Quick response control method and system for electrode boiler

Abstract

According to the electrode boiler quick response control method and system, the real-time data of the set power of the electrode boiler, the actual operation power of the electrode boiler, the liquid level of the electrode boiler and the frequency of an internal circulation pump are collected, and the power deviation ratio between the set power and the actual operation power is calculated based on the real-time data; if the power deviation ratio is larger than a preset deviation ratio threshold value, a strong heating control strategy is used; if the power deviation ratio is not greater than a preset deviation ratio threshold value, using a fine tuning control strategy; and fast response control over the electrode boiler is achieved through the strong heating control strategy and the fine adjustment control strategy. The problems of lag and overshoot of traditional control can be solved, and the response speed and the control precision of the electrode boiler are improved.

Description

Technical Field

[0001] This invention belongs to the field of industrial boiler control technology, specifically relating to a fast response control method and system for electrode boilers. Background Technology

[0002] An electrode boiler is a high-efficiency electrothermal device that utilizes the conductivity of water to directly heat the medium through electrodes. Its power regulation is typically achieved by adjusting the liquid level, pressure, and medium circulation flow rate. Traditional PID control methods, when faced with the characteristics of electrode boilers—large inertia, nonlinearity, and variable operating conditions—suffer from problems such as slow response, overshoot oscillation, and excessively long settling time, making it difficult to meet the demands of modern energy systems for rapid load response.

[0003] In existing technologies, Reference 1 (Publication No. CN108758592A) employs a coordinated method of PID feedback control + cascade proportional control + split-range control, relying on the feedback deviation between actual parameters and setpoints to trigger regulation. For example, the deviation signal output by the split-range controller drives PID3 to control the frequency of the circulating pump and PID4 to control the opening of the drain valve. Reference 2 (Publication No. CN114608197A) controls the electrode boiler, including the inner cylinder and the circulating pump, through external pressure regulation and coordinated control of internal power and temperature parameters. Pressure regulation, power control, and temperature control correspond to different actuators. Although existing technologies employ intelligent algorithms such as fuzzy control to improve adaptability, certain shortcomings remain. For example, the control strategy of Reference 1 relies heavily on feedback deviations, resulting in a delayed response; Reference 2 controls the internal circulating pump and the main body regulating valve primarily through independent or sequential control, lacking coordinated optimization and failing to maximize the system's dynamic performance; it also lacks forward-looking prediction of the system's optimal operating point, making it impossible to achieve truly rapid and accurate response.

[0004] No effective solutions have yet been proposed to address the problems in the relevant technologies. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention provides a rapid response control method and system for electrode boilers. The method collects real-time data on the electrode boiler's set power, actual operating power, liquid level, and internal circulation pump frequency. Based on this real-time data, it calculates the power deviation ratio between the set power and the actual operating power. If the power deviation ratio exceeds a preset threshold, a strong heating control strategy is employed; if the power deviation ratio is not greater than the preset threshold, a fine-tuning control strategy is used. Rapid response control of the electrode boiler is achieved through these two strategies. This invention solves the problems of lag and overshoot in traditional control methods, improving the response speed and control accuracy of electrode boilers.

[0006] The present invention adopts the following technical solution.

[0007] Fast response control methods for electrode boilers include: Real-time data of electrode boiler set power, electrode boiler actual operating power, electrode boiler liquid level and internal circulation pump frequency are collected, and the power deviation ratio between the set power and the actual operating power is calculated based on the real-time data. If the power deviation ratio is greater than the preset threshold for the deviation ratio, a strong heating control strategy is used. The strong heating control strategy uses a fast response optimization function and a fuzzy control algorithm to generate joint control commands for the internal circulation pump frequency and the boiler body regulating valve opening for a fast response. The fast response optimization function is used to achieve rapid coarse adjustment of the power, and the fuzzy control algorithm is used to achieve fine adjustment of the power. If the power deviation ratio is not greater than the preset threshold of the deviation ratio, a fine-tuning control strategy is used; the fine-tuning control strategy uses a PID control algorithm to adjust the frequency of the internal circulation pump and the opening of the body regulating valve so that the system power is maintained at the target value. The rapid response control of the electrode boiler is achieved through the strong heating control strategy and the fine-tuning control strategy.

[0008] More preferably, the power deviation ratio is calculated as follows: The difference between the set power of the electrode boiler and the actual operating power of the electrode boiler is calculated as a ratio to the rated power of the electrode boiler, and the ratio is used as the power deviation ratio.

[0009] More preferably, the specific steps for using the fast response optimization function to achieve fast coarse adjustment of power include: The electrode boiler's set power, the average path length of the current flowing through the boiler water, and the resistivity of the boiler water are multiplied to obtain a first product result; the equivalent lateral dimension of the current channel is multiplied by the square of the electrode boiler to obtain a second product result; the dimensions of the first product result are compared with the second product result, and the ratio is added to the distance between the electrode and the bottom of the electrode boiler to calculate the target liquid level of the electrode boiler; The ratio of the target liquid level of the electrode boiler to the calibrated liquid level of the electrode boiler is calculated, and the ratio is multiplied by the calibrated frequency of the internal circulation pump to obtain the target frequency of the internal circulation pump. The internal circulation pump operates according to the target frequency. During the operation of the internal circulation pump, the main body regulating valve adjusts accordingly to achieve rapid coarse adjustment of the power.

[0010] More preferably, the specific steps for fine-tuning the power using the fuzzy control algorithm include: The power deviation ratio is used as the input variable of the fuzzy controller in the fuzzy control algorithm, and the universe of discourse of the input variable is divided into multiple fuzzy subsets. Logical reasoning is performed on the fuzzy subset according to preset fuzzy rules, and the output of the fuzzy controller is obtained by using the maximum membership method; Based on the output of the fuzzy controller and the real-time power deviation of the electrode boiler, the operating frequency of the internal circulation pump and the opening of the main body regulating valve are adjusted; the real-time power deviation of the electrode boiler is calculated based on the set power of the electrode boiler and the actual operating power of the electrode boiler.

[0011] More preferably, the step of using the power deviation ratio as the input variable of the fuzzy controller in the fuzzy control algorithm, and dividing the universe of discourse of the input variable into multiple fuzzy subsets, specifically includes: Calculate the power deviation ratio and its rate of change between the set power of the electrode boiler and the actual operating power of the electrode boiler, and use the power deviation ratio and the rate of change as input variables of the fuzzy controller; Multiple fuzzy subsets are defined for the input variable, and the membership degree of the input variable relative to each fuzzy subset is calculated using a membership function.

[0012] More preferably, the step of performing logical reasoning on the fuzzy subset according to preset fuzzy rules and obtaining the output of the fuzzy controller using the maximum membership method specifically includes: A fuzzy control rule base is constructed, and fuzzy inference is performed on the input variables of the fuzzy controller based on the rule base to generate a fuzzy output set; The fuzzy output set is mapped to the actual output domain, and the fuzzy output is defuzzified using the maximum membership method to obtain the control commands for the internal circulation pump frequency and the opening of the body regulating valve.

[0013] More preferably, the fine-tuning control strategy employs a PID control algorithm to adjust the frequency of the internal circulation pump and the opening of the main body regulating valve, specifically including the following steps: Based on the power deviation calculated from the set power and actual operating power of the electrode boiler, and the relative magnitude and direction of the set power of the electrode boiler, the output of the PID controller in the PID control algorithm is adjusted to the ratio of the output of the PID controller to the internal circulation pump and the main body regulating valve, and the direction of the adjustment action is obtained, including the increase and decrease of the frequency of the internal circulation pump and the opening and closing of the main body regulating valve. Specifically, when the absolute value of the power deviation is greater than a set absolute value threshold, the proportion of the output allocated to the internal circulation pump is greater than the proportion allocated to the main body regulating valve; when the absolute value of the power deviation is not greater than the set absolute value threshold, the proportion of the output allocated to the internal circulation pump is not greater than the proportion allocated to the main body regulating valve.

[0014] More preferably, when only the fine-tuning control strategy is running, the PID controller is set to pure proportional action, and the proportional gain is gradually increased until the response to a step input exhibits constant-amplitude oscillations. The proportional gain value at the moment when constant-amplitude oscillations occur is recorded, i.e., the critical gain. And the oscillation period, i.e. the critical period. ; Using the critical gain and critical period The parameters of the PID controller are optimized using the Ziegler-Nichols tuning formula to obtain an optimal range of PID parameters. The parameters in the PID controller are ultimately determined based on the actual situation.

[0015] This invention also proposes a fast response control system for an electrode boiler, comprising a high-precision measurement unit, a data processing unit, a control strategy execution unit, and an actuator drive unit: High-precision measurement unit for real-time acquisition of boiler operating parameters; The data processing unit is used to calculate the electrode boiler power deviation ratio and execute the strategy selection algorithm; The control strategy execution unit is used to execute the strong heating strategy or the fine-tuning strategy. The actuator drive unit is used to adjust the frequency of the internal circulation pump and the opening degree of the body regulating valve according to control commands.

[0016] The control strategy execution unit includes a fast response optimization module, a fuzzy control module, and a PID control module. The fast response optimization module is used to calculate the target frequency of the internal circulation pump and the target opening of the body regulating valve according to the power demand, and its output serves as the main control command. The fuzzy control module is used to adjust the frequency of the internal circulation pump and the opening of the main body regulating valve in real time based on the deviation ratio between the actual power and the target power, so as to suppress system overshoot. The PID control module is used to make precise adjustments when the system approaches the target power, thereby improving the steady-state accuracy of the control system.

[0017] The present invention also proposes a terminal, including a processor and a storage medium: The storage medium is used to store instructions; The processor is used to perform the steps of the above method according to the instructions.

[0018] The present invention also proposes a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the above-described method.

[0019] Compared with the prior art, the beneficial effects of the present invention are as follows: 1. This invention constructs a composite control architecture by combining a fast response optimization function with a fuzzy control algorithm. This architecture utilizes the optimization function to quickly calculate the cooperative working reference point of the internal circulation pump and regulating valve based on the set power, achieving advanced prediction of control commands. Then, the fuzzy algorithm intelligently fine-tunes and corrects real-time deviations and trends, realizing adaptive optimization control of the electrode boiler power and significantly improving the system's dynamic response performance.

[0020] 2. The control method provided by this invention enables the electrode boiler to achieve rapid power response, allowing it to effectively cope with instantaneous fluctuations in active power in the power system, providing fast and flexible power support for power grids with a high proportion of new energy access, and significantly enhancing the primary frequency regulation capability of the power system.

[0021] 3. This invention achieves coordinated control of the internal circulation pump frequency and the opening of the main body regulating valve through intelligent algorithms, overcoming the drawbacks of independent actuator operation in traditional control. A fuzzy rule base is used to design rules for pump-valve coordinated operation, ensuring that the two actuators cooperate optimally according to the system state, maximizing the system's dynamic adjustment performance.

[0022] 4. The control method provided by this invention combines the advantages of fast response and high-precision control. First, a fast response optimization function provides a fast response guarantee. Then, a fuzzy control algorithm effectively suppresses overshoot and eliminates steady-state error through power deviation ratio adjustment, ensuring that the system can accurately stabilize at the target power point after rapid adjustment, thus achieving a balance between speed and accuracy. Attached Figure Description

[0023] Figure 1 This is a flowchart of the electrode boiler fast response control method of the present invention; Figure 2 This is a flowchart of the electrode boiler fast response control method according to an embodiment of the present invention; Figure 3 This is a schematic diagram of the electrode boiler fast response control system according to an embodiment of the present invention; Figure 4 This is a schematic block diagram of the electrode boiler fast response control system according to an embodiment of the present invention; Figure 5 This is a schematic block diagram of the strategy execution unit in the electrode boiler fast response control system according to an embodiment of the present invention. Detailed Implementation

[0024] 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 of the embodiments of this invention. The embodiments described in this application are merely some embodiments of this invention, and not all embodiments. Based on the spirit of this invention, all other embodiments obtained by those skilled in the art without creative effort are within the protection scope of this invention.

[0025] The present invention proposes the following solution: like Figure 1 As shown, this invention proposes a fast response control method for electrode boilers, comprising: Real-time data of electrode boiler set power, electrode boiler actual operating power, electrode boiler liquid level and internal circulation pump frequency are collected, and the power deviation ratio between the set power and the actual operating power is calculated based on the real-time data. The calculation method for the power deviation ratio is as follows: The difference between the set power of the electrode boiler and the actual operating power of the electrode boiler is calculated as a ratio to the rated power of the electrode boiler, and the ratio is used as the power deviation ratio.

[0026] If the power deviation ratio is greater than the preset threshold for the deviation ratio, a strong heating control strategy is used. The strong heating control strategy uses a fast response optimization function and a fuzzy control algorithm to generate joint control commands for the internal circulation pump frequency and the boiler body regulating valve opening for a fast response. The fast response optimization function is used to achieve rapid coarse adjustment of the power, and the fuzzy control algorithm is used to achieve fine adjustment of the power. The specific steps for using the fast response optimization function to achieve fast coarse adjustment of power include: The electrode boiler's set power, the average path length of the current flowing through the boiler water, and the resistivity of the boiler water are multiplied to obtain a first product result; the equivalent lateral dimension of the current channel is multiplied by the square of the electrode boiler to obtain a second product result; the dimensions of the first product result are compared with the second product result, and the ratio is added to the distance between the electrode and the bottom of the electrode boiler to calculate the target liquid level of the electrode boiler; The ratio of the target liquid level of the electrode boiler to the calibrated liquid level of the electrode boiler is calculated, and the ratio is multiplied by the calibrated frequency of the internal circulation pump to obtain the target frequency of the internal circulation pump. The internal circulation pump operates according to the target frequency. During the operation of the internal circulation pump, the main body regulating valve adjusts accordingly to achieve rapid coarse adjustment of the power.

[0027] The power deviation ratio is used as the input variable of the fuzzy controller in the fuzzy control algorithm, and the universe of discourse of the input variable is divided into multiple fuzzy subsets. Logical reasoning is performed on the fuzzy subset according to preset fuzzy rules, and the output of the fuzzy controller is obtained by using the maximum membership method; Based on the output of the fuzzy controller and the real-time power deviation of the electrode boiler, the operating frequency of the internal circulation pump and the opening of the main body regulating valve are adjusted; the real-time power deviation of the electrode boiler is calculated based on the set power of the electrode boiler and the actual operating power of the electrode boiler.

[0028] The step of using the power deviation ratio as the input variable of the fuzzy controller in the fuzzy control algorithm, and dividing the universe of discourse of the input variable into multiple fuzzy subsets, specifically includes: Calculate the power deviation ratio and its rate of change between the set power of the electrode boiler and the actual operating power of the electrode boiler, and use the power deviation ratio and the rate of change as input variables of the fuzzy controller; Multiple fuzzy subsets are defined for the input variable, and the membership degree of the input variable relative to each fuzzy subset is calculated using a membership function.

[0029] The step of performing logical reasoning on the fuzzy subset according to preset fuzzy rules and obtaining the output of the fuzzy controller using the maximum membership method specifically includes: A fuzzy control rule base is constructed, and fuzzy inference is performed on the input variables of the fuzzy controller based on the rule base to generate a fuzzy output set; The fuzzy output set is mapped to the actual output domain, and the fuzzy output is defuzzified using the maximum membership method to obtain the control commands for the internal circulation pump frequency and the opening of the body regulating valve.

[0030] If the power deviation ratio is not greater than the preset threshold of the deviation ratio, a fine-tuning control strategy is used; the fine-tuning control strategy uses a PID control algorithm to adjust the frequency of the internal circulation pump and the opening of the body regulating valve so that the system power is maintained at the target value. The fine-tuning control strategy uses a PID control algorithm to adjust the frequency of the internal circulation pump and the opening of the main body regulating valve. The specific steps include: Based on the power deviation calculated from the set power and actual operating power of the electrode boiler, and the relative magnitude and direction of the set power of the electrode boiler, the output of the PID controller in the PID control algorithm is adjusted to the ratio of the output of the PID controller to the internal circulation pump and the main body regulating valve, and the direction of the adjustment action is obtained, including the increase and decrease of the frequency of the internal circulation pump and the opening and closing of the main body regulating valve. Specifically, when the absolute value of the power deviation is greater than a set absolute value threshold, the proportion of the output allocated to the internal circulation pump is greater than the proportion allocated to the main body regulating valve; when the absolute value of the power deviation is not greater than the set absolute value threshold, the proportion of the output allocated to the internal circulation pump is not greater than the proportion allocated to the main body regulating valve.

[0031] Under the condition of only running the fine-tuning control strategy, the PID controller is set to pure proportional action, and the proportional gain is gradually increased until the response to a step input exhibits constant-amplitude oscillations. The proportional gain value at the moment when constant-amplitude oscillations occur is recorded, which is the critical gain. And the oscillation period, i.e. the critical period. ; Using the critical gain and critical period The parameters of the PID controller are optimized using the Ziegler-Nichols tuning formula to obtain an optimal range of PID parameters. The parameters in the PID controller are ultimately determined based on the actual situation.

[0032] The rapid response control of the electrode boiler is achieved through the strong heating control strategy and the fine-tuning control strategy.

[0033] This invention also proposes a fast response control system for an electrode boiler, comprising a high-precision measurement unit, a data processing unit, a control strategy execution unit, and an actuator drive unit: High-precision measurement unit for real-time acquisition of boiler operating parameters; The data processing unit is used to calculate the electrode boiler power deviation ratio and execute the strategy selection algorithm; The control strategy execution unit is used to execute the strong heating strategy or the fine-tuning strategy. The actuator drive unit is used to adjust the frequency of the internal circulation pump and the opening degree of the body regulating valve according to control commands.

[0034] The control strategy execution unit includes a fast response optimization module, a fuzzy control module, and a PID control module. The fast response optimization module is used to calculate the target frequency of the internal circulation pump and the target opening of the body regulating valve according to the power demand, and its output serves as the main control command. The fuzzy control module is used to adjust the frequency of the internal circulation pump and the opening of the main body regulating valve in real time based on the deviation ratio between the actual power and the target power, so as to suppress system overshoot. The PID control module is used to make precise adjustments when the system approaches the target power, thereby improving the steady-state accuracy of the control system.

[0035] The present invention also proposes a terminal, including a processor and a storage medium: The storage medium is used to store instructions; The processor is used to perform the steps of the above method according to the instructions.

[0036] The present invention also proposes a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the above-described method.

[0037] Example 1 According to embodiments of the present invention, a fast response control method and system for electrode boilers are provided.

[0038] The present invention will now be further described in conjunction with the accompanying drawings and specific embodiments, such as... Figure 2 As shown, the electrode boiler fast response control method according to an embodiment of the present invention includes the following steps: The set power, actual operating power, liquid level, and internal circulation pump frequency of the electrode boiler are acquired in real time through a high-precision measurement unit, and the power deviation ratio between the set power and the actual operating power is calculated. The power deviation ratio is compared with a preset threshold. Preferably, the preset threshold for the deviation ratio is set based on engineering experience; in a preferred embodiment of the present invention, it is set to 10%. Based on the comparison result, a strong heating control strategy or a fine-tuning control strategy is selectively activated. The strong heating control strategy is activated when the deviation ratio exceeds a preset threshold. It employs a fast response optimization function and a fuzzy control algorithm to collaboratively generate joint control commands for the internal circulation pump frequency and the boiler body regulating valve opening. Under this strategy, the frequency adjustment of the internal circulation pump is the primary factor to achieve rapid coarse power adjustment, while the opening adjustment of the boiler body regulating valve is the secondary factor to perform dynamic compensation and fine-tuning for stabilization, thereby achieving rapid response. The fine-tuning control strategy is activated when the deviation is not greater than the preset threshold of the deviation ratio. It uses a PID control algorithm to fine-tune the frequency of the internal circulation pump and the opening of the body regulating valve in a coordinated manner, so as to eliminate steady-state deviation and ensure that the system power is accurately and stably maintained at the target value.

[0039] Specifically, the execution process of fine-tuning the control strategy includes: Based on power deviation and electrode boiler set power The relative magnitude and direction of the power deviation are used to dynamically adjust the ratio of the PID output distributed between the internal circulation pump and the main control valve. When the absolute value of the power deviation is large (e.g., greater than 2%)... When the power deviation is small (e.g., not greater than 2%), the output increment of the PID controller is mainly allocated to the internal circulation pump, achieving rapid and consistent power regulation by quickly changing the medium circulation flow rate. When the PID controller output increment is mainly allocated to the main regulating valve, the power is precisely fine-tuned by adjusting the current flowing through the electrodes, thus eliminating steady-state error.

[0040] Specifically, define the pump distribution coefficient. and valve distribution coefficient And satisfy + =1. The allocation coefficient is the absolute value of the power deviation. The function is mapped through a preset linear or piecewise linear function. In a preferred embodiment, the functional relationship is as follows: when hour, =1, =0; when hour, It decreases linearly from 1 to 0.3. It increases linearly from 0 to 0.7; when hour, =0.3, =0.7.

[0041] To enable those skilled in the art to implement this method, the parameters of the PID controller are tuned using the critical proportional gain method: When the system is operating with only a fine-tuning control strategy, first set the controller to pure proportional (P) action, and gradually increase the proportional gain until the system's response to a step input exhibits constant-amplitude oscillations (critical oscillation state). Record the proportional gain value at this point (critical gain). ) and oscillation period (critical period) ).

[0042] Based on the Ziegler-Nichols tuning formula and considering the characteristics of electrode boilers such as high thermal inertia and strong nonlinearity, an optimal range of PID parameters was obtained: proportionality coefficient The value is 0.6 Up to 0.8 Between. Preferably, It falls within the range of 12% to 20%.

[0043] Integration time TI: 0.5 Up to 0.8 The TI value is preferably between 18 and 35 seconds.

[0044] Differential time TD: The value is 0.1. Up to 0.15 Between. Preferably, TD is in the range of 3 to 8 seconds.

[0045] In specific implementation, the high-precision measurement unit includes: a power measuring instrument with an accuracy of not less than 0.5% and a response time of not more than 100ms, used to acquire the set power and actual operating power of the boiler in real time; a differential pressure level transmitter or radar level gauge with an accuracy of not less than ±5%FS and a level measuring device with a response time of not more than 100ms, used to detect the medium level in the electrode boiler in real time; and a frequency measuring device with an accuracy of not less than 0.1% and a response time of not more than 10ms, used to acquire the operating frequency of the internal circulation pump in real time.

[0046] It should be noted that, as Figure 3 As shown, the operating parameters of the electrode boiler need to be obtained through a periodic sampling program running on the controller. This program periodically receives high-pressure operating data, start-stop commands, user load demands, and electrode boiler status data feedback, and transmits the sampled data to the computer for further processing and analysis, and finally issues power adjustment commands to the boiler.

[0047] In the specific implementation process, the formula for calculating the power deviation ratio is as follows: ; In the formula, P0 represents the power deviation ratio; This indicates the set power of the electrode boiler, in MW. This indicates the actual operating power of the electrode boiler, in MW. This indicates the rated power of the electrode boiler, in MW.

[0048] In this embodiment, the calculation process of the fast response optimization function is as follows: ; ; In the formula, This indicates the target liquid level of the electrode boiler, in mm; the coefficient 1000 is for dimensionless measurement. The equivalent conductor length, i.e., the average path length of the current flowing through the boiler water, mainly depends on the relative position between the electrodes. According to the boiler design drawings, L can be approximated as the distance between the electrodes, with the unit being meters. Represents the resistivity of boiler water in electrode boilers, in units of ; W represents the equivalent conductor cross-sectional width, i.e. the equivalent lateral dimension of the current channel. It mainly depends on the size and shape of the electrode. According to the boiler design drawings, W can be approximated as the electrode perimeter, with the unit being meters. This indicates the electrode boiler voltage, in kV. This indicates the distance between the electrode and the bottom of the boiler, in mm. This indicates the target frequency of the internal circulation pump, in Hz. Indicates the rated frequency of the internal circulation pump, in Hz; This indicates the calibrated liquid level of the electrode boiler, in mm.

[0049] The internal circulation pump should first operate at the target frequency. During operation (rapid increase / decrease of dominant power), the main regulating valve operates at the target liquid level of the electrode boiler. To make an initial adjustment to the opening (following the lead), the system power is quickly brought close to the target value, completing the coarse adjustment.

[0050] In this embodiment, the fuzzy control algorithm includes: The power deviation ratio of the electrode boiler is used as the input variable of the fuzzy controller, and the universe of discourse of the input variable is divided into multiple fuzzy subsets. Logical reasoning is performed on the fuzzy subset according to the preset fuzzy rules, and the sharpened output of the fuzzy controller is obtained by using the maximum membership method. Based on the output of the fuzzy controller and combined with the real-time power deviation, the operating frequency of the internal circulation pump and the opening of the main body regulating valve are adjusted in a coordinated manner.

[0051] In this embodiment, using the power deviation ratio of the electrode boiler as the input variable of the fuzzy controller and dividing the universe of discourse of the input variable into multiple fuzzy subsets includes: The deviation ratio and its rate of change between the set power of the electrode boiler and the actual operating power collected by the high-precision measurement unit are calculated and used as the input of the fuzzy controller. Define multiple fuzzy subsets for the input variable, and use membership functions to calculate the membership degree of the input value relative to each fuzzy subset.

[0052] It should be noted that the power deviation ratio E and its rate of change dE / dt are divided into multiple different fuzzy sets, where d represents the differential operator and t represents time. The degree of membership of the input variable to each fuzzy set is calculated using a Gaussian membership function. The finer the fuzzy set division, the higher the control accuracy. In this invention, the two input variables of the fuzzy controller are divided into 7 levels of fuzzy subsets, namely {NB, NM, NS, ZO, PS, PM, PB}, where NB represents negative large, NM represents negative medium, NS represents negative small, ZO represents zero, PS represents positive small, PM represents positive medium, and PB represents positive large.

[0053] In this embodiment, the step of performing logical reasoning on the fuzzy subset according to preset fuzzy rules and obtaining the declarative output of the fuzzy controller using the maximum membership method includes: A fuzzy control rule base is constructed, and fuzzy inference is performed on the input variables of the fuzzy controller based on the rule base to generate a fuzzy output set; It should be noted that, based on the requirement for rapid power regulation of the electrode boiler, a fuzzy control rule table was formulated. Logical reasoning is performed on the fuzzified inputs according to this table to obtain the fuzzy output. The rule form is: If (E is NB) and (dE / dt is PS) then (ΔF is PM) and (ΔV is NM), where ΔF represents the frequency regulation of the internal circulation pump, and ΔV represents the opening regulation of the main control valve.

[0054] The fuzzy output set is mapped to the actual output domain, and the fuzzy output is defuzzified using the maximum membership method to obtain the accurate output value. This output value is then used as the control command for the frequency of the internal circulation pump and the opening of the body regulating valve.

[0055] It should be noted that the defuzzification process involves converting the fuzzy output obtained from fuzzy inference to its corresponding actual physical output range using a scaling factor. Commonly used defuzzification methods include the maximum membership method and the weighted average method. This invention employs the maximum membership method, the core of which lies in selecting the precise quantity corresponding to the element with the maximum membership value from the fuzzy set obtained through inference calculation as the final control output. If multiple points in the fuzzy set have the same maximum membership degree, the average or median value of these points is usually taken; if only a single maximum value exists, the precise value corresponding to that point is directly used as the output command.

[0056] Example 2 like Figure 4As shown, according to another embodiment of the present invention, a fast response control system for an electrode boiler is also provided, which includes a high-precision measurement unit 1, a data processing unit 2, a control strategy execution unit 3, and an actuator drive unit 4. High-precision measurement unit 1 is used to collect boiler operating parameters in real time; Data processing unit 2 is used to calculate the electrode boiler power deviation ratio and execute the strategy selection algorithm; Control strategy execution unit 3 is used to execute strong heating strategy or fine-tuning strategy; Actuator drive unit 4 is used to adjust the frequency of the internal circulation pump and the opening degree of the body regulating valve according to control commands.

[0057] like Figure 5 As shown, the control strategy execution unit 3 includes a fast response optimization module 301, a fuzzy control module 302, and a PID control module 303; The fast response optimization module 301 is used to calculate the target frequency of the internal circulation pump and the target opening of the body regulating valve according to the power demand, and its output serves as the main control command. The fuzzy control module 302 is used to adjust the frequency of the internal circulation pump and the opening of the main body regulating valve in real time based on the deviation ratio between the actual power and the target power, so as to suppress system overshoot. The PID control module 303 is used to make precise adjustments when the system approaches the target power, thereby improving the steady-state accuracy of the control system.

[0058] Example 3 The present invention also proposes a terminal, including a processor and a storage medium: The storage medium is used to store instructions; The processor is used to perform the steps of the above method according to the instructions.

[0059] Example 4 The present invention also proposes a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the above-described method.

[0060] In summary, by combining the fast response optimization function with the fuzzy control algorithm, a composite control architecture is constructed, achieving rapid response and precise control of electrode boiler power. The fast response control method for electrode boilers provided by this invention calculates the collaborative working reference point of the internal circulation pump and regulating valve in real time through the optimization function, and then performs intelligent fine-tuning of the real-time operating conditions through the fuzzy algorithm, realizing the coordinated linkage control of the actuators, ensuring both response speed and control accuracy. This invention enables electrode boilers to respond quickly to power regulation commands, providing effective active power support for the power system. At the same time, the precise control algorithm maintains the stable operation of the thermal system, not only improving the grid's ability to absorb new energy sources but also enhancing the primary frequency regulation performance of the power system, providing important technical support for the construction of new power systems.

[0061] 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 it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the protection scope of the claims of the present invention.

Claims

1. A method for rapid response control of an electrode boiler, characterized by, The method comprises the following steps: collecting real-time data of the electrode boiler set power, the electrode boiler actual operation power, the electrode boiler liquid level and the inner circulating pump frequency, and calculating a power deviation ratio between the set power and the actual operation power based on the real-time data; if the power deviation ratio is greater than a set deviation ratio preset threshold, using a strong heating control strategy; the strong heating control strategy uses a fast response optimization function and a fuzzy control algorithm to generate joint control instructions for the inner circulating pump frequency and the boiler body regulating valve opening degree, and performs fast response; the fast response optimization function is used to achieve fast coarse adjustment of power, and the fuzzy control algorithm is used to achieve fine adjustment of power; if the power deviation ratio is not greater than the set deviation ratio preset threshold, using a fine adjustment control strategy; the fine adjustment control strategy uses a PID control algorithm to adjust the inner circulating pump frequency and the body regulating valve opening degree, so that the system power is maintained at a target value; the strong heating control strategy and the fine adjustment control strategy are used to achieve fast response control of the electrode boiler.

2. The electrode boiler fast response control method according to claim 1, wherein: the calculation method of the power deviation ratio is: calculating the ratio of the difference between the electrode boiler set power and the electrode boiler actual operation power to the electrode boiler rated power, and taking the ratio as the power deviation ratio.

3. The electrode boiler fast response control method according to claim 1, wherein: the specific steps of using the fast response optimization function to achieve fast coarse adjustment of power include: multiplying the electrode boiler set power, the average path length of the current flowing in the boiler water and the electrode boiler boiler water resistivity to obtain a first product result; multiplying the equivalent lateral dimension of the current channel and the square of the electrode boiler to obtain a second product result; calculating the ratio of the dimension of the first product result to the second product result, adding the ratio and the distance between the electrode and the bottom of the electrode boiler to calculate the electrode boiler target liquid level; calculating the ratio of the electrode boiler target liquid level to the calibrated liquid level of the electrode boiler, multiplying the ratio and the calibrated frequency of the inner circulating pump to obtain the target frequency of the inner circulating pump; the inner circulating pump operates according to the target frequency, and the body regulating valve is adjusted during the operation of the inner circulating pump to achieve fast coarse adjustment of power.

4. The electrode boiler fast response control method according to claim 1, wherein: the specific steps of using the fuzzy control algorithm to achieve fine adjustment of power include: taking the power deviation ratio as an input variable of the fuzzy controller in the fuzzy control algorithm, and dividing the domain of the input variable into a plurality of fuzzy subsets; performing logical reasoning on the fuzzy subsets according to the preset fuzzy rules, and obtaining the output of the fuzzy controller by using the maximum membership degree method. Based on the output of the fuzzy controller and the real-time power deviation of the electrode boiler, the operating frequency of the internal circulation pump and the opening of the main body regulating valve are adjusted; the real-time power deviation of the electrode boiler is calculated based on the set power of the electrode boiler and the actual operating power of the electrode boiler.

5. The fast response control method for electrode boilers according to claim 4, characterized in that: The step of using the power deviation ratio as the input variable of the fuzzy controller in the fuzzy control algorithm, and dividing the universe of discourse of the input variable into multiple fuzzy subsets, specifically includes: Calculate the power deviation ratio and its rate of change between the set power of the electrode boiler and the actual operating power of the electrode boiler, and use the power deviation ratio and the rate of change as input variables of the fuzzy controller; Multiple fuzzy subsets are defined for the input variable, and the membership degree of the input variable relative to each fuzzy subset is calculated using a membership function.

6. The fast response control method for electrode boilers according to claim 4, characterized in that: The step of performing logical reasoning on the fuzzy subset according to preset fuzzy rules and obtaining the output of the fuzzy controller using the maximum membership method specifically includes: A fuzzy control rule base is constructed, and fuzzy inference is performed on the input variables of the fuzzy controller based on the rule base to generate a fuzzy output set; The fuzzy output set is mapped to the actual output domain, and the fuzzy output is defuzzified using the maximum membership method to obtain the control commands for the internal circulation pump frequency and the opening of the body regulating valve.

7. The fast response control method for electrode boilers according to claim 1, characterized in that: The fine-tuning control strategy uses a PID control algorithm to adjust the frequency of the internal circulation pump and the opening of the main body regulating valve. The specific steps include: Based on the power deviation calculated from the set power and actual operating power of the electrode boiler, and the relative magnitude and direction of the set power of the electrode boiler, the output of the PID controller in the PID control algorithm is adjusted to the ratio of the output of the PID controller to the internal circulation pump and the main body regulating valve, and the direction of the adjustment action is obtained, including the increase and decrease of the frequency of the internal circulation pump and the opening and closing of the main body regulating valve. Specifically, when the absolute value of the power deviation is greater than a set absolute value threshold, the proportion of the output allocated to the internal circulation pump is greater than the proportion allocated to the main body regulating valve; when the absolute value of the power deviation is not greater than the set absolute value threshold, the proportion of the output allocated to the internal circulation pump is not greater than the proportion allocated to the main body regulating valve.

8. The fast response control method for electrode boilers according to claim 7, characterized in that: In the working condition of only running the fine-tuning control strategy, the PID controller is set to pure proportional action, the proportional gain is gradually increased until the response to the step input appears equal-amplitude oscillation, and the proportional gain value at the time of appearing equal-amplitude oscillation, that is, the critical gain is recorded , and the oscillation period, that is, the critical period ​ using the critical gain and critical period , the parameters of the PID controller are optimized using the Ziegler-Nichols tuning formula to obtain a preferred PID parameter range; The parameters in the PID controller are ultimately determined based on the actual situation.

9. A fast response control system for an electrode boiler utilizing the method of any one of claims 1-8, comprising a high-precision measurement unit, a data processing unit, a control strategy execution unit, and an actuator drive unit, characterized in that: High-precision measurement unit for real-time acquisition of boiler operating parameters; The data processing unit is used to calculate the electrode boiler power deviation ratio and execute the strategy selection algorithm; The control strategy execution unit is used to execute the strong heating strategy or the fine-tuning strategy. The actuator drive unit is used to adjust the frequency of the internal circulation pump and the opening degree of the body regulating valve according to control commands. The control strategy execution unit includes a fast response optimization module, a fuzzy control module, and a PID control module. The fast response optimization module is used to calculate the target frequency of the internal circulation pump and the target opening of the body regulating valve according to the power demand, and its output serves as the main control command. The fuzzy control module is used to adjust the frequency of the internal circulation pump and the opening of the main body regulating valve in real time based on the deviation ratio between the actual power and the target power, so as to suppress system overshoot. The PID control module is used to make precise adjustments when the system approaches the target power, thereby improving the steady-state accuracy of the control system.

10. A terminal, comprising a processor and a storage medium; characterized in that: The storage medium is used to store instructions; The processor is configured to operate according to the instructions to perform the steps of the method according to any one of claims 1-8.

11. A computer readable storage medium having stored thereon a computer program, characterized in that When executed by a processor, the program implements the steps of the method according to any one of claims 1-8.

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