A wind farm power coordination control method and device considering safety

Abstract

This invention provides a wind farm power coordination control method and apparatus considering safety, relating to the field of wind farm power coordination control technology. The coordination control method includes the following steps: acquiring real-time environmental data and equipment status data around the wind turbine, preprocessing the environmental parameters and equipment status parameters, establishing an adaptive control model based on the processed data and the theoretical power output formula of the wind turbine, setting the output power of the wind turbine, and automatically triggering an alarm when the power exceeds a safety threshold, immediately adjusting the power output of the wind turbine or adjusting the angle of the wind turbine blades. After the wind turbine is shut down, the system determines whether normal operation can be resumed based on safety factor information. This method can monitor the operating status of the wind turbine in real time, dynamically adjust the output power, effectively reduce the risk of equipment failure, and optimize the stability and safety of wind power generation.

Description

Technical Field

[0001] This invention relates to the field of wind farm power coordination control technology, specifically to a wind farm power coordination control method and device that takes safety into consideration. Background Technology

[0002] In recent years, wind farm power coordination control systems have attracted much attention due to their importance in the renewable energy sector. However, existing technologies still have significant shortcomings when facing complex dynamic environments and safety risks. First, many wind farm power control systems rely on traditional power control methods, making it difficult for wind farms to respond quickly in unexpected situations, such as sudden weather changes or equipment failures, often leading to unstable power supply or overload risks. Therefore, there is an urgent need for a new wind farm power coordination control method that can sense the field conditions in real time and flexibly adjust control strategies according to actual conditions to achieve safer and more efficient power output.

[0003] In the prior art, patent CN111682592A discloses a method and device for power optimization in distributed wind farms. This system mainly uses optimization algorithms to dynamically adjust the output power of wind turbine generators. However, the operating environment of wind farms is not always fixed. Different weather conditions, wind speed changes, and fluctuations in equipment performance can all affect the output efficiency and safety of wind turbine generators. Furthermore, in the face of high wind speeds or faults, traditional power control methods often cannot respond in time, leading to wind turbine generators operating in an overloaded or inefficient state, thereby affecting the overall economic efficiency and safety of the wind farm.

[0004] Therefore, relying solely on traditional power control methods for wind farm power coordination control not only affects the reliability of power dispatch but may also cause wind farms to lose their operational safety under extreme conditions. This necessitates the development of a wind farm power coordination control method and device that comprehensively considers both safety and flexibility, in order to better cope with changing operating environments and potential safety risks, and ensure the stable and efficient operation of wind farms.

[0005] The information disclosed in the background section is only intended to enhance the understanding of the background of this disclosure, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0006] The purpose of this invention is to provide a wind farm power coordination control method and apparatus that takes safety into consideration, so as to solve the problems mentioned in the background art.

[0007] To achieve the above objectives, the present invention provides the following technical solution:

[0008] A wind farm power coordination control method considering safety, comprising the following steps:

[0009] Step 1: Real-time acquisition of ambient wind speed, temperature, and vibration amplitude data during wind turbine operation; use mean filtering to clean the collected data; and use standard deviation detection to identify outliers after cleaning.

[0010] Step 2: Based on the wind speed, temperature, and vibration amplitude data after cleaning, and with the theoretical power output formula of the wind turbine, establish an adaptive control model, apply the processed data to the adaptive control model, and set the output power of the wind turbine.

[0011] Step 3: When the power exceeds the safety threshold, an alarm is triggered. Once the alarm is triggered, the power output of the wind turbine is automatically adjusted.

[0012] Step 4: If the alarm does not stop after limiting the wind turbine power, adjust the wind turbine blade angle to reduce the amount of air captured by the turbine, thereby reducing the rotation speed and power output.

[0013] Step 5: After the wind turbine is shut down, determine whether it can be resumed operation based on the safety factor information;

[0014] Furthermore, the formula for cleaning the collected data using the mean filtering method is as follows:

[0015]

[0016] in, The data is the result of the nth filtering pass, where N is the size of the filtering window. This is the raw data collected for the nth time.

[0017] Furthermore, the standard deviation detection method is used to identify outliers after cleaning; the formula is as follows:

[0018]

[0019] in, These are standard scores used to determine whether a value is an outlier. For the current data point, The mean of the dataset; If the standard deviation of the dataset is If the value is not found, then the data is considered an outlier.

[0020] Furthermore, the theoretical power output formula for the wind turbine unit based on the adaptive model is as follows:

[0021]

[0022] in, Theoretical power; This is the density of air, which typically changes with temperature; The swept area of ​​the fan; The power factor depends on the fan design and wind speed; Wind speed;

[0023] When temperature Changes in air density Affected by temperature The impact is calculated using the following formula:

[0024]

[0025] in, Standard atmospheric pressure; The gas constant is For temperature;

[0026] When the vibration amplitude Changes in the amplitude of vibration affect the operation of the fan. Impact, add correction factor The formula is:

[0027]

[0028] in, This is the vibration influence coefficient. ; for Vibration amplitude;

[0029] Taking into account the effects of temperature and vibration amplitude changes on wind turbine power, the power output formula of the wind turbine in the adaptive control model is as follows:

[0030]

[0031] Furthermore, when power is monitored Exceeding the safety threshold If an alarm is triggered, the power output of the wind turbine will be automatically adjusted using the following formula:

[0032] when

[0033]

[0034]

[0035] in, The adjusted power; This is the power adjustment coefficient; The degree to which power exceeds the safety threshold is represented by the power safety factor.

[0036] Furthermore, if the alarm does not stop after limiting the wind turbine power, the formula for adjusting the wind turbine blade angle is:

[0037]

[0038] in, To adjust the angle of the front blade, To adjust the blade angle, Adjust the sensitivity coefficient for blade angle;

[0039] In cases where the automatic response is ineffective or in extreme situations, the operator needs to intervene manually by pressing the emergency stop button.

[0040] Furthermore, after the wind turbine is shut down, a safety factor is used to determine whether it can be resumed. This safety factor includes the temperature safety factor, power safety factor, and vibration amplitude safety factor prior to shutdown. The formula for determining whether resumption is possible is as follows:

[0041]

[0042] in, The degree to which power exceeds the safety threshold; the power safety factor. The degree to which the temperature exceeds the safe threshold; the temperature safety factor. The degree to which the vibration amplitude exceeds the safety threshold; the vibration amplitude safety factor.

[0043] if , , Then it can be restored to operation; if , , Then it cannot be restored to operation.

[0044] Furthermore, when the safety factor information determines that operation can be restored, power, temperature, and vibration amplitude are monitored in real time to ensure they remain within safe limits, using dynamic monitoring indicators. :

[0045]

[0046] in, This is the reference value for normal power before restoration; This refers to the normal temperature reference value before recovery; The reference value for the normal vibration amplitude before recovery;

[0047] When dynamic monitoring indicators Less than the threshold If the recovery process is normal and operation can continue, then the dynamic monitoring indicators should be checked. Greater than the threshold During the recovery process, an abnormality occurred, and operation was stopped. The components of the wind turbine were then inspected.

[0048] Compared with existing technologies, the beneficial effects of this invention are as follows: This solution significantly improves the power generation efficiency and stability of wind farms under different operating environments by employing adaptive control algorithms and multivariable collaborative control mechanisms. Specifically, the system can respond in real time to changes in wind speed and equipment parameters, optimizing the power output of the wind turbine, thereby maintaining high power generation capacity under various external environmental changes. Compared with existing technologies, this solution reduces wind turbine power fluctuations by coordinating multiple parameters, enhancing grid stability and reducing negative impacts on grid operation. Furthermore, a safety early warning mechanism monitors the wind turbine's operating status in real time, promptly identifying and responding to potential fault risks, thereby effectively reducing the probability of equipment overload and damage. Through these fault prevention strategies, the failure rate of wind turbines is significantly reduced, and maintenance and downtime costs are effectively controlled. The implementation of this innovative technology not only improves the operating efficiency of wind farms but also enhances their safety and economy in variable environments, meeting the growing market demand for renewable energy.

[0049] This invention also provides a wind farm power coordination control device that takes safety into consideration, specifically comprising the following modules:

[0050] Data Acquisition Module: Real-time acquisition of ambient wind speed, temperature, and vibration amplitude data during wind turbine operation; uses mean filtering to clean the acquired data; and uses standard deviation detection to identify outliers after cleaning.

[0051] Central processing unit module: Based on the wind speed, temperature and vibration amplitude data after cleaning, an adaptive control model is established, and the processed data is applied to the adaptive control model to set the output power of the wind turbine.

[0052] Power output module: When the power exceeds the safety threshold, an alarm is triggered. Once the alarm is triggered, the system will simultaneously monitor the temperature and amplitude and automatically adjust the power output of the wind turbine.

[0053] Blade angle adjustment module: If the alarm does not stop after limiting the power of the wind turbine, adjust the blade angle of the wind turbine to reduce the amount of air captured by the wind turbine, thereby reducing the rotation speed and power output;

[0054] Shutdown recovery module: When the wind turbine is shut down, it determines whether it can resume operation based on the safety factor information. Attached Figure Description

[0055] Figure 1 This is a schematic diagram of the overall method flow of the present invention;

[0056] Figure 2 This is a schematic diagram of the overall device design of the present invention. Detailed Implementation

[0057] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to specific embodiments.

[0058] It should be noted that, unless otherwise defined, the technical or scientific terms used in this invention should have the ordinary meaning understood by one of ordinary skill in the art to which this invention pertains. The terms "first," "second," and similar terms used in this invention do not indicate any order, quantity, or importance, but are merely used to distinguish different components. Terms such as "comprising" or "including" mean that the element or object preceding the word encompasses the elements or objects listed following the word and their equivalents, without excluding other elements or objects. Terms such as "connected" or "linked" are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect. Terms such as "upper," "lower," "left," and "right" are used only to indicate relative positional relationships; when the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0059] Example:

[0060] Please see Figure 1 The present invention provides a technical solution:

[0061] A wind farm power coordination control method considering safety, comprising the following steps:

[0062] Step 1: Real-time acquisition of ambient wind speed, temperature, and vibration amplitude data during wind turbine operation; use mean filtering to clean the collected data; and use standard deviation detection to identify outliers after cleaning.

[0063] The formula for cleaning the collected data using the mean filtering method is as follows:

[0064]

[0065] in, The data is the result of the nth filtering pass, where N is the size of the filtering window. This is the raw data collected for the nth time.

[0066] The standard deviation detection method is used to identify outliers after cleaning; the formula is as follows:

[0067]

[0068] in, These are standard scores used to determine whether a value is an outlier. For the current data point, The mean of the dataset; Let be the standard deviation of the dataset; if If the data is considered an outlier, then the data is considered an outlier. If the value is not an outlier, then the data is considered not to be an outlier.

[0069] It should be noted that data on ambient wind speed, temperature, and vibration amplitude are acquired through equipment installed on the wind turbine during operation; these devices include the following:

[0070] Wind speed monitoring sensor: The wind speed sensor continuously monitors wind speed changes and provides real-time data to help optimize wind turbine operation. It records historical wind speed data to support long-term wind resource assessment and analysis.

[0071] Temperature monitoring sensors: These sensors monitor external and internal temperature changes of the wind turbine to ensure the equipment operates within a suitable temperature range. By monitoring temperature data, overheating issues can be detected promptly, preventing equipment damage. Combined with temperature data, wind turbine operating strategies can be adjusted to improve efficiency. Recording temperature trend data provides a reference for the long-term operation and maintenance of the wind farm.

[0072] Vibration monitoring sensors: These sensors monitor the vibration amplitude of fan components in real time to assess mechanical condition. By analyzing vibration data, potential mechanical faults can be identified, allowing for proactive maintenance and reducing downtime risks. Continuous monitoring of equipment status ensures the fan operates under optimal conditions, extending equipment lifespan. Recording vibration data provides a foundation for subsequent fault analysis and performance evaluation.

[0073] Therefore, installing relevant monitoring sensors can help monitor the wind speed, temperature, and vibration amplitude data of wind turbines, thereby adjusting the corresponding output power of wind turbines to ensure the safety and efficiency of wind turbines. Changes in wind speed, temperature, and vibration amplitude data have a direct impact on the power output and stability of wind turbines.

[0074] Step 2: Based on the wind speed, temperature, and vibration amplitude data after cleaning, and with the theoretical power output formula of the wind turbine, establish an adaptive control model, apply the processed data to the adaptive control model, and set the output power of the wind turbine.

[0075] The theoretical power output formula for the wind turbine unit with an adaptive model is as follows:

[0076]

[0077] in, Theoretical power; This is the density of air, which typically changes with temperature; The swept area of ​​the fan; The power factor depends on the fan design and wind speed; Wind speed;

[0078] When temperature Changes in air density Affected by temperature The impact is calculated using the following formula:

[0079]

[0080] in, Standard atmospheric pressure; The gas constant is... For temperature;

[0081] When the vibration amplitude Changes in the amplitude of vibration affect the operation of the fan. Impact, add correction factor The formula is:

[0082]

[0083] in, This is the vibration influence coefficient. ; for Vibration amplitude;

[0084] Taking into account the effects of temperature and vibration amplitude changes on wind turbine power, the power output formula of the wind turbine in the adaptive control model is as follows:

[0085]

[0086] The safety of wind turbine units is affected by temperature, wind speed, and vibration amplitude, mainly in the following aspects:

[0087] Mechanical failure: Wear or fatigue of rotating components in a wind turbine during long-term operation can lead to malfunctions and performance degradation. Furthermore, damaged bearings can cause rotational imbalance, thus affecting the overall performance and safety of the turbine.

[0088] Electrical faults: Problems in the electrical system that cause short circuits or overloads can lead to equipment damage or fires and other safety accidents.

[0089] Fire hazards: Overheating of internal electronic components and electrical systems in wind turbines could lead to a fire. Combustible materials within the wind farm could ignite under high temperatures or sparks.

[0090] Geological and structural issues: If the foundation of a wind turbine changes due to geological reasons, it may cause the wind turbine to tilt or collapse;

[0091] Therefore, by combining temperature, wind speed, and vibration amplitude data, adjusting the power output of the wind turbine in the adaptive control model can maintain the stable operation of the wind turbine.

[0092] Step 3: When the power exceeds the safety threshold, an alarm is triggered. Once the alarm is triggered, the power output of the wind turbine is automatically adjusted.

[0093] When power is detected Exceeding the safety threshold If an alarm is triggered, the power output of the wind turbine will be automatically adjusted using the following formula:

[0094] when

[0095]

[0096]

[0097] in, The adjusted power; This is the power adjustment coefficient; The degree to which power exceeds the safety threshold, where is the power safety factor. When When the power exceeds the safety threshold, an alarm is triggered; when When the power is at the safe threshold point; when When the power is less than the safety threshold, normal operation is maintained.

[0098] Step 4: If the alarm does not stop after limiting the wind turbine power, adjust the wind turbine blade angle to reduce the amount of air captured by the turbine, thereby reducing the rotation speed and power output.

[0099] If the alarm persists after limiting the wind turbine's power, the formula for adjusting the wind turbine blade angle is:

[0100]

[0101] in, To adjust the angle of the front blade, To adjust the blade angle, Adjust the sensitivity coefficient for blade angle;

[0102] The blade angle of a wind turbine can be adjusted to change its frontal area and aerodynamic characteristics. By changing the blade pitch angle—the angle between the blade and the wind—the efficiency of the turbine in capturing wind energy and its output power can be controlled. At excessively high wind speeds, wind turbines may be at risk of overload, which can lead to mechanical damage or loss of control. Adjusting the blade angle to increase the pitch angle reduces the frontal area of ​​the blades, thereby reducing the turbine's output power and speed, protecting the unit. In cases where the automatic response is ineffective or in extreme situations, manual intervention by pressing the emergency stop button is required.

[0103] Therefore, adjusting the wind turbine blade angle can further protect the wind turbine if the alarm does not stop after limiting the wind turbine power.

[0104] Step 5: After the wind turbine is shut down, determine whether it can be resumed operation based on the safety factor information;

[0105] When a wind turbine is shut down, its ability to resume operation is determined based on safety factor information. This safety factor information includes the temperature safety factor, power safety factor, and vibration amplitude safety factor prior to shutdown. The formula for determining whether resumption is possible is as follows:

[0106]

[0107] in, The degree to which power exceeds the safety threshold; the power safety factor. The degree to which the temperature exceeds the safe threshold; the temperature safety factor. The degree to which the vibration amplitude exceeds the safety threshold; the vibration amplitude safety factor.

[0108] if , , Then it can be restored to operation; if , , Then it cannot be restored to operation.

[0109] Once the safety factor information indicates that operation can resume, power, temperature, and vibration amplitude are monitored in real time to ensure they remain within safe limits, using dynamic monitoring indicators. :

[0110]

[0111] in, This is the reference value for normal power before restoration; This refers to the normal temperature reference value before recovery; The reference value for the normal vibration amplitude before recovery;

[0112] When dynamic monitoring indicators Less than the threshold If the recovery process is normal and operation can continue, then the dynamic monitoring indicators should be checked. Greater than the threshold During the recovery process, an abnormality occurred, and operation was stopped. The components of the wind turbine were then inspected.

[0113] Please see Figure 2 The present invention provides a technical solution:

[0114] A wind farm power coordination control device with safety considerations includes a data acquisition module, a central processing unit module, a power output module, a blade angle adjustment module, and a shutdown recovery module.

[0115] Data Acquisition Module: Real-time acquisition of ambient wind speed, temperature, and vibration amplitude data during wind turbine operation; uses mean filtering to clean the acquired data; and uses standard deviation detection to identify outliers after cleaning.

[0116] Central processing unit module: Based on the wind speed, temperature and vibration amplitude data after cleaning, an adaptive control model is established, and the processed data is applied to the adaptive control model to set the output power of the wind turbine.

[0117] Power output module: When the power exceeds the safety threshold, an alarm is triggered. Once the alarm is triggered, the system will simultaneously monitor the temperature and amplitude and automatically adjust the power output of the wind turbine.

[0118] Blade angle adjustment module: If the alarm does not stop after limiting the power of the wind turbine, adjust the blade angle of the wind turbine to reduce the amount of air captured by the wind turbine, thereby reducing the rotation speed and power output;

[0119] Shutdown recovery module: When the wind turbine is shut down, it determines whether it can resume operation based on the safety factor information.

[0120] The above formulas are all dimensionless calculations. The formulas are derived from software simulations based on a large amount of collected data to obtain the most recent real-world results. The preset parameters in the formulas are set by those skilled in the art according to the actual situation.

[0121] The above embodiments can be implemented, in whole or in part, by software, hardware, firmware, or any other combination thereof. When implemented in software, the above embodiments can be implemented, in whole or in part, as a computer program product. Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution.

[0122] 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; they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment, depending on actual needs.

[0123] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application.

Claims

1. A wind farm power coordination control method considering safety, characterized in that, The specific steps include: Step 1: Real-time acquisition of ambient wind speed, temperature, and vibration amplitude data during wind turbine operation; use mean filtering to clean the collected data; and use standard deviation detection to identify outliers after cleaning. Step 2: Based on the wind speed, temperature, and vibration amplitude data after cleaning, and with the theoretical power output formula of the wind turbine, establish an adaptive control model, apply the processed data to the adaptive control model, and set the output power of the wind turbine. Step 3: When the power exceeds the safety threshold, an alarm is triggered. Once the alarm is triggered, the power output of the wind turbine is automatically adjusted. Step 4: If the alarm does not stop after limiting the wind turbine power, adjust the wind turbine blade angle to reduce the amount of air captured by the turbine, thereby reducing the rotation speed and power output. Step 5: After the wind turbine is shut down, determine whether it can be resumed operation based on the safety factor information; The theoretical power output formula for the wind turbine unit with the adaptive model is as follows: in, For theoretical power, For air density, For the swept area of ​​the fan, For power coefficient, Wind speed; where air density is... Affected by temperature The impact is calculated using the following formula: in, Standard atmospheric pressure The gas constant is... The ambient temperature around the wind turbine; the vibration amplitude affecting the operation of the wind turbine. Impact, add correction factor The formula is as follows: in, This is the vibration influence coefficient. for Vibration amplitude; considering the impact of temperature and vibration amplitude changes on wind turbine power, the adaptive control model calculates the wind turbine power. The output formula is: 。 2. The wind farm power coordination control method considering safety according to claim 1, characterized in that: The formula for cleaning the collected data using the mean filtering method is as follows: in, The data is the result of the nth filtering pass, where N is the size of the filtering window. This is the raw data collected for the nth time.

3. The wind farm power coordination control method considering safety according to claim 1, characterized in that: The standard deviation detection method is used to identify outliers after cleaning; the formula is as follows: in, These are standard scores used to determine whether a value is an outlier. For the current data point, The mean of the dataset; If the standard deviation of the dataset is , If the threshold for outlier determination is set, then the data is considered an outlier.

4. The wind farm power coordination control method considering safety according to claim 1, characterized in that: When monitoring wind turbine power Exceeding the safety threshold If an alarm is triggered, the power output of the wind turbine will be automatically adjusted using the following formula: when hour: in, The adjusted power; This is the power adjustment coefficient; The degree to which the power exceeds the safe threshold, i.e. This is the power safety factor.

5. A wind farm power coordination control method considering safety according to claim 1, characterized in that: If the alarm persists after limiting the wind turbine's power, the formula for adjusting the wind turbine blade angle is: in, To adjust the angle of the front blade, To adjust the blade angle, Adjust the sensitivity coefficient for blade angle; In cases where the automatic response is ineffective or in extreme situations, the operator needs to intervene manually by pressing the emergency stop button.

6. The wind farm power coordination control method considering safety according to claim 1, characterized in that: When a wind turbine is shut down, its ability to resume operation is determined based on safety factor information. This safety factor information includes the temperature safety factor, power safety factor, and vibration amplitude safety factor prior to shutdown. The formula for determining whether resumption is possible is as follows: in, The degree to which the power exceeds the safe threshold. For wind turbine power, Power safety factor; The degree to which the temperature exceeds the safe threshold. The ambient temperature around the wind turbine. Temperature safety factor; The degree to which the vibration amplitude exceeds the safety threshold. The vibration amplitude of the wind turbine unit. This is the maximum permissible vibration amplitude of the wind turbine; if , , Then it can be restored to operation; if , , Then it cannot be restored to operation.

7. A wind farm power coordination control method considering safety according to claim 6, characterized in that: Once the safety factor information indicates that operation can resume, power, temperature, and vibration amplitude are monitored in real time to ensure they remain within safe limits, using dynamic monitoring indicators. : in, For wind turbine power, This is the reference value for normal power before restoration; The ambient temperature around the wind turbine. This refers to the normal temperature reference value before recovery; The reference value for the normal vibration amplitude before recovery; When dynamic monitoring indicators Less than the threshold If the recovery process is normal and operation can continue, then the dynamic monitoring indicators should be checked. Greater than the threshold During the recovery process, an abnormality occurred, and operation was stopped. The components of the wind turbine were then inspected.

8. A wind farm power coordination control device considering safety, characterized in that, A safety-conscious wind farm power coordination control device is used to execute a safety-conscious wind farm power coordination control method according to any one of claims 1-7, comprising: Data Acquisition Module: Real-time acquisition of ambient wind speed, temperature, and vibration amplitude data during wind turbine operation; uses mean filtering to clean the acquired data; and uses standard deviation detection to identify outliers after cleaning. Central processing unit module: Based on the wind speed, temperature and vibration amplitude data after cleaning, an adaptive control model is established, and the processed data is applied to the adaptive control model to set the output power of the wind turbine. Power output module: When the power exceeds the safety threshold, an alarm is triggered. Once the alarm is triggered, the system will simultaneously monitor the temperature and amplitude and automatically adjust the power output of the wind turbine. Blade angle adjustment module: If the alarm does not stop after limiting the power of the wind turbine, adjust the blade angle of the wind turbine to reduce the amount of air captured by the wind turbine, thereby reducing the rotation speed and power output; Shutdown recovery module: When the wind turbine is shut down, it determines whether it can resume operation based on the safety factor information.

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