Thermal power generation metering optimization method combined with boiler heat distribution

Abstract

The present invention discloses a thermal power generation metering optimization method combined with boiler heat distribution, which relates to the technical field related to thermal power generation. The method includes: receiving boiler control instructions of thermal power generation boilers according to boiler control terminals; simulating and controlling thermal power generation boilers to establish a multivariate distribution model of boilers; evaluating boiler control schemes according to boiler power generation fitness metering channels; judging whether boiler power generation fitness is less than boiler power generation fitness threshold; if less than, optimizing and adjusting the boiler control schemes to generate boiler control optimization strategies; sending the boiler control optimization strategies to boiler control terminals, and the boiler control terminals perform thermal power generation according to the boiler control optimization strategies. The method solves the technical problems existing in the prior art that the boiler control mode is single and the control strategy cannot be dynamically optimized according to the heat distribution, resulting in inaccurate power generation metering and low power generation efficiency, and achieves the technical effect of improving the accuracy of thermal power generation metering and boiler operation efficiency.

Description

Technical Field

[0001] The present application relates to the technical field related to thermal power generation, and in particular to a thermal power generation metering optimization method combined with boiler heat distribution. Background Art

[0002] As an important equipment for energy production, the power generation efficiency and energy consumption performance of traditional thermal power generation boilers are directly related to the benefits and environmental protection of power companies. Due to the complex combustion process inside the boiler, its heat distribution is extremely uneven. How to achieve efficient distribution of boiler heat and energy utilization has become a key link. During the operation of the boiler, the combustion efficiency of the fuel is affected by many factors, such as burner configuration, air and fuel ratio adjustment, and temperature distribution in the combustion area. However, most boilers rely on manual or simple automatic control methods to adjust operating parameters, resulting in low fuel utilization and large heat loss. The current power generation metering optimization lacks global control of the overall operating status of the boiler, and it is difficult to fully consider the complexity of the heat distribution inside the boiler, resulting in the inability to adapt to modern high-load power generation needs, resulting in reduced overall power generation efficiency or damage to boiler components due to overheating, and slow response speed and insufficient adjustment accuracy, further limiting the operating efficiency of the boiler.

[0003] At present, relevant technologies have the technical problems of single boiler control method and inability to dynamically optimize control strategy according to heat distribution, resulting in inaccurate metering and low power generation efficiency. Summary of the invention

[0004] This application solves the technical problems in the prior art of single boiler control method and inability to dynamically optimize control strategy according to heat distribution, resulting in inaccurate metering and low power generation efficiency by providing a thermal power generation metering optimization method combined with boiler heat distribution, thereby achieving the technical effect of improving the accuracy of thermal power generation metering and boiler operation efficiency.

[0005] The present application provides a thermal power generation metering optimization method combined with boiler heat distribution, comprising: receiving a boiler control instruction of a thermal power generation boiler according to a boiler control end, wherein the boiler control instruction includes a boiler control scheme corresponding to a target thermal power generation demand; simulating and controlling the thermal power generation boiler based on the boiler control scheme, and establishing a boiler multivariate distribution model; evaluating the boiler control scheme according to a boiler power generation fitness metering channel based on the boiler multivariate distribution model, and obtaining the boiler power generation fitness; judging whether the boiler power generation fitness is less than a boiler power generation fitness threshold; if the boiler power generation fitness is less than the boiler power generation fitness threshold, optimizing and adjusting the boiler control scheme according to the target thermal power generation demand and the boiler power generation fitness threshold based on the boiler power generation fitness metering channel, and generating a boiler control optimization strategy; sending the boiler control optimization strategy to the boiler control end, and the boiler control end controls the thermal power generation boiler to perform thermal power generation according to the boiler control optimization strategy.

[0006] In a possible implementation, based on the boiler multivariate distribution model, the boiler control scheme is evaluated according to the boiler power generation fitness metering channel to obtain the boiler power generation fitness, and the following processing is also performed: the boiler power generation fitness metering channel includes a boiler power generation evaluation branch, a power generation evaluation verification branch and a power generation fitness metering branch; based on the boiler multivariate distribution model, according to the boiler power generation evaluation branch, a boiler power generation evaluation result is obtained; the boiler power generation evaluation result is input into the power generation evaluation verification branch to obtain the power generation evaluation verification result; when the power generation evaluation verification result is passed, the boiler power generation evaluation result is input into the power generation fitness metering branch to output the boiler power generation fitness.

[0007] In a possible implementation, based on the boiler multivariate distribution model, according to the boiler power generation evaluation branch, a boiler power generation evaluation result is obtained, and the following processing is also performed: the boiler power generation evaluation branch includes a boiler heat loss evaluation model, a boiler emission impact evaluation model and a boiler power generation quality evaluation model; according to the boiler multivariate distribution model, the boiler heat distribution data, the boiler emission distribution data and the boiler power generation distribution data are read; the boiler heat distribution data is input into the boiler heat loss evaluation model to obtain a boiler heat loss evaluation coefficient; the boiler emission distribution data is input into the boiler emission impact evaluation model to obtain a boiler emission impact evaluation coefficient; the boiler power generation distribution data is input into the boiler power generation quality evaluation model to obtain a boiler power generation quality evaluation coefficient; the boiler heat loss evaluation coefficient, the boiler emission impact evaluation coefficient and the boiler power generation quality evaluation coefficient are output as the boiler power generation evaluation result.

[0008] In a possible implementation, the power generation evaluation verification branch includes a power generation evaluation verification operator, and also performs the following processing: if the boiler power generation evaluation result satisfies the power generation evaluation constraints, the power generation evaluation verification result is passed, wherein the power generation evaluation constraints include heat loss evaluation constraints, emission impact evaluation constraints, and power generation quality evaluation constraints; if the boiler power generation evaluation result does not satisfy the power generation evaluation constraints, the power generation evaluation verification result is failed, and the boiler power generation fitness is output as a null value.

[0009] In a possible implementation, the power generation fitness measurement branch includes a power generation fitness measurement function, and further performs the following processing: the power generation fitness measurement function is:

[0010] PGF=GQW*K(PGQ)-HLW*K(HLS)-EIW*K(EIA);

[0011] Among them, PGF represents the boiler power generation adaptability, GQW represents the predetermined weight of power generation quality, K(PGQ) represents the normalized boiler power generation quality evaluation coefficient, HLW represents the predetermined weight of heat loss, K(HLS) represents the normalized boiler heat loss evaluation coefficient, EIW represents the predetermined weight of emission impact, and K(EIA) represents the normalized boiler emission impact evaluation coefficient.

[0012] In a possible implementation, if the boiler power generation fitness is less than the boiler power generation fitness threshold, based on the boiler power generation fitness metering channel, the boiler control scheme is optimized and adjusted according to the target thermal power generation demand and the boiler power generation fitness threshold, and a boiler control optimization strategy is generated, and the following processing is also performed: according to the target thermal power generation demand, the boiler control scheme is adjusted to establish a boiler control adjustment space; according to the boiler control adjustment space, a first boiler control adjustment scheme is extracted; according to the boiler power generation fitness metering channel, the first boiler control adjustment scheme is evaluated to obtain the power generation fitness of the first adjustment scheme; it is determined whether the power generation fitness of the first adjustment scheme is greater than or equal to the boiler power generation fitness threshold; if the power generation fitness of the first adjustment scheme is greater than or equal to the boiler power generation fitness threshold, the first boiler control adjustment scheme is added to the boiler control optimization strategy; if the power generation fitness of the first adjustment scheme is less than the boiler power generation fitness threshold, the boiler control adjustment space is continued to be iteratively optimized according to the boiler power generation fitness metering channel and the boiler power generation fitness threshold until the boiler control optimization strategy is obtained.

[0013] In a possible implementation, the boiler control scheme is adjusted according to the target thermal power generation demand, a boiler control adjustment space is established, and the following processing is performed: taking the target thermal power generation demand as a retrieval constraint, a control scheme is retrieved for the thermal power generation boiler to obtain a retrieved boiler control scheme set; the control parameter range is parsed according to the retrieved boiler control scheme set to generate a boiler control trigger domain; taking the target thermal power generation demand as the boiler control target, the boiler control scheme is adjusted according to the boiler control trigger domain to generate the boiler control adjustment space.

[0014] In a possible implementation, the thermal power boiler is simulated and controlled based on the boiler control scheme, a boiler multivariate distribution model is established, and the following processing is performed: modeling is performed according to the thermal power boiler to obtain a boiler simulation model; the boiler simulation model is simulated and controlled according to the boiler control scheme to obtain a boiler operation simulation data set; the boiler operation simulation data set is rendered to the boiler simulation model to generate the boiler multivariate distribution model.

[0015] The proposed thermal power generation metering optimization method combined with boiler heat distribution in this application is to receive the boiler control command of the thermal power generation boiler according to the boiler control end; simulate and control the thermal power generation boiler to establish a multivariate distribution model of the boiler; evaluate the boiler control scheme according to the boiler power generation fitness metering channel; determine whether the boiler power generation fitness is less than the boiler power generation fitness threshold; if less than, optimize the boiler control scheme and generate a boiler control optimization strategy; send the boiler control optimization strategy to the boiler control end, and the boiler control end performs thermal power generation according to the boiler control optimization strategy. It solves the technical problems existing in the prior art that the boiler control method is single and the control strategy cannot be dynamically optimized according to the heat distribution, resulting in inaccurate metering and low power generation efficiency, and achieves the technical effect of improving the accuracy of thermal power generation metering and boiler operation efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solution of the embodiment of the present invention, the accompanying drawings of the embodiment of the present invention will be briefly introduced below. A flow chart is used in the present application to illustrate the operations performed by the system according to the embodiment of the present application. It should be understood that the preceding or following operations are not necessarily performed accurately in order. On the contrary, various steps can be processed in reverse order or simultaneously as needed. At the same time, other operations can also be added to these processes, or one or more operations can be removed from these processes.

[0017] Figure 1 A schematic flow chart of a thermal power generation metering optimization method combined with boiler heat distribution provided in an embodiment of the present application;

[0018] Figure 2A schematic diagram of a flow chart for obtaining boiler power generation adaptability in a thermal power generation metering optimization method combined with boiler heat distribution provided in an embodiment of the present application. DETAILED DESCRIPTION

[0019] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below.

[0020] In order to make the objectives, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings. The described embodiments should not be regarded as limiting the present application. All other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of this application.

[0021] In the following description, reference is made to "some embodiments", which describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or different subsets of all possible embodiments, and may be combined with each other without conflict, and the terms "first\second" involved are merely to distinguish similar objects and do not represent a specific ordering of objects. The terms "including" and "having" and any variations are intended to cover non-exclusive inclusions, for example, a process, method, product, or server that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or modules that are not clearly listed or inherent to these processes, methods, products, or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those generally understood by technicians in the technical field of this application. The terms used herein are for the purpose of describing the embodiments of the present application only.

[0022] The present application embodiment provides a thermal power generation metering optimization method combined with boiler heat distribution, such as Figure 1 As shown, the method includes:

[0023] Step S100: receiving a boiler control instruction of a thermal power boiler according to a boiler control terminal, wherein the boiler control instruction includes a boiler control scheme corresponding to a target thermal power generation demand.

[0024] Preferably, the boiler control instruction includes a boiler control scheme corresponding to the target thermal power generation demand, which is used to guide the optimization of boiler operation. Specifically, the target thermal power generation demand refers to the power output or heat conversion target that the boiler needs to achieve within a specific time period, such as a predetermined power output value or a real-time adjustment for the load demand of the power grid. The corresponding boiler control scheme is a set of operating parameters and control logic formulated to achieve the target thermal power generation demand, which may include but is not limited to fuel supply regulation, such as coal powder flow or gas input; air supply control, such as blower air volume and oxygen content regulation; burner start and stop management, specifying the working state and working sequence of certain burners; steam system control, such as drum pressure, main steam temperature and other regulation schemes; load distribution optimization, reasonably distributing the heat energy generated by the boiler to the generator set; to meet the goals of maximum power generation efficiency, minimum fuel consumption and controlled pollution emissions. The boiler control end receives the control instruction through an automated control system (such as a distributed control system DCS). The control instruction is usually transmitted from the host computer or the dispatch end to the boiler's actuator in the form of a data packet. The actuator adjusts the boiler operation according to the instruction, such as adjusting the fuel supply valve, fan speed or coal nozzle position.

[0025] Step S200: performing simulation control on the thermal power generation boiler based on the boiler control scheme to establish a boiler multivariate distribution model.

[0026] Preferably, the operation of the boiler is digitally modeled and simulated using simulation technology to accurately present the distribution characteristics of heat, fuel, air and other parameters inside the boiler, and to establish a multivariate distribution model that reflects the actual operating conditions of the boiler, which is used to optimize the control scheme and improve the performance of the boiler. Specifically, computer simulation technology is used to simulate the dynamic behavior of the boiler in actual operation based on the operating parameters defined by the boiler control scheme, mainly including the input of operating parameters. The boiler control scheme provides input parameters such as fuel flow, air supply, burner start and stop status, steam flow, etc.; simulation of the operating status, by establishing a mathematical model or physical model of the boiler, to calculate and simulate combustion, heat exchange, fluid dynamics, etc.; output results Feedback, simulation results include key data such as boiler internal temperature field, heat distribution, combustion efficiency, pollutant emissions, etc.; then build a boiler multivariate distribution model, that is, based on simulation analysis, describe the distribution law of multiple operating variables (such as temperature, pressure, fuel distribution, air distribution, etc.) in different spaces and times inside the boiler. Specifically, collect basic data of boiler operation (such as fuel characteristics, design parameters, operation records), determine the specific parameter input of the boiler control scheme, use the basic theories of fluid mechanics, thermodynamics, and heat transfer to establish a mathematical model describing boiler combustion, heat transfer, and fluid flow, refine the distribution inside the boiler through partition modeling (such as furnace, superheater, convection tube bundle, etc.), and then use simulation software (such as ANSYS Fluent, COMSOL Multiphysics) to run the boiler model, simulate the influence of different control parameters on the boiler operation state, such as adjusting the optimization effect of fuel or air flow on combustion uniformity, and generate the heat distribution inside the boiler. The boiler multivariate distribution model digitizes and accurately describes the complex physical process of the boiler through simulation control means, and establishes a visual description of the operation state, which can not only help optimize the control scheme, but also improve the operation efficiency, safety and environmental performance of the boiler.

[0027] Furthermore, step S200 also includes step S210, modeling the thermal power generation boiler to obtain a boiler simulation model; step S220, simulating and controlling the boiler simulation model according to the boiler control scheme to obtain a boiler operation simulation data set; step S230, rendering the boiler operation simulation data set to the boiler simulation model to generate the boiler multivariate distribution model.

[0028] Preferably, simulation technology is used to model, simulate and optimize the operating state of the thermal power generation boiler, and a boiler simulation model is established and simulated to control it to generate simulation data of the boiler operation. Specifically, mathematical modeling is performed on the key physical processes and operating states of the thermal power generation boiler, including collecting boiler design parameters (such as furnace size, heating surface layout), obtaining operating data (such as fuel characteristics, air flow, flue gas composition), using thermodynamics and fluid mechanics formulas to establish a mathematical model to describe the combustion, heat transfer, fluid flow and chemical reaction processes inside the boiler, and using professional simulation software (such as ANSYS Fluent, COMSOL Multiphysics) to run, to generate a simulation model that can reflect the operating characteristics and performance of the boiler, and can simulate the dynamic response of the boiler under different operating conditions; then the operating parameters of the simulation model are set according to the boiler control scheme, and the simulation model is used to simulate the response of the boiler to different control schemes in actual operation, including simulating the operating performance of the boiler under conditions such as load changes and fuel type switching, and analyzing the thermal efficiency, pollutant emissions and other performance of the boiler under fixed parameters, thereby generating a boiler operation simulation data set, such as the temperature distribution in each area, the flue gas composition (such as CO2, NO x content), combustion efficiency and heat utilization rate, etc.; then the boiler operation simulation data is visually rendered into the simulation model, so that the model not only describes the theoretical operation status of the boiler, but also dynamically presents the actual operation characteristics of the boiler. Specifically, the simulation data (such as temperature, pressure, flow rate) is mapped to the corresponding space of the simulation model. As the simulation control proceeds, the operation data in the model is updated in real time. After rendering, a more accurate and dynamic multivariate distribution model of the boiler is formed for further optimization and decision-making.

[0029] Step S300: Based on the boiler multivariate distribution model, the boiler control scheme is evaluated according to the boiler power generation fitness measurement channel to obtain the boiler power generation fitness.

[0030] Preferably, a comprehensive description of the boiler operating state in the boiler multivariate distribution model is used to quantitatively evaluate the current operating parameters of the boiler through a specific metering channel, thereby obtaining the adaptability of the boiler in meeting power generation demand and operating efficiency (i.e., boiler power generation fitness). The boiler power generation fitness metering channel is a technical means to achieve fitness evaluation, which may include calculating the deviation between the boiler operating state and the power generation demand through mathematical formulas or artificial intelligence models (such as machine learning algorithms). The core is to input boiler operating parameters and power generation targets, and output fitness evaluation results, i.e., boiler power generation fitness, which is used to quantify the comprehensive performance of the current boiler control scheme, such as whether the target thermal power generation demand can be achieved on time and in quantity, whether the fuel utilization rate meets expectations, whether the boiler is operating in an efficient state, and whether the fluctuations of various boiler operating parameters (such as temperature and pressure) are within the allowable range. Specifically, key parameters such as fuel distribution, air volume distribution, heat distribution, pressure distribution, etc. are extracted from the boiler multivariate distribution model, and target parameters such as the optimal range of specific power, pressure, temperature, etc. are defined according to power generation demand. The weights and tolerance ranges of different indicators are set, such as power output (40% weight), thermal efficiency (30% weight), emission level (20% weight) and operation stability (10% weight). The output of the boiler multivariate distribution model is compared with the set target, the deviation between the actual operating value and the target value is calculated, and the fitness measurement algorithm is used to calculate the evaluation result (convert the deviation into a fitness score). The boiler power generation fitness measurement channel matches the actual execution effect of the boiler control scheme with the power generation target through a quantitative evaluation method. The fitness score finally obtained can not only reflect the pros and cons of the current scheme, but also provide data support for subsequent optimization and boiler operation optimization.

[0031] Further, such as Figure 2 As shown, step S300 also includes step S310, wherein the boiler power generation fitness metering channel includes a boiler power generation evaluation branch, a power generation evaluation verification branch and a power generation fitness metering branch; step S320, based on the boiler multivariate distribution model, according to the boiler power generation evaluation branch, a boiler power generation evaluation result is obtained; step S330, the boiler power generation evaluation result is input into the power generation evaluation verification branch to obtain the power generation evaluation verification result; step S340, when the power generation evaluation verification result is passed, the boiler power generation evaluation result is input into the power generation fitness metering branch to output the boiler power generation fitness.

[0032] Preferably, the boiler power generation fitness metering channel includes a boiler power generation evaluation branch, a power generation evaluation verification branch and a power generation fitness metering branch, which respectively assume functions at different stages to ensure the comprehensiveness and accuracy of the evaluation process. Among them, the boiler power generation evaluation branch is responsible for the preliminary analysis and calculation of various performance indicators of the boiler in the power generation process, and the power generation evaluation verification branch verifies the accuracy and rationality of the results of the boiler power generation evaluation branch to ensure the reliability of the data and evaluation results. After the verification, the power generation fitness metering branch finally calculates the power generation fitness of the boiler according to the comprehensive indicators and outputs the results; specifically, according to the multivariate distribution model of the boiler, multiple performance indicators of the boiler operation (such as thermal efficiency, fuel utilization rate, emission level, etc.) are calculated, and the boiler power generation evaluation verification branch is output. The evaluation results of boiler power generation are input into the power generation evaluation verification branch for verification to ensure its data integrity, logical consistency and technical rationality, including ensuring its data integrity, logical consistency and technical rationality, verifying the relationship between the evaluation indicators. For example, if the fuel utilization rate is high but the thermal efficiency is low, there may be data anomalies. The evaluation results are verified to be reasonable by comparing with the boiler design parameters or historical operation data. When all the verifications pass, a passed verification result is generated, and then the boiler power generation evaluation results are input into the power generation fitness measurement branch, which specifically includes weighting each evaluation indicator according to a predetermined weight, summarizing the weighted scores of each indicator, and obtaining the boiler power generation fitness, thereby ensuring the accuracy and comprehensiveness of the evaluation and improving the boiler operation efficiency and power generation efficiency.

[0033] Further, step S320 also includes step S321, wherein the boiler power generation evaluation branch includes a boiler heat loss evaluation model, a boiler emission impact evaluation model and a boiler power generation quality evaluation model; step S322, reading the boiler heat distribution data, the boiler emission distribution data and the boiler power generation distribution data according to the boiler multivariate distribution model; step S323, inputting the boiler heat distribution data into the boiler heat loss evaluation model to obtain a boiler heat loss evaluation coefficient; step S324, inputting the boiler emission distribution data into the boiler emission impact evaluation model to obtain a boiler emission impact evaluation coefficient; step S325, inputting the boiler power generation distribution data into the boiler power generation quality evaluation model to obtain a boiler power generation quality evaluation coefficient; step S326, outputting the boiler heat loss evaluation coefficient, the boiler emission impact evaluation coefficient and the boiler power generation quality evaluation coefficient as the boiler power generation evaluation result.

[0034] Preferably, the boiler power generation evaluation branch includes a boiler heat loss evaluation model, a boiler emission impact evaluation model and a boiler power generation quality evaluation model. The boiler heat loss, emission impact and power generation quality are independently quantitatively analyzed through different evaluation models, and various indicators are integrated to form a boiler power generation evaluation result. The boiler heat loss evaluation model is used to evaluate the degree of heat loss of the boiler during operation. The boiler emission impact evaluation model is used to evaluate the impact of boiler operation on the environment (pollutant emissions). The boiler power generation quality evaluation model is used to evaluate the stability and efficiency of boiler power generation. Specifically, the boiler heat distribution data, boiler emission distribution data and boiler power generation distribution data are read from the boiler multivariate distribution model. The boiler heat distribution data describes the heat transfer and loss of various areas inside the boiler, such as the heat distribution of the furnace wall, flue and heating surface. The boiler emission distribution data describes the pollutants (such as NO x 、SO x , CO2, etc.), and the boiler power generation distribution data describes the distribution characteristics and stability of the boiler's power output during the power generation process, such as power fluctuations or transient behaviors in different power generation stages.

[0035] Preferably, the boiler heat distribution data is input into the boiler heat loss evaluation model to analyze the sources of heat loss in boiler operation, including flue gas heat loss (unused heat carried away by flue gas), furnace wall heat loss (heat dissipated through the outer wall of the boiler) and incomplete combustion loss (heat loss caused by incomplete combustion of fuel). The ratio of 1 minus the total heat loss to the total input heat is used as the boiler heat loss evaluation coefficient, which is used to reflect the thermal efficiency of the boiler. The range is usually between 0 and 1. The higher the value, the smaller the heat loss. The boiler emission distribution data is input into the boiler emission impact evaluation model to evaluate the impact of boiler operation on the environment, pay attention to whether the pollutant emissions meet environmental protection requirements, and use 1 minus the actual emissions. The ratio to the standard emission limit is used as the emission impact evaluation coefficient. The closer this value is to 1, the more environmentally friendly the boiler emissions are. The boiler power generation distribution data is input into the boiler power generation quality evaluation model to evaluate the stability of boiler power generation and the quality of output power. The difference between actual power generation and target power generation is calculated, and then the ratio to the target power generation is calculated. 1 minus this ratio is used as the boiler power generation quality evaluation coefficient to reflect the efficiency and stability of the power generation process. The boiler heat loss evaluation coefficient, boiler emission impact evaluation coefficient and boiler power generation quality evaluation coefficient are integrated into the boiler power generation evaluation result. For example, weighted averaging is performed to obtain the boiler power generation evaluation result, which can comprehensively and accurately evaluate the boiler operation status.

[0036] Furthermore, the power generation evaluation verification branch of step S330 includes a power generation evaluation verification operator, and the power generation evaluation verification operator includes step S331. If the boiler power generation evaluation result meets the power generation evaluation constraints, the power generation evaluation verification result is passed, wherein the power generation evaluation constraints include heat loss evaluation constraints, emission impact evaluation constraints and power generation quality evaluation constraints; step S332. If the boiler power generation evaluation result does not meet the power generation evaluation constraints, the power generation evaluation verification result is failed, and the boiler power generation fitness is output as a null value.

[0037] Preferably, the core of the power generation evaluation verification branch is the power generation evaluation verification operator, whose function is to check the boiler power generation evaluation results according to the preset constraints, including power generation evaluation constraints and verification logic, wherein the power generation evaluation constraints are a set of standards for judging whether the heat loss, emission impact and power generation quality of the boiler meet the expected requirements, that is, the power generation evaluation constraints are the minimum standards set for various aspects of the boiler power generation performance, and the heat loss evaluation constraints stipulate that the boiler heat loss cannot exceed a certain proportion, for example, the maximum allowable heat loss is 20%; NO x EIA constraints set the pollutant concentration or total amount of boiler emissions to meet standards, for example, emissions must be less than 50 mg / m 3 , the corresponding emission impact evaluation coefficient shall not be lower than 0.9; the power generation quality evaluation constraint requires that the boiler's power generation power is stable and close to the target value, for example, the actual power fluctuation shall not exceed ±5%, and the evaluation coefficient shall not be lower than 0.85; the verification logic is based on whether the power generation evaluation constraint is met and outputs the verification result. Specifically, the verification operator checks each coefficient (heat loss, emission impact, power generation quality) in the boiler power generation evaluation result one by one to see whether it meets the corresponding constraint conditions. If all evaluation coefficients meet the constraint conditions, the power generation evaluation verification result is set to pass; if any evaluation coefficient does not meet the corresponding constraint conditions, the power generation evaluation verification result is set to fail, and the output of the boiler power generation fitness is forced to be set to a null value (indicating that the current control scheme cannot pass the verification and subsequent calculations are terminated), thereby achieving reliability control and effectively improving the accuracy and rationality of the boiler power generation evaluation.

[0038] Further, step S340 also includes that the power generation fitness measurement branch includes a power generation fitness measurement function, and the power generation fitness measurement function is:

[0039] PGF=GQW*K(PGQ)-HLW*K(HLS)-EIW*K(EIA);

[0040] Among them, PGF represents the boiler power generation adaptability, GQW represents the predetermined weight of power generation quality, K(PGQ) represents the normalized boiler power generation quality evaluation coefficient, HLW represents the predetermined weight of heat loss, K(HLS) represents the normalized boiler heat loss evaluation coefficient, EIW represents the predetermined weight of emission impact, and K(EIA) represents the normalized boiler emission impact evaluation coefficient.

[0041] Step S400, determining whether the boiler power generation fitness is less than a boiler power generation fitness threshold.

[0042] Preferably, the calculated result of the boiler power generation fitness (boiler power generation fitness) is compared with the preset minimum acceptable value (boiler power generation fitness threshold) to determine whether the current boiler operating status and control scheme meet the set performance requirements. If the fitness is lower than the threshold, it indicates that the boiler operation or control scheme needs to be optimized; if the fitness is higher than or equal to the threshold, it means that the boiler is operating normally and meets the demand, thereby helping the system to judge in real time whether the boiler operating status meets the target demand, and providing a scientific basis for subsequent control adjustment and optimization. Among them, the boiler power generation fitness threshold is a preset value used to distinguish the boiler operating status, which is usually set according to the grid load demand and relevant emission standards. For example, the boiler operating efficiency needs to reach a certain level, the emissions need to be lower than a certain limit, and the boiler needs to output a specific power to meet the current load.

[0043] Step S500: If the boiler power generation fitness is less than the boiler power generation fitness threshold, based on the boiler power generation fitness metering channel, the boiler control scheme is optimized and adjusted according to the target thermal power generation demand and the boiler power generation fitness threshold to generate a boiler control optimization strategy.

[0044] Preferably, when the current operating state of the boiler cannot meet the power generation demand (fitness is lower than the set threshold), the inadequacies of the current control scheme are analyzed through the boiler power generation fitness metering channel, and the control parameters are adjusted in combination with the target power generation demand and fitness requirements, and the boiler operation is optimized to generate a new control strategy, wherein the optimal adjustment refers to analyzing the inadequacies of the current boiler control scheme, using the optimization algorithm and the boiler simulation model to adjust and optimize the control parameters to improve the boiler operating state and improve the fitness, even if the boiler operation reaches or exceeds the power generation fitness threshold, and then obtaining the boiler control optimal strategy, including the optimized operating parameters, adjustment logic and control steps, which are used to guide the boiler operation. Specifically, the target thermal power generation demand and the boiler power generation fitness threshold are input into the boiler power generation fitness metering channel, and the boiler control scheme is optimally adjusted, that is, through the boiler power generation fitness metering channel, the current fitness is analyzed. The reasons for insufficient heat loss, such as large heat loss (poor boiler insulation or low combustion efficiency), excessive emissions (unreasonable fuel mixing ratio or insufficient air volume) or unstable power generation quality (slow boiler load regulation response or large power output fluctuations), are analyzed and adjusted based on the analysis results using the boiler multivariate distribution model and optimization algorithm, including heat optimization (improving burner efficiency, such as adjusting the coal nozzle angle and fuel flow rate, improving the heat exchange efficiency of the boiler heating surface, and reducing heat dissipation losses), emission optimization (adjusting the air volume or oxygen content, optimizing the combustion process, introducing low-nitrogen combustion technology or optimizing the control of desulfurization and denitrification devices) and power generation quality optimization (adjusting the load distribution strategy, such as optimizing the main steam temperature and pressure, improving the response speed of the boiler control system, and reducing load fluctuations), and then generating a control optimization strategy, which may include fuel and air ratio adjustment schemes, resetting temperature and pressure control parameters, optimizing load regulation logic and operation steps, etc. By re-optimizing the boiler operating parameters, a control strategy that can be directly applied to the boiler operation is generated, thereby improving the boiler's ability to adapt to target needs and improving the efficiency and reliability of boiler operation.

[0045] Further, step S500 also includes step S510, adjusting the boiler control scheme according to the target thermal power generation demand and establishing a boiler control adjustment space; step S520, extracting a first boiler control adjustment scheme according to the boiler control adjustment space; step S530, evaluating the first boiler control adjustment scheme according to the boiler power generation fitness metering channel to obtain the power generation fitness of the first adjustment scheme; step S540, judging whether the power generation fitness of the first adjustment scheme is greater than or equal to the boiler power generation fitness threshold; step S550, if the power generation fitness of the first adjustment scheme is greater than or equal to the boiler power generation fitness threshold, adding the first boiler control adjustment scheme to the boiler control optimization strategy; step S560, if the power generation fitness of the first adjustment scheme is less than the boiler power generation fitness threshold, continuing to iteratively optimize the boiler control adjustment space according to the boiler power generation fitness metering channel and the boiler power generation fitness threshold until the boiler control optimization strategy is obtained.

[0046] Preferably, by adjusting the boiler control scheme, a possible adjustment space is established and real-time evaluation and iterative optimization search are performed, and a control strategy that meets the target thermal power generation demand and the boiler power generation adaptability requirements is gradually generated to ensure that the boiler control optimization strategy finally generated has high efficiency, reliability and adaptability. Specifically, based on the target thermal power generation demand (such as power output, fuel consumption, emission standards, etc.), the control parameters of the boiler are adjusted to form multiple possible parameter combinations, and the boiler control adjustment space is constructed with these parameter combinations, which defines the range of solutions that can be searched during the optimization process. Then, a specific parameter combination is randomly extracted from the boiler control adjustment space as the first boiler control adjustment scheme, and the first adjustment scheme is analyzed and evaluated using the boiler power generation adaptability metering channel, including heat loss analysis, emission analysis and Power generation quality analysis, obtain the power generation fitness of the first adjustment plan according to the evaluation results, and then judge whether the power generation fitness of the first adjustment plan is greater than or equal to the boiler power generation fitness threshold. If the power generation fitness of the first adjustment plan is greater than or equal to the boiler power generation fitness threshold, it means that the plan meets the power generation demand and is feasible, and the plan is added to the boiler control optimization strategy; if the power generation fitness of the first adjustment plan is less than the boiler power generation fitness threshold, it means that the plan cannot meet the demand, and continue to search and optimize the adjustment space, that is, extract new plans from the adjustment space, continuously optimize the control parameters, and then repeat the fitness evaluation and threshold comparison for each new adjustment plan until a plan that meets the boiler power generation fitness threshold is found, forming the final boiler control optimization strategy, which can effectively improve the boiler operation performance and achieve energy saving, efficiency improvement and environmental protection goals.

[0047] Furthermore, step S510 also includes step S511, taking the target thermal power generation demand as a retrieval constraint, searching for a control scheme for the thermal power generation boiler, and obtaining a retrieved boiler control scheme set; step S512, parsing the control parameter range according to the retrieved boiler control scheme set, and generating a boiler control trigger domain; step S513, taking the target thermal power generation demand as the boiler control target, adjusting the boiler control scheme according to the boiler control trigger domain, and generating the boiler control adjustment space.

[0048] Preferably, by taking the target thermal power generation demand as the retrieval condition, a set of schemes that may meet the demand is screened out from the existing control schemes, and the range limit of the control parameters is analyzed to generate a trigger domain for boiler operation, and the boiler control scheme is further optimized and adjusted in combination with the target demand, and finally a boiler control adjustment space is generated, wherein the retrieval constraint is defined based on the target thermal power generation demand and is used to screen boiler control schemes that may meet the demand, which may include power output range, fuel-air ratio and environmental emission compliance. Specifically, the target thermal power generation demand is used as the retrieval constraint, and the control scheme of the thermal power boiler is retrieved to obtain a set of candidate boiler control schemes that meet the constraint conditions to form a retrieved boiler control scheme set; then the operating parameters involved in the retrieved boiler control scheme set are analyzed, and the range limit of the key parameters is extracted to perform the retrieval. By unifying the control parameters of different schemes, the boiler control trigger domain is obtained by merging and intersection operations on the analyzed control parameters, that is, the parameter space containing all possible control parameter combinations that can meet the target thermal power generation demand, and the feasible area of ​​boiler operation is defined; then, the target thermal power generation demand is used as the boiler control target, and the boiler control scheme is adjusted according to the boiler control trigger domain, that is, the target thermal power generation demand is used as the optimization target, and the boiler control parameters are adjusted and optimized within the boiler control trigger domain, such as adjusting the fuel-air ratio, optimizing the burner configuration, improving the heat distribution, etc., and finally a boiler control adjustment space is generated, which contains all adjusted and optimized control parameter combinations. Compared with the trigger domain, the adjustment space is more in line with the target demand and reduces invalid combinations, which can efficiently meet the target demand and significantly improve the operating performance and adaptability of the boiler.

[0049] Step S600, sending the boiler control optimization strategy to the boiler control end, and the boiler control end controls the thermal power generation boiler to perform thermal power generation according to the boiler control optimization strategy.

[0050] Preferably, the optimized boiler control optimization strategy is sent to the boiler control end, and the control end adjusts the boiler operating parameters according to the strategy to ensure that the operating performance of the boiler meets the target thermal power generation demand and realizes an efficient, safe and environmentally friendly power generation process. Specifically, the boiler control end is a hardware and software control system responsible for executing the control strategy, which is used to receive the optimization strategy and perform corresponding control operations, usually including an automation control system, such as a distributed control system (DCS) or a process control system (PCS), actuators such as fuel supply valves, fans, burner adjustment devices, etc. The optimized boiler control optimization strategy is transmitted to the boiler control end in real time via industrial Ethernet (Ethernet) or Modbus protocol. After receiving the optimization strategy, the boiler control end parses it and extracts specific control instructions, such as fuel flow adjustment instructions, fan speed instructions and burner start and stop instructions, and controls the thermal power boiler to perform thermal power generation according to these instructions, ensuring that the operating performance of the boiler is optimized and meets the goal of thermal power generation demand.

[0051] The above specific implementation manner does not constitute a limitation to the protection scope of the present application. It should be understood by those skilled in the art that various modifications, combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present application should be included in the protection scope of the present application. In some cases, the actions or steps recorded in the present application can be performed in an order different from that in the embodiment and can still achieve the desired results. In addition, the process depicted in the accompanying drawings does not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

Claims

1. A thermal power generation metering optimization method combined with boiler heat distribution, characterized in that: The method comprises: receiving, according to the boiler control end, a boiler control instruction of a thermal power boiler, wherein the boiler control instruction includes a boiler control scheme corresponding to a target thermal power generation demand; Based on the boiler control scheme, the thermal power generation boiler is simulated and controlled to establish a multivariate distribution model of the boiler; Based on the multivariate distribution model of the boiler, the boiler control scheme is evaluated according to the boiler power generation fitness measurement channel to obtain the boiler power generation fitness; Determining whether the boiler power generation fitness is less than a boiler power generation fitness threshold; If the boiler power generation fitness is less than the boiler power generation fitness threshold, based on the boiler power generation fitness metering channel, the boiler control scheme is optimized and adjusted according to the target thermal power generation demand and the boiler power generation fitness threshold to generate a boiler control optimization strategy; The boiler control optimization strategy is sent to the boiler control end, and the boiler control end controls the thermal power generation boiler to perform thermal power generation according to the boiler control optimization strategy.

2. The thermal power generation metering optimization method combined with boiler heat distribution according to claim 1 is characterized in that: Based on the multivariate distribution model of the boiler, the boiler control scheme is evaluated according to the boiler power generation fitness measurement channel to obtain the boiler power generation fitness, including: The boiler power generation fitness measurement channel includes a boiler power generation evaluation branch, a power generation evaluation verification branch and a power generation fitness measurement branch; Based on the boiler multivariate distribution model, and according to the boiler power generation evaluation branch, obtaining a boiler power generation evaluation result; Inputting the boiler power generation evaluation result into the power generation evaluation verification branch to obtain the power generation evaluation verification result; When the power generation evaluation verification result is passed, the boiler power generation evaluation result is input into the power generation fitness measurement branch, and the boiler power generation fitness is output.

3. The thermal power generation metering optimization method combined with boiler heat distribution according to claim 2 is characterized in that: Based on the boiler multivariate distribution model and according to the boiler power generation evaluation branch, a boiler power generation evaluation result is obtained, including: The boiler power generation evaluation branch includes a boiler heat loss evaluation model, a boiler emission impact evaluation model and a boiler power generation quality evaluation model; According to the boiler multivariate distribution model, reading boiler heat distribution data, boiler emission distribution data and boiler power generation distribution data; Inputting the boiler heat distribution data into the boiler heat loss evaluation model to obtain a boiler heat loss evaluation coefficient; Inputting the boiler emission distribution data into the boiler emission impact assessment model to obtain a boiler emission impact assessment coefficient; Inputting the boiler power generation distribution data into the boiler power generation quality evaluation model to obtain a boiler power generation quality evaluation coefficient; The boiler heat loss evaluation coefficient, the boiler emission impact evaluation coefficient, and the boiler power generation quality evaluation coefficient are output as the boiler power generation evaluation result.

4. The thermal power generation metering optimization method combined with boiler heat distribution according to claim 2, characterized in that: The power generation evaluation verification branch includes a power generation evaluation verification operator, and the power generation evaluation verification operator includes: If the boiler power generation evaluation result satisfies the power generation evaluation constraint, the power generation evaluation verification result is passed, wherein the power generation evaluation constraint includes a heat loss evaluation constraint, an emission impact evaluation constraint, and a power generation quality evaluation constraint; If the boiler power generation evaluation result does not meet the power generation evaluation constraint, the power generation evaluation verification result is failed, and the boiler power generation fitness is output as a null value.

5. The thermal power generation metering optimization method combined with boiler heat distribution according to claim 2, characterized in that: The power generation fitness measurement branch includes a power generation fitness measurement function, and the power generation fitness measurement function is: PGF=GQW*K(PGQ)-HLW*K(HLS)-EIW*K(EIA); Among them, PGF represents the boiler power generation adaptability, GQW represents the predetermined weight of power generation quality, K(PGQ) represents the normalized boiler power generation quality evaluation coefficient, HLW represents the predetermined weight of heat loss, K(HLS) represents the normalized boiler heat loss evaluation coefficient, EIW represents the predetermined weight of emission impact, and K(EIA) represents the normalized boiler emission impact evaluation coefficient.

6. The thermal power generation metering optimization method combined with boiler heat distribution according to claim 1, characterized in that: If the boiler power generation fitness is less than the boiler power generation fitness threshold, based on the boiler power generation fitness metering channel, the boiler control scheme is optimized and adjusted according to the target thermal power generation demand and the boiler power generation fitness threshold, and a boiler control optimization strategy is generated, including: According to the target thermal power generation demand, adjusting the boiler control scheme and establishing a boiler control adjustment space; extracting a first boiler control adjustment plan according to the boiler control adjustment space; Evaluate the first boiler control adjustment scheme according to the boiler power generation adaptability metering channel to obtain the power generation adaptability of the first adjustment scheme; Determining whether the power generation adaptability of the first adjustment scheme is greater than or equal to the power generation adaptability threshold of the boiler; If the power generation fitness of the first adjustment scheme is greater than or equal to the power generation fitness threshold of the boiler, adding the first boiler control adjustment scheme to the boiler control optimization strategy; If the power generation fitness of the first adjustment scheme is less than the boiler power generation fitness threshold, the boiler control adjustment space is continuously iterated and optimized according to the boiler power generation fitness metering channel and the boiler power generation fitness threshold until the boiler control optimization strategy is obtained.

7. The thermal power generation metering optimization method combined with boiler heat distribution according to claim 6, characterized in that: According to the target thermal power generation demand, the boiler control scheme is adjusted to establish a boiler control adjustment space, including: Taking the target thermal power generation demand as a search constraint, searching for a control scheme for the thermal power boiler to obtain a searched boiler control scheme set; Perform control parameter range analysis according to the retrieved boiler control scheme set to generate a boiler control trigger domain; The target thermal power generation demand is used as the boiler control target, and the boiler control scheme is adjusted according to the boiler control trigger domain to generate the boiler control adjustment space.

8. The thermal power generation metering optimization method combined with boiler heat distribution according to claim 1, characterized in that: Based on the boiler control scheme, the thermal power generation boiler is simulated and controlled to establish a multivariate distribution model of the boiler, including: Modeling the thermal power generation boiler to obtain a boiler simulation model; Performing simulation control on the boiler simulation model according to the boiler control scheme to obtain a boiler operation simulation data set; The boiler operation simulation data set is rendered to the boiler simulation model to generate the boiler multivariate distribution model.

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