A coal-fired power plant control method and system based on coal powder storage and release mechanism

Abstract

The application discloses a coal-powder storage and release mechanism-based thermal power generating unit control method and system, and relates to the technical field of electric power energy production and heat supply. According to historical power grid load data, historical electric power market transaction information and weather forecast information, a power grid load prediction result in a future time period is predicted; according to the power grid load prediction result in the future time period and current time boiler state data, pulverizing state data and external coal bunker state, a control strategy is determined; the control strategy is a coal-powder storage strategy or a release strategy; in the case that the control strategy is the coal-powder storage strategy, a pulverizing system and a powder feeding device are controlled to store coal powder in an auxiliary external powder bunker to a target storage amount; in the case that the control strategy is the release strategy, a release instruction is sent to the auxiliary external powder bunker, so that the auxiliary external powder bunker delivers coal powder to a boiler of the thermal power generating unit according to the release strategy. The method can accurately regulate and control the thermal power generating unit.

Description

Technical Field

[0001] This invention relates to the field of power energy production and heat supply technology, and in particular to a control method and system for thermal power units based on a pulverized coal storage and release mechanism. Background Technology

[0002] As the proportion of renewable energy generation continues to increase, the power grid places higher demands on the peak-shaving capacity of thermal power units. Thermal power units need to frequently adjust their load to adapt to dynamic changes in grid load. However, existing pulverizing systems and fuel supply methods for thermal power units have certain limitations. Traditional pulverized coal storage and supply models are mostly static or semi-static, unable to quickly respond to sharp fluctuations in grid load.

[0003] On the one hand, when the grid load increases, the pulverizing system experiences a time delay from startup to reaching full load, and the pulverized coal reserves are difficult to adjust flexibly. This results in the unit being unable to rapidly increase fuel supply, leading to a sluggish load response and difficulty in meeting the grid's rapid peak-shaving needs. On the other hand, when the grid load decreases, excessive pulverized coal reserves not only increase storage costs and safety risks but may also cause ineffective operation of the pulverizing system, reducing the overall operating efficiency of the unit. Therefore, the control accuracy of thermal power units in existing technologies is relatively low. Summary of the Invention

[0004] Therefore, it is necessary to provide a control method and system for thermal power units based on a pulverized coal storage and release mechanism to address the aforementioned technical problems, thereby improving the accuracy of thermal power unit regulation.

[0005] The present invention adopts the following technical solution: This invention provides a control method for thermal power units based on a pulverized coal storage and release mechanism, comprising: Acquire historical power grid load data and historical electricity market transaction information for historical time periods, weather forecast information for future time periods, and current boiler status data and pulverizing system pulverizing status data; Based on historical power grid load data, historical electricity market transaction information, and weather forecast information, predict the power grid load for the future time period. Based on the power grid load forecast, boiler status data, pulverizing status data, and external coal bunker status for the future time period, a control strategy is determined; the control strategy is either a pulverized coal storage strategy or a release strategy. When the control strategy is a pulverized coal storage strategy, the pulverizing system and feeding equipment will store the amount of pulverized coal in the auxiliary external pulverized coal silo to the target storage amount. When the control strategy is a release strategy, a release command is sent to the auxiliary external pulverized coal silo so that the auxiliary external pulverized coal silo will transport pulverized coal to the boiler of the thermal power unit in accordance with the release strategy.

[0006] Optionally, based on historical grid load data, historical electricity market transaction information, and weather forecast information, the grid load forecast results for the future time period are predicted, including: Historical power grid load data, historical electricity market transaction information, and weather forecast information are input into a pre-built load forecast model to obtain power grid load forecast results for future time periods.

[0007] Optionally, a control strategy is determined based on the power grid load forecast, boiler status data, pulverizing status data, and external coal bunker status for a future time period, including: The power grid load forecast, boiler status data, pulverizing status data, and external coal bunker status for the future time period are input into a pre-built pulverized coal storage and release strategy model to obtain the control strategy.

[0008] Optionally, the pulverized coal storage strategy includes a target storage level; controlling the pulverizing system and feeding equipment to store pulverized coal in the auxiliary external pulverized coal silos to the target storage level, including: Send instructions to the pulverizing system to adjust the operating parameters of each device in the pulverizing system in order to adjust the pulverizing rate; The coal powder prepared by the pulverizing system after adjusting the operating parameters is stored in the auxiliary external pulverizing silo through the pulverizing equipment until the amount of coal powder stored in the auxiliary external pulverizing silo reaches the target storage amount.

[0009] Optionally, the release strategy includes release time, release rate, and release amount; sending a release command to the auxiliary external pulverized coal silo to cause the auxiliary external pulverized coal silo to transport pulverized coal to the boiler of the thermal power unit according to the release strategy includes: A release command is generated based on the release time, release rate, and release amount; The release command is sent to the release device of the auxiliary external pulverized coal silo, so that the release device controls the auxiliary external pulverized coal silo to deliver pulverized coal to the boiler of the thermal power unit according to the release time, release rate and release amount.

[0010] Optionally, the method further includes: When the control strategy is a release strategy, the operating parameters of the pulverizing system are adjusted according to the release status of the auxiliary external pulverizing silo and the boiler operating requirements. Pulverized coal is fed into the boiler of the thermal power unit according to the operating parameters of the pulverizing system.

[0011] Optionally, a release command is sent to the auxiliary external pulverized coal silo to cause the auxiliary external pulverized coal silo to deliver pulverized coal to the boiler of the thermal power unit according to the release strategy, including: When the grid load forecast indicates that the grid load will increase by 10% within a preset time period, the auxiliary external pulverizer will release pulverized coal to the boiler of the thermal power unit at a rate of 50 tons / hour, and send a pulverizing instruction to the pulverizing system to increase the pulverizing capacity of the pulverizing system by 20%.

[0012] This invention provides a control system for thermal power units based on a pulverized coal storage and release mechanism. The system includes an auxiliary external pulverized coal silo, a boiler operating parameter monitoring module, a pulverizing system status monitoring module, a power grid load prediction module, and a control module. An auxiliary external pulverized coal silo is used for storing pulverized coal; The power grid load forecasting module acquires historical power grid load data and historical electricity market transaction information for a historical period, as well as weather forecast information for a future period; based on the historical power grid load data, historical electricity market transaction information, and weather forecast information, it forecasts the power grid load for a future period. The boiler operating parameter monitoring module is used to collect boiler status data at the current moment. The pulverizing system status monitoring module is used to collect the pulverizing status data of the pulverizing system at the current moment; The control module is used to determine the control strategy based on the power grid load forecast, boiler status data, pulverizing status data, and external coal bunker status for a future time period. The control strategy is either a pulverized coal storage strategy or a release strategy. When the control strategy is a pulverized coal storage strategy, the module controls the pulverizing system and feeding equipment to store the pulverized coal in the auxiliary external coal bunker to the target storage level. When the control strategy is a release strategy, the module sends a release command to the auxiliary external coal bunker so that the auxiliary external coal bunker can deliver the pulverized coal to the boiler of the thermal power unit according to the release strategy.

[0013] The present invention provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the above-described control method for thermal power units based on a pulverized coal storage and release mechanism.

[0014] The present invention provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements the above-mentioned control method for thermal power units based on the coal powder storage and release mechanism.

[0015] The above-mentioned at least one technical solution adopted in this invention can achieve the following beneficial effects: In this invention, an auxiliary external pulverized coal silo is installed. Based on the power grid load forecast, boiler status data, pulverizing status data, and the status of the external coal silo within a future time period, a pulverized coal storage strategy or a release strategy is determined. When the control strategy is a pulverized coal storage strategy, the pulverizing system and feeding equipment are controlled to store the pulverized coal in the auxiliary external pulverized coal silo to the target storage level. When the control strategy is a release strategy, a release command is sent to the auxiliary external pulverized coal silo, causing it to deliver the pulverized coal to the boiler of the thermal power unit according to the release strategy. In this way, based on the dynamic storage and on-demand release mechanism of the auxiliary external pulverized coal silo, the unit can flexibly adjust within a wider load range. For example, when the power grid load increases, the stored pulverized coal can be released quickly. Compared with the traditional method, the load response time of the thermal power unit can be significantly shortened, quickly meeting the peak-shaving needs of the power grid and significantly improving the timeliness of response, thereby achieving precise control of the thermal power unit. Attached Figure Description

[0016] The accompanying drawings, which are included to provide a further understanding of the invention and form part of this invention, illustrate exemplary embodiments of the invention and are used to explain the invention, but do not constitute an undue limitation of the invention. In the drawings:

[0017] Figure 1 A schematic diagram of a thermal power unit control system based on a pulverized coal storage and release mechanism provided by the present invention; Figure 2 A schematic diagram of a control method for thermal power units based on a pulverized coal storage and release mechanism provided by the present invention; Figure 3 This invention provides a schematic diagram of a computer device for implementing a control method for thermal power units based on a pulverized coal storage and release mechanism. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below in conjunction with specific embodiments and corresponding drawings. Obviously, the described embodiments are only a part of the embodiments of this invention, and not all of them. Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention.

[0019] Furthermore, most existing technologies lack comprehensive analysis and coordinated control of boiler operating parameters, pulverizing system status, and grid load forecasting data, making it difficult to plan pulverized coal storage and release strategies in advance and failing to fully utilize the peak-shaving potential of thermal power units. Therefore, there is an urgent need for a mechanism that can achieve dynamic pulverized coal storage and on-demand release to improve the load response rate and peak-shaving capacity of thermal power units and enhance the stability and reliability of grid operation.

[0020] The technical solutions provided by the various embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0021] This invention provides a control system for thermal power units based on a pulverized coal storage and release mechanism. Figure 1 This is a schematic diagram of a thermal power unit control system based on a pulverized coal storage and release mechanism according to the present invention. The system includes an auxiliary external pulverized coal silo, a boiler operating parameter monitoring module, a pulverizing system status monitoring module, a power grid load prediction module, and a control module.

[0022] An auxiliary external pulverized coal silo is used for storing pulverized coal.

[0023] The power grid load forecasting module acquires historical power grid load data and historical electricity market transaction information for a historical period, as well as weather forecast information for a future period; based on the historical power grid load data, historical electricity market transaction information, and weather forecast information, it forecasts the power grid load for a future period. The boiler operating parameter monitoring module is used to collect boiler status data at the current moment. The pulverizing system status monitoring module is used to collect the pulverizing status data of the pulverizing system at the current moment; The control module is used to determine the control strategy based on the power grid load forecast, boiler status data, pulverizing status data, and external coal bunker status for a future time period. The control strategy is either a pulverized coal storage strategy or a release strategy. When the control strategy is a pulverized coal storage strategy, the module controls the pulverizing system and feeding equipment to store the pulverized coal in the auxiliary external coal bunker to the target storage level. When the control strategy is a release strategy, the module sends a release command to the auxiliary external coal bunker so that the auxiliary external coal bunker can deliver the pulverized coal to the boiler of the thermal power unit according to the release strategy.

[0024] The auxiliary external coal silo, as a core component of dynamic coal pulverization, is designed with full consideration of the safety of coal pulverization storage and the convenience of release. The silo is equipped with monitoring devices for temperature, humidity, and material level, providing real-time feedback on the coal pulverization status within the silo. This status is the external coal silo status, which includes the coal pulverization's temperature, humidity, and material level information, determined through measurements using thermometers, hygrometers, and level gauges, respectively.

[0025] Specifically, the auxiliary external pulverized coal silo is constructed of steel, with a smooth inner surface to prevent pulverized coal adhesion and accumulation. The silo capacity is determined based on the unit's rated power and peak-shaving requirements. For a 600MW thermal power unit, the silo is designed to have a capacity of 500 tons, sufficient to supply pulverized coal for at least 30 minutes during periods of maximum peak load variation. A radar level gauge is installed on the top of the silo to accurately measure the pulverized coal level in real time, with an accuracy of ±10 mm. Temperature and humidity sensors are also provided to monitor environmental parameters within the silo in real time; the temperature sensor has an accuracy of ±0.5 ℃, and the humidity sensor has an accuracy of ±2% RH. A release device, using an electric push-rod type discharge valve, is installed at the bottom of the silo. Its opening time is no more than 3 seconds, and the maximum discharge rate can reach 100 t / h, ensuring rapid and stable release of pulverized coal.

[0026] The power grid load forecasting module can acquire historical power grid load data and historical electricity market transaction information for historical periods, as well as weather forecast information for future periods. Using forecasting models such as time series analysis and neural network algorithms, it can accurately predict the power grid load for a period of time in the future.

[0027] The boiler operation parameter monitoring module collects boiler status data in real time through sensors. The boiler status data includes key operating parameters such as boiler load, steam pressure, steam temperature, furnace temperature, and oxygen content. The pulverizing system status monitoring module monitors the pulverizing system status data in real time. The pulverizing system status data includes data such as the operating power of the pulverizer, the outlet temperature of the coal mill, the fineness of the pulverized coal, and the speed of the coal feeder.

[0028] The boiler operation parameter monitoring module utilizes high-temperature resistant and high-precision sensors. It employs K-type thermocouples to measure furnace temperature, with a measurement range of 0–1800 ℃ and an accuracy of ±2 ℃; a pressure transmitter to measure steam pressure, with a range of 0–30 MPa and an accuracy of ±0.1% FS; and a zirconia oxygen analyzer to monitor oxygen content, with a measurement range of 0–25% and an accuracy of ±0.2%. In the pulverizing system status monitoring module, the pulverizer's operating power is measured using current and voltage transformers in conjunction with a power transmitter, with an accuracy of ±0.5%; the pulverizer outlet temperature is measured using a platinum resistance thermometer, with an accuracy of ±0.3 ℃; and pulverized coal fineness is detected in real-time using an online laser particle size analyzer, enabling rapid analysis of pulverized coal particle size distribution. The power grid load forecasting module connects to the power dispatch center's data platform via a dedicated communication interface to acquire historical load data, weather forecasts, and electricity market transaction information.

[0029] The boiler operation parameter monitoring module and the pulverizing system status monitoring module collect data at a set frequency. Key parameters such as boiler load, steam pressure, and steam temperature are collected once per second; parameters such as pulverizer operating power and coal mill outlet temperature are collected twice per second. The power grid load forecasting module updates forecast data from the power dispatch center every 15 minutes, and the collected data is transmitted to the control module via industrial Ethernet.

[0030] After collecting boiler status data and pulverizing system status data, the boiler operation parameter monitoring module and the pulverizing system status monitoring module can send the boiler status data and pulverizing status data to the control module.

[0031] The control module uses an industrial-grade programmable logic controller (PLC) as its core controller, possessing powerful data processing and logic control capabilities. It is also equipped with an industrial computer as the human-machine interface, installing custom-developed control software to achieve real-time data display, storage, analysis, and control strategy setting and adjustment. As the control center of the entire system, the control module communicates with various monitoring modules and actuators via the Modbus TCP / IP protocol, receiving and processing data transmitted from each module to ensure data transmission stability and real-time performance.

[0032] The control module integrates a specially designed intelligent algorithm based on big data analytics and machine learning. This algorithm comprehensively analyzes boiler operating parameters, pulverizing system status data, and grid load forecasts. During the pulverized coal storage phase, the intelligent algorithm calculates the optimal pulverized coal storage volume for different operating conditions by considering factors such as the pulverizing capacity of the pulverizing system, unit load variation trends, and the safe storage limits of the auxiliary external pulverized coal silos. It then generates corresponding storage strategies and controls the pulverizing system and feeding equipment to store pulverized coal to the target level. When grid load fluctuates, the intelligent algorithm quickly formulates a pulverized coal release strategy based on the magnitude and rate of load change and the current boiler operating status. This strategy includes release time, release rate, and release quantity. The algorithm then sends instructions to the release device of the auxiliary external pulverized coal silos to achieve on-demand pulverized coal release. Simultaneously, the control module adjusts the operating parameters of the pulverizing system based on the pulverized coal release situation to ensure that the pulverizing output matches the pulverized coal release output, maintaining the system's dynamic balance.

[0033] Based on the aforementioned control system for thermal power units based on the pulverized coal storage and release mechanism, a control method for thermal power units based on the pulverized coal storage and release mechanism is provided. Figure 2 This is a schematic diagram of a control method for thermal power units based on a pulverized coal storage and release mechanism according to the present invention. The method is described using the aforementioned system as the executing entity and specifically includes the following steps: S101 acquires historical power grid load data and historical electricity market transaction information for historical time periods, weather forecast information for future time periods, and current boiler status data and pulverizing system pulverizing status data.

[0034] S102, based on historical grid load data, historical electricity market transaction information and weather forecast information, predicts the grid load forecast results for the future time period.

[0035] The power grid load forecasting module can take the current moment as the starting point, obtain power grid load data and electricity market transaction information for a first preset time period before the current moment, and use the obtained power grid load data and electricity market transaction information as historical power grid load data and historical electricity market transaction information for historical time periods; and obtain weather forecast information for a second preset time period after the current moment, which is the weather forecast information for future time periods.

[0036] Optionally, based on historical grid load data, historical electricity market transaction information, and weather forecast information, the grid load forecast results for the future time period are predicted, including: inputting historical grid load data, historical electricity market transaction information, and weather forecast information into a pre-built load forecast model to obtain the grid load forecast results for the future time period.

[0037] S103. Based on the power grid load forecast, boiler status data, pulverizing status data, and external coal bunker status for the future time period, determine the control strategy; the control strategy is either a pulverized coal storage strategy or a release strategy.

[0038] Optionally, a control strategy is determined based on the power grid load forecast, boiler status data, pulverizing status data, and external coal bunker status for the future time period. This includes inputting the power grid load forecast, boiler status data, pulverizing status data, and external coal bunker status for the future time period into a pre-built coal pulverized material storage and release strategy model to obtain the control strategy.

[0039] In one embodiment, the process of constructing the load forecasting model and the pulverized coal storage and release strategy model includes the following steps: S201, Data Collection Phase.

[0040] Data sources are identified: multiple data collection points are clearly defined, including the boiler body (such as sensors for temperature, pressure, water level, combustion efficiency, etc.), the pulverizing system (pulverizer current, feeder speed, inlet and outlet air temperature, etc.), the external coal bunker (coal level, temperature, humidity, etc.), and the power grid side (real-time load, load forecast, etc.).

[0041] Data acquisition implementation: Using tools such as sensors, SCADA (Supervisory Control and Data Acquisition), and DCS (Distributed Control System), various types of data are collected at fixed time intervals and stored in a big data storage system.

[0042] S202, Data preprocessing stage.

[0043] Data cleaning: Using statistical analysis methods (such as mean and median imputation) to handle missing values, identify and correct outliers, and ensure data accuracy and completeness.

[0044] Data standardization: Standardize and normalize data of different types and ranges to make the data comparable and speed up model training.

[0045] Feature extraction: Extract valuable features from the raw data, such as calculating the load change rate and the trend of coal storage changes; use methods such as correlation analysis and principal component analysis (PCA) to screen out features closely related to load regulation and reduce data dimensionality.

[0046] S203, Model building and training phase.

[0047] (1) Load forecasting model Model selection: Time series analysis models or deep learning models can be used to predict load changes in the future based on historical power grid load data.

[0048] Training process: Divide historical load data into training set and validation set. Use training set to train the model. By continuously adjusting model parameters (such as learning rate, number of hidden layer neurons, etc.), minimize the error between predicted value and actual value (such as mean squared error MSE). Use validation set to evaluate model performance and prevent overfitting.

[0049] (2) Coal powder storage and release strategy model Model selection: Using regression or reinforcement learning models, the optimal pulverized coal reserve and release strategy are determined under different operating conditions based on load forecast results, boiler operating status, pulverizing system capacity, and external coal bunker status.

[0050] Training process: Construct a dataset containing input features (load prediction, boiler parameters, etc.) and target outputs (pulverized coal reserves, release time, release rate, etc.), and divide it into training and validation sets to train and optimize the model.

[0051] (3) Model for adjusting operating parameters of the pulverizing system Model selection: Machine learning algorithms (such as support vector machines and neural networks) are used to predict and adjust the operating parameters of the pulverizing system (such as mill speed and feed rate) based on the pulverized coal release and boiler operating requirements.

[0052] Training process: Based on historical pulverizing system operating data and corresponding boiler operating status, the model is trained to accurately predict the optimal operating parameters under different operating conditions.

[0053] S204, Real-time monitoring and control stage.

[0054] Real-time data acquisition: Continuously collect operational data from boilers, pulverizing systems, external coal bunkers, and power grids to ensure data timeliness.

[0055] Load forecasting execution: Real-time data is input into the load forecasting model to obtain the power grid load forecast results for a future period of time.

[0056] Strategy Formulation and Execution: Based on the load forecast results, the coal powder storage and release strategy model generates corresponding coal powder storage and release strategies, controls the coal powder feeding equipment of the external coal bunker, and realizes on-demand storage and release of coal powder; at the same time, the pulverizing system operation parameter adjustment model adjusts the pulverizing system operation parameters in real time according to the coal powder release situation to maintain the dynamic balance of the system.

[0057] S205, Feedback and Iteration Phase Anomaly feedback handling: During system operation, monitor for any abnormal situations in real time. Once an anomaly is detected, adjust the control strategy promptly and feed the anomaly information back into the model training so that the model can learn to cope with special situations.

[0058] Continuous iterative improvement: As the system runs longer and data accumulates, the entire intelligent control algorithm process is continuously optimized to improve the system's intelligence level and operating efficiency.

[0059] The principle behind the coal pulverized material storage and release strategy model is as follows: when the power grid load fluctuates, if the load increases, the auxiliary external coal pulverized material silo is controlled to release coal pulverized material quickly, while the pulverizing system is adjusted to increase the pulverizing output; if the load decreases, the coal pulverized material release from the auxiliary external coal pulverized material silo is appropriately reduced according to the boiler operation and coal pulverized material storage, and the pulverizing output of the pulverizing system is adjusted accordingly.

[0060] S104, when the control strategy is a pulverized coal storage strategy, the pulverizing system and the pulverizing equipment are controlled to store the amount of pulverized coal in the auxiliary external pulverized coal silo to the target storage amount.

[0061] When planning the coal pulverized coal storage capacity of the auxiliary external pulverized coal silo, factors such as the pulverizing capacity of the pulverizing system, the load change trend of the unit, and the safe storage capacity boundary of the auxiliary external pulverized coal silo should be considered.

[0062] Optionally, the pulverized coal storage strategy includes a target storage level; controlling the pulverizing system and feeding equipment to store the amount of pulverized coal in the auxiliary external pulverized coal silo to the target storage level, including: sending instructions to the pulverizing system to adjust the operating parameters of each device in the pulverizing system to adjust the pulverizing rate; and storing the pulverized coal prepared by the pulverizing system after adjusting the operating parameters in the auxiliary external pulverized coal silo through the feeding equipment until the amount of pulverized coal in the auxiliary external pulverized coal silo reaches the target storage level.

[0063] The operating parameters of each pulverizing equipment include parameters such as the speed of the coal feeder and the operating power of the coal mill. By adjusting parameters such as the speed of the coal feeder and the operating power of the coal mill, the pulverizing output can be increased. At the same time, the material level of the auxiliary external pulverizing silo is monitored in real time. When the material level reaches 95% of the target reserve, the control module issues a prompt and gradually reduces the pulverizing output of the pulverizing system. When the material level reaches the target reserve, the pulverizing system is stopped.

[0064] Among them, the adjustment of parameters such as the coal feeder speed and the coal mill operating power can be done by increasing a fixed increment or adjusting to a fixed threshold.

[0065] Alternatively, the coal feed rate and rotational speed of the coal feeder are usually approximately linearly related, and the specific formula can be expressed as: in, Q m Coal feed rate (t / h or kg / s); k This is a correction factor (considering factors such as coal moisture content, particle size, and internal friction of the coal feeder, and is usually calibrated experimentally, with a range of 0.8 to 0.95). n The feeder speed (r / min or r / s); ρ The bulk density of raw coal (kg / m³, which varies depending on the type of coal and is generally 800~1200 kg / m³). S The cross-sectional area of ​​the coal feeder (m², determined by the equipment structure); v This is the conveying speed coefficient (a linear coefficient that is proportional to the rotational speed).

[0066] For a given type of coal, within the rated output range, the power and coal feed rate can be approximately expressed as: in, P 0 represents the no-load power of the coal mill (power during idle operation, which is related to the equipment model and is approximately 30% to 50% of the rated power). k p The characteristic coefficient of the coal mill (kW·h / t, provided by the manufacturer or fitted through field tests); H It is the grindability coefficient of coal (the higher the hardness, the smaller the coefficient, and the higher the power required for the same coal feed).

[0067] S105, when the control strategy is the release strategy, a release command is sent to the auxiliary external pulverized coal silo so that the auxiliary external pulverized coal silo will transport pulverized coal to the boiler of the thermal power unit in accordance with the release strategy.

[0068] Optionally, the release strategy includes release time, release rate, and release amount; sending a release command to the auxiliary external pulverized coal silo to cause the auxiliary external pulverized coal silo to deliver pulverized coal to the boiler of the thermal power unit according to the release strategy includes: generating a release command based on the release time, release rate, and release amount; and sending the release command to the release device of the auxiliary external pulverized coal silo to cause the release device to control the auxiliary external pulverized coal silo to deliver pulverized coal to the boiler of the thermal power unit according to the release time, release rate, and release amount.

[0069] Release commands can include the release time, release rate, and release amount of the auxiliary external compartment.

[0070] Upon receiving a release command, the release device can release a preset amount of pulverized coal into the unit's combustion system within a set time.

[0071] Optionally, this embodiment further includes: when the control strategy is a release strategy, adjusting the operating parameters of the pulverizing system according to the release status of the auxiliary external pulverizing silo and the boiler operating requirements; and conveying pulverized coal to the boiler of the thermal power unit through the operating parameters of the pulverizing system.

[0072] Optionally, a release command is sent to the auxiliary external pulverized coal silo to deliver pulverized coal to the boiler of the thermal power unit according to the release strategy. This includes: when the grid load forecast result is that the grid load will increase by 10% within a preset time period, controlling the auxiliary external pulverized coal silo to release pulverized coal to the boiler of the thermal power unit at a rate of 50 tons / hour, and sending a pulverizing command to the pulverizing system to increase the pulverizing capacity of the pulverizing system by 20%.

[0073] Specifically, based on grid load forecasts and unit operation plans, the control module initiates a pulverized coal reserve program during periods of low grid load or stable unit operation. An intelligent algorithm calculates the target reserve amount; for example, if a grid load is predicted to increase in the next two hours, and the current unit load is stable, it calculates that 100 tons of pulverized coal need to be reserved to meet peak-shaving requirements. The control module sends instructions to the pulverizing system to adjust parameters such as the feeder speed and mill operating power to increase the pulverizing output. Simultaneously, it monitors the material level in the auxiliary external pulverized coal silo in real time. When the material level reaches 95% of the target reserve, the control module issues a prompt and gradually reduces the pulverizing output of the pulverizing system. When the material level reaches the target value, the pulverizing system stops.

[0074] When the power grid load fluctuates, the control module quickly formulates a pulverized coal release strategy based on the magnitude and rate of change in the power grid load and the current operating status of the boiler. For example, when the power grid load increases by 10% within 5 minutes, the control module instructs the release device of the auxiliary external pulverized coal silo to release pulverized coal at a rate of 50 tons / hour, while simultaneously sending an instruction to the pulverizing system to increase the pulverizing rate by 20% to maintain a stable pulverized coal reserve in the silo. During the release process, boiler operating parameters, such as steam pressure and temperature, are continuously monitored, and the pulverized coal release rate is adjusted in real time according to parameter changes. Once the power grid load stabilizes, the control module stops the pulverized coal release and recalculates the pulverized coal reserve in the silo. This calculation can be based on a comprehensive assessment of the pulverized coal silo size, pulverized coal release rate, pulverizing rate, and the original pulverized coal storage in the silo, ensuring a balance between the pulverized coal production and output in the silo.

[0075] In one embodiment, this application also provides a control method for thermal power units based on a pulverized coal storage and release mechanism. The method includes: a boiler operating parameter monitoring module, a pulverizing system status monitoring module, and a power grid load prediction module continuously collecting and transmitting data; then, after receiving the data, the control module uses intelligent algorithms for comprehensive analysis to plan the pulverized coal storage quantity and release strategy in the auxiliary external pulverized coal silo; during normal operation, the system stores pulverized coal according to the planned storage strategy; when the power grid load fluctuates, the auxiliary external pulverized coal silo, according to the release strategy formulated by the control module, delivers pulverized coal to the unit's combustion system through a release device, while the pulverizing system adjusts the pulverizing quantity according to the instructions of the control module to ensure rapid and stable load adjustment of the unit. Specifically, the method includes the following steps:

[0076] S1: Real-time acquisition of boiler operating parameters and pulverizing system status data.

[0077] S2: Perform power grid load forecasting.

[0078] S3: Input the collected boiler operating parameters, pulverizing system status data, and power grid load prediction results into the control module.

[0079] S4: The control module uses intelligent algorithms to plan the reserve and release strategy of pulverized coal in the external pulverized coal silo.

[0080] S5: When the power grid load fluctuates, the auxiliary external pulverized coal silo releases pulverized coal according to the release strategy formulated by the control module.

[0081] In one embodiment, after receiving boiler status data and pulverizing status data, the control module can filter the data to remove noise interference. It should be noted that the filtered boiler status data and pulverizing status data are also used when determining the control strategy.

[0082] The filtered boiler and pulverizing status data are compared and analyzed with historical data and set thresholds. For example, an early warning signal is issued when the furnace temperature exceeds the set upper limit of 1500℃. Simultaneously, machine learning algorithms are used to perform in-depth analysis of the filtered boiler and pulverizing status data, predicting equipment failures and performance degradation trends through equipment operation status models. For grid load forecast data, combined with the unit's own operating characteristics, time series analysis and neural network algorithms are used to optimize pulverized coal storage and release strategies.

[0083] After system installation, comprehensive commissioning is conducted. First, the sensors in each monitoring module are calibrated to ensure accurate data measurement. Then, the logic program of the control module is tested, simulating different grid load fluctuations and unit operating conditions to verify the effectiveness of the pulverized coal storage and release strategy. Through comparative analysis of actual operating data and theoretical calculation results, the intelligent algorithm is optimized and adjusted to continuously improve the system's response speed and control accuracy. Simultaneously, auxiliary external pulverized coal silos, release devices, and other equipment are regularly maintained to ensure normal operation and extend their service life.

[0084] This invention provides a dynamic coal pulverization and release mechanism. By establishing a dynamic storage and on-demand release system with an auxiliary external pulverized coal silo, combined with multi-source data monitoring and intelligent control strategies, it achieves precise coal pulverization and rapid release, effectively improving the response rate and peak-shaving capacity of thermal power units during grid load fluctuations, enhancing unit operation flexibility and economy, and ensuring stable grid operation. Compared with existing technologies, the beneficial effects of this invention are:

[0085] 1. In existing technologies, thermal power units struggle to quickly adjust fuel supply when grid load fluctuates due to delays in the pulverizing system and the static pulverized coal storage mode. This invention, through an auxiliary external pulverized coal silo release device and an intelligent control strategy based on multi-source data, can rapidly release stored pulverized coal when grid load increases. Compared to traditional methods, this significantly shortens the unit's load response time, quickly meets grid peak-shaving demands, and substantially improves response timeliness.

[0086] 2. Traditional pulverized coal storage and supply models limit the peak-shaving range and depth of thermal power units. The dynamic storage and on-demand release mechanism of this invention allows units to flexibly adjust within a wider load range, increasing peak-shaving depth by 30% to 50%, greatly enhancing the ability of thermal power units to cope with fluctuations in renewable energy generation, effectively alleviating grid peak-shaving pressure, and ensuring stable grid operation.

[0087] 3. Existing technologies lack comprehensive analysis of boiler, pulverizing system, and power grid load data, which can easily lead to ineffective operation of the pulverizing system and unreasonable coal pulverization. This invention, by real-time monitoring of boiler operating parameters, pulverizing system status, and power grid load forecast data, utilizes intelligent algorithms to collaboratively optimize the operation of the pulverizing system and the unit, reducing pulverizing system energy consumption by 15%~20%, reducing coal pulverization storage costs, and improving overall operating efficiency and economy.

[0088] 4. Existing technologies largely rely on human experience or simple control logic, making it difficult to adapt to complex and ever-changing operating conditions. This invention utilizes big data analytics and machine learning technologies to automatically plan pulverized coal reserves and release strategies through intelligent algorithms. This achieves intelligent management of the entire process from data collection and analysis to control execution, reducing human intervention, improving the accuracy and timeliness of decision-making, and enhancing the level of intelligence in thermal power unit operation.

[0089] When applying the thermal power unit control method based on pulverized coal storage and release mechanism provided by this invention, it is not necessary to... Figure 2 The steps shown are executed in sequence. The specific execution order of each step can be determined as needed, and this invention does not impose any restrictions on it.

[0090] Specific limitations regarding the control method for thermal power units based on pulverized coal storage and release mechanisms can be found in the limitations of the control system for thermal power units based on pulverized coal storage and release mechanisms described above, and will not be repeated here. Each module in the aforementioned control system for thermal power units based on pulverized coal storage and release mechanisms can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device in hardware form, or stored in the memory of a computer device in software form, so that the processor can call and execute the corresponding operations of each module.

[0091] The present invention also provides a computer-readable storage medium storing a computer program that can be used to execute the above-described... Figure 2 A control method for thermal power units based on pulverized coal storage and release mechanism is provided.

[0092] The present invention also provides Figure 3 The schematic diagram of the computer device shown is as follows: Figure 3 As shown, at the hardware level, this computer device includes a processor, internal bus, network interface, memory, and non-volatile memory, and may also include other hardware required for business operations. The processor reads the corresponding computer program from the non-volatile memory into memory and then executes it to achieve the above. Figure 2 A control method for thermal power units based on pulverized coal storage and release mechanism is provided.

[0093] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the methods described above. Any references to memory, storage, databases, or other media used in the embodiments provided by this invention can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, or optical storage, etc. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.

[0094] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this invention.

Claims

1. A control method for thermal power units based on pulverized coal storage and release mechanism, characterized in that, include: Acquire historical power grid load data and historical electricity market transaction information for historical time periods, weather forecast information for future time periods, and current boiler status data and pulverizing system pulverizing status data; Based on historical power grid load data, historical electricity market transaction information, and weather forecast information, predict the power grid load for the future time period. Based on the power grid load forecast, boiler status data, pulverizing status data, and external coal bunker status for the future time period, a control strategy is determined; the control strategy is either a pulverized coal storage strategy or a release strategy. When the control strategy is a pulverized coal storage strategy, the pulverizing system and feeding equipment will store the amount of pulverized coal in the auxiliary external pulverized coal silo to the target storage amount. When the control strategy is a release strategy, a release command is sent to the auxiliary external pulverized coal silo so that the auxiliary external pulverized coal silo will transport pulverized coal to the boiler of the thermal power unit in accordance with the release strategy.

2. The method according to claim 1, characterized in that, The prediction of grid load for a future period based on historical grid load data, historical electricity market transaction information, and weather forecast information includes: Historical power grid load data, historical electricity market transaction information, and weather forecast information are input into a pre-built load forecast model to obtain power grid load forecast results for future time periods.

3. The method according to claim 1, characterized in that, The process of determining a control strategy based on power grid load forecasts, boiler status data, pulverizing status data, and external coal bunker status for a future time period includes: The power grid load forecast, boiler status data, pulverizing status data, and external coal bunker status for the future time period are input into a pre-built pulverized coal storage and release strategy model to obtain the control strategy.

4. The method according to claim 1, characterized in that, The pulverized coal storage strategy includes a target storage level; controlling the pulverizing system and feeding equipment to store pulverized coal in auxiliary external silos to the target storage level, including: Send instructions to the flour milling system, the instructions being used to adjust the operating parameters of each device in the flour milling system in order to adjust the flour production rate; The coal powder prepared by the pulverizing system after adjusting the operating parameters is stored in the auxiliary external pulverizing silo through the pulverizing equipment until the amount of coal powder stored in the auxiliary external pulverizing silo reaches the target storage amount.

5. The method according to claim 1, characterized in that, The release strategy includes release time, release rate, and release amount; sending release commands to the auxiliary external pulverized coal silos to ensure that the auxiliary external pulverized coal silos deliver pulverized coal to the boiler of the thermal power unit according to the release strategy includes: A release command is generated based on the release time, release rate, and release amount; The release command is sent to the release device of the auxiliary external pulverized coal silo, so that the release device controls the auxiliary external pulverized coal silo to deliver pulverized coal to the boiler of the thermal power unit according to the release time, release rate and release amount.

6. The method according to claim 1, characterized in that, The method further includes: When the control strategy is a release strategy, the operating parameters of the pulverizing system are adjusted according to the release status of the auxiliary external pulverizing silo and the boiler operating requirements. Pulverized coal is fed into the boiler of the thermal power unit according to the operating parameters of the pulverizing system.

7. The method according to claim 1, characterized in that, Sending a release command to the auxiliary external pulverized coal silo, so that the auxiliary external pulverized coal silo delivers pulverized coal to the boiler of the thermal power unit according to the release strategy, includes: When the grid load forecast indicates that the grid load will increase by 10% within a preset time period, the auxiliary external pulverizer will release pulverized coal to the boiler of the thermal power unit at a rate of 50 tons / hour, and send a pulverizing instruction to the pulverizing system to increase the pulverizing capacity of the pulverizing system by 20%.

8. A control system for thermal power units based on a pulverized coal storage and release mechanism, characterized in that, The system includes an auxiliary external pulverizing silo, a boiler operating parameter monitoring module, a pulverizing system status monitoring module, a power grid load prediction module, and a control module. An auxiliary external pulverized coal silo is used for storing pulverized coal; The power grid load forecasting module acquires historical power grid load data and historical electricity market transaction information for a historical period, as well as weather forecast information for a future period; based on the historical power grid load data, historical electricity market transaction information, and weather forecast information, it forecasts the power grid load for a future period. The boiler operating parameter monitoring module is used to collect boiler status data at the current moment. The pulverizing system status monitoring module is used to collect the pulverizing status data of the pulverizing system at the current moment; The control module is used to determine the control strategy based on the power grid load forecast, boiler status data, pulverizing status data, and external coal bunker status for a future time period. The control strategy is either a pulverized coal storage strategy or a release strategy. When the control strategy is a pulverized coal storage strategy, the module controls the pulverizing system and feeding equipment to store the pulverized coal in the auxiliary external coal bunker to the target storage level. When the control strategy is a release strategy, the module sends a release command to the auxiliary external coal bunker so that the auxiliary external coal bunker can deliver the pulverized coal to the boiler of the thermal power unit according to the release strategy.

Images