Water level treatment method and system for low-pressure heater under fire storage combined frequency modulation

Abstract

The invention provides a water level treatment method and system for a low-pressure heater under fire and storage combined frequency modulation, and the method comprises the steps: transforming a manual door of a drainage adjustment bypass of a to-be-treated double-row low-pressure heater into an electric door, and building a remote real-time adjustment channel of the electric door; an independent water level control system of the low-pressure heater is constructed, and the adjusting range of the electrically operated gate is incorporated into the water level control system; the water level of a low-pressure heater and the opening degree of a drainage adjusting valve are monitored in real time in a water level control system, real-time detection data are input into the mapping relation, and the opening degree of an electric door is automatically adjusted according to the mapping result; and on the basis of the actual operation data, the set value of the opening degree of the low-pressure heater drainage adjustment bypass electrically operated gate in the mapping relation is optimized through an AI learning algorithm. According to the method, the drainage adjusting bypass electrically operated gate is automatically adjusted according to the range, the water level of the low-pressure heater can be kept in a stable state, and the end difference of the low-pressure heater is stabilized.

Description

Technical Field

[0001] This application relates to the field of low-pressure heater water level control technology, and in particular to a method and system for controlling the water level of a low-pressure heater under combined fire-storage frequency regulation. Background Technology

[0002] Currently, grid frequency regulation is primarily based on thermal power units, responding to system frequency changes by adjusting the active power output of these units. While power can be regulated via the turbine control valves of the thermal power units themselves, this method suffers from drawbacks such as long response times, low ramp rates, and an inability to accurately track dispatch commands, leading to adjustment time delays, deviations, and even reverse adjustments. Therefore, the adoption rate of joint frequency regulation using thermal power units and energy storage systems is gradually increasing.

[0003] Among them, the combined frequency regulation system of thermal power and energy storage has advantages such as fast response speed, rapid short-term power rise and fall, and flexible adjustment. It can achieve full-load output within milliseconds to seconds and accurately control within the rated power range. The role of thermal power and energy storage combined frequency regulation technology in thermal power plants is mainly reflected in improving the performance of the automatic generation control (AGC). When a thermal power unit that participates in frequency regulation throughout the AGC process has an energy storage device participating in auxiliary regulation, the AGC performance of the thermal power plant can be effectively improved, and the comprehensive evaluation index (Kp value) of the unit's regulation performance can be increased to above 5.0.

[0004] However, after the power plant is connected to the energy storage system, the water level of the low-pressure heaters in the double-row symmetrical configuration of the thermal power unit's regenerative system fluctuates greatly. At the same time, under different unit loads, the water level of the low-pressure heaters cannot be controlled within the specified range, and the terminal difference of the low-pressure heaters cannot be controlled within the economic indicators. Summary of the Invention

[0005] This application aims to at least partially address one of the technical problems in the related art.

[0006] Therefore, the first objective of this application is to propose a method for water level management of low-pressure heaters under combined thermal and energy storage frequency regulation. This method can achieve precise dynamic control of the water level of dual-row low-pressure heaters in a combined thermal and energy storage frequency regulation system, effectively eliminate the risk of water level abnormalities and steam-water two-phase flow caused by load fluctuations, and improve the safety and economy of system operation.

[0007] The second objective of this application is to propose a water level control system for a low-pressure heater under combined fire and storage frequency regulation.

[0008] The third objective of this application is to provide a computer-readable storage medium.

[0009] To achieve the above objectives, the first aspect of this application is to propose a method for water level control in a low-pressure heater under combined thermal and energy storage frequency regulation, comprising the following steps: The manual door of the condensate regulating bypass of the target dual-row low-pressure heater to be treated is converted into an electric door, and a remote real-time regulating channel for the electric door is established. An independent water level control system is constructed for the target dual-row low-pressure heater, and the adjustment range of the electric gate is incorporated into the water level control system. A mapping relationship is set between the water level of the low-pressure heater and the opening of the low-pressure heater drain regulating valve, and the opening of the low-pressure heater drain regulating bypass electric valve. The water level of the target double-row low-pressure heater and the opening of the drain regulating valve are monitored in real time in the water level control system. The real-time detection data is input into the mapping relationship, and the opening of the electric valve is automatically adjusted according to the mapping result. Based on actual operating data, the setting value of the low-pressure heater condensate regulating bypass electric door opening in the mapping relationship is optimized using an AI learning algorithm.

[0010] Optionally, the mapping relationship between setting the low-pressure heater water level and the opening of the low-pressure heater drain regulating valve, and the opening of the low-pressure heater drain regulating bypass electric valve includes: setting a first setting value corresponding to the low-pressure heater water level in a normal state, and a second setting value corresponding to the activation of the low-pressure heater emergency drain regulating system; determining a water level range based on the first setting value and the second setting value, and setting different water level ranges and the opening of the low-pressure heater drain regulating bypass electric valve within the range of the low-pressure heater drain regulating valve opening.

[0011] Optionally, the step of inputting real-time detection data into the mapping relationship and automatically adjusting the opening degree of the electric gate according to the mapping result includes: determining the opening degree of the electric gate to be 0% when the water level of the target double-row low-pressure heater is in a first water level range and the opening degree of the drain regulating valve is in a first range, wherein the first water level range is from 0 to the first set value; determining the opening degree of the electric gate to be 20% when the water level of the target double-row low-pressure heater is in the first water level range and the opening degree of the drain regulating valve is in a second range; and determining the opening degree of the electric gate to be 30% when the water level of the target double-row low-pressure heater is in the first water level range and the opening degree of the drain regulating valve is in a third range.

[0012] Optionally, the step of inputting real-time detection data into the mapping relationship and automatically adjusting the opening degree of the electric gate according to the mapping result further includes: determining the opening degree of the electric gate to be 30% when the water level of the target double-row low-pressure heater is in the second water level range and the opening degree of the drain regulating valve is in the first range, wherein the second water level range is from the first set value to the second set value; determining the opening degree of the electric gate to be 40% when the water level of the target double-row low-pressure heater is in the second water level range and the opening degree of the drain regulating valve is in the second range; determining the opening degree of the electric gate to be 50% when the water level of the target double-row low-pressure heater is in the second water level range and the opening degree of the drain regulating valve is in the third range; and determining the opening degree of the electric gate to be 100% when the water level of the target double-row low-pressure heater is higher than the second set value and the opening degree of the drain regulating valve is higher than 100%.

[0013] Optionally, after setting the mapping relationship between the low-pressure heater water level and the opening of the low-pressure heater drain regulating valve, and the opening of the low-pressure heater drain regulating bypass electric valve, the method further includes: setting a tripping value corresponding to the low-pressure heater tripping protection action; sending an alarm message to the staff when the target double-row low-pressure heater water level reaches the tripping value; and executing the low-pressure heater tripping protection when the target double-row low-pressure heater water level reaches the tripping value.

[0014] Optionally, the step of optimizing the set value of the low-pressure heater drain regulating bypass electric valve opening in the mapping relationship based on actual operating data and using an AI learning algorithm includes: inputting the actual operating data as training data into a preset opening optimization model, wherein the model input parameters include unit load status, low-pressure heater water level, and drain regulating valve opening; and adjusting the set value of the electric valve opening in the mapping relationship according to the prediction error output by the opening optimization model.

[0015] Optionally, the step of converting the manual door of the condensate regulating bypass of the target dual-row low-pressure heater to an electric door and establishing a remote real-time adjustment channel for the electric door includes: transmitting remote control signals for the electric door based on the communication protocol between the distributed control system (DCS) and the electric door; and setting the sampling frequency of the opening feedback signal of the electric door.

[0016] To achieve the above objectives, a second aspect of this application also proposes a water level control system for a low-pressure heater under combined thermal and energy storage frequency regulation, comprising the following modules: The modification module is used to convert the manual door of the condensate regulating bypass of the target dual-row low-pressure heater to an electric door, and to establish a remote real-time adjustment channel for the electric door. A construction module is used to construct an independent water level control system for the target dual-row low-pressure heater, and to incorporate the adjustment range of the electric gate into the water level control system. The adjustment module is used to set the mapping relationship between the water level of the low-pressure heater and the opening of the low-pressure heater drain regulating valve, and the opening of the low-pressure heater drain regulating bypass electric door. In the water level control system, the module monitors the water level of the target double-row low-pressure heater and the opening of the drain regulating valve in real time, inputs the real-time detection data into the mapping relationship, and automatically adjusts the opening of the electric door according to the mapping result. The optimization module is used to optimize the setting value of the low-pressure heater condensate regulating bypass electric door opening in the mapping relationship based on actual operating data and through AI learning algorithms.

[0017] To achieve the above objectives, a third aspect of this application also proposes a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the water level control method for a low-pressure heater under combined fire and storage frequency regulation as described in any one of the first aspects.

[0018] The technical solution provided by the embodiments of this application brings at least the following beneficial effects: This application, through the modification of the electric gate and the graded adjustment logic, can stably maintain the water level of the dual-row low-pressure heaters to be treated near the normal set value, meeting the specified range requirements under different load conditions, stabilizing the low-pressure heater terminal differential within the economic index, and significantly improving the water level control accuracy. Automatic adjustment of the electric gate opening helps eliminate the hidden danger of unit pipeline vibration and reduces the safety risks of the unit. Furthermore, this application, by using remote operation of the electric gate to replace on-site manual operation, can reduce the labor intensity of operators, reduce the need for real-time pressure adjustment by monitoring personnel based on the automatic control mode, and enhance the ability to adapt to different operating conditions through AI optimization, which is conducive to improving the operating efficiency of the unit. By stabilizing the low-pressure heater terminal differential within the economic range, energy consumption can be reduced, and the economic efficiency of unit operation can be improved. Therefore, this application can achieve precise dynamic control of the water level of the dual-row low-pressure heaters in the combined thermal and energy storage frequency regulation system, effectively eliminating the risks of water level anomalies and steam-water two-phase flow caused by load fluctuations, and improving the safety, intelligence, and economy of system operation.

[0019] Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0020] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein: Figure 1 This is a flowchart illustrating a method for controlling the water level of a low-pressure heater under combined fire-storage frequency modulation, as proposed in an embodiment of this application. Figure 2 This is a schematic diagram of the water level control system for a low-pressure heater under combined fire and storage frequency regulation proposed in an embodiment of this application. Detailed Implementation

[0021] Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain the present invention, and should not be construed as limiting the present invention.

[0022] It should be noted that in the relevant embodiments, after the power plant is connected to the energy storage system, under low load conditions, the differential pressure of the low-pressure heater condensate decreases. Even with the low-pressure heater condensate regulating valve and the emergency condensate regulating valve fully open, the water level in the low-pressure heater remains high, posing a risk of cold steam and cold water entering the turbine. Operators need to manually open the condensate regulating bypass to maintain the low-pressure heater water level. Under high load conditions, the differential pressure at the low-pressure heater condensate increases. Since the low-pressure heater condensate regulating bypass is fully open, the water level in the low-pressure heater cannot be maintained at the normal level, which can easily cause two-phase flow of steam and water, posing a risk of pipeline vibration.

[0023] Therefore, this application proposes a method and system for water level management of a low-pressure heater under combined fire and storage frequency regulation, which can effectively solve the problems in the above-mentioned related embodiments.

[0024] The following description, with reference to the accompanying drawings, illustrates a method and system for water level control in a low-pressure heater under combined fire and storage frequency regulation, as proposed in an embodiment of this application.

[0025] Figure 1 This is a flowchart illustrating a method for controlling the water level of a low-pressure heater under combined thermal and energy storage frequency regulation, as proposed in an embodiment of this application. Figure 1 As shown, the method includes the following steps: Step S101: The manual door of the condensate regulating bypass of the target dual-row low-pressure heater to be treated is converted into an electric door, and a remote real-time regulating channel for the electric door is established.

[0026] It should be noted that the low-pressure heaters (hereinafter referred to as "low-pressure heaters") targeted in this application are core equipment of the regenerative system of thermal power units. Low-pressure heaters are typically numbered sequentially from low pressure to high pressure according to the steam extraction pressure level of the turbine (e.g., No. 1, No. 2... No. 7 and No. 8, etc.). This application can perform water level control on the low-pressure heater corresponding to any extraction stage. For example, it can perform water level control on low-pressure heater No. 7 (which corresponds to the 7th extraction stage of the turbine's low-pressure cylinder). Furthermore, low-pressure heaters in large-capacity thermal power units are generally arranged in a symmetrical double-row configuration to achieve mutual backup. If the low-pressure heater in row A fails and stops operating, row B can continue to operate, preventing the entire regenerative system from being interrupted. This application targets water level control for symmetrically configured double-row low-pressure heaters. For example, the target double-row low-pressure heaters for water level control in this application can be 7A and 7B.

[0027] Specifically, since the manual valve of the condensate regulating bypass of the double-row low-pressure heater is usually located high and difficult for operators to operate directly, this application changes the original manual valve of the condensate regulating bypass of the target double-row low-pressure heater to an electric valve and establishes a communication interaction channel for remote real-time adjustment, thereby facilitating remote direct operation by the back-end to control the water level of the target double-row low-pressure heater within the normal range.

[0028] In one embodiment of this application, the manual door of the condensate regulating bypass of the target dual-row low-pressure heater to be treated is modified into an electric door, and a remote real-time adjustment channel for the electric door is established, including: transmitting remote control signals of the electric door based on the communication protocol between the distributed control system (DCS) and the electric door; and setting the sampling frequency of the opening feedback signal of the electric door.

[0029] Specifically, in this embodiment, the mechanical structure of the manual bypass door for the low-pressure target dual-row low-pressure heater condensate regulating function is first modified by installing an electric actuator with PID control function, enabling it to automatically adjust its opening degree according to the instructions output by the control system. The control signal of the electric door is transmitted through a DCS (Distributed Control System) or PLC (Programmable Logic Controller) to achieve remote control. Furthermore, a real-time communication channel is established between the electric door and the main control system. For example, industrial communication protocols such as Modbus TCP or OPC UA can be used to ensure the real-time performance and reliability of the control signal, with a response time controllable within 100ms.

[0030] As one possible implementation, the first step is for the DCS system to interact with the electric gate via Modbus RTU or Modbus TCP. In the Modbus protocol, the DCS system acts as the master station, and the electric gate acts as the slave station. The master station periodically sends read and write requests to the slave station to obtain the current opening status of the electric gate or set a target opening value. Specifically, the DCS system accesses the Modbus register of the electric gate to read its actual opening percentage (0% to 100%), and writes the target opening value into the corresponding output register according to the preset control logic, thereby realizing remote control of the electric gate. In this embodiment, the control signal output frequency of the electric gate is 100ms to 500ms, and the response delay is controlled within 50ms to meet the high requirements of the combined fire and energy storage frequency regulation system for dynamic response.

[0031] To meet relevant parameter requirements, the control accuracy of the electric gate should reach ±1%, with a control range of 0% to 100%, and it should have a mechanism to prevent misoperation. A minimum step value (e.g., 5%) and a maximum change rate (e.g., 20% per second) can be set to prevent equipment damage or control instability due to sudden signal changes. The Modbus communication baud rate can be set to 9600–115200 bps to improve data transmission efficiency, and CRC (Cyclic Redundancy Check) is used for communication verification to ensure data integrity.

[0032] In practical applications, by incorporating the electric gate into the closed-loop control of the DCS system, operators can remotely set and adjust the gate opening from the control room without manual operation on-site, significantly improving operational convenience and system responsiveness. Especially under conditions of frequent unit load fluctuations, the DCS system can dynamically adjust the electric gate opening setting based on real-time water level and the gate's opening, thereby maintaining the low-pressure water level within the set range (e.g., 0–80 mm, 80–120 mm, etc.) and avoiding safety risks caused by excessively high or low water levels.

[0033] The second step is to set the sampling frequency of the electric gate opening feedback signal to [value missing]. By rationally configuring the sampling period of the feedback signal, the system can be ensured to respond quickly to changes in water level, thereby improving the dynamic performance and stability of the combined fire and storage frequency regulation system in low-level water control.

[0034] In practice, the opening feedback signal of the electric gate can be collected by a position sensor installed on the valve actuator. The sensor output signal is then converted from analog to digital (ADC) and processed by a PLC or DCS system. The sampling frequency is set to... The system acquires the actual opening value of the electric gate every 100 milliseconds and uses it as the input for closed-loop control. This sampling frequency can meet the dynamic adjustment requirements of the low water level under load fluctuations, while avoiding noise interference or increased system load due to excessively frequent sampling.

[0035] It should be noted that, at the parameter level, the sampling frequency setting needs to be considered in conjunction with the control accuracy requirements of the low-level water supply and the system response characteristics. Since the opening degree of the electric gate in this application needs to be controlled in segments based on the combined state of the water level and the main regulating gate opening, the sampling frequency setting directly affects the system's ability to capture water level changes. If the sampling period is too long (e.g., greater than...),... This could lead to a lag in regulation, making it impossible to respond promptly to abnormal water levels; conversely, if the sampling period is too short (e.g., less than...), it may cause a delay in regulation and an inability to respond promptly to abnormal water levels. If this is the case, signal jitter may cause control instability. Therefore, The sampling frequency strikes a good balance between real-time performance and stability.

[0036] Step S102: Construct an independent water level control system for the target dual-row low-pressure heater, and incorporate the adjustment range of the electric gate into the water level control system.

[0037] Specifically, due to fluctuations in unit load during actual operation, relevant personnel cannot adjust the target double-row low-pressure heater water level within the normal range in real time at every moment. Therefore, this application incorporates the adjustment range of the modified drain regulating bypass electric valve into the water level control system. Furthermore, this application also sets up a separate target double-row low-pressure heater water level control system to facilitate subsequent independent monitoring of the actual data of the target double-row low-pressure heater.

[0038] Step S103: Set the mapping relationship between the water level of the low-pressure heater and the opening of the low-pressure heater drain regulating valve, and the opening of the low-pressure heater drain regulating bypass electric valve. In the water level control system, monitor the water level of the target double-row low-pressure heater and the opening of the drain regulating valve in real time, input the real-time detection data into the mapping relationship, and automatically adjust the opening of the electric valve according to the mapping result.

[0039] Specifically, in the water level control system set in the previous step, the water level data of the target dual-row low-pressure heater and the opening degree of the drain regulating valve (hereinafter referred to as the drain regulating valve) are used in real time. Then, by using the preset low-pressure heater water level range and drain regulating valve opening range, and the mapping relationship between the drain regulating bypass (hereinafter referred to as the drain regulating bypass) electric valve opening, the real-time monitoring data is input into the mapping relationship to obtain the drain regulating bypass electric valve opening corresponding to the current real-time monitoring data. Thus, the opening degree of the drain regulating bypass electric valve can be automatically adjusted according to the obtained opening degree data.

[0040] In one embodiment of this application, the mapping relationship between the low-pressure heater water level and the opening degree of the low-pressure heater drain regulating valve, and the opening degree of the low-pressure heater drain regulating bypass electric door includes: setting a first set value corresponding to the low-pressure heater water level in a normal state, and a second set value corresponding to the activation of the low-pressure heater emergency drain regulating system; determining a water level range based on the first and second set values, and setting different water level ranges and the opening degree of the low-pressure heater drain regulating bypass electric door under the opening degree range of the low-pressure heater drain regulating valve.

[0041] For example, the preset water level reference values ​​in this embodiment include: a normal setting value of 80mm, an emergency drainage adjustment (which can be referred to as emergency drainage adjustment) setting value of 120mm, and a high-level separation value of 300mm. The opening degree of the electric gate next to the drainage adjustment is adjusted in stages according to the combination of water level and drainage adjustment gate opening.

[0042] Based on this, in this embodiment, real-time detection data is input into a mapping relationship, and the opening degree of the electric gate is automatically adjusted according to the mapping result, including: When the water level of the target double-row low-pressure heater is in the first water level range and the opening of the drain regulating valve is in the first range, the opening of the electric door is determined to be 0%, wherein the first water level range is from 0 to the first set value; When the water level of the target double-row low-pressure heater is in the first water level range and the opening of the drain regulating valve is in the second range, the opening of the electric gate is determined to be 20%. When the water level of the target double-row low-pressure heater is in the first water level range and the opening of the drain regulating valve is in the third range, the opening of the electric gate is determined to be 30%. When the water level of the target double-row low-pressure heater is in the second water level range and the opening of the drain regulating valve is in the first range, the opening of the electric door is determined to be 30%, wherein the second water level range is from the first set value to the second set value. When the water level of the target double-row low-pressure heater is in the second water level range and the opening of the drain regulating valve is in the second range, the opening of the electric gate is determined to be 40%. When the water level of the target double-row low-pressure heater is in the second water level range and the opening of the drain regulating valve is in the third range, the opening of the electric gate is determined to be 50%. When the water level of the target dual-row low-pressure heater is higher than the second set value and the opening of the drain regulating valve is higher than 100%, the opening of the electric door is determined to be 100%.

[0043] Referring to the water level reference values ​​set in the above examples, the opening degree of the low-pressure condensate drainage regulating bypass electric gate is automatically determined using measured data according to the predetermined mapping relationship, including the following cases: In the first case, when the water level of the low-pressure heater is between 0 and 80 mm and the opening of the low-pressure heater's regulating function is between 0 and 50%, the opening of the low-pressure heater's regulating function is determined to be 0%.

[0044] In the second scenario, when the water level of the low-pressure heater is between 0 and 80 mm and the opening of the low-pressure heater's regulating function is between 50 and 80%, the opening of the low-pressure heater's regulating function is determined to be 20%.

[0045] In the third scenario, when the water level of the low-pressure heater is between 0 and 80 mm and the opening of the low-pressure heater's regulating function is between 80 and 100%, the opening of the low-pressure heater's regulating function is determined to be 30%.

[0046] In the fourth case, when the water level of the low-pressure heater is between 80-120mm and the opening of the low-pressure heater's regulating function is between 0-50%, the opening of the low-pressure heater's regulating function is determined to be 30%.

[0047] In the fifth scenario, when the water level of the low-pressure heater is between 80-120 mm and the opening of the low-pressure heater's regulating function is between 50-80%, the opening of the low-pressure heater's regulating function is determined to be 40%.

[0048] In the sixth case, when the water level of the low-pressure heater is between 80-120 mm and the opening of the low-pressure heater's drainage adjustment is between 80-100%, the opening of the low-pressure heater's drainage adjustment is determined to be 50%.

[0049] In the seventh case, when the water level of the low-pressure heater is higher than 120 mm and the opening of the low-pressure heater's drainage adjustment is higher than 100%, the opening of the low-pressure heater's drainage adjustment is determined to be 100%.

[0050] In one embodiment of this application, after setting the mapping relationship between the low-pressure heater water level and the opening of the low-pressure heater drain regulating valve and the opening of the low-pressure heater drain regulating bypass electric door, the method further includes: setting the tripping value corresponding to the low-pressure heater tripping protection action; sending an alarm message to the staff when the water level of the target double-row low-pressure heater is close to the tripping value; and executing the low-pressure heater tripping protection when the water level of the target double-row low-pressure heater reaches the tripping value.

[0051] Specifically, in the safety protection system of the low-pressure heater of a thermal power unit, when the low-pressure heater water level exceeds the safety limit, a low-pressure heater disconnection protection action can be initiated to prevent major safety accidents such as turbine water ingress and equipment damage caused by excessively high low-pressure heater water levels. In this embodiment, the disconnection value is the critical water level value that triggers the disconnection protection action. This embodiment can implement a graded early warning logic for low-pressure heater water level protection, achieving gradient protection of early warning, intervention, and emergency isolation through multi-level water level setpoints. In this embodiment, the high disconnection value is the last level of this gradient.

[0052] For example, when the low-pressure water level reaches 120mm (the emergency evacuation setting value), a level one alarm is triggered; when the water level approaches 300mm (the high-pressure evacuation setting value), a level two audible and visual alarm is triggered, and various parameters under abnormal operating conditions are automatically recorded to provide a basis for troubleshooting. Simultaneously, the system supports a manual intervention mode, allowing operators to remotely adjust the opening of the evacuation bypass electric gate directly through the backend terminal under special operating conditions.

[0053] Step S104: Based on actual operating data, the setting value of the low-pressure heater condensate regulating bypass electric door opening in the mapping relationship is optimized using an AI learning algorithm.

[0054] Specifically, this application introduces AI learning technology to continuously learn from historical data during actual operation, making the setting of the hydrophobic regulation bypass electric door opening degree in the mapping relationship in the above embodiments more accurate, thereby continuously optimizing the opening degree setting parameters of the hydrophobic regulation bypass electric door based on actual operation data.

[0055] In one embodiment of this application, based on actual operating data, the set value of the opening of the low-pressure heater condensate regulating bypass electric valve in the mapping relationship is optimized by using an AI learning algorithm. This includes: inputting actual operating data as training data into a preset opening optimization model, wherein the model input parameters include the unit load status, the low-pressure heater water level, and the condensate regulating valve opening; and adjusting the set value of the electric valve opening in the mapping relationship according to the prediction error output by the opening optimization model.

[0056] Specifically, this embodiment utilizes AI learning technology to collect water level fluctuation data, gate operation data, and equipment operating status data under different unit loads and frequency regulation conditions, and optimizes the pre-established opening optimization model to dynamically correct the graded adjustment parameters.

[0057] One possible implementation involves training a neural network model using historical operating data. Input parameters include unit load status, real-time low-pressure water level, and valve opening. The valve opening setting is then adjusted based on the prediction error output by the model. The model error is calculated using the following formula: ,in For the theoretically optimal opening, This represents the actual opening degree.

[0058] The AI ​​learning algorithm can be based on supervised learning or reinforcement learning frameworks, using historical operating data for model training to extract the nonlinear relationship between load changes and water level response. Specifically, the system collects real-time operating parameters such as unit load, low-pressure water level, regulating valve opening, and regulating bypass electric valve opening to construct a multi-dimensional input feature vector. This is achieved by setting a target water level control range (e.g., ...). Based on the current load conditions, the AI ​​model can predict the optimal opening value of the bypass electric gate to achieve stable water level control. During operation, the model continuously receives feedback signals and iteratively optimizes the control strategy through error correction mechanisms (such as gradient descent).

[0059] In practice, the first step is to train a neural network model using historical operating data to achieve intelligent control of the low-pressure heater water level during frequency regulation of thermal power units. Specifically, the model's input parameters include the unit load status, real-time low-pressure heater water level, and the opening degree of the regulating valve. The output is the optimal opening control strategy for the bypass electric valve. This step, based on deep learning technology, aims to replace the traditional static settings that rely on operational experience with a data-driven approach, thereby improving the accuracy and adaptability of low-pressure heater water level control.

[0060] At the technical implementation level, the pre-built neural network model in this application can optionally employ structures such as Multilayer Perceptron (MLP) or Long Short-Term Memory (LSTM) networks to adapt to input data of different time series lengths. The training dataset consists of historical operating records of thermal power plants, covering unit load change curves, real-time data collected by low-level water level sensors, and the opening status of control valves. The data preprocessing stage includes normalization, missing value imputation, and sliding window construction to form a time series input format. The model input layer has three dimensions, corresponding to the unit load. Low water level Adjust the opening degree of the shunting gate The output layer contains the suggested opening value for the bypass electric gate. During model training, the mean squared error (MSE) is used as the loss function, i.e. ,in To adjust the lateral opening degree in practice, These are the model's predicted values.

[0061] Then, the setting value of the electric valve opening in the low-pressure heater control is dynamically adjusted based on the prediction error output by the model. First, the actual water level of the target dual-row low-pressure heater is collected. Compared with the theoretical optimal water level Real-time data. Theoretical optimal water level. Actual water level is typically predicted and generated by the system control model based on current unit load, historical operating data, and economic indicators (such as low-pressure heater differential). The data is collected by field sensors and fed back to the control system. Error calculation uses the mean absolute error (MAE) form, expressed by the following formula:

[0062] in, n Indicates the number of sampling points. i Indicates the firsti Each sampling time point. This formula is used to quantify the deviation between the model's predicted value and the actual value, thus providing a basis for subsequent adjustments to the opening setting.

[0063] Furthermore, according to The size of the opening is dynamically adjusted to change the opening setting of the bypass electric gate. For example, when... Exceeding the preset threshold (e.g.) When the water level is high, the system will trigger the opening adjustment logic, selecting the optimal opening setting value from seven preset opening combinations based on the current water level range and the opening status of the drainage gate. This setting value can be adjusted in a multi-dimensional way by combining different water level ranges and the opening status of the drainage gate.

[0064] Therefore, this embodiment can be continuously optimized by introducing an AI learning model. The calculation method and opening adjustment strategy are used to achieve more precise water level control.

[0065] In summary, the water level control method for low-pressure heaters under combined thermal and energy storage frequency regulation in this application embodiment, through the modification of electric gates and graded adjustment logic, can stably maintain the water level of the dual-row low-pressure heaters to be controlled near the normal set value, meeting the specified range requirements under different load conditions, stabilizing the low-pressure heater terminal differential within the economic index, and significantly improving the water level control accuracy. Automatic adjustment of the electric gate opening helps eliminate the hidden danger of unit pipeline vibration and reduces the safety risks of the unit. Furthermore, this method reduces the labor intensity of operators by replacing manual on-site operation with remote operation of the electric gate, reduces the need for real-time pressure adjustment by monitoring personnel based on the automatic control mode, and enhances the ability to adapt to different operating conditions through AI optimization, which is conducive to improving the unit's operating efficiency. By stabilizing the low-pressure heater terminal differential within the economic range, energy loss can be reduced, improving the economic efficiency of unit operation. Therefore, this method can achieve precise dynamic control of the water level of dual-row low-pressure heaters in a combined thermal and energy storage frequency regulation system, effectively eliminating the risks of water level anomalies and steam-water two-phase flow caused by load fluctuations, and improving the safety, intelligence, and economy of system operation.

[0066] To achieve the above embodiments, this application also proposes a water level control system for a low-pressure heater under combined thermal and energy storage frequency regulation. Figure 2 This is a schematic diagram of the water level control system for a low-pressure heater under combined fire-storage frequency regulation proposed in an embodiment of this application, as shown below. Figure 2 As shown, the system includes: Modification module 100 is used to convert the manual door of the condensate regulating bypass of the target dual-row low-pressure heater to an electric door, and to establish a remote real-time adjustment channel for the electric door.

[0067] Module 200 is used to build an independent water level control system for the target dual-row low-pressure heater, incorporating the adjustment range of the electric gate into the water level control system.

[0068] The adjustment module 300 is used to set the mapping relationship between the water level of the low-pressure heater and the opening of the low-pressure heater drain regulating valve, and the opening of the low-pressure heater drain regulating bypass electric gate. In the water level control system, the water level of the target double-row low-pressure heater and the opening of the drain regulating valve are monitored in real time. The real-time detection data is input into the mapping relationship, and the opening of the electric gate is automatically adjusted according to the mapping result.

[0069] The optimization module 400 is used to optimize the setting value of the low-pressure heater condensate regulating bypass electric door opening in the mapping relationship based on actual operating data and through AI learning algorithms.

[0070] In one embodiment of this application, the adjustment module 300 is specifically used for: setting a first set value corresponding to the low-pressure heater water level being in a normal state, and a second set value corresponding to the activation of the low-pressure heater emergency drainage adjustment system; determining a water level range based on the first set value and the second set value, and setting different water level ranges and the opening degree of the low-pressure heater drainage adjustment bypass electric door under the opening degree range of the low-pressure heater drainage adjustment valve.

[0071] It should be noted that the explanation of the above-described embodiment of the water level control method for the low-pressure heater under combined frequency regulation of the storage tank also applies to the system of this embodiment, and will not be repeated here.

[0072] In summary, the water level management system for the low-pressure heater under combined frequency regulation according to the embodiment of this application can maintain the water level of the low-pressure heater in a stable state and stabilize the terminal differential of the low-pressure heater by automatically adjusting the electric gate of the drain regulating bypass according to the range.

[0073] To implement the above embodiments, this application also proposes a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the water level control method for a low-pressure heater under combined fire and storage frequency modulation as described in any one of the first aspect embodiments above.

[0074] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0075] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "multiple" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0076] Any process or method description in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.

[0077] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0078] It should be understood that various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0079] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

[0080] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0081] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of this application.

Claims

1. A method for water level control in a low-pressure heater under combined thermal and energy storage frequency regulation, characterized in that, Includes the following steps: The manual door of the condensate regulating bypass of the target dual-row low-pressure heater to be treated is converted into an electric door, and a remote real-time regulating channel for the electric door is established. An independent water level control system is constructed for the target dual-row low-pressure heater, and the adjustment range of the electric gate is incorporated into the water level control system. A mapping relationship is set between the water level of the low-pressure heater and the opening of the low-pressure heater drain regulating valve, and the opening of the low-pressure heater drain regulating bypass electric valve. The water level of the target double-row low-pressure heater and the opening of the drain regulating valve are monitored in real time in the water level control system. The real-time detection data is input into the mapping relationship, and the opening of the electric valve is automatically adjusted according to the mapping result. Based on actual operating data, the setting value of the low-pressure heater condensate regulating bypass electric door opening in the mapping relationship is optimized using an AI learning algorithm.

2. The method according to claim 1, characterized in that, The mapping relationship between the set low-pressure heater water level and the opening degree of the low-pressure heater drain regulating valve, and the opening degree of the low-pressure heater drain regulating bypass electric valve includes: Set a first set value corresponding to the low-pressure heater water level being in a normal state, and a second set value corresponding to the activation of the low-pressure heater emergency drainage adjustment system; Based on the first set value and the second set value, a water level range is determined, and different water level ranges are set with the opening of the low-pressure heater drain regulating bypass electric door under the opening range of the low-pressure heater drain regulating valve.

3. The method according to claim 2, characterized in that, The step of inputting real-time detection data into the mapping relationship and automatically adjusting the opening degree of the electric gate according to the mapping result includes: When the water level of the target dual-row low-pressure heater is in the first water level range and the opening of the drain regulating valve is in the first range, the opening of the electric door is determined to be 0%, wherein the first water level range is from 0 to the first set value; When the water level of the target dual-row low-pressure heater is in the first water level range and the opening of the drain regulating valve is in the second range, the opening of the electric door is determined to be 20%. When the water level of the target dual-row low-pressure heater is in the first water level range and the opening of the drain regulating valve is in the third range, the opening of the electric door is determined to be 30%.

4. The method according to claim 3, characterized in that, The step of inputting real-time detection data into the mapping relationship and automatically adjusting the opening degree of the electric gate according to the mapping result further includes: When the water level of the target dual-row low-pressure heater is in the second water level range and the opening of the drain regulating valve is in the first range, the opening of the electric door is determined to be 30%, wherein the second water level range is from the first set value to the second set value; When the water level of the target dual-row low-pressure heater is in the second water level range and the opening of the drain regulating valve is in the second range, the opening of the electric gate is determined to be 40%. When the water level of the target dual-row low-pressure heater is in the second water level range and the opening of the drain regulating valve is in the third range, the opening of the electric gate is determined to be 50%. When the water level of the target dual-row low-pressure heater is higher than the second set value and the opening of the drain regulating valve is higher than 100%, the opening of the electric door is determined to be 100%.

5. The method according to claim 1, characterized in that, After establishing the mapping relationship between the low-pressure heater water level and the opening degree of the low-pressure heater drain regulating valve, and the opening degree of the low-pressure heater drain regulating bypass electric valve, the following is also included: Set the tripping value corresponding to the low-pressure heater tripping protection action, and send an alarm message to the staff when the water level of the target dual-row low-pressure heater approaches the tripping value; If the water level of the target dual-row low-pressure heater reaches the disconnection value, low-pressure heater disconnection protection is executed.

6. The method according to claim 1, characterized in that, The optimization of the setting value of the low-pressure heater condensate regulating bypass electric valve opening in the mapping relationship based on actual operating data and using an AI learning algorithm includes: The actual operating data is used as training data and input into a preset opening optimization model. The model input parameters include unit load status, low-pressure heater water level, and condensate regulating valve opening. The setting value of the electric gate opening in the mapping relationship is adjusted based on the prediction error output by the opening optimization model.

7. The method according to claim 1, characterized in that, The process of converting the manual door of the condensate regulating bypass of the target dual-row low-pressure heater to an electric door, and establishing a remote real-time regulating channel for the electric door, includes: Based on the communication protocol between the distributed control system (DCS) and the electric door, remote control signals for the electric door are transmitted. Set the sampling frequency of the opening feedback signal of the electric gate.

8. A water level control system for a low-pressure heater under combined thermal and energy storage frequency regulation, characterized in that, Includes the following modules: The modification module is used to convert the manual door of the condensate regulating bypass of the target dual-row low-pressure heater to an electric door, and to establish a remote real-time adjustment channel for the electric door. A construction module is used to construct an independent water level control system for the target dual-row low-pressure heater, and to incorporate the adjustment range of the electric gate into the water level control system. The adjustment module is used to set the mapping relationship between the water level of the low-pressure heater and the opening of the low-pressure heater drain regulating valve, and the opening of the low-pressure heater drain regulating bypass electric door. In the water level control system, the module monitors the water level of the target double-row low-pressure heater and the opening of the drain regulating valve in real time, inputs the real-time detection data into the mapping relationship, and automatically adjusts the opening of the electric door according to the mapping result. The optimization module is used to optimize the setting value of the low-pressure heater condensate regulating bypass electric door opening in the mapping relationship based on actual operating data and through AI learning algorithms.

9. The system according to claim 8, characterized in that, The adjustment module is specifically used for: Set a first set value corresponding to the low-pressure heater water level being in a normal state, and a second set value corresponding to the activation of the low-pressure heater emergency drainage adjustment system; Based on the first set value and the second set value, a water level range is determined, and different water level ranges are set with the opening of the low-pressure heater drain regulating bypass electric door under the opening range of the low-pressure heater drain regulating valve.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the water level control method for low-pressure heaters under combined fire and storage frequency regulation as described in any one of claims 1-7.

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