Wind turbine generator operating temperature control method and system based on regional collaborative prediction

Abstract

The invention provides a wind turbine generator operating temperature control method and system based on regional collaborative prediction, and the method comprises the steps: carrying out the regional division of the interior of a cabin of a wind turbine generator according to the functions of a heat source and a heat-sensitive part, and obtaining at least two functional regions; acquiring operation state parameters of each functional area in real time; performing independent internal state evaluation on each functional area, and determining a basic response level of each functional area based on a comparison result of the running state parameter of each functional area and a preset single-area threshold value; based on the operation state parameters of all the functional regions and a preset cross-region composite condition, adjusting the basic response hierarchy to obtain a collaborative response hierarchy; and taking the higher one of the basic response level and the collaborative response level as the final response level of the corresponding functional area, and executing the corresponding temperature control operation according to the final response level. The wind turbine generator system temperature control method enables wind turbine generator system temperature control to be globally coordinated, has prediction capability, responds timely, and improves operation reliability and economical efficiency.

Description

Technical Field

[0001] This invention relates to the field of wind turbine operating temperature control, and in particular to a wind turbine operating temperature control method and system based on regional collaborative prediction. Background Technology

[0002] Wind turbine generators are complex energy devices integrating electrical, mechanical, and aerodynamic components. During operation, their core components, such as generators, gearboxes, and converters, generate a significant amount of heat. Simultaneously, the units must withstand extreme external environments, such as frigid conditions. Therefore, precise and effective temperature control is crucial for ensuring the safe, stable, and efficient operation of wind turbine generators.

[0003] In existing technologies, temperature control systems for wind turbine generators typically employ decentralized and independent control strategies. For example, the generator, gearbox, and converter each have their own independent temperature sensors and cooling / heating systems. These systems usually perform start-stop control based on simple, fixed temperature thresholds, representing a passive, reactive management model. This model suffers from significant drawbacks such as a lack of coordination, lag in response, lack of predictability, and a simplistic control strategy. Therefore, there is an urgent need for a wind turbine temperature control method that can achieve global coordination, has predictive capabilities, and responds promptly, in order to improve the overall operational reliability and economy of the unit. Summary of the Invention

[0004] This invention provides a wind turbine operating temperature control method and system based on regional collaborative prediction, which addresses the relevant deficiencies in the prior art, enabling wind turbine temperature control to achieve global collaboration, predictive capabilities, and timely response, thereby improving the overall operational reliability and economy of the unit.

[0005] This invention provides a method for controlling the operating temperature of wind turbine units based on regional collaborative prediction, comprising: The interior of the wind turbine nacelle is divided into zones according to the functions of heat sources and heat-sensitive components, resulting in at least two functional zones. Real-time acquisition of operating status parameters for each of the aforementioned functional areas; Each functional region is independently evaluated for its internal state, and the basic response level of each functional region is determined based on the comparison between the operating state parameters of each functional region and the preset single-region threshold. Based on the operating status parameters of all the functional areas and the preset cross-regional composite conditions, the basic response level is adjusted to obtain the collaborative response level. The higher of the basic response level and the collaborative response level is taken as the final response level of the corresponding functional area, and the corresponding temperature control operation is performed according to the final response level.

[0006] According to the wind turbine operating temperature control method provided by the present invention, in the step of dividing the interior of the wind turbine nacelle into at least two functional areas based on the functions of heat sources and heat-sensitive components, the obtained functional areas include: The generator system area includes the generator stator, generator rotor, and corresponding bearing components; The gearbox and transmission chain area includes the gearbox, main bearing and lubrication system; The converter and electrical control area includes converters and control cabinets.

[0007] The wind turbine operating temperature control method provided by the present invention further includes: Multiple response levels are pre-defined, ranging from low to high. These response levels include at least a health monitoring and trend warning level, a refined dynamic adjustment level, a high-intensity proactive intervention level, a preventive capacity reduction operation level, and a protective emergency shutdown level.

[0008] According to the wind turbine operating temperature control method provided by the present invention, in the step of real-time acquisition of operating status parameters of each of the functional areas, the acquired operating status parameters include at least: Temperature values, temperature change rate, current operating load or power level of the unit, operating status of the cooling or heating system of the functional area, and ambient temperature outside the cabin are all measured at key points in each functional area.

[0009] According to the wind turbine operating temperature control method provided by the present invention, the step of adjusting the basic response level based on the operating state parameters of all functional areas and preset cross-regional composite conditions to obtain a coordinated response level includes: When the operating load of the generator system area is detected to be increasing, it is predicted that the heat generated in the converter and electrical control area will increase, thereby raising the response level of the converter and electrical control area in advance to start the pre-cooling operation.

[0010] According to the wind turbine operating temperature control method provided by the present invention, the step of adjusting the basic response level based on the operating state parameters of all functional areas and preset cross-regional composite conditions to obtain a coordinated response level includes: When any of the functional areas enters the high-intensity active intervention level and shares cooling or heating resources with another functional area, the resource needs of the first functional area are guaranteed first, and compensatory measures are taken for the other functional area.

[0011] According to the wind turbine operating temperature control method provided by the present invention, the step of adjusting the basic response level based on the operating state parameters of all functional areas and preset cross-regional composite conditions to obtain a coordinated response level includes: When the cooling or heating system of any of the functional areas fails, the potential risk is assessed based on the unit's current operating load, and the unit's response level is raised in advance to execute the preventive derating operation level before the temperature of the functional area reaches the alarm threshold.

[0012] According to the wind turbine operating temperature control method provided by the present invention, the step of adjusting the basic response level based on the operating state parameters of all functional areas and preset cross-regional composite conditions to obtain a coordinated response level includes: When at least two of the functional areas are simultaneously at the high-intensity active intervention level, the overall response level of the unit is raised to the preventive derating operation level.

[0013] According to the wind turbine operating temperature control method provided by the present invention, the step of adjusting the basic response level based on the operating state parameters of all functional areas and preset cross-regional composite conditions to obtain a coordinated response level includes: Under low-temperature conditions, when any of the functional areas needs to be heated, it is determined whether there is available waste heat in the other functional areas, and the waste heat is prioritized to coordinate heating of the functional area that needs to be heated.

[0014] The present invention also provides a wind turbine operating temperature control system based on regional collaborative prediction, comprising: The area division module is used to divide the interior of the wind turbine nacelle into areas according to the functions of heat sources and heat-sensitive components, resulting in at least two functional areas. The data acquisition module is used to collect the operating status parameters of each of the functional areas in real time; The status assessment module is used to perform independent internal status assessment for each functional area, and determine the basic response level of each functional area based on the comparison results of the operating status parameters of each functional area and the preset single-area threshold. The collaborative decision-making module is used to adjust the basic response level based on the operating status parameters of all the functional areas and preset cross-regional composite conditions to obtain a collaborative response level. The instruction execution module is used to take the higher of the basic response level and the cooperative response level as the final response level of the corresponding functional area, and to execute the corresponding temperature control operation according to the final response level.

[0015] The wind turbine operating temperature control method and system based on regional collaborative prediction provided by this invention can predict future temperature risks based on trends such as load changes through cross-regional collaborative prediction and judgment, and intervene in advance, effectively avoiding temperature overshoot and response lag, and realizing the transformation from passive response to active prediction.

[0016] Furthermore, by comprehensively assessing systemic risks (such as simultaneous alarms in multiple areas or failures of critical cooling components), preventative derating or shutdown can be decisively implemented, avoiding serious failures caused by the spread of localized problems and improving the reliability and safety of system operation.

[0017] Furthermore, through coordinated scheduling, energy-saving operations such as waste heat utilization can be achieved. For example, the waste heat of the generator can be used to preheat the low-temperature gearbox, which reduces the energy consumption of the temperature control system itself and optimizes energy utilization efficiency.

[0018] Furthermore, refined temperature management reduces the number of times components are subjected to extreme temperatures and drastic temperature fluctuations, thereby reducing thermal stress fatigue and extending their service life. Attached Figure Description

[0019] To more clearly illustrate the technical solutions in this invention 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 invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0020] Figure 1 This is a flowchart illustrating the wind turbine operating temperature control method based on regional collaborative prediction provided by the present invention.

[0021] Figure 2 This is a schematic diagram of the wind turbine operating temperature control system based on regional collaborative prediction provided by the present invention.

[0022] Figure 3 This is a schematic diagram of the structure of the electronic device provided by the present invention. Detailed Implementation

[0023] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention 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 invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0024] The following is combined Figures 1 to 3 This paper describes embodiments of the wind turbine operating temperature control method and system based on regional collaborative prediction according to the present invention. It should be understood that the following descriptions are merely illustrative embodiments of the present invention and do not constitute any special limitation on the present invention.

[0025] like Figure 1 As shown, the wind turbine operating temperature control method 100 based on regional collaborative prediction provided by the present invention may include the following steps: Step 102, namely the area division step: The interior of the wind turbine nacelle is divided into areas according to the functions of heat sources and heat-sensitive components to obtain at least two functional areas; Step 104, i.e., the data acquisition step: Real-time acquisition of the operating status parameters of each of the aforementioned functional areas; Step 106, the independent evaluation step: Perform an independent internal state evaluation on each functional area, and determine the basic response level of each functional area based on the comparison results of the operating state parameters of each functional area with the preset single-area threshold. Step 108, namely the collaborative prediction and judgment step: Based on the operating status parameters of all the functional areas and the preset cross-regional composite conditions, the basic response level is adjusted to obtain the collaborative response level; Step 110, namely the final decision and execution step: take the higher of the basic response level and the collaborative response level as the final response level of the corresponding functional area, and execute the corresponding temperature control operation according to the final response level.

[0026] As can be seen from the above embodiments, the wind turbine operating temperature control method based on regional collaborative prediction provided by the present invention can predict future temperature risks based on trends such as load changes through cross-regional collaborative prediction and judgment, and intervene in advance, effectively avoiding temperature overshoot and response lag, and realizing the transformation from passive response to active prediction.

[0027] Furthermore, by comprehensively assessing systemic risks (such as simultaneous alarms in multiple areas or failures of critical cooling components), preventative derating or shutdown can be decisively implemented, avoiding serious failures caused by the spread of localized problems and improving the reliability and safety of system operation.

[0028] Furthermore, through coordinated scheduling, energy-saving operations such as waste heat utilization can be achieved. For example, the waste heat of the generator can be used to preheat the low-temperature gearbox, which reduces the energy consumption of the temperature control system itself and optimizes energy utilization efficiency.

[0029] Furthermore, refined temperature management reduces the number of times components are subjected to extreme temperatures and drastic temperature fluctuations, thereby reducing thermal stress fatigue and extending their service life.

[0030] The above method will be described in detail below with reference to embodiments. It should be understood that the following description is merely an illustrative embodiment of the present invention and does not constitute any limitation on the present invention.

[0031] First, the present invention begins with step 102. In step 102, in one embodiment, the functional area can be divided into the following three core areas: Area A (Generator System Area): This area centers on the generator and includes the stator, rotor, and front and rear bearing components. During actual operation, the generator is the primary heat source for the wind turbine, and its temperature directly affects the insulation level and power generation efficiency.

[0032] Zone B (Gearbox and Drivetrain Zone): This zone centers on the gearbox and includes all gears, bearings, and the lubrication system. During actual operation, the gearbox temperature, especially the temperature and viscosity of the lubricating oil, is crucial to transmission efficiency and mechanical wear.

[0033] Area C (Converter and Electrical Control Area): This area centers on the converter and related control cabinets, including IGBT modules, reactors, capacitors, and other power electronic devices. These devices are extremely sensitive to temperature, and overheating is one of the main causes of their failure.

[0034] By dividing the system as described above, the three key thermal management units—mechanical transmission system, power generation system, and power conversion system—can be clearly separated, facilitating targeted and coordinated control.

[0035] Next, in step 104, the system will collect the operating status parameters of each functional area in real time. Specifically, the data acquisition module will collect the following key parameters at a high frequency (e.g., once per second) through the unit's SCADA system and internal bus (such as CAN bus): Temperature values: Real-time readings from multiple PT100 temperature sensors distributed within zones A, B, and C.

[0036] Temperature change rate: Calculated by differential calculation of continuous temperature values, used to determine the rate at which temperature rises or falls.

[0037] Operating load or power level: The current active power obtained from the main controller, which is the most critical parameter for predicting heat generation.

[0038] Cooling / Heating System Status: Feedback signals such as the speed of cooling fans in each area, the start / stop status of water pumps, valve opening degree, and heater power.

[0039] External ambient temperature: Temperature sensor readings outside the cabin, used to help determine heat dissipation efficiency and low-temperature preheating requirements.

[0040] Further, after collecting the operating status parameters of each functional area, the method proceeds to step 106. In step 106, the system performs an independent internal state assessment of each functional area and determines the basic response level of each functional area based on the comparison results between the operating status parameters of each functional area and the preset single-area threshold.

[0041] Specifically, in order to standardize and hierarchize control commands, a response hierarchy system from L1 to L5 is first preset, as described below, with each level corresponding to a different level of risk and intervention intensity: L1 - Health Monitoring and Trend Early Warning Level: At this level, all parameters collected above are within the ideal range, and the system only monitors and records data to analyze temperature change trends.

[0042] L2 - Fine-grained dynamic adjustment level: At this level, the collected temperature is close to the warning line or the system predicts that the temperature will fluctuate slightly. In this case, the system will perform low-power, low-energy-consumption adjustment actions, such as slightly increasing the cooling fan speed or starting low-power preheating.

[0043] L3 - High-Intensity Active Intervention Level: At this level, if the collected temperature exceeds the warning threshold or a controllable system failure occurs, the system will either activate the main cooling / heating system at full power or activate the backup system.

[0044] L4 - Preventive Degradation Operation Level: At this level, the collected temperature approaches the alarm threshold, a critical component fails, or the system assessment indicates a risk of thermal runaway. In this case, the system will proactively send an instruction to the main control system to reduce the unit's active power output, thereby reducing heat generation at the source.

[0045] L5 - Protective Emergency Shutdown Level: At this level, if temperature runaway occurs, the shutdown threshold is reached or exceeded, or a major fault that could cause serious damage occurs, the system will execute the highest level of protection and shut down safely.

[0046] In practice, the core objective of step 106 is to quickly and independently perform a global scan for each functional domain without considering the influence of other regions, and to provide a preliminary, local risk assessment based on the results. This step can be broken down into the following key details: 1. Core Principle: Independence. In this step, the assessment of Area A (the generator system area) relies entirely and solely on data collected from Area A. At this time, the system temporarily "shiels" all information from Areas B and C. Similarly, when assessing Area B, Areas A and C are not considered. This ensures rapid and fundamental judgment, enabling the most direct response to clear and apparent risks occurring within each area, forming the system's first line of defense, and preventing delays in responding to local emergencies due to complex coordination logic.

[0047] 2. Evaluation criteria: Operating status parameters and single-zone thresholds. Evaluation requires real-time operating status parameters and preset single-zone thresholds.

[0048] Operating status parameters are not just single temperature values, but a multi-dimensional set of parameters specific to the area being evaluated. For example, for area A (generator system area), the parameters might include: Absolute state parameters: generator stator winding temperature, front and rear bearing temperatures.

[0049] Dynamic parameter: The rate of change of stator winding temperature over the past minute (e.g., +2℃ / min).

[0050] Operating condition related parameters: Current output power or torque of the unit (load level).

[0051] Subsystem status parameters: speed and operating status (normal / fault) of the generator's built-in cooling fan.

[0052] For the preset single-zone thresholds, this is a set of rules and limit tables customized for each zone, which associates the aforementioned operational status parameters with preset response levels (L1-L5). This set of thresholds is not a single number, but a judgment matrix. For example, for the L2 and L3 levels of zone A, the thresholds might be defined as: Conditions for triggering L2 (fine-grained dynamic adjustment level): Condition 1: Stator temperature > 85 degrees Celsius and current power > 90% of rated power.

[0053] Or condition 2: Temperature change rate > 1.5 degrees Celsius / min.

[0054] Conditions for triggering L3 (high-intensity active intervention level): Condition 1: Stator temperature > 95 degrees Celsius.

[0055] Or condition 2: The generator cooling system reports a "fault" status.

[0056] 3. Evaluation Process: Comparison and Determination. The evaluation process follows a logical judgment flow from high risk to low risk to ensure that the highest level of risk is identified first. For example, if the controller is currently evaluating area A, it first acquires real-time data for area A, i.e., the controller reads the current temperature, temperature change rate, power consumption, cooling system status, etc., of area A. Then, it compares and judges the data (from high to low): To determine if L5 is triggered: Check if the parameters of area A meet the single-area threshold of L5 (e.g., stator temperature > 125 degrees Celsius). Yes: The basic response level for area A is determined to be L5, and the evaluation is complete.

[0057] No: Continue judging downwards.

[0058] To determine if L4 is triggered: Check if the parameters of area A meet the single-area threshold of L4 (e.g., stator temperature > 115 degrees Celsius). Yes: The basic response level for area A is determined to be L4, and the evaluation is complete.

[0059] No: Continue judging downwards.

[0060] To determine if L3 is triggered: Check if the parameters of area A meet the single-area threshold of L3 (as in the example above)? Yes: The basic response level for area A is determined to be L3, and the evaluation is complete.

[0061] No: Continue judging downwards.

[0062] To determine if L2 is triggered: check if the parameters of area A meet the single-area threshold of L2 (as in the example above). Yes: The basic response level for area A is determined to be L2, and the evaluation is complete.

[0063] No: Continue judging downwards.

[0064] Determined as L1: If none of the above high-risk conditions are met, then the basic response level for area A is determined to be L1 (health monitoring).

[0065] Then, the controller records "Area A Basic Response Level = L2" (or other results), and then begins to repeat the above independent evaluation process of steps 1-3 for areas B and C.

[0066] After completing this entire set of steps, the system will obtain a set of preliminary, independent risk assessment results, such as: Basic response level for area A (generator): L2 Basic response level for Zone B (gearbox): L1 Basic response level of area C (converter): L1 In other words, the above process can feed back to the system: "Without considering any external factors, the generator area has shown some signs that require attention (L2), while the gearbox and converter areas are currently in good condition (L1)." This basic response level is the input and foundation for subsequent higher-level cross-regional collaborative prediction and judgment.

[0067] For the above process, taking area A (the generator system area) as an example, the main monitored parameters include generator stator winding temperature, generator front bearing temperature, generator rear bearing temperature, temperature change rate, generator cooling system status, and current output power. The response level judgment conditions are as follows.

[0068] L5 (Protective Emergency Stop Level): Condition A5-1: Generator stator winding temperature ≥ 125 degrees Celsius. (Insulation class limit reached, risk of immediate burnout). Or condition A5-2: Temperature of any generator bearing ≥ 110 degrees Celsius. (Bearings may experience seizure or permanent damage).

[0069] L4 (Preventative Degradation Operation Level): Condition A4-1: 115 degrees Celsius ≤ Generator stator winding temperature < 125 degrees Celsius; Or condition A4-2: 100 degrees Celsius ≤ temperature of any generator bearing < 110 degrees Celsius; Or condition A4-3: (Generator stator winding temperature ≥ 105 degrees Celsius) and (Generator cooling system status is "faulty"). (High temperature and loss of cooling capacity; heat generation must be reduced at the source) L3 (High-intensity active intervention level): Condition A3-1: Generator stator winding temperature ≤ 95°C < 115°C. (A clear high-temperature alarm requires full-power cooling); Or condition A3-2: The generator cooling system status report is "fault". (Regardless of the current temperature, loss of cooling capacity is a high-risk event and requires immediate attempt to start standby or repair.) L2 (Refined Dynamic Adjustment Level): Condition A2-1: Generator stator winding temperature ≤ 85°C < 95°C. (Entering the warning range, cooling intensity needs to be gradually increased); Or condition A2-2: (Temperature change rate > 1.5 degrees Celsius / minute) and (Current output power > 80% of rated power). (The temperature rise is too rapid, showing a tendency to quickly reach the high temperature alarm; early intervention is required.) L1 (Health Monitoring and Trend Early Warning): Conditions: No conditions in L2, L3, L4, or L5 were triggered. All parameters are within the normal and healthy operating range.

[0070] For Zone B, the gearbox and drivetrain area, the main monitoring parameters include gearbox oil sump temperature, high-speed stage bearing temperature, planetary gear bearing temperature, gearbox heater status, gearbox cooling system (oil pump / fan) status, and lubricating oil filter differential pressure. The response level judgment conditions are as follows.

[0071] L5 (Protective Emergency Stop Level): Condition B5-1: Gearbox oil sump temperature ≥ 95 degrees Celsius. (Lubricating oil may be ineffective or coking). Or condition B5-2: Temperature of any gearbox bearing ≥ 115 degrees Celsius. (Bearing faces risk of burnout); Or condition B5-3: (Gearbox oil sump temperature ≤ -20 degrees Celsius) and (the unit is running). (The lubricating oil has solidified at low temperatures and cannot form an effective oil film, which will lead to severe wear during operation).

[0072] L4 (Preventative Degradation Operation Level): Condition B4-1: 90 degrees Celsius ≤ Gearbox oil sump temperature < 95 degrees Celsius; Or condition B4-2: (Gearbox oil sump temperature > 80 degrees Celsius) and (Gearbox cooling system status is "fault"); Or condition B4-3: (Gearbox oil sump temperature ≤ -10 degrees Celsius) and (Gearbox heater status is "faulty"). (Unable to raise oil temperature to the safe starting range, operation must be restricted to prevent damage) L3 (High-intensity active intervention level): Condition B3-1: Gearbox oil sump temperature ≤ 85°C < 90°C. (Start the cooling system at full power). Or condition B3-2: Gearbox oil sump temperature ≤ -5 degrees Celsius. (Start heater at full power); Or condition B3-3: Lubricating oil filter differential pressure > preset alarm value. (The filter is severely clogged, affecting oil circulation, and immediate intervention is required).

[0073] L2 (Refined Dynamic Adjustment Level): Condition B2-1: 75°C ≤ Gearbox oil sump temperature < 85°C. (Start or increase cooling system speed); Or condition B2-2: -5 degrees Celsius < gearbox oil sump temperature ≤ 5 degrees Celsius. (Start preheating or low-power heating to prepare for high-load operation).

[0074] L1 (Health Monitoring and Trend Early Warning Level): Condition: None of the conditions in L2, L3, L4, and L5 have been triggered. This typically refers to the ideal operating condition where the oil temperature is between 5°C and 75°C and all subsystems are functioning normally.

[0075] For Zone C, the converter and electrical control area, the main monitoring parameters include the converter IGBT module temperature, DC bus capacitor temperature, control cabinet internal ambient temperature, and the status of the converter cooling system (liquid cooling or air cooling) (e.g., coolant flow rate, temperature, water pump / fan status). The response level judgment conditions are as follows.

[0076] L5 (Protective Emergency Stop Level): Condition C5-1: IGBT module temperature ≥ 90 degrees Celsius. (Irreversible thermal breakdown of the semiconductor device is imminent). Or condition C5-2: The cooling system reports a "serious malfunction" (e.g., coolant flow is zero, main pump stops). (Complete loss of heat dissipation capacity; continued operation will cause instantaneous burnout).

[0077] L4 (Preventative Degradation Operation Level): Condition C4-1: 85 degrees Celsius ≤ IGBT module temperature < 90 degrees Celsius; Or condition C4-2: DC bus capacitor temperature ≥ 75 degrees Celsius. (Capacitor life is highly temperature-dependent; high temperatures drastically shorten their lifespan and increase the risk of failure). Or condition C4-3: The cooling system reports a "general fault" (such as standby pump switching, abnormal fan speed), and the IGBT module temperature is > 70 degrees Celsius. (The heat dissipation capacity is partially damaged and the temperature is too high, requiring reduced load operation).

[0078] L3 (High-intensity active intervention level): Condition C3-1: 75°C ≤ IGBT module temperature < 85°C. (The cooling system is instructed to operate at 100% rated power). Or condition C3-2: 65 degrees Celsius ≤ DC bus capacitor temperature < 75 degrees Celsius; Or condition C3-3: The internal ambient temperature of the control cabinet is > 55 degrees Celsius. (This may affect the reliability of other control components, requiring the cabin ventilation or cabinet air conditioning to be activated).

[0079] L2 (Refined Dynamic Adjustment Level): Condition C2-1: 65 degrees Celsius ≤ IGBT module temperature < 75 degrees Celsius. (Start increasing the cooling system output power or fan speed); Or condition C2-2: The cooling system reports a "warning" message (e.g., low coolant level). (Address potential problems proactively); L1 (Health Monitoring and Trend Early Warning Level): Conditions: No conditions in L2, L3, L4, and L5 were triggered. All electrical component temperatures and subsystem states are within design limits.

[0080] Next, the method executes steps 108 and 110 in sequence, namely the collaborative prediction and judgment step: based on the operating status parameters of all functional areas and the preset cross-regional composite conditions, the basic response level is adjusted to obtain the collaborative response level; and the final decision and execution step: the higher of the basic response level and the collaborative response level is taken as the final response level of the corresponding functional area, and the corresponding temperature control operation is executed according to the final response level.

[0081] Specifically, this step treats the entire wind turbine nacelle as an interconnected and dynamically influential thermodynamic system. Its fundamental purpose is to predict the potential future impact on other areas by analyzing the state change trends or specific events in one region, thereby enabling proactive and predictive management through early intervention.

[0082] The inputs to this step are the real-time operating status parameters of all functional areas (Area A, Area B, Area C) and the "basic response level" obtained in the previous step for each area. The output is an adjusted or upgraded "coordinated response level," which, together with the "basic response level," determines the final control command.

[0083] The following detailed explanation combines three functional regions (A, B, and C) and five response levels (L1-L5) with the following typical examples.

[0084] Example 1: Collaborative Precooling Based on Load Prediction Scenario description: The wind speed continues to increase, and the wind turbine is in the rapid power increase and ramp-up phase.

[0085] State parameters: Zone A (generator): The operating load rapidly increased from 40% to 70% in a short period of time, while the temperature remained within the normal range, but the rate of temperature change was significantly positive.

[0086] Zone C (Inverter): Current and temperature are both within the normal range, with no signs of exceeding limits.

[0087] Independent assessment results (basic response level): Due to the obvious trend of load change in area A, its basic response level may be assessed as L1 or L2.

[0088] All parameters in Zone C are normal, and its basic response level is assessed as L1 (health monitoring).

[0089] Cross-regional collaborative forecasting and judgment: Preset composite condition trigger: The control system recognizes (Area A. Load growth rate > preset threshold) and (unit operation mode = power increase).

[0090] Coordination Logic: The system predicts that the rapid increase in generator load in area A will inevitably lead to a larger current being required to handle in area C after a very short delay, causing a sharp increase in its heat output. If cooling is not started after the temperature in area C rises, thermal inertia will cause temperature overshoot.

[0091] Level adjustment: Although area C itself is assessed as L1, based on the analysis of the status of area A, the collaborative decision-making module directly raises the collaborative response level of area C to L2 (refined dynamic adjustment level).

[0092] Final Response and Execution: The final response level for Zone C is the higher of its basic level L1 and its coordination level L2, i.e., L2. The controller immediately sends instructions to the cooling system of Zone C, such as "increase fan speed by 15%" or "activate auxiliary cooling circuit in advance", thereby enhancing its heat dissipation capacity in advance before the temperature of Zone C actually rises, effectively suppressing the temperature rise.

[0093] Example 2: Collaborative Priority Allocation Based on Resource Sharing Scenario Description: Operating at full capacity during summer, with high ambient temperatures. Area A and Area B share the same liquid cooling system.

[0094] State parameters: Area A (Generator): Temperature continues to rise, triggering a Level 1 high temperature alarm.

[0095] Zone B (gearbox): Oil temperature is slightly high, but still within the allowable range, and no alarm has been triggered.

[0096] Independent assessment results (basic response level): Area A was assessed as having a basic response level of L3 (high-intensity active intervention) due to the triggering of an alarm.

[0097] The temperature in Zone B is relatively high, and its basic response level is assessed as L2 (fine dynamic regulation).

[0098] Cross-regional collaborative forecasting and judgment: Preset composite condition trigger: The control system recognizes (Area A. Basic response level ≥ L3) and (Area B. Basic response level > L1) and (Area A and Area B share cooling resources).

[0099] Coordination Logic: The generator (Area A) is usually a more critical or temperature-sensitive component than the gearbox (Area B). When shared cooling resources are limited, the heat dissipation needs of Area A must be prioritized to prevent it from entering L4 derating or even L5 shutdown.

[0100] Level Adjustment: The system maintains the collaborative response level of area A at L3, while also raising the collaborative response level of area B to L3. However, the specific instruction for area B at L3 here is not to indiscriminately cool down, but to perform compensatory or risk-avoidance actions.

[0101] Final Response and Execution: The final response level for Zone A is L3, instructing the cooling system to allocate the majority of coolant flow to Zone A. The final response level for Zone B is also L3, triggering its backup cooling scheme (such as starting independent lubricating oil spray cooling or forced ventilation fans), or, in the event of no compensation, serving as an auxiliary criterion for triggering system derating.

[0102] Example 3: Systemic Risk Mitigation Based on Component Failure Scenario description: The unit is operating stably at high power.

[0103] State parameters: Zone C (Inverter): Its main cooling fan controller reports a "zero speed" fault signal. However, since the fault has just occurred, the temperature in Zone C has not yet risen significantly.

[0104] Area A and Area B: Everything is operating normally.

[0105] Independent assessment results (basic response level): Although there is a fault signal in area C, its basic response level may still be L1 because the temperature is normal.

[0106] The basic response level for both Area A and Area B is L1.

[0107] Cross-regional collaborative forecasting and judgment: Preset composite condition trigger: The control system identifies (C zone cooling system status = fault) and (unit output power > 80% of rated power).

[0108] Coordination Logic: At high power, the converter is a huge heat source. Failure of its cooling system is a major malfunction; the temperature can rise rapidly to dangerous levels within minutes, causing expensive components such as IGBT modules to burn out. Waiting for the temperature to exceed limits before reacting is too late. Control must be implemented at the source, namely, at the power source.

[0109] Level Adjustment: Based on this major risk prediction, the system ignores the L1 basic level of all areas and directly raises the coordinated response level of the entire unit (or at least the A and C areas with the highest correlation) to L4 (preventive derating operation level).

[0110] Final Response and Execution: The unit's final response level is L4. The controller immediately issues a derating command to the main turbine controller, limiting the output power to a safe low level (e.g., 30%), thereby significantly reducing heat generation in Zone C, buying time for maintenance, and preventing hardware damage.

[0111] Example 4: Synergistic Energy-Saving Heating Based on Low-Temperature Conditions Scenario description: The unit is started up from a cold state in extremely cold winter weather.

[0112] State parameters: Zone B (gearbox): The lubricating oil temperature is far below the minimum allowable starting value, and the oil viscosity is too high.

[0113] Zones A and C: They are also at low temperatures, but will soon begin operating and generating heat.

[0114] Independent assessment results (basic response level): Due to the excessively low temperature in Zone B, its basic response level was assessed as L3 (high-intensity active intervention), requiring the electric heater to be activated.

[0115] Areas A and C are designated as L1.

[0116] Cross-regional collaborative forecasting and judgment: Preset composite conditions trigger: The control system recognizes (basic response level of area B ≥ L2 and the action is heating) and (external ambient temperature < -20 degrees Celsius) and (the unit is about to be connected to the grid or is already operating at low power).

[0117] Collaborative Logic: The waste heat generated in zones A and C during operation serves as an additional heat source. Directly using the electric heater in zone B would consume a significant amount of plant power, reducing power generation efficiency. The waste heat from zones A and C can be used to preheat zone B.

[0118] Level Adjustment: The coordinated response level of Zone B remains at L3, but its associated control commands have been modified. Simultaneously, the coordinated response level of Zones A and C is raised to L2, associated with the "Heat Dispatch" command.

[0119] Final Response and Execution: The final response level for Zone B is L3, but the controller will not immediately activate its high-power electric heater. Instead, it will instruct the air circulation ducts or heat exchange loops connecting each zone to open. Zones A and C respond to the L2 command, coordinating heat removal. The system monitors the heating rate of Zone B and only activates its electric heater as a supplement when waste heat is insufficient to meet requirements. This achieves cross-zone energy cascade utilization.

[0120] Example 5: Systematic Degradation Based on Multi-Region Alarms Scenario description: The unit operates under harsh conditions for an extended period of time, with multiple systems under high load.

[0121] State parameters: Zone A (Generator): Bearing temperature triggered alarm.

[0122] Zone B (Gearbox): Lubricating oil temperature triggered alarm.

[0123] Zone C (Inverter): Temperature is approaching the alarm threshold.

[0124] Independent assessment results (basic response level): The basic response level for area A is L3.

[0125] The basic response level for area B is L3.

[0126] The basic response level for area C is L2.

[0127] Cross-regional collaborative forecasting and judgment: Preset composite condition trigger: The control system identifies (the number of regions at the L3 level is ≥ 2).

[0128] Synergistic Logic: When two or more major functional areas simultaneously enter L3 (high-intensity intervention level) state, it indicates that the overall thermal balance of the unit has been disrupted, and the cooling system has reached or is nearing its capacity limit. This is a precursor to systemic thermal runaway. Even if individual components have not yet reached the conditions to trigger L4, the risk to the entire system has accumulated to the point where degraded operation is necessary.

[0129] Level adjustment: The collaborative decision-making module will uniformly upgrade the collaborative response level of the entire unit to L4 (preventive derating operation level).

[0130] Final Response and Execution: The final response level for the unit is L4. The controller immediately implements capacity reduction, which reduces the overall heat load, allowing the temperature in Zones A and B to be effectively controlled by their cooling systems and preventing further deterioration in Zone C, thereby bringing the entire unit back to a safe and controllable operating range.

[0131] The following describes the wind turbine operating temperature control method based on regional collaborative prediction provided by the present invention in the form of a complete embodiment.

[0132] 1. Initial state (winter night, standby): The unit is in standby mode, with an external temperature of -20 degrees Celsius, and the overall system is in L1 mode. The system monitors the lubricating oil temperature in zone B to be -10 degrees Celsius, which is below the minimum start-up requirement. Zone B is designated as having L3 heating requirements. The system checks zones A and C and finds no residual heat available, approving the start of the electric heater in zone B. The instruction execution module issues the command.

[0133] 2. Start-up and power ramp-up phase: The wind speed has reached the cut-in speed, and the main control unit is ready to start. The oil temperature in Zone B has risen to 10 degrees Celsius, meeting the requirements. The unit begins grid connection, and the power output climbs from 0 to 70%. The system monitors a rapid increase in power and current in Zones A (generator) and C (converter). The collaborative decision-making process is triggered, predicting a significant temperature rise in Zone C. Although the current temperature in Zone C is still low, the module still elevates its collaborative response level to L2. Therefore, the final response level is L2, and the instruction execution module increases the speed of the cooling fan in Zone C in advance for pre-cooling.

[0134] 3. High-load operation and fault simulation phase: The generator unit was operating stably at 100% power, and the outside temperature rose to 35 degrees Celsius. Due to the high load and high temperature environment, the stator temperature of Zone A (generator) reached 98 degrees Celsius, triggering L3 high-intensity intervention, and its liquid cooling system operated at full power. At this time, the system suddenly received a fault alarm for the main water pump of the liquid cooling system in Zone A. The system immediately made a comprehensive judgment: "critical component (main water pump) failure" + "generator unit operating at full power" + "Zone A is already in a high-temperature state" = extremely high risk. The overall response level of the unit was immediately raised to L4, and a 50% capacity reduction command was issued to the main control.

[0135] 4. Systemic risk response and ultimate protection: Despite a 50% capacity reduction, the temperature in Zone A continued to rise slowly due to main water pump failure and limited backup cooling capacity. Simultaneously, due to the poor heat dissipation environment, the temperature in Zone C (converter) also exceeded the warning threshold, entering Level 3. The system detected that both Zones A and C were simultaneously in Level 3 or higher alarm states, determining that the unit was facing systemic thermal runaway. The system escalated the overall unit response level to Level 5 (protective emergency shutdown level). A highest-priority shutdown command was issued, and the unit shut down according to the preset safety procedures, preventing a major accident involving generator burnout and converter damage.

[0136] As can be seen from the above embodiments, the method of the present invention can make intelligent, collaborative and forward-looking decisions based on information from multiple regions at different stages according to changes in the internal and external environment of the unit, realizing a smooth transition and decisive intervention from L1 to L5 levels, which greatly improves the safety, reliability and efficiency of wind turbine operation.

[0137] In summary, in the wind turbine operating temperature control method based on regional collaborative prediction provided by this invention: 1. It achieves proactive and predictive management, eliminating thermal response hysteresis. Traditional temperature control systems typically operate on a reactive model, waiting for the temperature to exceed a threshold before initiating powerful cooling or heating. This exhibits significant hysteresis, potentially causing components to experience excessive thermal stress within a short period. This invention addresses this by employing cross-regional collaborative predictive judgment. For example, when a generator load is detected as about to increase, it pre-instructs the converter cooling system to begin pre-adjustment. This approach effectively eliminates thermal response hysteresis, ensuring that the temperature of heat-sensitive components remains within a more ideal and stable range, preventing large temperature fluctuations.

[0138] 2. It achieves global optimization and refined management, improving control efficiency. This invention, through functional area division, treats the entire cabin as a collaboratively manageable organic whole, rather than a collection of multiple unrelated components. When a heat problem occurs in a certain area, the system no longer simply activates the maximum power cooling for that area, but instead performs a global assessment. For example, in the case of resource sharing, cooling resources can be intelligently allocated, prioritizing core components while taking compensatory measures for secondary components. This global resource allocation makes control actions more precise and resource utilization more efficient.

[0139] 3. Significantly improved the reliability and security of system operation. This invention establishes a multi-level risk response mechanism. On the one hand, when a critical cooling component (such as a converter fan) fails, the system no longer passively waits for the temperature to exceed the limit, but proactively conducts a risk assessment and decisively executes the "preventive derating operation level (L4)," reducing heat generation at the source and avoiding major accidents caused by heat dissipation failure leading to the burnout of critical components. On the other hand, when multiple areas simultaneously trigger alarms (e.g., two or more areas entering the L3 high-intensity intervention state level), the system determines that this may indicate a systemic risk, thereby immediately triggering derating. This mechanism greatly enhances the unit's ability to cope with complex faults and extreme operating conditions, effectively ensuring asset and personnel safety.

[0140] 4. Improved energy efficiency and reduced unit operating costs. The collaborative control logic of this invention can directly bring economic benefits. For example, in low-temperature winter conditions, when the gearbox lubricating oil needs heating, the system will prioritize the use of waste heat generated by the generator or converter for auxiliary heating, rather than directly starting the high-power electric heater. This recycling of internal energy directly reduces the energy consumption of the unit's auxiliary equipment. Similarly, through predictive regulation and refined control, unnecessary full-power operation of the cooling system can be avoided, thereby effectively reducing the overall operating cost of the unit.

[0141] On the other hand, the present invention also provides a wind turbine operating temperature control system based on regional collaborative prediction, comprising: The zone division module is used to divide the interior of the wind turbine nacelle into zones according to the functions of heat sources and heat-sensitive components, resulting in at least two functional zones. The data acquisition module is used to collect the operating status parameters of each functional area in real time; The status assessment module is used to perform independent internal status assessments for each functional area and determine the basic response level of each functional area based on the comparison results between the operating status parameters of each functional area and the preset single-area threshold. The collaborative decision-making module is used to adjust the basic response level based on the operating status parameters of all functional areas and preset cross-regional composite conditions to obtain the collaborative response level. The instruction execution module is used to take the higher of the basic response level and the cooperative response level as the final response level of the corresponding functional area, and to execute the corresponding temperature control operation according to the final response level.

[0142] Furthermore, this system and the method described above can be referenced interchangeably.

[0143] Figure 3 An example is a schematic diagram of the physical structure of an electronic device, such as... Figure 3 As shown, the electronic device may include a processor 810, a communications interface 820, a memory 830, and a communication bus 840, wherein the processor 810, communications interface 820, and memory 830 communicate with each other via the communication bus 840. The processor 810 can call logical instructions in the memory 830 to execute the wind turbine operating temperature control method based on regional collaborative prediction as described above.

[0144] Furthermore, the logical instructions in the aforementioned memory 830 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0145] On the other hand, the present invention also provides a computer program product, which includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer is able to execute the wind turbine operating temperature control method based on regional collaborative prediction provided by the above methods.

[0146] In another aspect, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to perform the wind turbine operating temperature control method based on regional collaborative prediction provided by the above methods.

[0147] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0148] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0149] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for controlling the operating temperature of wind turbine units based on regional collaborative prediction, characterized in that, include: The interior of the wind turbine nacelle is divided into zones according to the functions of heat sources and heat-sensitive components, resulting in at least two functional zones. Real-time acquisition of operating status parameters for each of the aforementioned functional areas; Each functional region is independently evaluated for its internal state, and the basic response level of each functional region is determined based on the comparison between the operating state parameters of each functional region and the preset single-region threshold. Based on the operating status parameters of all the functional areas and the preset cross-regional composite conditions, the basic response level is adjusted to obtain the collaborative response level. The higher of the basic response level and the collaborative response level is taken as the final response level of the corresponding functional area, and the corresponding temperature control operation is performed according to the final response level.

2. The wind turbine operating temperature control method according to claim 1, characterized in that, In the step of dividing the interior of the wind turbine nacelle into at least two functional areas according to the functions of heat sources and heat-sensitive components, the obtained functional areas include: The generator system area includes the generator stator, generator rotor, and corresponding bearing components; The gearbox and transmission chain area includes the gearbox, main bearing and lubrication system; The converter and electrical control area includes converters and control cabinets.

3. The wind turbine operating temperature control method according to claim 2, characterized in that, Also includes: Multiple response levels are pre-defined, ranging from low to high. These response levels include at least a health monitoring and trend warning level, a refined dynamic adjustment level, a high-intensity proactive intervention level, a preventive capacity reduction operation level, and a protective emergency shutdown level.

4. The wind turbine operating temperature control method according to claim 3, characterized in that, In the step of real-time acquisition of the operating status parameters of each of the functional areas, the acquired operating status parameters include at least: Temperature values, temperature change rate, current operating load or power level of the unit, operating status of the cooling or heating system of the functional area, and ambient temperature outside the cabin are all measured at key points in each functional area.

5. The wind turbine operating temperature control method according to claim 4, characterized in that, The step of adjusting the basic response level based on the operating status parameters of all functional regions and preset cross-regional composite conditions to obtain a collaborative response level includes: When the operating load of the generator system area is detected to be increasing, it is predicted that the heat generated in the converter and electrical control area will increase, thereby raising the response level of the converter and electrical control area in advance to start the pre-cooling operation.

6. The wind turbine operating temperature control method according to claim 4, characterized in that, The step of adjusting the basic response level based on the operating status parameters of all functional regions and preset cross-regional composite conditions to obtain a collaborative response level includes: When any of the functional areas enters the high-intensity active intervention level and shares cooling or heating resources with another functional area, the resource needs of the first functional area are guaranteed first, and compensatory measures are taken for the other functional area.

7. The wind turbine operating temperature control method according to claim 4, characterized in that, The step of adjusting the basic response level based on the operating status parameters of all functional regions and preset cross-regional composite conditions to obtain a collaborative response level includes: When the cooling or heating system of any of the functional areas fails, the potential risk is assessed based on the unit's current operating load, and the unit's response level is raised in advance to execute the preventive derating operation level before the temperature of the functional area reaches the alarm threshold.

8. The wind turbine operating temperature control method according to claim 4, characterized in that, The step of adjusting the basic response level based on the operating status parameters of all functional regions and preset cross-regional composite conditions to obtain a collaborative response level includes: When at least two of the functional areas are simultaneously at the high-intensity active intervention level, the overall response level of the unit is raised to the preventive derating operation level.

9. The wind turbine operating temperature control method according to claim 4, characterized in that, The step of adjusting the basic response level based on the operating status parameters of all functional regions and preset cross-regional composite conditions to obtain a collaborative response level includes: Under low-temperature conditions, when any of the functional areas needs to be heated, it is determined whether there is available waste heat in the other functional areas, and the waste heat is prioritized to coordinate heating of the functional area that needs to be heated.

10. A wind turbine operating temperature control system based on regional collaborative prediction, characterized in that, include: The area division module is used to divide the interior of the wind turbine nacelle into areas according to the functions of heat sources and heat-sensitive components, resulting in at least two functional areas. The data acquisition module is used to collect the operating status parameters of each of the functional areas in real time; The status assessment module is used to perform independent internal status assessment for each functional area, and determine the basic response level of each functional area based on the comparison results of the operating status parameters of each functional area and the preset single-area threshold. The collaborative decision-making module is used to adjust the basic response level based on the operating status parameters of all the functional areas and preset cross-regional composite conditions to obtain a collaborative response level. The instruction execution module is used to take the higher of the basic response level and the cooperative response level as the final response level of the corresponding functional area, and to execute the corresponding temperature control operation according to the final response level.

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