Steam supply operation optimization method and system for auxiliary steam system

Abstract

The present invention relates to the technical field of steam supply operation. Disclosed are a steam supply operation optimization method and system for an auxiliary steam system. The method comprises: calculating a comprehensive energy efficiency indicator of an auxiliary steam system, carrying out energy efficiency evaluation, and establishing an auxiliary steam system steam supply scheduling model; carrying out dynamic scheduling optimization and adaptive adjustment of auxiliary steam supply; carrying out energy cascade utilization of steam supply operation of the auxiliary steam system, and monitoring an operating condition of each stage of the auxiliary steam system in real time; and establishing an optimization feedback mechanism, and adjusting a steam supply strategy of the auxiliary steam system and a control parameter. In the present invention, an energy efficiency evaluation result is converted into a specific scheduling strategy, thereby achieving more scientific and reasonable steam supply scheduling of the auxiliary steam system, enabling flexible adjustment according to actual requirements, satisfying steam supply requirements under different working conditions, and achieving accurate control over auxiliary steam supply. Cascade utilization is carried out on steam supply operation of the auxiliary steam system, thereby improving energy utilization efficiency to the maximum extent and improving the energy efficiency level of the auxiliary steam system.

Description

Auxiliary steam system steam supply operation optimization method and system TECHNICAL FIELD

[0001] The present application relates to steam supply operation technical field, especially an auxiliary steam system steam supply operation optimization method and system. BACKGROUND

[0002] At present, the low-pressure auxiliary steam header of the factory supplies steam to the intelligent heating system of the factory area, the shaft seal steam supply system of #1 and #2 small machines, the city bathing heating steam system, the heat network deaerator, the coal mill fire-fighting steam system, and the steam supply of the warm air blower of #1 and #2 furnaces, and the steam users are relatively many. The steam source of the low auxiliary header is supplied by the high auxiliary header, and the steam source of the high auxiliary header is the second-stage extraction steam and the primary steam of the plant-use first-stage desuperheater, and the steam quality is relatively high. The high-quality steam is not economical in the mode of being supplied through the low auxiliary header after being desuperheated and decompressed, does not conform to the principle of steam cascade utilization, and affects the economy of the unit.

[0003] In order to guarantee the implementation of the policy of banning bathing boilers, the city bathing heating steam system supplies steam to seven units of city bathing and Longyang water industry, and the steam consumption is large and increases year by year. Because the city bathing heating steam system adopts the automatic steam supply mode of card swiping, the start and stop of the heating steam system can easily cause the sudden drop and sudden rise of the pressure of the auxiliary steam header. The sudden drop of the pressure can cause the insufficient steam supply pressure of the shaft seal and the decrease of the vacuum of the unit. The sudden rise of the pressure can cause the action of the safety door of the auxiliary steam header, the overpressure of the system, and even the damage of the equipment, which affects the safety of the unit. At the same time, the pipe diameter of the city bathing steam supply main pipe is The pipe diameters of the existing six branch pipes are which cannot meet the steam supply requirement and needs to be expanded. In view of the present situation of the low-pressure auxiliary steam header steam supply system, in order to guarantee the safety and economy of the unit, based on the second law of thermodynamics, the steam supply mode of the intelligent heating system of the factory area and the city bathing heating steam system which are external users of the low-pressure auxiliary steam header is optimized.

[0004] SUMMARY

[0005] In view of the problems existing in the prior art, the present application is proposed. Therefore, the problem to be solved by the present application is how to provide an auxiliary steam system steam supply operation optimization method and system.

[0006] To solve the above technical problems, the present application provides the following technical scheme:

[0007] In a first aspect, the present application provides a method for optimizing operation of a supplementary steam system, which comprises: calculating a comprehensive energy efficiency index of the supplementary steam system, evaluating the energy efficiency of an existing supplementary steam system, establishing a steam supply scheduling model of the supplementary steam system based on the evaluation result, using a supplementary steam supply scheduling optimization algorithm to combine user demand and supplementary steam generation characteristics to perform dynamic scheduling optimization and adaptive adjustment of the supplementary steam supply, performing energy cascade utilization of the supplementary steam system operation, and real-time monitoring of the operation of each link of the supplementary steam system; and based on the real-time monitoring data, establishing an optimization feedback mechanism to adjust the steam supply strategy and control parameters of the supplementary steam system.

[0008] As a preferred scheme of the method for optimizing operation of the supplementary steam system, the calculation of the comprehensive energy efficiency index of the supplementary steam system comprises the following steps: recording and analyzing the types and consumption of fuels used in the supplementary steam generation process, calculating the actual fuel combustion efficiency, evaluating the actual efficiency of the boiler, assuming that there are n types of fuels, denoted as (R1, R2,..., Rn), and the corresponding consumptions are (C1, C2,..., Cn), and the total consumption of the actual fuel is represented as: n n

[0009] The actual fuel combustion efficiency is calculated, the high calorific value of the actual fuel is H f , the thermal efficiency of the boiler is η b,l , and the related expression is as follows: s1=η c ·η b,l

[0010] In the formula, η c is the actual fuel combustion efficiency; Q s is the actual steam generation amount; h v is the specific enthalpy of the steam, and E1 is the actual efficiency of the boiler; the heat loss in the delivery process is calculated according to the pipeline parameters in the delivery process, the pressure drop value is calculated by considering the pressure drop of the supplementary steam in the delivery process, and the delivery efficiency of the system is evaluated.

[0011] In the formula, E2 is the delivery efficiency of the system, k is the heat transfer coefficient, L is the pipeline length, T in and T out are the inlet and outlet temperatures of the supplementary steam, respectively, D is the inner diameter of the pipeline, ΔP is the pressure drop, and ΔP max is the maximum pressure drop allowed by the system; the load condition of the supplementary steam utilization end is analyzed, and the utilization efficiency of the supplementary steam is evaluated.

[0012] ​​In the formula, E3 is the utilization efficiency of auxiliary steam, N represents the sample quantity, and α and γ are normalization parameters, β is an exponential parameter, Q g represents the auxiliary steam supply amount, Q l represents the actual utilization amount of auxiliary steam, Q h represents the auxiliary steam amount recovered through the waste heat recovery device, Q sc represents the energy output by the device, Q sr represents the energy input by the device, that is, the auxiliary steam amount; the comprehensive energy efficiency index of the auxiliary steam system is calculated in combination with the energy efficiency evaluation results of each link, and the calculation formula of the comprehensive energy efficiency index is as follows:

[0013] In the formula, E is the comprehensive energy efficiency index, E i represents the energy efficiency evaluation result of each link, ω i represents the weight of each evaluation result, and m represents the number of weights.

[0014] As a preferred scheme of the auxiliary steam system steam supply operation optimization method, wherein: the energy efficiency evaluation includes evaluating the system according to the comprehensive energy efficiency index of the auxiliary steam system and analyzing the system energy efficiency evaluation result; the energy efficiency data of the auxiliary steam system are collected, the collected data are summarized, the energy efficiency expected target is set according to the actual situation and operation requirement of the auxiliary steam system, and the calculation formula of the energy efficiency expected target is as follows,

[0015] In the formula, E t is the energy efficiency expected target, E j is the comprehensive energy efficiency index calculated in the jth evaluation, w 1j is a weight factor, higher weight is given to more recent data, and M1 is the total number of evaluations; the actual comprehensive energy efficiency index is compared and analyzed with the set expected target, the deviation between the actual energy efficiency and the target is analyzed; the key aspects that need to be improved are determined according to the comparison and analysis result, the improvement measures and schemes are developed according to the determined improvement key points; the improvement target and index are set according to the improvement measures, the effect and standard that need to be achieved are clarified, and the improvement measures are implemented according to the developed improvement schemes and targets.

[0016] As a preferred scheme of the auxiliary steam system steam supply operation optimization method, wherein: the establishment of the auxiliary steam system steam supply scheduling model includes the following steps: collecting the energy efficiency evaluation result of the auxiliary steam system, determining the target of the auxiliary steam system steam supply scheduling model, and the related expression is as follows:

[0017] In the formula, F(E) is the energy efficiency value, N is the number of data points, λ is a decay constant, f(t, x i ) is the filtered information returned according to the values of t and x i . iis the i th comprehensive energy efficiency index value of the input data point, M2 is an index variable quantity, j is an index variable; determining the key factors K=(k1, k2,..., k n ) affecting the steam supply scheduling of the auxiliary steam system, and the influence degree and correlation of the key factors on the steam supply scheduling; based on the collected energy efficiency evaluation data and the determined influence factors, establishing a steam supply scheduling model of the auxiliary steam system, and the relevant expression is as follows:

[0018] In the formula, Q supply represents the steam supply amount of the auxiliary steam system, and alpha1 and beta1 are weight coefficients for balancing the contributions of the energy efficiency index and the influence factors in the steam supply scheduling, w i is the weight of each comprehensive energy efficiency index value E i , and v j is the weight of each influence factor k j ; using historical data to calibrate and verify the established steam supply scheduling model, so as to ensure that the model can accurately reflect the actual system operation; performing sensitivity analysis and verification on the model, and applying the established steam supply scheduling model to actual operation to monitor and evaluate the steam supply scheduling effect and energy efficiency performance of the system.

[0019] As a preferred scheme of the auxiliary steam system steam operation optimization method, the adaptive adjustment comprises the following steps: acquiring real-time data of user demand and auxiliary steam generation through sensors and monitoring systems in real time, comparing the real-time data with predicted data, and analyzing deviation reasons; dynamically adjusting the auxiliary steam supply scheduling scheme according to the real-time data and deviation analysis, including changing the supply amount, adjusting the supply time, and switching the supply source; analyzing the change of user load in real time, predicting future demand changes according to the load condition, monitoring the operation state of the auxiliary steam system, including device efficiency and energy consumption; adjusting the supply mode of the auxiliary steam in real time according to the load condition and the system operation state, including optimizing device combination, adjusting operation parameters, and starting standby devices; feeding back the results of real-time adjustment to the scheduling optimization model for learning and optimization, and adjusting the parameters and structure of the model according to the feedback results.

[0020] As a preferred scheme of the auxiliary steam system steam supply operation optimization method, the real-time adjustment of the auxiliary steam supply mode includes: if the load condition is higher than the predicted demand, the number of main equipment in operation or the output power thereof is reduced to reduce energy consumption and equipment wear, standby equipment is started to maintain stable operation of the system, and the standby equipment is prepared to quickly respond to the increase of the load when needed, the equipment combination is optimized, and the equipment with higher operation efficiency is preferentially put into operation; if the load condition is equal to the predicted demand, the operation state of the current main equipment is maintained, and the operation parameter is fine-tuned as needed to optimize energy efficiency, the state of the standby equipment is monitored to ensure that the standby equipment is in a good standby state so as to be quickly switched when needed; if the load condition is lower than the predicted demand, the number of main equipment in operation or the output power thereof is increased to meet the increased demand for auxiliary steam, and the operation parameter is adjusted to an optimal working point to ensure that the equipment operates in an efficient interval; if the main equipment is full or has reached a performance limit, the standby equipment is prepared to share the load; if the system operates stably, the current supply mode is maintained, and key indicators are continuously monitored to ensure stable operation of the system, and preventive maintenance is regularly performed; if the system fails or abnormally operates, the standby equipment or standby system is immediately switched to ensure uninterrupted supply of auxiliary steam, the failed equipment is checked and repaired to restore the normal operation state as soon as possible, and the operation strategy is adjusted according to the fault type and reason to avoid the fault from occurring again.

[0021] As a preferred scheme of the auxiliary steam system steam supply operation optimization method, the establishment of the optimization feedback mechanism includes the following steps: determining real-time monitoring data to be collected, cleaning and preprocessing the collected original data; performing preliminary analysis on the data to understand the characteristics of the operation state of the auxiliary steam system, determining the target and index of the optimization feedback mechanism according to the data analysis result, adjusting the steam supply strategy of the auxiliary steam system according to the suggestion of the optimization feedback mechanism; considering the demand change under different working conditions, formulating a steam supply plan, analyzing whether the setting of the current control parameter is reasonable and whether the optimization target is met; adjusting the control parameter according to the suggestion of the feedback mechanism, verifying the effect of the adjusted parameter; testing the adjusted auxiliary steam system in an actual operation environment, observing the operation effect, collecting test data, comparing and analyzing the data before and after the adjustment, verifying the optimization effect, and further adjusting the optimization strategy and control parameter according to the test result; continuously monitoring the operation state and performance of the auxiliary steam system, and continuously optimizing the feedback mechanism and adjusting the strategy according to new real-time monitoring data and operation experience.

[0022] In a second aspect, the present application provides a steam supply operation optimization system of an auxiliary steam system, comprising: an evaluation module for calculating an integrated energy efficiency index of the auxiliary steam system, performing energy efficiency evaluation on an existing auxiliary steam system, and establishing a steam supply scheduling model of the auxiliary steam system based on the energy efficiency evaluation result; a scheduling module for using an auxiliary steam supply scheduling optimization algorithm to perform dynamic scheduling optimization and adaptive adjustment of auxiliary steam supply in combination with user demand and auxiliary steam generation characteristics; a monitoring module for performing energy cascade utilization of steam supply operation of the auxiliary steam system and monitoring the operation of each link of the auxiliary steam system in real time; and an optimization module for establishing an optimization feedback mechanism based on real-time monitoring data and adjusting steam supply strategies and control parameters of the auxiliary steam system.

[0023] In a third aspect, the present application provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and wherein the processor implements the steps of the steam supply operation optimization method of the auxiliary steam system when executing the computer program.

[0024] In a fourth aspect, the present application provides a computer readable storage medium having a computer program stored thereon, wherein the computer program implements the steps of the steam supply operation optimization method of the auxiliary steam system when executed by a processor.

[0025] The present application has the beneficial effect of providing clear targets and basis for energy efficiency optimization. The energy efficiency evaluation result is converted into a specific scheduling strategy, so that the steam supply scheduling of the auxiliary steam system is more scientific and reasonable, flexible adjustment is made according to actual demand, steam supply demand under different working conditions is met, and precise control of auxiliary steam supply is realized. Cascade utilization of steam supply operation of the auxiliary steam system can maximize the energy utilization efficiency and improve the energy efficiency level of the auxiliary steam system. The stable operation of the auxiliary steam system is ensured, and the energy efficiency level of the system is continuously improved. BRIEF DESCRIPTION OF DRAWINGS

[0026] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required to be used in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0027] Fig. 1 is a flowchart of the steam supply operation optimization method of the auxiliary steam system.

[0028] Fig. 2 is a structure diagram of the intelligent heat supply system of the reformed plant. DETAILED DESCRIPTION

[0029] To make the above-mentioned objects, features, and advantages of the present invention more easily understood, the following detailed description of the specific embodiments of the present invention is given in conjunction with the accompanying drawings. It is obvious that the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in this field without creative work should fall within the scope of protection of the present invention.

[0030] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0031] Secondly, the term "one embodiment" or "embodiment" herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in various places throughout this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive of other embodiments.

[0032] Example 1

[0033] 1 , which is a first embodiment of the present invention, provides a method for optimizing steam supply operation of an auxiliary steam system, including:

[0034] S1: Calculate the comprehensive energy efficiency index of the auxiliary steam system, conduct energy efficiency evaluation on the existing auxiliary steam system, and establish a steam supply scheduling model for the auxiliary steam system based on the energy efficiency evaluation results;

[0035] Specifically, a comprehensive energy efficiency assessment of the existing auxiliary steam system will be conducted, including analysis of the energy efficiency of auxiliary steam generation, transportation, and utilization. Based on the assessment results, a detailed model of the auxiliary steam system will be developed, including thermodynamic characteristics, transportation pipeline network, user needs, etc., to facilitate subsequent optimization.

[0036] Record and analyze the types and consumption of fuel used in the auxiliary steam generation process, calculate the actual fuel combustion efficiency, and evaluate the actual efficiency of the boiler.

[0037] Assume that there are n kinds of fuel, denoted as (R1, R2, ..., R n ), the corresponding consumption is (C1, C2, ..., C n ), the actual amount of fuel consumed is expressed as:

[0038] Calculate the combustion efficiency of the actual fuel. The actual fuel's high calorific value is H f , the thermal efficiency of the boiler is η b,l , the relevant expressions are as follows: E1 = η c · η b,l

[0039] where η c is the actual fuel combustion efficiency; Q s is the actual steam production; hx is the specific enthalpy of steam, and E1 is the actual efficiency of the boiler;

[0040] According to the pipeline parameters in the auxiliary steam delivery process, the heat loss in the delivery process is calculated, the pressure drop value is calculated considering the pressure drop of auxiliary steam in the delivery process, and the delivery efficiency of the system is evaluated;

[0041] where E2 is the delivery efficiency of the system, k is the heat transfer coefficient, L is the pipeline length, T in and T out are the inlet and outlet temperatures of the auxiliary steam, respectively, D is the inner diameter of the pipeline, ΔP is the pressure drop, and ΔP max is the maximum pressure drop allowed by the system;

[0042] The load situation of the auxiliary steam utilization end is analyzed, and the utilization efficiency of the auxiliary steam is evaluated;

[0043] where E3 is the utilization efficiency of the auxiliary steam, N represents the number of samples, indicating the number of samples participating in the calculation. α is a normalization parameter, used to adjust the scale of the function. β is an exponential parameter, used to adjust the slope of the function. γ is a normalization parameter, indicating the central position of the function. Q g represents the auxiliary steam supply, Q l represents the actual utilization of auxiliary steam, Q h represents the amount of auxiliary steam recovered through the waste heat recovery equipment, Q sc represents the energy output of the equipment, and Q sr represents the energy input of the equipment, i.e., the amount of auxiliary steam. It is directly observed by using the flow meter of the utilization equipment.

[0044] Combined with the energy efficiency evaluation results of each link, the comprehensive energy efficiency index of the auxiliary steam system is calculated, and the calculation formula of the comprehensive energy efficiency index is as follows:

[0045] where E is the comprehensive energy efficiency index, E i represents the energy efficiency evaluation results of each link, ω i represents the weight of each evaluation result, and m represents the number of weights.

[0046] Collect the energy efficiency data of each link of the auxiliary steam system, including the data of auxiliary steam supply, utilization, and waste heat recovery. Organize and summarize the collected data to ensure the accuracy and completeness of the data.

[0047] According to the actual situation and operation requirements of the auxiliary steam system, set reasonable energy efficiency expected target, such as improving supply efficiency, improving utilization efficiency, improving waste heat recovery efficiency, etc. The expected target should be a specific measurable index, which can reflect the optimization and promotion direction of the auxiliary steam system. The energy efficiency expected target calculation formula is as follows,

[0048] In the formula, E t is the energy efficiency expected target, E j is the comprehensive energy efficiency index calculated in the jth evaluation, w 1j is the weight factor, which gives higher weight to more recent data, and M1 is the total number of evaluations;

[0049] Compare and analyze the actual energy efficiency data with the set expected target, analyze the gap and deviation between the actual energy efficiency and the target. Determine which aspects of energy efficiency performance have reached the expected target, and which aspects have gaps and improvement space.

[0050] According to the results of comparative analysis, determine the key aspects that need to be improved, such as supply efficiency, utilization equipment energy efficiency, waste heat recovery efficiency, etc. The key improvement aspects should be the aspects that can produce the greatest benefit and improvement space.

[0051] According to the determined improvement key, develop specific improvement measures and schemes, such as optimizing the supply system, improving the utilization equipment, improving the waste heat recovery efficiency, etc. The improvement measures should be specific and feasible operation measures, which can solve the problem and improve the energy efficiency.

[0052] According to the improvement measures, set improvement targets and specific improvement indexes, and clearly define the effects and standards that need to be achieved. Setting improvement targets and indexes should be specific and measurable, which can reflect the actual effect and improvement degree of the improvement measures.

[0053] According to the improvement scheme and target, gradually implement the improvement measures, including technical optimization, equipment update, operation improvement, etc. In the process of implementing the improvement measures, pay attention to reasonable arrangement of work flow, and ensure the effective implementation and landing of the improvement measures.

[0054] Continuously monitor and track the improved auxiliary steam system, evaluate the improvement effect and energy efficiency improvement. According to the monitoring results, timely adjust and optimize the improvement measures, and ensure that the system can continuously maintain good energy efficiency performance.

[0055] Collect the energy efficiency evaluation results of the auxiliary steam system, determine the target of the auxiliary steam system steam scheduling model, and the related expression is as follows:

[0056] In the formula, F(E) is the energy efficiency value, N is the number of data points, λ is the attenuation constant, f(t,xi ) returns filtered information according to the values of t and x i ; x i is the i-th comprehensive energy efficiency index value of the input data point, M2 is the index variable number, and j is the index variable;

[0057] determines the key factors K=(k1, k2,..., k n ) that affect the steam supply scheduling of the auxiliary steam system, as well as the influence degree and correlation of the key factors on the steam supply scheduling;

[0058] Based on the collected energy efficiency evaluation data and the determined influencing factors, an auxiliary steam system steam supply scheduling model is established, and the relevant expression is as follows:

[0059] In the formula, Q supply represents the steam supply amount of the auxiliary steam system, α1 and β1 are weight coefficients for balancing the contributions of energy efficiency indexes and influencing factors in steam supply scheduling, w i is the weight of each comprehensive energy efficiency index value E i , and v j is the weight of each influencing factor k j ;

[0060] The established steam supply scheduling model is calibrated and verified using historical data to ensure that the model can accurately reflect the actual system operation;

[0061] The model is subjected to sensitivity analysis and verification, and the established steam supply scheduling model is applied to actual operation to monitor and evaluate the steam supply scheduling effect and energy efficiency performance of the system.

[0062] S2: Using auxiliary steam supply scheduling optimization algorithm, combining user demand and auxiliary steam generation characteristics, dynamic scheduling optimization and adaptive adjustment of auxiliary steam supply are carried out;

[0063] Specifically, by using the auxiliary steam supply scheduling optimization algorithm, combining user demand and auxiliary steam generation characteristics, dynamic scheduling optimization of auxiliary steam supply is realized, and energy efficiency is maximized. Intelligent control strategy is developed to realize adaptive adjustment of auxiliary steam system, and supply mode is adjusted in real time according to different load conditions and system operation state to ensure safe and stable operation of the system.

[0064] Real-time data of user demand and auxiliary steam generation are obtained in real time through sensors and monitoring systems, real-time data are compared with predicted data, and deviation reasons are analyzed;

[0065] According to real-time data and deviation analysis, dynamic adjustment of auxiliary steam supply scheduling scheme is carried out, including changing supply amount, adjusting supply time, and switching supply source;

[0066] Real-time analysis of user load changes, according to the load situation to predict future demand changes, monitoring the operation of the auxiliary steam system, including equipment efficiency and energy consumption;

[0067] According to the load situation and system operation state, real-time adjustment of auxiliary steam supply mode, including optimization of equipment combination, adjustment of operating parameters, start of standby equipment;

[0068] If the load is higher than the predicted demand, then reduce the number of main equipment or reduce its output power to reduce energy consumption and equipment wear and tear, start standby equipment to maintain system stable operation, while preparing to quickly respond to load increase when needed, optimize equipment combination, ensure that the equipment with high efficiency is put into operation first;

[0069] If the load is equal to the predicted demand, then keep the current main equipment running state, and fine-tune the operating parameters as needed to optimize energy efficiency, monitor the state of standby equipment to ensure it is in good standby state so that it can be quickly switched when needed;

[0070] If the load is lower than the predicted demand, then increase the number of main equipment or increase its output power to meet the increased demand for auxiliary steam, adjust the operating parameters to the optimal working point to ensure that the equipment runs in the high efficiency interval;

[0071] If the main equipment is full or has reached the performance limit, then prepare to start standby equipment to share the load;

[0072] If the system is running stably, keep the current supply mode and continue to monitor key indicators to ensure stable operation of the system, and perform regular preventive maintenance;

[0073] If the system fails or abnormally, immediately switch to standby equipment or standby system to ensure uninterrupted auxiliary steam supply, troubleshoot and repair the faulty equipment to restore its normal operating state as soon as possible, adjust the operation strategy according to the fault type and reason to avoid the fault from happening again.

[0074] The results of real-time adjustment are fed back to the scheduling optimization model for learning and optimization, and the parameters and structure of the model are adjusted according to the feedback results.

[0075] S3: Energy cascade utilization of auxiliary steam system steam supply operation, real-time monitoring of the operation of each link of the auxiliary steam system;

[0076] Specifically, for the waste heat generated in the auxiliary steam system, a waste heat recovery device is designed and installed, which uses waste heat to heat other media or generate electricity, realizing energy reuse and improving energy efficiency. High-temperature, high-pressure auxiliary steam in the auxiliary steam system is used for users who need high-quality steam, while low-temperature, low-pressure auxiliary steam is used for low-quality steam demand, realizing energy cascade utilization and maximizing heating efficiency.

[0077] S4: Based on real-time monitoring data, establish an optimization feedback mechanism to adjust the steam supply strategy and control parameters of the auxiliary steam system.

[0078] Specifically, the system monitors in real time: deploying a monitoring system to monitor the operation of each link of the auxiliary steam system in real time, including temperature, pressure, flow, etc. Based on real-time monitoring data, an optimization feedback mechanism is established to timely adjust the supply strategy and control parameters to maintain the system in the best operating state and continuously optimize system performance.

[0079] Determine the real-time monitoring data that needs to be collected, and clean and preprocess the collected raw data;

[0080] Preliminary analysis of data to understand the characteristics of the auxiliary steam system operation state, and determine the target and index of the optimization feedback mechanism according to the data analysis results;

[0081] Determine the trigger condition of the feedback mechanism, and adjust the steam supply strategy of the auxiliary steam system according to the suggestion of the optimization feedback mechanism;

[0082] Consider the demand changes under different working conditions, develop a steam supply plan, and analyze whether the current control parameter settings are reasonable and whether they meet the optimization target;

[0083] Adjust the control parameters according to the suggestions of the feedback mechanism and verify the effect after adjusting the parameters;

[0084] Test the adjusted auxiliary steam system in the actual running environment, observe the running effect, collect test data, compare and analyze with the data before adjustment, verify the optimization effect, and further adjust the optimization strategy and control parameters according to the test results;

[0085] Continuously monitor the running state and performance of the auxiliary steam system, and continuously optimize the feedback mechanism and adjustment strategy based on new real-time monitoring data and running experience.

[0086] Further, the embodiment also provides an auxiliary steam system steam operation optimization system, comprising: an evaluation module for calculating the comprehensive energy efficiency index of the auxiliary steam system, performing energy efficiency evaluation on the existing auxiliary steam system, and establishing an auxiliary steam system steam scheduling model based on the energy efficiency evaluation result; a scheduling module for using an auxiliary steam supply scheduling optimization algorithm to combine user demand and auxiliary steam generation characteristics to perform dynamic scheduling optimization and adaptive adjustment of auxiliary steam supply; a monitoring module for energy cascade utilization of auxiliary steam system steam operation, and real-time monitoring of the operation of each link of the auxiliary steam system; and an optimization module for establishing an optimization feedback mechanism based on real-time monitoring data to adjust the steam supply strategy and control parameters of the auxiliary steam system.

[0087] The embodiment also provides a computer device suitable for the case of the steam supply operation optimization method of the auxiliary steam system, including a memory and a processor; the memory is used to store computer executable instructions, and the processor is used to execute the computer executable instructions to realize all or part of the steps of the method according to the embodiments of the application.

[0088] The embodiment also provides a storage medium having a computer program stored thereon, and the computer program is executed by a processor to execute the method in any optional implementation manner of the above-mentioned embodiments. The storage medium can be realized by any type of volatile or non-volatile storage device or a combination thereof, such as a static random access memory (SRAM), an electrically erasable programmable read-only memory (EEPROM), an erasable programmable read-only memory (EPROM), a programmable read-only memory (PROM), a read-only memory (ROM), a magnetic storage, a flash memory, a magnetic disk or an optical disk.

[0089] The storage medium according to the embodiment belongs to the same inventive concept as the data storage method according to the above-mentioned embodiments, and the technical details not described in detail in the embodiment can be referred to the above-mentioned embodiments, and the embodiment has the same beneficial effects as the above-mentioned embodiments.

[0090] As known from the above, the method can comprehensively and accurately reflect the energy efficiency level of the auxiliary steam system. The problems and deficiencies of the auxiliary steam system in terms of energy efficiency are determined, thereby providing a targeted direction for optimization. A clear target and basis are provided for energy efficiency optimization. By establishing a steam scheduling model, the energy efficiency evaluation result can be converted into a specific scheduling strategy. The steam supply scheduling of the auxiliary steam system is more scientific and reasonable, and the energy efficiency level of the system can be effectively improved. The steam supply can be flexibly adjusted according to actual needs to meet the steam supply demand under different working conditions. Precise control of auxiliary steam supply is realized. By combining user demand and auxiliary steam generation characteristics, the timeliness and accuracy of auxiliary steam supply are ensured, and resource waste is avoided. Through the cascade utilization of energy of the auxiliary steam system, the energy utilization efficiency can be maximized, energy loss and waste can be reduced, and the energy efficiency level of the auxiliary steam system can be improved. Problems and deficiencies in the running process of the auxiliary steam system can be found in time, and real-time adjustment and optimization of the steam supply strategy and control parameters are realized. The stable operation of the auxiliary steam system is ensured, and the energy efficiency level of the system is continuously improved.

[0091] Embodiment 2

[0092] Referring to FIG. 2, a second embodiment of the present application provides a method for optimizing operation of a supplementary steam system, and scientific demonstration is made through economic benefit calculation and simulation experiment to verify the beneficial effects of the present application.

[0093] The reconstruction uses the 2024 maintenance period of the two units, and one line is drawn from each of the two units to the heat supply pipeline to the intelligent heat supply system in the plant area and the city bathing and heating steam system, and the steam supply mode of the intelligent heat supply system in the plant area and the city bathing and heating steam system is changed from a low auxiliary header to six-stage steam extraction of the two units. The city bathing steam supply main pipe is expanded, and the original pipe is replaced with pipe. The intelligent heat supply system in the plant area adds an electric regulating valve to realize automatic control.

[0094] After the reconstruction, six-stage steam extraction replaces low auxiliary header steam supply, which conforms to the principle of steam ladder utilization. The rated parameters of the three steam supply sources are as follows:

[0095] As shown in the table, the intelligent heat supply system in the plant area has a heat supply of about 98,000 GJ per year; the city bathing and heating steam system is expected to have a heat supply of about 28,260 GJ per year, for a total of 126,260 GJ. After the reconstruction, the use of six-stage steam extraction for steam supply is expected to save 788.1 tons of standard coal per year, with energy-saving benefits of about 275,800 yuan; compared with the two-stage steam extraction steam supply mode, it is expected to save 135.7 tons of standard coal per year, with energy-saving benefits of about 47,500 yuan, and the annual energy-saving benefits are expected to be 100,000-200,000 yuan under the current operation mode.

[0096] Before optimization, due to the fluctuation of the auxiliary steam header pressure, the city bathing and heating steam system steam supply regulating valve opening needs to be limited, which causes the steam supply to be unable to meet the requirements. After the reconstruction, the city bathing and heating steam system steam supply regulating valve remains fully open, and the steam supply main pipe is expanded to increase the steam supply and increase the number of daily average bathing and heating vehicles, thereby increasing the enterprise's heat sales revenue. After optimization, the fluctuation problem of the auxiliary steam header pressure caused by the city bathing and heating steam system is solved, the equipment safety hazard is eliminated, and the unit safety is improved. Before optimization, the intelligent heat supply system in the plant area needs to be manually adjusted, and after the reconstruction, the steam supply electric regulating valve is added to realize automatic adjustment, thereby reducing the labor intensity of the operation personnel.

[0097] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present application and not to limit it. Although the present application has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present application can be modified or replaced equivalently without departing from the spirit and scope of the technical solutions of the present application, and they should be covered in the scope of the claims of the present application.

Claims

1. A method for optimizing steam supply operation of a supplementary steam system, characterized by: Comprise, Calculate the comprehensive energy efficiency index of the auxiliary steam system, evaluate the energy efficiency of the existing auxiliary steam system, and establish a steam supply scheduling model for the auxiliary steam system based on the energy efficiency evaluation results; Use the auxiliary steam supply scheduling optimization algorithm to combine user demand and auxiliary steam generation characteristics to perform dynamic scheduling optimization and adaptive adjustment of auxiliary steam supply; Perform energy cascade utilization of the auxiliary steam system steam supply operation and real-time monitoring of the operation of each link of the auxiliary steam system; Based on real-time monitoring data, establish an optimization feedback mechanism to adjust the steam supply strategy and control parameters of the auxiliary steam system.

2. The method of claim 1, wherein: The calculation of the comprehensive energy efficiency index of the auxiliary steam system comprises the following steps, Record and analyze the types and consumption of fuels used in the auxiliary steam generation process, calculate the actual fuel combustion efficiency, and evaluate the actual efficiency of the boiler; Suppose there are n kinds of fuel, respectively denoted as (R1, R2,..., R n ), and the corresponding consumption amounts are (C1, C2,..., C n ). The actual fuel consumption is expressed as: The combustion efficiency of the actual fuel is calculated, the higher heating value of the actual fuel being H f , the thermal efficiency of the boiler being η b,l , the relevant expression being as follows: E1 = η c • η b,l wherein η c is the actual fuel combustion efficiency; Q s is the actual steam production; h v is the specific enthalpy of the steam, and E1 is the actual efficiency of the boiler. According to the pipeline parameters in the auxiliary steam conveying process, heat loss in the conveying process is calculated, pressure drop of the auxiliary steam in the conveying process is considered, the pressure drop value is calculated, and conveying efficiency of the system is evaluated; Where E2 is the delivery efficiency of the system, k is the heat transfer coefficient, L is the length of the pipe, T in and T out are the inlet and outlet temperatures of the auxiliary steam, respectively, D is the inner diameter of the pipe; ΔP is the pressure drop, ΔP max is the maximum pressure drop allowed by the system; Analyze the load condition of the auxiliary steam utilization end, evaluate the utilization efficiency of the auxiliary steam; where E3 is the utilization efficiency of the auxiliary steam, N represents the number of samples, a and g are normalization parameters, b is an exponential parameter, Q g represents the amount of auxiliary steam supplied, Q l represents the amount of auxiliary steam actually utilized, Q h represents the amount of auxiliary steam recovered by the waste heat recovery device, Q sc represents the energy output by the device, Q sr represents the energy input to the device, i.e., the amount of auxiliary steam; Combining the energy efficiency evaluation results of each link, the comprehensive energy efficiency index of the auxiliary steam system is calculated, and the calculation formula of the comprehensive energy efficiency index is as follows: In the formula, E is a comprehensive energy efficiency index, E i represents the energy efficiency evaluation result of each link, ω i represents the weight of each evaluation result, and m represents the number of weights.

3. The method of claim 2, wherein: The energy efficiency evaluation includes evaluating the system based on the comprehensive energy efficiency index of the auxiliary steam system and analyzing the system energy efficiency evaluation results; The energy efficiency data of the auxiliary steam system is collected, the collected data is summarized, the energy efficiency expected target is set according to the actual situation and operation requirement of the auxiliary steam system, and the energy efficiency expected target calculation formula is as follows, In the formula, E t is the energy efficiency expectation target, E j is the comprehensive energy efficiency index calculated in the jth evaluation, w 1j is a weight factor, giving higher weight to more recent data, and M1 is the total number of evaluations. Compare the actual comprehensive energy efficiency index with the set expected target, analyze the deviation between the actual energy efficiency and the target, and determine the key aspects that need to be improved; According to the results of the comparative analysis, determine the key aspects that need to be improved, develop improvement measures and schemes for the determined improvement key points, and implement the improvement measures according to the developed improvement schemes and targets. The establishment of the steam supply scheduling model of the auxiliary steam system comprises the following steps, 4. The method of claim 3, wherein: Use historical data to calibrate and verify the established steam supply scheduling model to ensure that the model can accurately reflect the actual system operation; The energy efficiency evaluation results of the auxiliary steam system are collected to determine the target of the steam supply scheduling model of the auxiliary steam system, and the relevant expression is as follows: where F(E) is the energy efficiency value, N is the number of data points, λ is a decay constant, f(t,x i ) is a function that returns filtered information as a function of t and x i ; x i is the i-th integrated energy efficiency indicator value of the input data point, M2 is the number of index variables, and j is an index variable. Determine the key factors K = (k1, k2,..., kn) that affect the steam supply scheduling of the auxiliary steam system, as well as the influence degree and correlation of the key factors on the steam supply scheduling. n ), and the influence degree and correlation of the key factors on the steam supply scheduling. Based on the collected energy efficiency evaluation data and the determined influencing factors, a steam supply scheduling model of the auxiliary steam system is established, and relevant expressions are as follows: In the formula, Q supply represents the steam supply of the auxiliary steam system, and α1 and β1 are weight coefficients for balancing the contribution of the energy efficiency index and the influencing factors in the steam supply scheduling, w i is the weight of each comprehensive energy efficiency index value E i , v j is the weight of each influencing factor k j . Perform sensitivity analysis and verification on the model, apply the established steam supply scheduling model to actual operation, and monitor and evaluate the steam supply scheduling effect and energy efficiency performance of the system. The adaptive adjustment comprises the following steps, 5. The method of claim 4, wherein the method further comprises: determining a steam supply operation optimization of the auxiliary steam system based on the steam supply operation optimization of the steam turbine system. Real-time acquisition of user demand and real-time data of auxiliary steam generation through sensors and monitoring systems, comparison of real-time data with predicted data, and analysis of deviation reasons; According to the real-time data and deviation analysis, dynamically adjust the auxiliary steam supply scheduling scheme, including changing the supply amount, Adjust the supply time, and switch the supply source; Real-time analysis of user load changes, prediction of future demand changes based on load conditions, monitoring of the running state of the auxiliary steam system, including device efficiency and energy consumption; According to the load condition and system running state, real-time adjust the supply mode of auxiliary steam, including optimizing device combination, adjusting operation parameters, and starting standby devices; The results of real-time adjustment are fed back to the scheduling optimization model for learning and optimization, and the parameters and structure of the model are adjusted according to the feedback results. The real-time adjustment of the supply mode of auxiliary steam comprises, 6. The method of claim 5, wherein: If the load condition is higher than the predicted demand, reduce the number of main devices in operation or reduce their output power to reduce energy consumption and device wear and tear, start standby devices to maintain stable operation of the system, and prepare to quickly respond to load increase when needed, optimize device combination, and ensure that devices with high operation efficiency are preferentially put into operation; If the load condition is the same as the predicted demand, maintain the current operation state of the main devices and fine-tune the operation parameters as needed to optimize energy efficiency, monitor the state of the standby devices to ensure that they are in good standby state, and be ready for quick switching when needed; ​ If the load condition is lower than the predicted demand, increase the number of main devices in operation or increase their output power to meet the increased auxiliary steam demand, adjust the operating parameters to the optimal working point, and ensure that the device operates in the high efficiency range; If the main device is full or has reached its performance limit, prepare to start the standby device to share the load; If the system is running stably, keep the current supply mode and continue to monitor the key indicators to ensure stable operation of the system, and perform regular preventive maintenance; If the system fails or abnormally, immediately switch to the standby device or standby system to ensure uninterrupted auxiliary steam supply, troubleshoot and repair the failed device as soon as possible to restore its normal operating state, and adjust the operation strategy according to the fault type and reason to avoid the fault from occurring again.

7. The method of claim 6, wherein: The establishment of the optimization feedback mechanism includes the following steps, Determine the real-time monitoring data that needs to be collected, and clean and preprocess the collected raw data; Perform preliminary analysis on the data to understand the characteristics of the auxiliary steam system operation state, and determine the target and index of the optimization feedback mechanism based on the data analysis results; Determine the trigger condition of the feedback mechanism, and adjust the steam supply strategy of the auxiliary steam system according to the suggestion of the optimization feedback mechanism; Consider the demand changes under different working conditions, develop a steam supply plan, and analyze whether the current control parameter settings are reasonable and whether they meet the optimization target; Adjust the control parameters according to the suggestion of the feedback mechanism, and verify the effect after the parameter adjustment; Test the adjusted auxiliary steam system in the actual running environment, observe the running effect, collect test data, compare and analyze with the data before adjustment, verify the optimization effect, and further adjust the optimization strategy and control parameters according to the test results; Continuously monitor the running state and performance of the auxiliary steam system, and continuously optimize the feedback mechanism and adjust the strategy based on new real-time monitoring data and running experience.

8. A supplementary gas system gas supply operation optimization system based on the supplementary gas system gas supply operation optimization method according to any one of claims 1 to 7, characterized by: It includes, An evaluation module for calculating the comprehensive energy efficiency index of the auxiliary steam system, performing energy efficiency evaluation on the existing auxiliary steam system, and establishing an auxiliary steam supply scheduling model based on the energy efficiency evaluation results; A scheduling module for using an auxiliary steam supply scheduling optimization algorithm to combine user demand and auxiliary steam generation characteristics to perform dynamic scheduling optimization and adaptive adjustment of auxiliary steam supply; A monitoring module for energy cascade utilization of auxiliary steam system steam supply operation, and real-time monitoring of the operation of each link of the auxiliary steam system; An optimization module for establishing an optimization feedback mechanism based on real-time monitoring data, adjusting the auxiliary steam system steam supply strategy and control parameters. 9.A computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the computer device is characterized in that: The processor executes the computer program to realize the steps of the auxiliary steam system steam supply operation optimization method of any one of claims 1-7.

10. A computer readable storage medium having stored thereon a computer program, characterized in that: The computer program is executed by the processor to realize the steps of the auxiliary steam system steam supply operation optimization method of any one of claims 1-7.

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