executed, dynamically controlling the air-cooling equipment coupled to the bus, and outputting the intelligent air-cooling control log for the isolated phase-closed bus.

2. The method according to claim 1, characterized in that, Based on the operating characteristic set of the isolated closed bus, the dynamic thermal response characteristics of the bus under the coupling of electro-gas-thermal multi-physics fields during the operation of the wind power plant are analyzed, resulting in a set of temperature rise sensitive parameters, including: The operating feature set of the isolated phase-closed busbar includes busbar current data, environmental meteorological data, and busbar surface temperature data; Based on the bus current data and the environmental meteorological data, the additional heating power and distribution characteristics of the instantaneous asymmetrical impact of the three-phase current of the bus caused by gust fluctuations are analyzed to obtain the current impact parameters. Based on the busbar surface temperature data and the environmental meteorological data, the gradient heat load formed by solar radiation on the busbar outer shell surface and its impact on the busbar's natural heat dissipation capacity are analyzed to obtain the external thermal environment parameters. Based on the environmental meteorological data and the busbar surface temperature data, the influence of different incoming wind directions on the heat dissipation efficiency of the air box configured on the busbar is analyzed to obtain the air-cooled heat dissipation parameters. The set of temperature rise sensitive parameters is constructed by integrating the current surge parameters, the external thermal environment parameters, and the air cooling parameters.

3. The method according to claim 2, characterized in that, The process of constructing the current impact parameters includes: Based on the bus current data, the real-time difference fluctuation of the instantaneous values ​​of the three-phase current is analyzed, the instantaneous asymmetrical current impact characteristics caused by gust fluctuations are identified, and current impact information is obtained. Based on the current impact information, the spatial distribution of additional heating power caused by the instantaneous asymmetric current impact characteristics on different sections of the bus conductor joint and the outer shell is analyzed to obtain the impact heating distribution characteristics. Based on the aforementioned impact heat distribution characteristics, the superimposed temperature rise risk caused by the spatial distribution of the additional heat power to the historical weak area of ​​the busbar is analyzed, and impact temperature rise risk information is obtained. The current impact parameters are constructed by integrating the current impact information, the impact heat distribution characteristics, and the impact temperature rise risk information.

4. The method according to claim 3, characterized in that, The process of constructing the external thermal environment parameters includes: Based on the aforementioned environmental meteorological data, the differences in direct solar radiation intensity on the surface of the busbar outer shell at different times and locations are analyzed to obtain the distribution characteristics of the radiation heat load on the surface of the busbar outer shell. Based on the busbar surface temperature data and the irradiation heat load distribution characteristics, the real-time temperature difference between the busbar outer shell surface on the side directly exposed to the sun and the shaded side due to the different irradiation intensities is analyzed to obtain the radial temperature gradient information of the busbar outer shell surface. Based on the radial temperature gradient information, the resistance effect of uneven temperature distribution on the surface of the outer shell on the natural heat dissipation path of the busbar's internal heat to the environment through the outer shell is analyzed, and the information on the inhibitory effect of solar radiation on the natural heat dissipation capacity of the busbar is obtained. By integrating the irradiation heat load distribution characteristics, the radial temperature gradient information, and the suppression effect information, the external thermal environment effect parameters are constructed.

5. The method according to claim 4, characterized in that, The process of constructing the air-cooling heat dissipation parameters includes: Based on the aforementioned environmental meteorological data, the spatial relationship between the direction of the incoming environmental wind and the air inlet and duct of the wind box configured for the busbar is analyzed to obtain the spatial interaction characteristics of wind direction and wind box. Based on the busbar surface temperature data and combined with the wind direction-windbox spatial interaction characteristics, the changes in the wind box's air intake efficiency, internal air duct flow field distribution, and the intensity of the effective air-cooled airflow that finally blows onto the busbar outer shell surface are analyzed under different environmental wind flow directions, so as to obtain the ventilation and heat dissipation performance characteristics. Based on the aforementioned ventilation and heat dissipation performance characteristics, the effectiveness of intervening in the overall thermal state of the busbar by changing the working efficiency of the wind box by the direction of the ambient airflow is analyzed, and the feasibility information of active wind direction-wind box control is obtained. By integrating the spatial characteristics of the wind direction-windbox, the ventilation and heat dissipation performance characteristics, and the feasibility information of active control of the wind direction-windbox, the air-cooling heat dissipation parameters are constructed.

6. The method according to claim 5, characterized in that, Based on the set of temperature rise sensitive parameters, the dynamic evolution of the internal and surface temperature distribution of the isolated closed busbar under wind power plant conditions, after experiencing instantaneous asymmetrical current impact, wind direction changes, and solar radiation, is analyzed to obtain a set of busbar thermal management status information, including: Based on the set of temperature rise sensitive parameters, the interaction logic between the current impact parameter, the external thermal environment effect parameter and the air cooling heat dissipation parameter is analyzed. Based on the aforementioned interaction logic, the net heat effect of the three factors superimposed on the busbar space is analyzed: the local heat generated by the instantaneous asymmetric current impact, the shell temperature gradient caused by solar radiation, and the air cooling efficiency determined by the direction of ambient wind flow. Based on the aforementioned net heat effect, the temperature dynamics of different historically weak temperature rise areas on the busbar under the aforementioned net heat effect are analyzed to identify the key temperature rise risk points that currently require the most proactive intervention, and to determine the stability trend of the overall thermal state of the busbar, thereby obtaining the busbar thermal management status information set.

7. The method according to claim 6, characterized in that, The construction process of the interaction logic includes: Based on the aforementioned impact heat distribution characteristics and combined with the impact temperature rise risk information, the spatial path and rate of the additional heat generated inside the busbar by the instantaneous asymmetrical current impact are analyzed and transferred to the busbar shell, thus obtaining the dynamic conduction characteristics of impact heat. Based on the radial temperature gradient information, the irradiation heat load distribution characteristics, and the dynamic conduction characteristics of the impact heat, the impact heat transferred from the inside of the busbar to the outer shell is analyzed. The different natural heat dissipation conditions faced by different regions of the outer shell surface due to the temperature gradient are obtained, and the coupled heat dissipation effect is obtained. Based on the ventilation and heat dissipation performance characteristics, the airflow direction-windbox spatial interaction characteristics, and the coupled heat dissipation effect, the effective airflow corresponding to different environmental airflow directions is analyzed to determine the real-time cooling capacity differences of different areas of the busbar shell that bear the coupled heat dissipation effect through forced convection, thus obtaining the interaction logic.

8. The method according to claim 7, characterized in that, The process of constructing the coupled heat dissipation effect includes: Based on the dynamic conduction characteristics of the impact heat, the time sequence and intensity distribution of the additional heat generated by the instantaneous asymmetrical current impact are analyzed to transfer to each area of ​​the busbar shell, and the spatial distribution characteristics of the impact heat are obtained. Based on the spatial distribution characteristics of the impact heat, combined with the radial temperature gradient information, the accumulation trend of the additional heat in each region of the busbar shell is analyzed, and the dynamic matching and imbalance between the corresponding region's natural heat dissipation capacity determined by its own temperature gradient is analyzed to obtain the thermal-gradient coupling information. Based on the thermal-gradient coupling information and the characteristics of the irradiation heat load distribution, the additional heat load formed by solar irradiation on the surface of the busbar shell is analyzed, and the real-time modulation effect of the relationship between natural heat dissipation capacity and heat accumulation trend in the thermal-gradient coupling information is obtained, thus obtaining the coupled heat dissipation effect.

9. The method according to claim 8, characterized in that, The process of generating and executing an intelligent air-cooling strategy for the isolated-phase closed bus based on the bus thermal management status information set, dynamically controlling the air-cooling equipment coupled to the bus, and outputting an intelligent air-cooling control log for the isolated-phase closed bus includes: Based on the bus thermal management status information set and the interaction logic, the intensity, spatial orientation and dynamic timing of the air cooling heat dissipation required to offset the net heat effect and suppress the key temperature rise risk points are analyzed, and the core requirements of air cooling control that are dynamically matched with the real-time thermal status of the bus are obtained. Based on the core requirements of air-cooling control, and combined with the feasibility information of active control of wind direction and wind box, the core requirements of air-cooling control are analyzed and transformed into an executable instruction sequence for fine-tuning the coordinated action of wind speed, start-stop and wind direction of specific wind boxes, thus obtaining the intelligent air-cooling strategy for the phase-separated closed bus. The intelligent air-cooling strategy for the isolated phase-closed bus is executed, the corresponding air-cooling equipment is dynamically adjusted, and the response data of the strategy execution parameters and the thermal state of the bus are recorded to generate the intelligent air-cooling control log for the isolated phase-closed bus.

10. A smart air-cooling strategy generation system for isolated phase closed buses, characterized in that, The method applied to any one of claims 1-9 includes: The temperature rise sensing module is used to acquire the operating feature set of the isolated phase closed bus. Based on the operating feature set of the isolated phase closed bus, the dynamic thermal response characteristics of the bus under the coupling effect of electric-gas-thermal multi-physics field during the operation of the wind power plant are analyzed to obtain the temperature rise sensitive parameter set. The status management module is used to analyze the dynamic evolution of the internal and surface temperature distribution of the isolated closed busbar after experiencing instantaneous asymmetrical current impact, wind direction change and solar radiation under the operating conditions of a wind power plant, based on the temperature rise sensitive parameter set, and to obtain the busbar thermal management status information set. The air-cooling control module is used to generate and execute an intelligent air-cooling strategy for the isolated-phase closed bus based on the bus thermal management status information set, dynamically control the air-cooling equipment coupled to the bus, and output the intelligent air-cooling control log of the isolated-phase closed bus.

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