Method and system for controlling auxiliary water cooling system of reactive power compensation device

Abstract

The invention relates to the technical field of power electronic equipment cooling, and discloses a reactive power compensation device auxiliary type water cooling system control method and system, and the method comprises the steps: collecting the oil supply temperature and water cooling system data, and predicting the hot spot formation through a machine learning algorithm; performing temperature diagnosis and formulating a heat dissipation strategy according to a result; temperature data after heat dissipation is tracked and recorded, whether the heat dissipation effect reaches the standard or not is judged, if not, a data updating process is automatically started, and a PLC program and parameters are adjusted. The method can monitor and intelligently control the temperature of the water cooling system in real time so as to prevent the equipment from being overheated, improve the operation efficiency of the equipment and prolong the service life of the equipment. Through cooperation of the modules, intelligent monitoring and control of the water cooling system are achieved, the operation efficiency of equipment is improved, the service life of the equipment is prolonged, the fault rate of the equipment is reduced, and wide application prospects are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of cooling of power electronic equipment, and in particular to a control method and system for a reactive power compensation device auxiliary water cooling system. Background Art

[0002] At present, the reactive power compensation devices of wind farms mainly include distributed phase regulators and SVG. The water cooling system is favored by the market due to its significant heat dissipation effect and low noise interference. However, due to the real-time changes in ambient temperature and reactive power, the heat dissipation degree needs to change in real time. The current water cooling system is often manually adjusted due to the control strategy. Therefore, due to untimely manual adjustment, the heat dissipation temperature of the reactive power compensation device cannot be kept within a reasonable range, thereby reducing the life of the reactive power compensation device. Summary of the invention

[0003] In view of the above existing problems, the present invention is proposed.

[0004] Therefore, the present invention provides a reactive compensation device auxiliary water cooling system control method, which can realize intelligent monitoring and control of the water cooling system, improve the operating efficiency and life of the equipment, and reduce the equipment failure rate.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions, a control method for an auxiliary water cooling system of a reactive compensation device, comprising: collecting oil supply temperature and water cooling system data, and using a machine learning algorithm to predict the formation of hot spots; performing temperature diagnosis and formulating a heat dissipation strategy based on the results; tracking and recording temperature data after heat dissipation, and determining whether the heat dissipation effect meets the standards. If it does not meet the standards, the data update process is automatically started to adjust the PLC program and parameters.

[0006] As a preferred scheme of the control method of the auxiliary water cooling system of a reactive compensation device described in the present invention, the collected oil supply temperature and water cooling system data include the real-time temperature value, temperature change rate, historical temperature data of the lubricating oil supply, the coolant flow rate of the heat exchange valve, the real-time flow value, the flow change rate, the historical flow data, the coolant temperature, the inlet and outlet temperatures of the water cooling system, the start and stop status of the variable frequency fan, the fan power consumption, the circulating pump speed, the start and stop status of the circulating pump, and the power consumption of the circulating pump.

[0007] As a preferred solution of the control method of the auxiliary water cooling system of a reactive compensation device described in the present invention, the prediction of hot spot formation includes recording the oil supply pressure and the flow of the water cooling system, monitoring the water inlet temperature, the water outlet temperature and the pressure of the water cooling system, extracting the temperature difference and the heat flux density characteristics, scaling the data to a uniform scale, and constructing a machine learning model;

[0008] Set the target variable Y to indicate whether a hotspot is formed:

[0009]

[0010] ΔT=T out -T in

[0011] Where ΔT represents the temperature difference, σ T represents the normalization coefficient of the temperature difference, H0(ΔT) represents the Hankel function, g(t) represents the cooling efficiency function, and k c Indicates the sensitivity coefficient of cooling efficiency, T max represents the maximum allowable temperature, T(t) represents the temperature at time t, T out Indicates the outlet water temperature, T in Indicates the inlet water temperature;

[0012] When Y(t)>0.6, a hot spot appears in the detection area and heat dissipation operation is performed.

[0013] As a preferred solution of the control method of the auxiliary water cooling system of a reactive compensation device described in the present invention, the temperature diagnosis includes, based on the above hot spot prediction results, performing trend analysis on the temperature data and making a comprehensive judgment in combination with the current temperature value;

[0014] Build a multi-parameter correlation model:

[0015]

[0016] Among them, T D (x, t) represents the temperature diagnosis function, represents the normalization function, N represents the number of temperature eigenvalues, X n represents the nth temperature characteristic value, τ represents the time constant, x represents the current temperature value, σ n represents the variance of the nth temperature eigenvalue, and η represents the temperature influence factor;

[0017] According to the temperature diagnosis results, a heat dissipation strategy is formulated: the initial judgment is that when x ≥ T1, the first stage temperature threshold, the first stage heat dissipation strategy is triggered. When the temperature reaches the stable threshold, the temperature is considered stable; monitor the inlet main pipe temperature T of the cooled equipment in the water cooling system inlet , when T inlet Still higher than T inlet-max , then enter the second stage of heat dissipation strategy.

[0018] As a preferred solution of the control method of the auxiliary water cooling system of a reactive compensation device described in the present invention, the first stage heat dissipation strategy includes: the lubricating oil supply temperature of the phase shifter is T oil The flow rate of the heat exchange valve of the water cooling system is Q, and the inlet main pipe temperature of the cooled equipment of the water cooling system is Tinlet ;

[0019] In the normal state, the cooling fan is not started, the heat exchange valve flow is 7.136m3 / h, and the maximum heat exchange valve flow is 14.26m3 / h; when the lubricating oil supply temperature T oil When the temperature is >43℃, the PLC determines the inlet main pipe temperature of the cooled equipment in the water cooling system. inlet， When T inlet >32℃, start the variable frequency fan. inlet >34℃, start a group of industrial frequency fans. inlet >35℃, start two sets of industrial frequency fans. inlet When the temperature is less than 28℃, one group of industrial frequency fans will be stopped. inlet <27℃, stop the two power frequency fans. inlet When the temperature is lower than 26℃, the variable frequency fan is stopped; when the fan is running at full power and cannot lower the oil supply temperature, the PLC sends a command to the circulation pump to increase the flow rate. When the temperature cannot be lowered, the PLC sends a command to the heat exchange valve to increase the heat exchange valve flow rate and adjust the oil supply temperature until T oil <43℃;

[0020] When the lubricating oil temperature T oil When the temperature is less than 40℃, the PLC sends a command to the heater to increase the oil temperature. oil When the temperature is higher than 40℃, the heater is turned off. When the heater cannot raise the oil temperature, the PLC sends a command to the heat exchange valve to reduce the heat exchange flow. When the temperature cannot reach a reasonable range, the system alarm requires manual inspection and processing.

[0021] As a preferred solution of the control method of the auxiliary water cooling system of a reactive compensation device described in the present invention, the second stage heat dissipation strategy includes arranging water cooling pipes, and arranging SVG temperature sensors and SVG water cooling system temperature sensors at the same time;

[0022] In the normal state, the external cooling fan is not started, the circulating pump is operated at half power, and the PLC determines the water inlet temperature of the water cooling system. inlet >T inlet-mid When the circulating pump power is increased, the power adjustment coefficient is set to k p , fan speed adjustment coefficient k fan , adjust the circulating pump power of the water cooling system so that:

[0023] P p =P p-base ·(1+k p f(x, T1)

[0024] Among them, P p Indicates the circulating pump power of the water cooling system, P p-baserepresents the basic power of the circulation pump, and f(x, T1) represents a nonlinear function, which makes the heat dissipation efficiency increase in proportion to the temperature change;

[0025] When T inlet >T inlet-max , PLC sends a command to the external cooling fan, setting the speed of the external cooling fan to V fan , adjust the external cooling fan speed so that:

[0026] V fan =V f-max ·(1+k fan f(x, T1)

[0027] Among them, V f-max Indicates the basic speed of the external cooling fan. When the water cooling temperature reaches 30°C, turn on one set of fans. When the temperature reaches 34°C, turn on two sets of fans, the temperature drops to 26°C. Turn off one set of fans, the temperature drops to 22°C. Turn off two sets of fans. When the coolant temperature cannot be lowered, the system alarm needs to be manually checked and handled.

[0028] As a preferred solution of the control method of the auxiliary water cooling system of a reactive compensation device described in the present invention, the data updating process includes real-time recording of temperature data before and after heat dissipation, and transmitting the temperature data to a database for storage;

[0029] Set the cooling effect judgment rules:

[0030]

[0031] Where Λ represents the heat dissipation effect judgment logic function, T pre Indicates the temperature before heat dissipation, T post Indicates the temperature after heat dissipation, T taret Indicates the temperature threshold at which the heat dissipation effect meets the standard;

[0032] The Λ output is a Boolean value of 0 or 1, where 1 indicates that the cooling effect is not up to standard, and the data update process is automatically started: the sensor data is reviewed to confirm that there is no data transmission error or sensor failure;

[0033] Embed the formula into the PLC program, adjust the heat dissipation control logic in the PLC program, update the temperature threshold T1, and adjust the adjustment coefficient k in the heat dissipation strategy p , k fan , optimize the circulation pump power P p and external cooling fan speed V fan ; Record the adjusted parameters and strategies, re-evaluate the cooling effect, and start the backup cooling system when the cooling effect still does not meet the standard.

[0034] Another object of the present invention is to provide a reactive power compensation device auxiliary water cooling system control system, which can effectively monitor and control the temperature of the water cooling system to prevent the equipment from overheating.

[0035] As a preferred solution of the control system of a reactive power compensation device auxiliary water cooling system described in the present invention, it includes: a data acquisition and processing module, a machine learning prediction module, a temperature diagnosis module, a heat dissipation strategy execution module, and a monitoring and adjustment module;

[0036] The data acquisition and processing module collects oil supply temperature and water cooling system data, including lubricating oil temperature, flow rate, and coolant temperature, and processes and stores the data in real time to provide a basis for subsequent analysis;

[0037] The machine learning prediction module uses a machine learning algorithm to predict the formation of hot spots, including recording oil supply pressure, flow rate, and temperature changes, predicting potential hot spot problems, and providing a basis for heat dissipation strategies;

[0038] The temperature diagnosis module performs temperature diagnosis and formulates a heat dissipation strategy according to the diagnosis result;

[0039] The heat dissipation strategy execution module executes the heat dissipation strategy, including adjusting the circulation pump power and the fan speed;

[0040] The monitoring and adjustment module tracks and records the temperature data after heat dissipation, determines whether the heat dissipation effect meets the standard, and automatically starts the data update process to adjust the PLC program and parameters if it does not meet the standard.

[0041] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and is characterized in that when the processor executes the computer program, steps of a control method for a reactive compensation device auxiliary water cooling system are implemented.

[0042] A computer-readable storage medium stores a computer program thereon, wherein when the computer program is executed by a processor, the computer program implements the steps of a control method for a reactive compensation device auxiliary water cooling system.

[0043] Beneficial effects of the present invention: Through real-time monitoring and intelligent control, the present method can quickly respond to changes in equipment temperature, ensure that the equipment operates within a safe operating temperature range, improve heat dissipation efficiency, extend equipment life, reduce operating costs, and reduce environmental impact. The system has a fault warning and emergency response mechanism, which can promptly detect and handle potential problems to ensure stable operation of the system. By collecting and analyzing a large amount of operating data, the present invention can provide data support for equipment maintenance and performance optimization, realize data-driven decision-making, and has significant economic and environmental benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. Among them:

[0045] Figure 1 A schematic flow chart of a control method for a reactive compensation device auxiliary water cooling system provided by an embodiment of the present invention.

[0046] Figure 2 A phase-shifting phase cooling strategy logic diagram of a reactive power compensation device auxiliary water cooling system control method provided by an embodiment of the present invention.

[0047] Figure 3 A logic diagram of an SVG water cooling strategy for a reactive compensation device auxiliary water cooling system control method provided by an embodiment of the present invention.

[0048] Figure 4 A schematic diagram of working modules of a reactive compensation device auxiliary water cooling system control system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0049] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0050] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0051] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0052] The present invention is described in detail with reference to schematic diagrams. When describing the embodiments of the present invention, for the sake of convenience, the cross-sectional diagrams showing the device structure will not be partially enlarged according to the general scale, and the schematic diagrams are only examples, which should not limit the scope of protection of the present invention. In addition, in actual production, the three-dimensional dimensions of length, width and depth should be included.

[0053] At the same time, in the description of the present invention, it should be noted that the directions or positional relationships indicated by the terms "upper, lower, inner and outer" are based on the directions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific direction, be constructed and operated in a specific direction, and therefore cannot be understood as limiting the present invention. In addition, the terms "first, second or third" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0054] In the present invention, unless otherwise clearly specified and limited, the terms "install, connect, connect" should be understood in a broad sense, for example: it can be a fixed connection, a detachable connection or an integral connection; it can also be a mechanical connection, an electrical connection or a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0055] Example 1, reference Figure 1-Figure 3 , which is the first embodiment of the present invention, provides a control method for a reactive power compensation device auxiliary water cooling system, comprising:

[0056] S1: Collect oil supply temperature and water cooling system data, and use machine learning algorithms to predict hot spot formation.

[0057] Furthermore, the collected oil supply temperature and water cooling system data include the real-time temperature value of lubricating oil supply, temperature change rate, historical temperature data, heat exchange valve coolant flow, real-time flow value, flow change rate, historical flow data, coolant temperature, water cooling system inlet and outlet temperatures, variable frequency fan start and stop status, fan power consumption, circulating pump speed, circulating pump start and stop status, and circulating pump power consumption.

[0058] It should be noted that the prediction hotspot formation includes recording the oil supply pressure and the flow rate of the water cooling system, monitoring the water inlet temperature, water outlet temperature and the pressure of the water cooling system, extracting the temperature difference and heat flux density characteristics, scaling the data to a uniform scale, and constructing a machine learning model;

[0059] Set the target variable Y to indicate whether a hotspot is formed:

[0060]

[0061] ΔT=Tout -T in

[0062] Where ΔT represents the temperature difference, σ T represents the normalization coefficient of the temperature difference, H0(ΔT) represents the Hankel function, g(t) represents the cooling efficiency function, and k c Indicates the sensitivity coefficient of cooling efficiency, T max represents the maximum allowable temperature, T(t) represents the temperature at time t, T out Indicates the outlet water temperature, T in Indicates the inlet water temperature;

[0063] When Y(t)>0.6, a hot spot appears in the detection area and heat dissipation operation is performed.

[0064] S2: Perform temperature diagnosis and formulate a cooling strategy based on the results.

[0065] Furthermore, the temperature diagnosis includes, based on the above hotspot prediction results, performing trend analysis on the temperature data and making a comprehensive judgment in combination with the current temperature value;

[0066] Build a multi-parameter correlation model:

[0067]

[0068] Among them, T D (x, t) represents the temperature diagnosis function, represents the normalization function, N represents the number of temperature eigenvalues, X n represents the nth temperature characteristic value, τ represents the time constant, x represents the current temperature value, σ n represents the variance of the nth temperature eigenvalue, and η represents the temperature influence factor;

[0069] According to the temperature diagnosis results, a heat dissipation strategy is formulated: the initial judgment is that when x ≥ T1, the first stage temperature threshold, the first stage heat dissipation strategy is triggered. When the temperature reaches the stable threshold, the temperature is considered stable; monitor the inlet main pipe temperature T of the cooled equipment in the water cooling system inlet , when T inlet Still higher than T inlet-max , then enter the second stage of heat dissipation strategy.

[0070] It should be noted that the first stage heat dissipation strategy includes the phase shifter lubricating oil supply temperature of T oil The flow rate of the heat exchange valve of the water cooling system is Q, and the inlet main pipe temperature of the cooled equipment of the water cooling system is T inlet ;

[0071] In the normal state, the cooling fan is not started, the heat exchange valve flow is 7.136m3 / h, and the maximum heat exchange valve flow is 14.26m3 / h; when the lubricating oil supply temperature T oil When the temperature is >43℃, the PLC determines the inlet main pipe temperature of the cooled equipment in the water cooling system. inlet， When T inlet >32℃, start the variable frequency fan. inlet >34℃, start a group of industrial frequency fans. inlet >35℃, start two sets of industrial frequency fans. inlet When the temperature is less than 28℃, one group of industrial frequency fans will be stopped. inlet <27℃, stop the two power frequency fans. inlet When the temperature is less than 26℃, the variable frequency fan is stopped; when the fan is running at full power and cannot lower the oil supply temperature, the PLC sends a command to the circulation pump to increase the flow rate. When the temperature cannot be lowered, the PLC sends a command to the heat exchange valve to increase the heat exchange valve flow rate and adjust the oil supply temperature until T oil <43℃;

[0072] When the lubricating oil temperature T oil When the temperature is less than 40℃, the PLC sends a command to the heater to increase the oil temperature. oil When the temperature is higher than 40℃, the heater is turned off. When the heater cannot raise the oil temperature, the PLC sends a command to the heat exchange valve to reduce the heat exchange flow. When the temperature cannot reach a reasonable range, the system alarm requires manual inspection and processing.

[0073] Furthermore, the second stage heat dissipation strategy includes arranging water cooling pipes, and arranging SVG temperature sensors and SVG water cooling system temperature sensors;

[0074] In the normal state, the external cooling fan is not started, the circulating pump is operated at half power, and the PLC determines the water inlet temperature of the water cooling system. inlet >T inlet-mid When the circulating pump power is increased, the power adjustment coefficient is set to k p , fan speed adjustment coefficient k fan , adjust the circulating pump power of the water cooling system so that:

[0075] P p =P p-base ·(1+k p f(x, T1)

[0076] Among them, P p Indicates the circulating pump power of the water cooling system, P p-base represents the basic power of the circulation pump, and f(x, T1) represents a nonlinear function, which makes the heat dissipation efficiency increase in proportion to the temperature change;

[0077] When T inlet >Tinlet-max , PLC sends a command to the external cooling fan, setting the speed of the external cooling fan to V fan , adjust the external cooling fan speed so that:

[0078] V fan =V f-max ·(1+k fan f(x, T1)

[0079] Among them, V f-max Indicates the basic speed of the external cooling fan. When the water cooling temperature reaches 30°C, turn on one set of fans. When the temperature reaches 34°C, turn on two sets of fans, the temperature drops to 26°C. Turn off one set of fans, the temperature drops to 22°C. Turn off two sets of fans. When the coolant temperature cannot be lowered, the system alarm needs to be manually checked and handled.

[0080] S3: Track and record the temperature data after heat dissipation, and determine whether the heat dissipation effect meets the standard. If it does not meet the standard, the data update process is automatically started to adjust the PLC program and parameters.

[0081] Furthermore, the data updating process includes recording the temperature data before and after heat dissipation in real time, and transmitting the temperature data to a database for storage;

[0082] Set the cooling effect judgment rules:

[0083]

[0084] Where Λ represents the heat dissipation effect judgment logic function, T pre Indicates the temperature before heat dissipation, T post Indicates the temperature after heat dissipation, T taret Indicates the temperature threshold at which the heat dissipation effect meets the standard;

[0085] The Λ output is a Boolean value of 0 or 1, where 1 indicates that the cooling effect is not up to standard, and the data update process is automatically started: the sensor data is reviewed to confirm that there is no data transmission error or sensor failure;

[0086] Embed the formula into the PLC program, adjust the heat dissipation control logic in the PLC program, update the temperature threshold T1, and adjust the adjustment coefficient k in the heat dissipation strategy p , k fan , optimize the circulation pump power P p and external cooling fan speed V fan ; Record the adjusted parameters and strategies, re-evaluate the cooling effect, and start the backup cooling system when the cooling effect still does not meet the standard.

[0087] Embodiment 2, the second embodiment of the present invention, is different from the previous embodiment in that:

[0088] If the functions are implemented in the form of software functional units and sold or used as independent products, they 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 the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program codes.

[0089] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0090] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0091] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0092] Example 3, reference Figure 4 , which is an embodiment of the present invention, provides a reactive compensation device auxiliary water cooling system control system, which is characterized by: including a data acquisition and processing module, a machine learning prediction module, a temperature diagnosis module, a heat dissipation strategy execution module, and a monitoring and adjustment module.

[0093] The data acquisition and processing module collects oil supply temperature and water cooling system data, including lubricating oil temperature, flow rate, and coolant temperature, and processes and stores data in real time to provide a basis for subsequent analysis.

[0094] The machine learning prediction module uses machine learning algorithms to predict the formation of hot spots, including recording oil supply pressure, flow, and temperature changes, predicting potential hot spot problems, and providing a basis for cooling strategies.

[0095] The temperature diagnosis module performs temperature diagnosis and formulates a heat dissipation strategy based on the diagnosis results.

[0096] The cooling strategy execution module executes the cooling strategy, including adjusting the circulation pump power and fan speed.

[0097] The monitoring and adjustment module tracks and records the temperature data after heat dissipation to determine whether the heat dissipation effect meets the standard. If it does not meet the standard, it will automatically start the data update process and adjust the PLC program and parameters.

[0098] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A control method for a reactive power compensation device auxiliary water cooling system, characterized in that: include, Collect data on oil supply temperature and water cooling system, and use machine learning algorithms to predict hot spot formation; Conduct temperature diagnosis and formulate cooling strategies based on the results; Track and record the temperature data after heat dissipation, and determine whether the heat dissipation effect meets the standard. If it does not meet the standard, the data update process is automatically started to adjust the PLC program and parameters.

2. A reactive power compensation device auxiliary water cooling system control method as claimed in claim 1, characterized in that: The collected oil supply temperature and water cooling system data include the real-time temperature value of lubricating oil supply, temperature change rate, historical temperature data, heat exchange valve coolant flow, real-time flow value, flow change rate, historical flow data, coolant temperature, water cooling system inlet and outlet temperatures, variable frequency fan start and stop status, fan power consumption, circulating pump speed, circulating pump start and stop status, and circulating pump power consumption.

3. A control method for a reactive power compensation device auxiliary water cooling system as claimed in claim 2, characterized in that: The prediction of hotspot formation includes recording the oil supply pressure and the flow rate of the water cooling system, monitoring the water inlet temperature, the water outlet temperature and the pressure of the water cooling system, extracting the temperature difference and heat flux density characteristics, scaling the data to a uniform scale, and building a machine learning model; Set the target variable Y to indicate whether a hotspot is formed: ΔT=T out -T in Where ΔT represents the temperature difference, σ T represents the normalization coefficient of the temperature difference, H0(ΔT) represents the Hankel function, g(t) represents the cooling efficiency function, and k c Indicates the sensitivity coefficient of cooling efficiency, T max represents the maximum allowable temperature, T(t) represents the temperature at time t, T out Indicates the outlet water temperature, T in Indicates the inlet water temperature; When Y(t)>0.6, a hot spot appears in the detection area and heat dissipation operation is performed.

4. A control method for a reactive power compensation device auxiliary water cooling system as claimed in claim 3, characterized in that: The temperature diagnosis includes, based on the above hotspot prediction results, performing trend analysis on the temperature data and making a comprehensive judgment in combination with the current temperature value; Build a multi-parameter correlation model: Among them, T D (x, t) represents the temperature diagnosis function, represents the normalization function, N represents the number of temperature eigenvalues, X n represents the nth temperature characteristic value, τ represents the time constant, x represents the current temperature value, σ n represents the variance of the nth temperature eigenvalue, and η represents the temperature influence factor; According to the temperature diagnosis results, a heat dissipation strategy is formulated: the initial judgment is that when x ≥ T1, the first stage temperature threshold, the first stage heat dissipation strategy is triggered. When the temperature reaches the stable threshold, the temperature is considered stable; monitor the inlet main pipe temperature T of the cooled equipment in the water cooling system inlet , when T inlet Still higher than T inlet-max , then enter the second stage of heat dissipation strategy.

5. A control method for a reactive power compensation device auxiliary water cooling system as claimed in claim 4, characterized in that: The first stage heat dissipation strategy includes: the phase shifter lubricating oil supply temperature is T oil The flow rate of the heat exchange valve of the water cooling system is Q, and the inlet main pipe temperature of the cooled equipment of the water cooling system is T inlet ; In the normal state, the cooling fan is not started, the heat exchange valve flow is 7.136m3 / h, and the maximum heat exchange valve flow is 14.26m3 / h; when the lubricating oil supply temperature T oil When the temperature is >43℃, the PLC determines the inlet main pipe temperature of the cooled equipment in the water cooling system. inlet , when T inlet >32℃, start the variable frequency fan. inlet >34℃, start a group of industrial frequency fans. inlet >35℃, start two sets of industrial frequency fans. inlet When the temperature is less than 28℃, one group of industrial frequency fans will be stopped. inlet <27℃, stop the two power frequency fans. inlet When the temperature is less than 26℃, the variable frequency fan is stopped; when the fan is running at full power and cannot lower the oil supply temperature, the PLC sends a command to the circulation pump to increase the flow rate. When the temperature cannot be lowered, the PLC sends a command to the heat exchange valve to increase the heat exchange valve flow rate and adjust the oil supply temperature until T oil <43℃; When the lubricating oil temperature T oil When the temperature is less than 40℃, the PLC sends a command to the heater to increase the oil temperature. oil When the temperature is higher than 40℃, the heater is turned off. When the heater cannot raise the oil temperature, the PLC sends a command to the heat exchange valve to reduce the heat exchange flow. When the temperature cannot reach a reasonable range, the system alarm requires manual inspection and processing.

6. A control method for a reactive power compensation device auxiliary water cooling system as claimed in claim 5, characterized in that: The second stage heat dissipation strategy includes arranging water cooling pipes, and arranging SVG temperature sensors and SVG water cooling system temperature sensors; In the normal state, the external cooling fan is not started, the circulating pump is operated at half power, and the PLC determines the water inlet temperature of the water cooling system. inlet >T inlet-mid When the circulating pump power is increased, the power adjustment coefficient is set to k p , fan speed adjustment coefficient k fan , adjust the circulating pump power of the water cooling system so that: P p =P p-base ·(1+k p ·f(x, T1)) Among them, P p Indicates the circulating pump power of the water cooling system, P p-base represents the basic power of the circulation pump, and f(x, T1) represents a nonlinear function, so that the heat dissipation efficiency increases in proportion to the temperature change; When T inlet >T inlet-max , PLC sends a command to the external cooling fan, setting the speed of the external cooling fan to V fan , adjust the external cooling fan speed so that: 5 fan =V f-max ·(1+k fan ·f(x, T1)) Among them, V f-max Indicates the basic speed of the external cooling fan. When the water cooling temperature reaches 30°C, turn on one set of fans. When the temperature reaches 34°C, turn on two sets of fans, the temperature drops to 26°C. Turn off one set of fans, the temperature drops to 22°C. Turn off two sets of fans. When the coolant temperature cannot be lowered, the system alarm needs to be manually checked and handled.

7. A control method for a reactive power compensation device auxiliary water cooling system as claimed in claim 6, characterized in that: The data update process includes recording the temperature data before and after heat dissipation in real time, and transmitting the temperature data to a database for storage; Set the cooling effect judgment rules: Where Λ represents the heat dissipation effect judgment logic function, T pre Indicates the temperature before heat dissipation, T post Indicates the temperature after heat dissipation, T taret Indicates the temperature threshold at which the heat dissipation effect meets the standard; The Λ output is a Boolean value of 0 or 1, where 1 indicates that the cooling effect is not up to standard, and the data update process is automatically started: the sensor data is reviewed to confirm that there is no data transmission error or sensor failure; Embed the formula into the PLC program, adjust the heat dissipation control logic in the PLC program, update the temperature threshold T1, and adjust the adjustment coefficient k in the heat dissipation strategy p , k fan , optimize the circulation pump power P p and external cooling fan speed V fan ; Record the adjusted parameters and strategies, re-evaluate the cooling effect, and start the backup cooling system when the cooling effect still does not meet the standard.

8. A system using a reactive power compensation device auxiliary water cooling system control method as claimed in any one of claims 1 to 7, characterized in that: It includes data acquisition and processing module, machine learning prediction module, temperature diagnosis module, cooling strategy execution module, and monitoring and adjustment module; The data acquisition and processing module collects oil supply temperature and water cooling system data, including lubricating oil temperature, flow rate, and coolant temperature, and processes and stores the data in real time to provide a basis for subsequent analysis; The machine learning prediction module uses a machine learning algorithm to predict the formation of hot spots, including recording oil supply pressure, flow rate, and temperature changes, predicting potential hot spot problems, and providing a basis for heat dissipation strategies; The temperature diagnosis module performs temperature diagnosis and formulates a heat dissipation strategy according to the diagnosis result; The heat dissipation strategy execution module executes the heat dissipation strategy, including adjusting the circulation pump power and the fan speed; The monitoring and adjustment module tracks and records the temperature data after heat dissipation, determines whether the heat dissipation effect meets the standard, and automatically starts the data update process and adjusts the PLC program and parameters if it does not meet the standard.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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