An SVG heat dissipation system and method based on power unit temperature closed-loop control

Abstract

The application provides an SVG heat dissipation system and method based on power unit temperature closed-loop control, comprising: an acquisition module, which is used for acquiring a current temperature data change sequence of an SVG, and determining a power unit temperature change sequence according to the current temperature data change sequence; a calculation module, which is used for dividing a wind speed adjustment interval according to the power unit temperature change sequence, evaluating fan rotating speed requirements of each wind speed adjustment interval, and obtaining a fan rotating speed requirement sequence; and a control module, which is used for controlling a fan real-time rotating speed according to the fan rotating speed requirement sequence, and performing closed-loop control on the fan real-time rotating speed according to the fan real-time rotating speed and the power unit temperature change sequence, so that accurate prediction and closed-loop adjustment of the SVG power unit temperature are realized, and the heat dissipation efficiency is improved.

Description

Technical Field

[0001] This invention relates to the field of automation control technology for new energy power plants, and in particular to an SVG heat dissipation system and method based on closed-loop temperature control of power units. Background Technology

[0002] Static Var Generators (SVGs) are core devices in flexible AC transmission systems, widely used in scenarios such as new energy grid connection, electric arc furnace compensation, and regional power grid voltage support. The core actuator of an SVG is its power unit, typically composed of an insulated-gate bipolar transistor (IGBT) and an anti-parallel freewheeling diode. During high-speed switching, these units generate significant conduction and switching losses, leading to a rapid increase in junction temperature. If heat dissipation is insufficient, the junction temperature exceeding the allowable limit will directly cause thermal breakdown failure, seriously threatening the safe operation of the equipment.

[0003] Therefore, how to improve an efficient and reliable heat dissipation system to ensure the long-term stable operation of SVG is a technical problem that urgently needs to be solved by those skilled in the art. Summary of the Invention

[0004] This invention provides an SVG heat dissipation system and method based on closed-loop temperature control of power units, so as to achieve efficient and reliable operation of the SVG heat dissipation system.

[0005] On one hand, the present invention provides an SVG heat dissipation system based on power unit temperature closed-loop control, comprising: The module is used to acquire the current temperature data change sequence of the SVG and determine the power unit temperature change sequence based on the current temperature data change sequence; the module is used to divide the wind speed adjustment interval according to the power unit temperature change sequence, evaluate the fan speed requirement of each wind speed adjustment interval, and obtain the fan speed requirement sequence; the module is used to control the real-time fan speed according to the fan speed requirement sequence and perform closed-loop control of the real-time fan speed according to the real-time fan speed and the power unit temperature change sequence.

[0006] Further, the acquisition module determines the power unit temperature change sequence based on the current temperature data change sequence, including: acquiring historical temperature data of the SVG and the corresponding power unit temperature, wherein the historical temperature data includes historical ambient temperature and historical reactive power output; establishing a training sample set based on the historical temperature data and the corresponding power unit temperature, establishing an initial temperature prediction model, and training the initial temperature prediction model based on the training sample set to obtain a trained temperature prediction model; and inputting the current temperature data change sequence of the SVG into the trained temperature prediction model to obtain the power unit temperature change sequence.

[0007] Furthermore, the calculation module divides the wind speed adjustment interval according to the power unit temperature change sequence, including: dividing the power unit temperature change sequence into intervals to obtain several temperature intervals; determining temperature characteristics based on the power unit temperature change sequence of the temperature intervals; clustering the temperature intervals based on the temperature characteristics; and determining the clustering partition to which the temperature interval belongs based on the clustering results to obtain the wind speed adjustment interval of the temperature interval.

[0008] Further, determining the temperature characteristics based on the power unit temperature change sequence within the temperature range includes: obtaining the average temperature of the power unit temperature change sequence within the wind speed adjustment range, calculating the difference between the average temperature and a preset standard temperature to obtain the temperature difference characteristic; obtaining the current dew point temperature, and performing curve prediction on the power unit temperature change sequence within the wind speed adjustment range based on the least squares method; determining the predicted time for the power unit temperature to reach the dew point temperature based on the curve prediction result, and determining the condensation characteristic based on the predicted time for the power unit temperature to reach the dew point temperature; obtaining adjacent intervals within the wind speed adjustment range, and calculating the absolute value of the difference between the average temperature of the power unit temperature change sequence within the wind speed adjustment range and the adjacent intervals; calculating the average of the absolute values ​​of the corresponding differences between all adjacent intervals within the wind speed adjustment range, and performing an inverse proportional mapping on the average of the absolute values ​​of the corresponding differences between all adjacent intervals to obtain the pressure characteristic; and establishing the temperature characteristic based on the temperature difference characteristic, condensation characteristic, and pressure characteristic.

[0009] Furthermore, the calculation module evaluates the fan speed requirements for each wind speed adjustment range to obtain a fan speed requirement sequence, including: weighted summation of the temperature difference feature, condensation feature, and pressure feature of the temperature characteristics to obtain a comprehensive feature value; obtaining a preset standard feature value; calculating the deviation between the comprehensive feature value and the preset standard feature value for each wind speed adjustment range; determining the fan speed requirements for each wind speed adjustment range based on the deviation between the comprehensive feature value and the preset standard feature value; statistically analyzing the fan speed requirements for all wind speed adjustment ranges; and establishing a fan speed requirement sequence for all wind speed adjustment ranges in chronological order.

[0010] Furthermore, the calculation module evaluates the fan speed requirements for each wind speed adjustment range to obtain a fan speed requirement sequence. This also includes: calculating the absolute value of the difference between any fan speed requirement data in the sequence and the average value of the speed requirements of two adjacent fans; filtering out fan speed requirement data whose absolute value of the difference is greater than a preset allowable threshold as logical conflict data; statistically analyzing all logical conflict data in the fan speed requirement sequence and removing the logical conflict data from the sequence; calculating the average value of the two fan speed requirement data adjacent to the logical conflict data; and filling in the removed logical conflict data based on the average value of the two adjacent fan speed requirement data to obtain a logically verified fan speed requirement sequence.

[0011] Furthermore, the control module controls the real-time speed of the fan according to the fan speed demand sequence, including: collecting the real-time speed of the fan, calculating the deviation value between the real-time speed of the fan and the corresponding fan speed demand sequence, and performing PID control on the real-time speed of the fan according to the deviation value.

[0012] Furthermore, the control module performs closed-loop control of the real-time fan speed based on the real-time fan speed and the temperature change sequence of the power unit, including: obtaining a preset minimum fan speed; when the real-time fan speed is less than the preset minimum fan speed, recording the duration for which the real-time fan speed is less than the preset minimum fan speed; and when the duration is greater than a preset energy-saving time, sending a fan shutdown command.

[0013] Furthermore, the control module performs closed-loop control of the real-time speed of the fan based on the real-time speed of the fan and the temperature change sequence of the power unit, including: real-time monitoring of the temperature change of the power unit, and sending a fan start command when the temperature of the power unit exceeds the preset allowable temperature.

[0014] On the other hand, the present invention also provides an SVG heat dissipation method based on power unit temperature closed-loop control, comprising: The current temperature data change sequence of the SVG is obtained, and the power unit temperature change sequence is determined based on the current temperature data change sequence. The wind speed adjustment interval is divided according to the power unit temperature change sequence, and the fan speed requirement of each wind speed adjustment interval is evaluated to obtain the fan speed requirement sequence. The real-time fan speed is controlled according to the fan speed requirement sequence, and the real-time fan speed is controlled in a closed loop according to the real-time fan speed and the power unit temperature change sequence.

[0015] This invention provides an SVG heat dissipation system and method based on closed-loop control of power unit temperature. The method involves acquiring the current temperature data change sequence of the SVG, determining the power unit temperature change sequence based on this sequence, dividing the fan speed adjustment range according to the power unit temperature change sequence, evaluating the fan speed requirement for each adjustment range, and obtaining the fan speed requirement sequence. The method then controls the real-time fan speed according to the fan speed requirement sequence, performing closed-loop control of the real-time fan speed based on both the real-time fan speed and the power unit temperature change sequence. By comprehensively considering temperature difference, condensation risk, and pressure characteristics representing the thermal stress gradient when controlling the fan speed, the method achieves accurate prediction and closed-loop adjustment of the SVG power unit temperature, effectively improving heat dissipation efficiency. Attached Figure Description

[0016] 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.

[0017] Figure 1 This is a schematic diagram of the structure of an SVG heat dissipation system based on closed-loop temperature control of power units, provided in an embodiment of the present invention. Figure 2 This is a schematic diagram of an SVG heat dissipation system based on closed-loop temperature control of power units, provided in an embodiment of the present invention. Detailed Implementation

[0018] 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.

[0019] It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. Furthermore, in the description of this invention, terms such as "first," "second," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0020] Figure 1 This is a schematic diagram of the structure of an SVG heat dissipation system based on power unit temperature closed-loop control provided in an embodiment of the present invention, including: The acquisition module 101 is used to acquire the current temperature data change sequence of the SVG and determine the power unit temperature change sequence based on the current temperature data change sequence; the calculation module 102 is used to divide the wind speed adjustment interval according to the power unit temperature change sequence, evaluate the fan speed requirement of each wind speed adjustment interval, and obtain the fan speed requirement sequence; the control module 103 is used to control the real-time fan speed according to the fan speed requirement sequence and perform closed-loop control of the real-time fan speed according to the real-time fan speed and the power unit temperature change sequence.

[0021] In this embodiment, the acquisition module 101 collects sensor signals and runs a temperature prediction model to output a power unit temperature change sequence. The calculation module 102 receives the power unit temperature change sequence from the acquisition module 101 and completes interval division, feature extraction, and speed requirement sequence generation. Based on the speed requirement sequence and the real-time speed feedback of the fan, the control module 103 outputs a PWM signal to the fan drive circuit through a PID controller to drive the fan to rotate, while simultaneously executing energy-saving protection closed-loop control logic.

[0022] In some embodiments of this application, the acquisition module 101 determines the power unit temperature change sequence based on the current temperature data change sequence, including: acquiring historical temperature data of the SVG and the corresponding power unit temperature, wherein the historical temperature data includes historical ambient temperature and historical reactive power output; establishing a training sample set based on the historical temperature data and the corresponding power unit temperature, establishing an initial temperature prediction model and training the initial temperature prediction model based on the training sample set to obtain a trained temperature prediction model; and inputting the current temperature data change sequence of the SVG into the trained temperature prediction model to obtain the power unit temperature change sequence.

[0023] In this embodiment, the acquisition module 101 includes a data acquisition unit, a model training unit, and an online prediction unit. The data acquisition unit is connected to an environmental sensor and a voltage and current transformer for detecting the reactive power output of the SVG, and is used to synchronously acquire the ambient temperature and reactive power in real time to obtain the current temperature data change sequence. The model training unit uses a long short-term memory recurrent neural network as a temperature prediction model to establish and train the temperature prediction model using historical temperature data. The online prediction unit loads the trained temperature prediction model, inputs the current temperature data change sequence, and outputs the power unit temperature change sequence within a preset time domain in the future.

[0024] In some embodiments of this application, the calculation module 102 divides the wind speed adjustment interval according to the power unit temperature change sequence, including: dividing the power unit temperature change sequence into intervals to obtain several temperature intervals; determining temperature characteristics based on the power unit temperature change sequence of the temperature intervals, and clustering the temperature intervals based on the temperature characteristics; determining the clustering partition to which the temperature interval belongs based on the clustering results, and obtaining the wind speed adjustment interval of the temperature interval.

[0025] In this embodiment, the calculation module 102 includes an interval division unit, a feature extraction unit, a cluster analysis unit, and a rotational speed calculation unit; the interval division unit receives the power unit temperature change sequence and divides the power unit temperature change sequence into several temperature intervals; the feature extraction unit is used to calculate temperature features for each temperature interval; the cluster analysis unit clusters each temperature interval based on the temperature features and divides each temperature interval into different wind speed adjustment intervals.

[0026] In some embodiments of this application, determining temperature characteristics based on the power unit temperature change sequence within a temperature range includes: obtaining the average temperature of the power unit temperature change sequence within the wind speed adjustment range, calculating the difference between the average temperature and a preset standard temperature to obtain temperature difference characteristics; obtaining the current dew point temperature, and performing curve prediction on the power unit temperature change sequence within the wind speed adjustment range based on the least squares method; determining the predicted time for the power unit temperature to reach the dew point temperature based on the curve prediction result, and determining condensation characteristics based on the predicted time for the power unit temperature to reach the dew point temperature; obtaining adjacent intervals within the wind speed adjustment range, and calculating the absolute value of the difference between the average temperature of the power unit temperature change sequence within the wind speed adjustment range and the adjacent intervals; calculating the average of the absolute values ​​of the corresponding differences between all adjacent intervals within the wind speed adjustment range, and performing an inverse proportional mapping on the average of the absolute values ​​of the corresponding differences between all adjacent intervals to obtain pressure characteristics; and establishing temperature characteristics based on temperature difference characteristics, condensation characteristics, and pressure characteristics.

[0027] In this embodiment, the feature extraction unit calculates the temperature difference feature by: obtaining the average temperature of the power unit temperature change sequence within the wind speed adjustment range, calculating the difference between this average temperature and the preset standard temperature, and generating the temperature difference feature. The condensation feature is obtained by: calculating the current condensation temperature using real-time data from a temperature and humidity sensor, performing polynomial curve fitting on the power unit temperature change sequence within the wind speed adjustment range using the least squares method, predicting the time it takes for the power unit temperature to drop to the condensation temperature based on the fitted curve, and generating the condensation feature based on this predicted time. The pressure feature is obtained by: obtaining the average temperature of the power unit temperature change sequence in adjacent intervals of the wind speed adjustment range, calculating the absolute value of the difference between the average temperature of this interval and the average temperature of the adjacent intervals, and using the inverse proportional mapping result of the average of the absolute values ​​of the corresponding differences in all adjacent intervals as the pressure feature. The pressure feature reflects the change in the required wind speed within the wind speed adjustment range; the faster the change, the more significant the pressure change, and the lower the required fan speed.

[0028] In some embodiments of this application, the calculation module 102 evaluates the fan speed requirements of each wind speed adjustment range to obtain a fan speed requirement sequence, including: weighting and summing the temperature difference characteristics, condensation characteristics, and pressure characteristics of the temperature characteristics to obtain a comprehensive feature value; obtaining a preset standard feature value; calculating the deviation between the comprehensive feature value and the preset standard feature value of the wind speed adjustment range; determining the fan speed requirements of the wind speed adjustment range based on the deviation between the comprehensive feature value and the preset standard feature value; statistically analyzing the fan speed requirements of all wind speed adjustment ranges; and establishing a fan speed requirement sequence of all wind speed adjustment ranges in chronological order.

[0029] In this embodiment, the calculation module 102 further includes a speed calculation unit. The speed calculation unit performs weighted summation of temperature difference characteristics, condensation characteristics and pressure characteristics using the analytic hierarchy process to obtain a comprehensive characteristic value; calculates the deviation between the comprehensive characteristic value and the preset standard characteristic value; determines the fan speed requirement using a direct proportional mapping based on the magnitude of the deviation; and forms a fan speed requirement sequence according to the time sequence of the wind speed adjustment interval.

[0030] In some embodiments of this application, the calculation module 102 evaluates the fan speed requirements of each wind speed adjustment range to obtain a fan speed requirement sequence. The module further includes: calculating the absolute value of the difference between any fan speed requirement data in the fan speed requirement sequence and the average value of the two adjacent fan speed requirements; filtering out fan speed requirement data whose absolute value of the difference is greater than a preset allowable threshold as logical conflict data; statistically analyzing all logical conflict data in the fan speed requirement sequence and removing the logical conflict data from the sequence; calculating the average value of the two fan speed requirement data adjacent to the logical conflict data; and filling in the removed logical conflict data based on the average value of the two adjacent fan speed requirement data to obtain a logically verified fan speed requirement sequence.

[0031] In this embodiment, the calculation module 102 further includes a logic verification unit. The logic verification unit traverses each data point in the wind turbine speed demand sequence, calculates the absolute value of the deviation between the point and the average value of the demand values ​​of the two adjacent points, and if it is greater than the preset allowable threshold, it is determined to be logical conflict data. The logical conflict data is removed from the sequence and the data is filled with the average value of the demand values ​​of the two adjacent points, and the wind turbine speed demand sequence after logic verification is output.

[0032] In some embodiments of this application, the control module 103 controls the real-time speed of the fan according to the fan speed demand sequence, including: collecting the real-time speed of the fan, calculating the deviation value between the real-time speed of the fan and the corresponding fan speed demand sequence, and performing PID control on the real-time speed of the fan according to the deviation value.

[0033] In some embodiments of this application, the control module 103 performs closed-loop control of the real-time fan speed based on the real-time fan speed and the temperature change sequence of the power unit, including: obtaining a preset minimum fan speed; when the real-time fan speed is less than the preset minimum fan speed, recording the duration for which the real-time fan speed is less than the preset minimum fan speed; and when the duration is greater than a preset energy-saving time, sending a fan shutdown command.

[0034] In some embodiments of this application, the control module 103 performs closed-loop control of the real-time speed of the fan based on the real-time speed of the fan and the temperature change sequence of the power unit, including: real-time monitoring of the temperature change of the power unit, and sending a fan start command when the temperature of the power unit is greater than the preset allowable temperature.

[0035] In this embodiment, the control module 103 includes a fan drive controller, a speed feedback unit, a PID controller, and an energy-saving protection logic unit. The fan drive controller controls the fan speed. The speed feedback unit uses a Hall sensor to collect the real-time fan speed. The PID controller uses the speed command corresponding to the current moment in the fan speed demand sequence as the setpoint and the real-time fan speed as the feedback value to perform incremental PID calculation and output the control quantity to the fan drive controller. The energy-saving protection logic unit continuously compares the relationship between the real-time fan speed, the current speed command, and the preset minimum fan speed; when the real-time fan speed is lower than the preset minimum fan speed and the speed command is also lower than the preset minimum fan speed, an energy-saving timer is started; if the duration of this state is greater than the preset energy-saving time, a fan stop command is sent to the fan drive controller, and the fan stops operating; at the same time, the energy-saving protection logic unit continuously receives the measured temperature of the power unit, and once it detects that the measured temperature of the power unit is greater than the preset allowable temperature, it immediately sends a fan start command to resume closed-loop PID control.

[0036] Based on the same general inventive concept, this invention also protects an SVG heat dissipation method based on power unit temperature closed-loop control, comprising: S201, Obtain the current temperature data change sequence of the SVG, and determine the power unit temperature change sequence based on the current temperature data change sequence; S202, divide the wind speed adjustment range according to the power unit temperature change sequence, evaluate the fan speed requirement of each wind speed adjustment range, and obtain the fan speed requirement sequence. S203 controls the real-time speed of the fan according to the fan speed demand sequence, and performs closed-loop control of the real-time speed of the fan according to the real-time speed of the fan and the temperature change sequence of the power unit.

[0037] 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.

[0038] 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. An SVG heat dissipation system based on closed-loop temperature control of power units, characterized in that, include: The acquisition module is used to acquire the current temperature data change sequence of the SVG and determine the power unit temperature change sequence based on the current temperature data change sequence. The calculation module is used to divide the wind speed adjustment interval according to the temperature change sequence of the power unit, evaluate the fan speed requirement of each wind speed adjustment interval, and obtain the fan speed requirement sequence. The control module is used to control the real-time speed of the fan according to the fan speed demand sequence, and to perform closed-loop control of the real-time speed of the fan according to the real-time speed of the fan and the temperature change sequence of the power unit.

2. The SVG heat dissipation system based on power unit temperature closed-loop control according to claim 1, characterized in that, The acquisition module determines the power unit temperature change sequence based on the current temperature data change sequence, including: Acquire historical temperature data of the SVG and the corresponding power unit temperature, wherein the historical temperature data includes historical ambient temperature and historical reactive power output; A training sample set is established based on the historical temperature data and the corresponding power unit temperature. An initial temperature prediction model is established and trained based on the training sample set to obtain a trained temperature prediction model. The current temperature data change sequence of the SVG is input into the trained temperature prediction model to obtain the power unit temperature change sequence.

3. The SVG heat dissipation system based on power unit temperature closed-loop control according to claim 1, characterized in that, The calculation module divides the wind speed adjustment range according to the temperature change sequence of the power unit, including: The temperature change sequence of the power unit is divided into intervals to obtain several temperature intervals; Temperature characteristics are determined based on the temperature change sequence of power units within a temperature range, and the temperature range is clustered based on these temperature characteristics. Based on the clustering results, the clustering partition to which the temperature range belongs is determined, and the wind speed adjustment range of the temperature range is obtained.

4. The SVG heat dissipation system based on power unit temperature closed-loop control according to claim 3, characterized in that, The step of determining temperature characteristics based on the power unit temperature change sequence within a temperature range includes: The average temperature of the power unit temperature change sequence within the wind speed adjustment range is obtained, and the difference between the average temperature and the preset standard temperature is calculated to obtain the temperature difference characteristics. Obtain the current condensation temperature and predict the power unit temperature change sequence within the wind speed adjustment range using the least squares method; The predicted time for the power unit temperature to reach the dew point temperature is determined based on the curve prediction results, and the condensation characteristics are determined based on the predicted time for the power unit temperature to reach the dew point temperature. Obtain the adjacent intervals of the wind speed adjustment interval, and calculate the absolute value of the difference between the average temperature of the power unit temperature change sequence in the wind speed adjustment interval and the adjacent interval; Calculate the average of the absolute values ​​of the corresponding differences between all adjacent intervals in the wind speed adjustment range, and perform an inverse proportional mapping on the average of the absolute values ​​of the corresponding differences between all adjacent intervals to obtain the pressure characteristics; Temperature characteristics are established based on temperature difference characteristics, condensation characteristics, and pressure characteristics.

5. The SVG heat dissipation system based on power unit temperature closed-loop control according to claim 4, characterized in that, The calculation module evaluates the fan speed requirements for each wind speed adjustment range to obtain a fan speed requirement sequence, including: The temperature difference characteristic, condensation characteristic, and pressure characteristic of the temperature feature are weighted and summed to obtain a comprehensive characteristic value; Obtain a preset standard feature value, and calculate the deviation between the comprehensive feature value and the preset standard feature value in the wind speed adjustment range; The fan speed requirements for the wind speed adjustment range are determined based on the deviation between the comprehensive feature value and the preset standard feature value. The fan speed requirements for all wind speed adjustment ranges are statistically analyzed, and a sequence of fan speed requirements for all wind speed adjustment ranges is established in chronological order.

6. The SVG heat dissipation system based on power unit temperature closed-loop control according to claim 5, characterized in that, The calculation module evaluates the fan speed requirements for each wind speed adjustment range to obtain a fan speed requirement sequence, and also includes: Calculate the absolute value of the difference between any fan speed demand data in the fan speed demand sequence and the average value of the fan speed demand of the two adjacent fans, and filter out the fan speed demand data whose absolute value of the difference is greater than the preset allowable threshold as logical conflict data; Collect all logically conflicting data in the wind turbine speed demand sequence and remove the logically conflicting data from the wind turbine speed demand sequence; Calculate the average value of the fan speed demand data of the two adjacent logically conflicting data. Then, fill in the logically conflicting data after removing it based on the average value of the two adjacent logically conflicting data to obtain the logically verified fan speed demand sequence.

7. The SVG heat dissipation system based on power unit temperature closed-loop control according to claim 1, characterized in that, The control module controls the real-time speed of the fan according to the fan speed demand sequence, including: Collect the real-time speed of the fan, calculate the deviation between the real-time speed of the fan and the corresponding fan speed demand sequence, and perform PID control on the real-time speed of the fan based on the deviation.

8. The SVG heat dissipation system based on power unit temperature closed-loop control according to claim 1, characterized in that, The control module performs closed-loop control of the real-time speed of the fan based on the real-time speed of the fan and the temperature change sequence of the power unit, including: Obtain the preset minimum fan speed, and when the real-time fan speed is less than the preset minimum fan speed, record the duration for which the real-time fan speed is less than the preset minimum fan speed; When the duration exceeds the preset energy-saving time, a fan shutdown command is sent.

9. The SVG heat dissipation system based on power unit temperature closed-loop control according to claim 8, characterized in that, The control module performs closed-loop control of the real-time fan speed based on the real-time fan speed and power unit temperature change sequence, including: The system monitors the temperature changes of the power unit in real time, and sends a fan start command when the temperature of the power unit exceeds the preset allowable temperature.

10. An SVG heat dissipation method based on closed-loop temperature control of power units, characterized in that, include: Obtain the current temperature data change sequence of the SVG, and determine the power unit temperature change sequence based on the current temperature data change sequence; The wind speed adjustment range is divided according to the temperature change sequence of the power unit, and the fan speed requirement of each wind speed adjustment range is evaluated to obtain the fan speed requirement sequence. The real-time speed of the fan is controlled according to the fan speed demand sequence, and the real-time speed of the fan is controlled in a closed loop according to the real-time speed of the fan and the temperature change sequence of the power unit.

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