Method for collaborative optimization and low-carbon operation of thermal power plant boiler-thermal power system

Abstract

This invention discloses a method for coordinated optimization and low-carbon operation of a boiler-thermal power system in a thermal power plant, relating to the field of thermal power generation technology. The method includes: acquiring real-time fuel quality data, screening, drying, proportioning, and grinding the fuel to prepare qualified pulverized coal; dynamically adjusting the air-coal ratio based on unit load and combustion status, controlling furnace operating conditions and linking turbine parameters to maintain thermal system balance; collecting real-time equipment operating data, assessing remaining lifespan through a short-term memory network, and performing maintenance or parameter correction accordingly; recovering boiler and steam waste heat for plant heating, and coordinating the biomass co-firing ratio and pollutant capture parameters to achieve low-carbon emissions. This invention reduces coal consumption and heat loss by constructing a coordinated control system across the entire fuel-combustion-power chain; and achieves ultra-low emissions and a significant reduction in carbon emission intensity by combining equipment health management and waste heat low-carbon coupling technology.

Description

Technical Field

[0001] This invention relates to the field of thermal power generation technology, and in particular to a method for coordinated optimization and low-carbon operation of boiler-thermal power system in thermal power plants. Background Technology

[0002] Driven by the strategic goals of "peak carbon and carbon neutrality," my country's thermal power generation industry is facing a transformation from a "main source of electricity supply" to a "central hub for power system regulation," while simultaneously needing to consider three core requirements: power supply reliability, operational economy, and low-carbon emission reduction. However, the boiler-thermal power systems of current thermal power plants are constrained by their technical architecture and management models, resulting in multi-dimensional contradictions in actual operation. The existing technological system is unable to meet the synergistic requirements of new power systems and environmental standards. Summary of the Invention

[0003] The main objective of this invention is to provide a method for the coordinated optimization and low-carbon operation of boiler-thermal power systems in thermal power plants.

[0004] Another objective of this invention is to propose a device for the coordinated optimization and low-carbon operation of boiler-thermal power systems in thermal power plants.

[0005] The third objective of this invention is to provide an electronic device.

[0006] A fourth objective of this invention is to provide a non-transitory computer-readable storage medium.

[0007] To achieve the above objectives, a first aspect of the present invention proposes a method for coordinated optimization and low-carbon operation of boiler-thermal power systems in thermal power plants, comprising:

[0008] Obtain real-time quality data of the fuel, pre-treat the fuel based on the real-time quality data, and grind the pre-treated fuel to the target fineness to generate qualified coal powder; Based on the boiler unit load demand and the generated qualified pulverized coal, combustion status monitoring data is obtained, the ratio of air supply to coal feed is dynamically adjusted, the furnace combustion conditions are controlled, and the turbine power output parameters are simultaneously controlled to maintain the thermal system balance. Real-time data on the operating status of boiler heating surfaces and power equipment is collected and input into a long short-term memory network to calculate the remaining lifespan of the equipment. Based on the calculation results, anti-wear and anti-corrosion maintenance or parameter correction operations are performed. Waste heat from boiler flue gas combustion and steam transfer is used for plant heat supply, and the proportion of biomass fuel blending and the operating parameters of the pollutant capture system are controlled in conjunction to achieve low carbon emissions.

[0009] Optionally, the fuel may be screened, dried, and blended based on real-time quality data, including: The fuel is centrifugally separated and screened using a drum screener to obtain the screened fuel; The waste heat from boiler flue gas is used as a heat source to perform hot air drying on the screened fuel to obtain dry fuel. Based on the volatile matter and calorific value data collected by the integrated fully automatic industrial analyzer and calorific value meter, the PLC controller performs automatic coal blending operation to control the difference in calorific value between the coal entering the plant and the furnace within the range of ≤0.3MJ / kg, thus obtaining the blended fuel after proportioning treatment.

[0010] Optionally, based on the boiler unit load demand and the generated qualified pulverized coal, combustion status monitoring data is obtained, the ratio of air supply to coal feed is dynamically adjusted, the furnace combustion conditions are controlled, and the turbine power output parameters are simultaneously controlled to maintain the thermal system balance. This includes: obtaining real-time fuel quality data, pre-treating the fuel based on the real-time quality data, and grinding the pre-treated fuel to the target fineness to generate qualified pulverized coal. A wind-coal ratio-oxygen-NO3-coal ratio system was constructed based on a deep integration platform of DCS and SIS. x - A multivariate optimization model for turbine load dynamically adjusts the primary air rate based on the volatile matter content of the coal. Implement a secondary air distribution strategy, control the opening of upper-level dampers, and suppress NO. x It generates and simultaneously controls the opening of the lower-level air damper to enhance the combustion of pulverized coal; When the zirconia oxygen sensor detects a sudden change in oxygen level exceeding ±0.5%, it triggers the light oil injection and stable combustion system and stabilizes the excess air coefficient. The main steam pressure will be controlled within the design value + 0.1 MPa with fluctuations within ±0.1 MPa, and the main steam temperature and reheat steam temperature will be controlled within the design value ±5℃. The steam drum water level is controlled within ±25mm by using a differential pressure transmitter and conductivity dual verification. A two-stage regulating steam turbine with a rotor dynamic balancing accuracy of 0.03mm is used to perform dynamic balancing, ensuring a speed regulation response time of ≤1s. The power factor is then adjusted to 0.98 in real time via an SVG static var generator. 1.02.

[0011] Optionally, real-time data on the operating status of the boiler's heating surfaces and power equipment is collected and input into a long short-term memory network to calculate the remaining lifespan of the equipment. Based on the calculation results, anti-wear and anti-corrosion maintenance or parameter correction operations are performed, including: The system integrates an acoustic leak detector, an infrared thermal imager, and a pipe wall temperature sensor to collect real-time vibration, temperature, and pressure data of the boiler's heating surface and power equipment. Construct an integrated digital twin virtual model of the boiler and steam turbine with a mesh accuracy of 5mm; The real-time collected data is input into the Long Short-Term Memory Network algorithm to perform the remaining life prediction calculation. When the pipe wall temperature deviation exceeds ±20℃, an audible and visual warning is triggered and an assessment result of 30% extension of the maintenance cycle is generated.

[0012] Optionally, the proportion of biomass fuel blending and the operating parameters of the pollutant capture system can be synergistically controlled to achieve low carbon emissions, including: The calorific value is precisely controlled by a twin-screw feeder. The proportion of corn stalk briquettes used as biomass fuel is in ; To prevent incomplete combustion, a secondary air supplementary combustion operation with increased air volume is performed at the furnace outlet. Configure the liquid-to-gas ratio as follows: The limestone-gypsum wet desulfurization system and filtration velocity are The electrostatic precipitator and bag filter hybrid dust collector, and the amount of reducing agent injected is controlled at... To make Emission concentration .

[0013] To achieve the above objectives, a second aspect of the present invention provides a device for coordinated optimization and low-carbon operation of a boiler-thermal power system in a thermal power plant, comprising: The pretreatment module is used to acquire real-time quality data of the fuel, screen, dry and proportion the fuel based on the real-time quality data, and grind the processed fuel to the target fineness to generate qualified coal powder. The regulating module is used to dynamically adjust the ratio of air supply to coal feed based on unit load demand and combustion status monitoring data, control the furnace combustion conditions, and simultaneously regulate the turbine power output parameters to maintain the thermal system balance. The calculation module is used to collect real-time operating status data of boiler heating surfaces and power equipment, and input it into the short-term memory network to calculate the remaining life of the equipment. Based on the calculation results, it performs anti-wear and anti-corrosion maintenance or parameter correction operations. The energy-saving module is used to recover waste heat from boiler flue gas and steam transmission for the plant's heat supply, and to coordinate the control of the biomass fuel blending ratio and the operating parameters of the pollutant capture system to achieve low carbon emissions.

[0014] Regarding the apparatus in the above embodiments, the specific manner in which each module performs its operation has been described in detail in the embodiments related to the method, and will not be elaborated upon here.

[0015] To achieve the above objectives, a third aspect of this application provides an electronic device, including a processor and a memory; wherein the processor reads executable program code stored in the memory to run a program corresponding to the executable program code, for implementing the method for coordinated optimization and low-carbon operation of boiler-thermal power system in thermal power plants as described in the first aspect embodiment.

[0016] To achieve the above objectives, the fourth aspect of this application proposes a non-transitory computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the method for coordinated optimization and low-carbon operation of boiler-thermal power system in thermal power plants as described in the first aspect embodiment.

[0017] The embodiments of the present invention have the following beneficial effects: This application significantly reduces coal consumption and heat loss in power supply by constructing a collaborative closed-loop control system across the entire fuel-combustion-power chain, thereby improving boiler thermal efficiency and unit peak-shaving response speed. Combined with full-cycle health management of equipment and deep coupling technology of waste heat and low carbon emissions, it effectively reduces the risk of unplanned shutdowns and achieves ultra-low emissions of pollutants and a significant reduction in carbon emission intensity. Attached Figure Description

[0018] The above and / or additional aspects and advantages of the present invention will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein: Figure 1 A flowchart of a method for coordinated optimization and low-carbon operation of a boiler-thermal power system in a thermal power plant, provided as an embodiment of the present invention; Figure 2 This is a comparison result of the implementation of this invention over a period of 6 months; Figure 3 The diagram shows a structural design for a boiler-thermal power system collaborative optimization and low-carbon operation device for a thermal power plant, provided as an embodiment of the present invention. Detailed Implementation

[0019] It should be noted that, unless otherwise specified, the embodiments and features described in the present invention can be combined with each other. The present invention will now be described in detail with reference to the accompanying drawings and embodiments.

[0020] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0021] The following description, with reference to the accompanying drawings, describes a method and apparatus for coordinated optimization and low-carbon operation of boiler-thermal power systems in thermal power plants, according to embodiments of the present invention.

[0022] Example 1 This invention provides a method for the coordinated optimization and low-carbon operation of boiler-thermal power systems in thermal power plants, such as... Figure 1 As shown, the method includes the following steps: S1: Obtain real-time quality data of the fuel, pre-process the fuel based on the real-time quality data, and grind the pre-processed fuel to the target fineness to generate qualified coal powder.

[0023] To improve fuel combustion efficiency and operational stability, this application achieves precise control of coal quality, coal powder fineness, and combustion loss through four-level fuel management and coal powder pretreatment optimization.

[0024] In this embodiment, the fuel supply adopts a four-level intelligent control process of screening, drying, conveying, and coal blending. The screening section adopts... The 1200mm drum screener controls the equipment speed at 15-20 r / min and sets the screen aperture to 5-8mm. It uses centrifugal separation technology to ensure that the fuel particle size uniformity is not less than 90%.

[0025] In this embodiment, the drying section uses a hot air drying device, which uses the waste heat from boiler exhaust as a heat source to maintain the hot air temperature at 120-150°C, so that the fuel moisture content is kept stable in the range of 8%-10%, thus avoiding unstable combustion caused by excessive fuel moisture.

[0026] In this embodiment, the conveying pipeline is made of 310S high-temperature and wear-resistant alloy material, with a pipe wall thickness of 12-15mm, capable of withstanding temperatures not exceeding 1000℃. A smart flow sensor with RS485 communication function is installed every 50m along the conveying pipeline. This sensor has a measurement accuracy of ±0.5% and a range covering 20-100t / h. When the actual conveying volume deviates from the set value by more than ±5%, the system automatically adjusts the speed of the variable frequency coal feeder, with a speed adjustment range of 10-50r / min, achieving precise control of the fuel conveying volume.

[0027] In this embodiment of the application, a dynamic coal quality database is established. By integrating a fully automatic industrial analyzer with a measurement error of ±0.1% and a calorific value meter with an error of ±0.1MJ / kg, the volatile matter (Vdaf) and calorific value (Qnet.ar) data of coal are collected in real time. Automatic coal blending is performed through a PLC controller to control the calorific value difference between the coal entering the plant and the coal entering the furnace within 0.3MJ / kg.

[0028] In this embodiment, the pulverized coal pretreatment uses a double-inlet, double-outlet ball mill. By adjusting the opening of the separator baffle, the angle is controlled between 30° and 60°, ensuring that the pulverized coal fineness R90 is stable within ±2% of the design value. It is controlled according to the economic fineness formula R90 = (0.5nVdaf)%, where n is 4 to 6. For example, when the volatile matter Vdaf of the coal is 25%, the pulverized coal fineness R90 is controlled between 5% and 7.5%. In this embodiment, the system is equipped with an online fly ash carbon content monitor using laser transmission method, with a measurement accuracy of ±0.2%. When the detected fly ash carbon content exceeds 4%, the mill ventilation volume is automatically increased by 5% to 10%, while the coal feed rate is reduced by 3% to 5%, ensuring that the heat loss from incomplete combustion is no more than 1%, thus improving fuel utilization efficiency.

[0029] In this embodiment, through four-level intelligent fuel management and precise optimization of pulverized coal pretreatment, the fuel parameters, pulverized coal fineness and combustion loss are precisely controlled, thereby improving combustion efficiency and operational stability and laying the foundation for maintaining the balance of the thermal system.

[0030] S2, based on the boiler unit load demand and the generated qualified pulverized coal, obtains combustion status monitoring data, dynamically adjusts the ratio of air supply to coal supply, controls the furnace combustion conditions, and simultaneously controls the turbine power output parameters to maintain the thermal system balance. In order to achieve efficient and stable boiler operation and reduce energy consumption and emissions, this application constructs a multivariate optimization model based on the DCS and SIS fusion platform to achieve precise control of combustion parameters and key unit indicators.

[0031] In this embodiment of the application, the system sets the primary air rate in the range of 20% to 25% and dynamically adjusts it according to the volatile matter content (Vdaf) of the coal. For every 5% increase in Vdaf, the primary air rate decreases by 1% to match the air distribution with the coal quality characteristics.

[0032] In this embodiment, the secondary air employs a tiered air distribution strategy, controlling the opening of the upper damper at 60%–70% to suppress NO. x The lower-level damper opening is controlled at 30%–40% to enhance pulverized coal combustion, while the excess air coefficient is stabilized at 1.1–1.2, balancing combustion efficiency and environmental emissions. In this embodiment, the system monitors the combustion status in real time, equipped with a high-definition flame television with a resolution of 1920×1080 and a viewing angle of 120°, and a zirconium oxide oxygen sensor with a response time of no more than 2 seconds and a measurement range of 0–25% O2. When a sudden change in oxygen content exceeding ±0.5% is detected, the light oil injection and stable combustion system is automatically triggered, controlling the light oil flow rate at 50–100 kg / h and stabilizing the oil supply pressure at 0.8 MPa to ensure stable combustion and prevent flameout.

[0033] In this embodiment, the furnace negative pressure is controlled within ±50Pa by frequency conversion regulation of the induced draft fan. When the fluctuation exceeds ±100Pa, the system automatically adjusts the induced draft fan frequency in 0.5Hz steps to maintain stable furnace pressure. In this embodiment, the boiler operates at the red line pressure control strategy, controlling the main steam pressure at the design value +0.1MPa with a fluctuation range not exceeding ±0.1MPa, and controlling the main steam temperature and reheat steam temperature within the design value ±5℃. Multi-point thermocouples with a measurement error of ±1℃ are used for monitoring.

[0034] In this embodiment, the steam drum water level is strictly controlled within ±25mm using a dual verification method of differential pressure transmitter and conductivity, with a design reference value of 0mm. In this embodiment, the steam turbine adopts a two-stage regulating structure, achieving a rotor dynamic balance accuracy of 0.03mm and a speed regulation response time of no more than 1s, thus realizing dynamic balance and stable operation.

[0035] In this embodiment of the application, the system is equipped with an intelligent power factor compensation device with a capacity of 1000-1500 kVar, which is adjusted in real time by an SVG static var generator to stabilize the system power factor at 0.98-1.02, thereby improving the economic efficiency of unit operation.

[0036] In this embodiment, through deep integration of DCS and SIS and multivariate combustion optimization, the boiler operates at its red line and the unit parameters are precisely controlled, laying the foundation for subsequent calculation of the remaining lifespan of the equipment.

[0037] S3 collects real-time operating status data of boiler heating surfaces and power equipment, and inputs it into the long short-term memory network to calculate the remaining life of the equipment. Based on the calculation results, it performs anti-wear and anti-corrosion maintenance or parameter correction operations. In order to extend the service life of boiler equipment, reduce maintenance costs and ensure efficient and stable operation of the unit, this application implements wear and corrosion prevention and control, red line control and digital twin predictive maintenance.

[0038] In this embodiment of the application, for areas prone to erosion and wear, such as boiler cold ash hopper and burner outlet, 1Cr18Ni9Ti wear-resistant tiles with a thickness of 6-8mm and a hardness of HB180-200 are installed, and a WC-Co metal ceramic coating with a thickness of 0.2-0.3mm and a hardness of HV1200-1500 is sprayed on their surface, which can extend the service life of related components by 3-5 times.

[0039] In this embodiment, the water-cooled walls and screen-type superheaters in the high-temperature zone of the furnace are subjected to surface aluminizing treatment. The thickness of the aluminized layer is controlled between 0.1 and 0.15 mm, which can withstand high-temperature environments below 900°C and effectively inhibit high-temperature corrosion. The screen-type superheater pipes are thermally sprayed with Inconel 625 nickel-based alloy with a coating thickness of 0.1 mm, which improves the corrosion resistance of the pipes by 80%.

[0040] In this embodiment, the cold end of the air preheater is protected with an enamel coating with a thickness of 0.3 mm and a porosity of no more than 1%. At the same time, it is operated with a warm air heater with a steam pressure of 0.3 to 0.5 MPa and a heating temperature of 60 to 80°C, which can reduce the low-temperature corrosion rate by more than 90%.

[0041] In this embodiment, a boiler four-tube health online monitoring system is established, integrating an AL-600 acoustic leak detector with a sensitivity of -60dB and a detection range of 0-50m, a FLIR T660 infrared thermal imager with a temperature range of -20-1200℃ and an accuracy of ±1℃, and a PT100 tube wall temperature sensor with an accuracy of ±0.5℃. The system monitors the tube wall temperature status of the heated surface in real time, and immediately triggers an audible and visual alarm when the temperature deviation exceeds ±20℃.

[0042] In this embodiment, a boiler operating control strategy based on the red line pressure is implemented, controlling the main steam pressure at the design value +0.1 MPa, with an allowable fluctuation range of ±0.1 MPa. The main steam temperature and reheat steam temperature are controlled at the design value ±5℃, and accurate monitoring is achieved using multi-point thermocouples with a measurement error of ±1℃. In this embodiment, the steam drum water level uses a dual-verification method of differential pressure transmitter and conductivity to stably control the water level near the design value of 0 mm, with a deviation not exceeding ±25 mm.

[0043] In this embodiment, the steam turbine adopts a two-stage regulation structure, achieving a rotor dynamic balance accuracy of 0.03mm and a speed regulation system response time of no more than 1s, ensuring stable dynamic balance of the unit. In this embodiment, a smart power factor compensation device with a capacity of 1000-1500kVar is configured, and real-time adjustment is achieved through an SVG static var generator to maintain the system power factor within the range of 0.98-1.02, improving power efficiency. In this embodiment, an integrated digital twin virtual model of the boiler and steam turbine is constructed based on the Unity3D platform. The model mesh accuracy is 5mm, integrating 60 high-precision sensors for vibration, temperature, and pressure. An LSTM long short-term memory network algorithm is used to predict the remaining service life of the equipment, enabling predictive maintenance, which can extend the equipment maintenance cycle by 30% and reduce maintenance costs by 25%.

[0044] In this embodiment, by implementing wear and corrosion prevention and control, four-tube health monitoring, boiler operating at the red line, and digital twin predictive maintenance, the safe, stable, and efficient operation of the unit is ensured and maintenance costs are reduced, laying the foundation for achieving low-carbon emissions in the future.

[0045] S4 utilizes the waste heat from boiler flue gas combustion and steam transmission in the furnace for plant heat supply, and coordinates the control of biomass fuel blending ratio and pollutant capture system operating parameters to achieve low carbon emissions.

[0046] In this embodiment, the waste heat recovery system is linked to the plant's energy grid for control, enabling the cascade utilization of flue gas waste heat. In this embodiment, the amount of flue gas waste heat recovered is approximately 1.2 × 10⁻⁶. 6 kJ / h, this portion of heat is preferentially used for boiler feedwater preheating, which can reduce the boiler heat load by 5%. The remaining heat is used for heating the staff living area and fuel drying, with a heating coverage area of ​​10,000 to 15,000 square meters. The fuel drying process can replace the purchased heat source, achieving an annual saving of 100,000 cubic meters of natural gas.

[0047] In this embodiment, waste heat loss is controlled in the main steam pipeline. The pipeline uses P91 alloy steel pipe with a wall thickness of 28-30mm and a temperature resistance not exceeding 650℃, and is equipped with a double-layer insulation structure. The inner layer uses a material with a thickness of 80mm and a thermal conductivity not exceeding 0.04W / (m²). The high-temperature resistant glass wool (K) has an outer layer of 50mm thick rock wool, which reduces the heat loss from steam transmission to below 5%.

[0048] In this embodiment, corn stalk briquettes with a calorific value of 15–18 MJ / kg and a moisture content of 10%–12% are used as biomass fuel. A twin-screw feeder with a rotation speed of 10–20 r / min is used to precisely control the biomass blending ratio at 15%–25%. In this embodiment, a secondary air combustion supplement device is installed at the furnace outlet to increase the air volume by 10%–15% and control the air velocity at 25–30 m / s, preventing incomplete biomass combustion from causing an increase in the carbon content of fly ash.

[0049] In this embodiment, the unit undergoes a deep peak-shaving retrofit, optimizing the burner air distribution and reducing the primary air rate to 18%–20%. Combined with a plasma ignition system with an energy of 150–200kW and an ignition time of no more than 30s, the minimum stable combustion load of the unit is reduced to 28%–30% of the rated load. Taking a 1000MW unit as an example, it can operate stably in the 280–300MW range.

[0050] In this embodiment, carbon capture and pollutant synergistic control are achieved through a multi-stage device, using a staged combustion low-NOx burner with a reducing agent injection rate of 5–8 L / h, thereby reducing NOx emissions. xThe emission concentration shall not exceed 28 mg / m³; a limestone-gypsum wet desulfurization system with a liquid-to-gas ratio of 15-18 L / m³ shall be adopted, with a desulfurization efficiency of not less than 98% and an SO2 emission concentration of not more than 18 mg / m³; an electrostatic precipitator-bag filter with a filtration velocity of 1.2-1.5 m / min shall be adopted, with a dust removal efficiency of not less than 99.9% and a dust emission concentration of not more than 8.5 mg / m³; in this application embodiment, an amine absorption carbon capture system shall also be piloted, using 30% ethanolamine solution as absorbent, with a carbon capture rate of not less than 80%, and combined with carbon quota management, an annual carbon surplus of more than 5,000 tons shall be achieved.

[0051] In the embodiments of this application, energy conservation and carbon reduction, flexible operation and ultra-low emissions are achieved through waste heat cascade utilization, biomass co-firing, deep peak shaving transformation and pollutant and carbon capture and control.

[0052] Example 2 This invention relates to a system for coordinated optimization and low-carbon operation of a boiler-thermal power system in a thermal power plant, specifically comprising: Intelligent fuel-pretreatment coordinated control system.

[0053] 1. Intelligent Fuel Supply Management: A four-stage process of "screening-drying-conveying-coal blending" is adopted: The screening section is equipped with a Φ1200mm drum screener (speed 15~20r / min, screen aperture 5~8mm), using centrifugal separation technology to control fuel particle size uniformity ≥90%; the drying section uses a hot air drying device (heat source is waste heat from boiler flue gas, temperature 120~150℃) to stabilize fuel moisture at 8%~10%, avoiding unstable combustion due to excessive moisture; the conveying pipeline uses 310S high-temperature and wear-resistant alloy (wall thickness 12~15mm, temperature resistance ≤1000℃), every… A smart flow sensor with RS485 communication is configured every 50m (measurement accuracy ±0.5%, range 20~100t / h). When the conveying deviation exceeds ±5%, the speed of the variable frequency coal feeder is automatically adjusted (adjustment range 10~50r / min). A dynamic coal quality database is established: a fully automatic industrial analyzer (measurement error ±0.1%) and a calorific value meter (error ±0.1MJ / kg) are integrated to collect coal volatile matter (Vdaf) and calorific value (Qnet.ar) data in real time. Automatic coal blending is achieved through a PLC controller to control the difference in calorific value between coal entering the plant and entering the furnace to ≤0.3MJ / kg.

[0054] 2. Precise optimization of pulverized coal pretreatment: A double-inlet, double-outlet ball mill is adopted. By adjusting the opening of the separator baffle (angle 30°~60°), the fineness R90 of the pulverized coal is strictly controlled within ±2% of the design value, and follows the economic fineness formula: R90=(0.5nVdaf)% (where n=4~6, if Vdaf=25%, R90=5%~7.5%). An online monitoring instrument for fly ash carbon content is configured (measurement principle: laser transmission method, accuracy ±0.2%). When the carbon content of fly ash exceeds 4%, the ventilation volume of the pulverizer is automatically increased (increased by 5%~10%), while the coal feed rate is reduced (reduced by 3%~5%) to ensure that the heat loss due to incomplete combustion is ≤1%.

[0055] Boiler-power system combustion-heat loss closed-loop control.

[0056] 1. Precise cross-system combustion control: Based on a deeply integrated platform of DCS (Distributed Control System) and SIS (System-In-System), a system is established to control the "air-coal ratio - oxygen - NO" of combustion. x - Turbine load multivariate optimization model: Primary air ratio is controlled at 20%–25% (dynamically adjusted according to coal quality Vdaf; for every 5% increase in Vdaf, the primary air ratio decreases by 1%); secondary air adopts a "graded air distribution" strategy, with the upper damper opening at 60%–70% (to suppress NO). x The lower layer contains 30%–40% pulverized coal (enhanced combustion), with the excess air coefficient stabilized at 1.1–1.2. Combustion status monitoring: Equipped with a high-definition flame television (resolution 1920×1080, viewing angle 120°) and a zirconia oxygen sensor (response time ≤2s, measurement range 0–25% O2). When the oxygen content changes by more than ±0.5%, the light oil injection and stable combustion system is triggered (light oil flow rate 50–100 kg / h, supply pressure 0.8 MPa). The furnace negative pressure is controlled at ±50 Pa by the frequency converter of the induced draft fan. When the fluctuation exceeds ±100 Pa, the frequency of the induced draft fan is automatically adjusted (adjustment step 0.5 Hz).

[0057] 2. Comprehensive Systematic Management of Heat Loss: Flue Gas Heat Loss Control: A three-stage treatment system is adopted, consisting of shockwave soot blowing, a low-temperature economizer, and a condensing heat exchanger. The shockwave soot blower operates at a pressure of 0.8–1.2 MPa, with a blowing cycle of 2–4 hours, automatically adjusted according to the contamination level of the heated surfaces. The low-temperature economizer uses ND steel (8–10 mm wall thickness), and the condensing heat exchanger uses titanium tubes (1.5 mm wall thickness, corrosion resistant). This reduces the flue gas temperature from 140℃ to 85–90℃, recovering heat for boiler feedwater preheating (raising the feedwater temperature from 25℃ to 60–70℃), thus reducing boiler feedwater heating energy consumption. Heat Loss Control: The boiler body adopts a double-layer insulation structure (the inner layer is aluminum silicate cotton, 100–120 mm thick, with a thermal conductivity ≤0.03 W / (m²)). K); the outer layer is a colored profiled steel sheet with a thickness of 0.5mm), ensuring that the boiler surface temperature is ≤50℃ (when the ambient temperature is 25℃); ash and slag physical heat loss control: a water-sealed slag remover (slag removal capacity ≤100t / h) is used to control the slag discharge temperature at 180~200℃, and at the same time, heat is recovered through an ash and slag heat exchanger (heat exchange medium is circulating water) for plant area heating, reducing ash and slag heat loss to below 0.5%.

[0058] Integrated equipment health and intelligent control.

[0059] 1. Boiler-Power Equipment Wear and Corrosion Prevention Enhancement: Wear Control: Install 1Cr18Ni9Ti wear-resistant tiles (6-8mm thick, HB180-200 hardness) in easily worn areas such as the boiler cold ash hopper and burner outlet, and spray with WC-Co cermet coating (0.2-0.3mm thick, HV1200-1500 hardness) to extend equipment life by 3-5 times; Corrosion Control: The high-temperature zone of the furnace (water-cooled walls, screen-type superheaters) undergoes surface aluminizing treatment (aluminized layer thickness 0.1-0.15mm, temperature resistance ≤900℃). The superheater tubes are coated with Inconel 625 nickel-based alloy thermal spray (coating thickness 0.1mm, corrosion resistance improved by 80%); the cold end of the air preheater is coated with enamel (thickness 0.3mm, porosity ≤1%), and with the air heater (steam pressure 0.3~0.5MPa, heating temperature 60~80℃), the low-temperature corrosion rate is reduced by more than 90%; "Four-tube" health monitoring: integrated acoustic leak detector (model: AL-600, sensitivity -60dB, detection range 0~50m), infrared thermal imager (model: FLIR T660, temperature range -20~1200℃, accuracy ±1℃) and tube wall temperature sensor (model: PT100, accuracy ±0.5℃), to monitor the tube wall temperature in real time, and trigger an audible and visual alarm when the temperature deviation exceeds ±20℃.

[0060] 2. Precise parameter and dynamic balance control: Boiler operation "on the red line": Main steam pressure controlled at design value +0.1MPa (fluctuation range ±0.1MPa), main steam temperature / reheat steam temperature controlled at design value ±5℃ (using multi-point thermocouples, measurement error ±1℃); steam drum water level controlled within ±25mm (design value 0mm) through differential pressure transmitter + conductivity dual verification; turbine dynamic balance: adopting a two-stage regulating turbine (rotor dynamic balance accuracy 0.03mm), speed regulation response time ≤1s; configured with intelligent power... The power factor compensation device (capacity 1000-1500kVar) is adjusted in real time through the SVG static var generator to maintain the power factor between 0.98 and 1.02; predictive maintenance: based on digital twin technology (platform: Unity3D, mesh accuracy 5mm), an integrated virtual model of boiler-turbine is constructed, integrating 60 high-precision sensors (vibration, temperature, pressure), and predicting the remaining life of the equipment through the LSTM (Long Short-Term Memory) algorithm, extending the maintenance cycle by 30% and reducing maintenance costs by 25%.

[0061] Waste heat-low carbon deep coupling system.

[0062] 1. Deep Waste Heat Recovery and Multi-Scenario Utilization: The waste heat recovery system is linked with the plant's energy grid: exhaust waste heat (recovery amount approximately 1.2 × 10⁻⁶) 6 The heat generated (kJ / h) is primarily used for boiler feedwater preheating (reducing boiler heat load by 5%), with the remaining heat used for heating the staff living area (covering an area of ​​10,000–15,000 m²) and fuel drying (replacing purchased heat sources, saving 100,000 m³ of natural gas annually); Waste heat control during steam transmission: The main steam pipeline uses P91 alloy steel pipe (wall thickness 28–30 mm, temperature resistance ≤650℃), with double-layer insulation (the inner layer is high-temperature resistant glass wool, 80 mm thick, thermal conductivity ≤0.04 W / (m²)). K); the outer layer is rock wool, 50mm thick), reducing steam transmission heat loss to below 5%.

[0063] 2. Integrated Application of Low-Carbon Technologies: Biomass Co-combustion: Using corn stalk briquette biomass fuel (calorific value 15-18 MJ / kg, moisture 10%-12%), the blending ratio is precisely controlled (15%-25%) via a double-screw feeder (speed 10-20 r / min); secondary air supplementary combustion is set at the furnace outlet (air volume increased by 10%-15%, air velocity 25-30 m / s) to avoid incomplete biomass combustion leading to increased carbon content in fly ash; Deep Peak Shaving Retrofit: Optimizing burner air distribution (primary air rate reduced to 18%-20%), using a plasma ignition system (energy 150-200 kW, ignition time ≤30 s), reducing the unit's minimum stable combustion load to 28%-30% of rated load (e.g., a 1000 MW unit can stably operate at 280-300 MW); Carbon Capture and Pollutant Control: Equipped with low-NOx burners (staged combustion, reducing agent injection rate 5-8 L / h), NO... x The emission concentration is ≤28mg / m³; limestone-gypsum wet desulfurization (liquid-to-gas ratio 15-18L / m³, desulfurization efficiency ≥98%) is adopted, and the SO2 emission concentration is ≤18mg / m³; electrostatic precipitator-bag filter (filtration velocity 1.2-1.5m / min, dust removal efficiency ≥99.9%), and the smoke and dust emission concentration is ≤8.5mg / m³; a pilot amine absorption carbon capture system (absorbent is 30% ethanolamine solution, carbon capture rate ≥80%) is implemented, and combined with carbon quota management, the annual carbon surplus exceeds 5,000 tons.

[0064] A safety-economic-low-carbon security system.

[0065] 1. Safety management closed loop: Establish a "parameter monitoring-early warning-tiered response" mechanism: cut off fuel supply within 10 seconds when the boiler is extinguished (fuel trip valve action time ≤ 1 second); under load shedding conditions, suppress "false water level" through PID controller (proportional coefficient 0.5~1.0, integral time 10~20s) to avoid water level exceeding ±50mm.

[0066] 2. Management System: Implement the "Four Standards" (all work must have standards, all standards must be inspected, all inspections must have responsibilities, and all responsibilities must have rewards and penalties), and link indicators such as boiler thermal efficiency, coal consumption for power supply, and carbon emission intensity to team performance (e.g., for every 0.1% increase in thermal efficiency over the target value, the team bonus will increase by 2%).

[0067] 3. Dynamic evaluation: Collect core indicators (thermal efficiency, coal consumption, carbon emissions, equipment failure rate) monthly, and adjust and optimize parameters according to GB / T51106-2015 (e.g., shorten the shock wave soot blowing cycle by 1 hour for every 5°C increase in flue gas temperature) to ensure that the solution is adapted to the unit's operating requirements in the long term.

[0068] like Figure 2As shown, after 6 months of operation, the boiler thermal efficiency increased from 88.5% to 94.7% (an increase of 6.2%), saving 18,000 to 20,000 tons of standard coal annually for a 1000MW unit, reducing fuel costs by 23 to 25 million yuan; coal consumption for power generation decreased from 295g / kWh to 287.2g / kWh (a decrease of 7.8g / kWh), which is better than the GB / T 51106-2015 standard; the waste heat recovery rate reached 82% to 85%, saving 5 to 6 million yuan annually in purchased energy costs.

[0069] The leakage rate of the boiler's four tubes has been reduced from 2.8 times / year to 0.4 times / year, the number of unplanned shutdowns has been reduced by 55%, and the continuous operation cycle of the equipment has exceeded 9 months; the fluctuation range of the main steam parameters is controlled within ±0.1MPa (pressure) and ±5℃ (temperature) to avoid fatigue damage to the equipment.

[0070] Carbon emission intensity decreased from 800gCO2 / kWh to 624gCO2 / kWh (a reduction of 22%); the biomass co-firing ratio was flexible up to 25%, replacing 12,000 tons of standard coal annually; NO x The emission concentrations of SO2 and particulate matter were 26.3 mg / m³, 18.3 mg / m³, and 8.5 mg / m³, respectively, which are all better than the GB 13223-2011 standard.

[0071] The unit's minimum stable combustion load has been reduced to 28%, which can adapt to the demand for new energy consumption (such as peak shaving when wind power and photovoltaic output fluctuate); the fuel compatibility range covers bituminous coal, lean coal and biomass, and the ability to cope with coal price fluctuations has been improved by 30%.

[0072] Example 3 This invention provides a device for the coordinated optimization and low-carbon operation of boiler-thermal power systems in thermal power plants, such as... Figure 3 As shown, the device includes: The pretreatment module 100 is used to acquire real-time quality data of the fuel, pretreat the fuel based on the real-time quality data, and grind the pretreated fuel to the target fineness to generate qualified coal powder. The regulating module 200 is used to obtain combustion status monitoring data based on the boiler unit load demand and the generated qualified pulverized coal, dynamically adjust the ratio of air supply to coal feed, control the furnace combustion conditions, and simultaneously regulate the turbine power output parameters to maintain the thermal system balance. The calculation module 300 is used to collect real-time operating status data of boiler heating surfaces and power equipment, and input the data into the long short-term memory network to calculate the remaining lifespan of the equipment. Based on the calculation results, it performs anti-wear and anti-corrosion maintenance or parameter correction operations. The energy-saving module 400 is used to utilize the waste heat from boiler flue gas combustion and steam transmission in the furnace for plant heat supply, and to coordinate the control of biomass fuel blending ratio and pollutant capture system operating parameters to achieve low carbon emissions.

[0073] Regarding the apparatus in the above embodiments, the specific manner in which each module performs its operation has been described in detail in the embodiments related to the method, and will not be elaborated upon here.

[0074] Example 4 To implement the methods of the above embodiments, the present invention also provides an electronic device, which includes a memory and a processor; wherein the processor reads executable program code stored in the memory to run a program corresponding to the executable program code, so as to implement the various steps of the methods described above.

[0075] Example 5 To implement the above embodiments, this application also proposes a non-transitory computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the method described in the foregoing embodiments.

[0076] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

[0077] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of the present invention. 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.

[0078] 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 invention, "a plurality of" means at least two, such as two, three, etc., unless otherwise explicitly specified.

Claims

1. A method for collaborative optimization and low-carbon operation of a thermal power plant boiler-thermal power system, characterized in that, include: Obtain real-time quality data of the fuel, pre-treat the fuel based on the real-time quality data, and grind the pre-treated fuel to the target fineness to generate qualified coal powder; Based on the boiler unit load demand and the generated qualified pulverized coal, combustion status monitoring data is obtained, the ratio of air supply to coal feed is dynamically adjusted, the furnace combustion conditions are controlled, and the turbine power output parameters are simultaneously controlled to maintain the thermal system balance. Real-time data on the operating status of boiler heating surfaces and power equipment is collected and input into a long short-term memory network to calculate the remaining lifespan of the equipment. Based on the calculation results, anti-wear and anti-corrosion maintenance or parameter correction operations are performed. Waste heat from boiler flue gas combustion and steam transfer is used for plant heat supply, and the proportion of biomass fuel blending and the operating parameters of the pollutant capture system are controlled in conjunction to achieve low carbon emissions.

2. The method of claim 1, wherein, The fuel pretreatment based on real-time quality data includes: The fuel is centrifugally separated and screened using a drum screener to obtain the screened fuel; The waste heat from boiler flue gas is used as a heat source to perform hot air drying on the screened fuel to obtain dry fuel. Based on the volatile matter and calorific value data collected by the integrated fully automatic industrial analyzer and calorific value meter, the PLC controller performs automatic coal blending operation to control the difference in calorific value between the coal entering the plant and the furnace within the range of ≤0.3MJ / kg, thus obtaining the blended fuel after proportioning treatment.

3. The method of claim 1, wherein, Based on the boiler unit load demand and the generated qualified pulverized coal, combustion status monitoring data is obtained, and the ratio of air supply to coal feed is dynamically adjusted to control the furnace combustion conditions. Simultaneously, the turbine power output parameters are controlled in conjunction with these adjustments to maintain the thermal system balance. This includes: Based on a deep integration platform of DCS and SIS, a system for analyzing air-coal ratio, oxygen content, and NO was constructed. x - A multivariate optimization model for turbine load dynamically adjusts the primary air rate based on the volatile matter content of the coal. Implement a secondary air distribution strategy, control the opening of upper-level dampers, and suppress NO. x It generates and simultaneously controls the opening of the lower-level air damper to enhance the combustion of pulverized coal; When the zirconia oxygen sensor detects a sudden change in oxygen level exceeding ±0.5%, it triggers the light oil injection and stable combustion system and stabilizes the excess air coefficient. The main steam pressure will be controlled within the design value + 0.1 MPa with fluctuations within ±0.1 MPa, and the main steam temperature and reheat steam temperature will be controlled within the design value ±5℃. The steam drum water level is controlled within ±25mm by using a differential pressure transmitter and conductivity dual verification. A two-stage regulating steam turbine with a rotor dynamic balancing accuracy of 0.03mm is used to perform dynamic balancing, ensuring a speed regulation response time of ≤1s. The power factor is then adjusted to 0.98 in real time via an SVG static var generator. 1.

02.

4. The method according to claim 1, characterized in that, The system collects real-time operating status data of the boiler heating surface and power equipment, inputs it into the Long Short-Term Memory network to calculate the remaining lifespan of the device, and performs anti-wear and anti-corrosion maintenance or parameter correction operations based on the calculation results, including: The system integrates an acoustic leak detector, an infrared thermal imager, and a pipe wall temperature sensor to collect real-time vibration, temperature, and pressure data of the boiler's heating surface and power equipment. Construct an integrated digital twin virtual model of the boiler and steam turbine with a mesh accuracy of 5mm; The real-time collected data is input into the Long Short-Term Memory Network algorithm to perform the remaining life prediction calculation. When the pipe wall temperature deviation exceeds ±20℃, an audible and visual warning is triggered and an assessment result of 30% extension of the maintenance cycle is generated.

5. The method of claim 1, wherein, The coordinated control of the biomass fuel blending ratio and the operating parameters of the pollutant capture system to achieve low carbon emissions includes: The corn stalk briquette biomass fuel blending ratio is 10%-30% by precise control of the heat value of the corn stalk briquette biomass fuel by the double screw feeder . ; To prevent incomplete combustion, a secondary air supplementary combustion operation with increased air volume is performed at the furnace outlet. Configure the liquid-to-gas ratio as follows: The limestone-gypsum wet desulfurization system and filtration velocity are The electrostatic precipitator and bag filter hybrid dust collector, and the amount of reducing agent injected is controlled at... Make Emission concentration .

6. A device for collaborative optimization and low-carbon operation of a thermal power plant boiler-thermal power system, characterized in that, include: The pretreatment module is used to acquire real-time quality data of the fuel, pretreat the fuel based on the real-time quality data, and grind the pretreated fuel to the target fineness to generate qualified coal powder. The adjustment module is used to obtain combustion status monitoring data based on the boiler unit load demand and the generated qualified pulverized coal, dynamically adjust the ratio of air supply to coal feed, control the furnace combustion conditions, and simultaneously regulate the turbine power output parameters to maintain the thermal system balance. The calculation module is used to collect real-time operating status data of boiler heating surfaces and power equipment, and input it into the long short-term memory network to calculate the remaining life of the equipment. Based on the calculation results, it performs anti-wear and anti-corrosion maintenance or parameter correction operations. The energy-saving module is used to utilize the waste heat from boiler flue gas combustion and steam transmission in the furnace for plant heat supply, and to coordinate the control of biomass fuel blending ratio and pollutant capture system operating parameters to achieve low carbon emissions.

7. An electronic device, comprising: Including processor and memory; The processor reads executable program code stored in the memory to run a program corresponding to the executable program code, so as to implement the method as described in any one of claims 1-5.

8. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the method as described in any one of claims 1-5.

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