Textile industry electric power-steam scheduling method and system considering production process characteristics

Abstract

The invention discloses a textile industry power-steam scheduling method and system considering production process characteristics, and the method comprises the steps: building a textile industry user production whole-process architecture based on a textile industry user energy supply structure and a production process flow, and building a textile industry power-steam scheduling system based on the production whole-process architecture. The method comprises the steps of constructing a multi-energy-flow coupling equipment model, constructing textile industry user production constraints based on a production full-flow framework, setting a textile industry system operation optimization objective function, and constructing a textile industry optimization scheduling model based on the multi-energy-flow coupling equipment model, the textile industry user production constraints and the optimization objective function. And collecting related data of typical daily textile industry users, and solving the textile industry optimization scheduling model to obtain a power-steam scheduling result. The method has the outstanding advantages of high flexibility, high comprehensiveness, high effectiveness, high practicability and the like.

Description

Technical Field

[0001] The invention belongs to the technical field of power dispatching, and in particular relates to a method and system for dispatching power-steam in the textile industry taking into account production process characteristics. Background Art

[0002] The power system relies on conventional power sources that can be flexibly adjusted to cope with the volatility of power demand at the user end. However, with the continuous integration of intermittent renewable energy sources such as wind and solar energy into the power grid, the uncertainty faced by the power system has increased significantly, and the problem of insufficient system flexibility has also been exposed. In view of this, it is particularly important to explore and improve the flexibility of existing power resources. In the field of process industry, studies have shown that the adaptability and flexibility of the power system can be significantly improved by optimizing the management of user-side resources and working in coordination with the power grid. As the main sector of electricity consumption in my country, the process industry accounts for more than 40% of the total electricity consumption in the whole society. This industry has a high level of automation and a solid foundation for providing system flexibility. As an important branch of the process industry, the textile industry is particularly dependent on steam energy in its production process. However, on the one hand, the heat consumption in the steam production, transmission and storage process is large, and supplementary heating is required, which may cause peak loads on the power grid; on the other hand, the rated temperatures of steam in each production process of textile industry users are different, which may waste a large amount of steam resources at different temperatures. Therefore, how can textile industry users optimize the use of steam energy in the textile industry under the overall tight electricity supply and demand situation, taking into account steam temperature, steam equivalent energy storage characteristics and production task constraints, and coordinate with the power grid to achieve precise coordinated electricity-heat scheduling between the power grid and textile industry users? This is of great significance to achieving demand response and thus coordinating power grid energy.

[0003] CN118211344A discloses a steam accumulator equivalent energy storage method, equipment and medium for the textile industry. This patent relates to the field of power dispatching technology, and specifically to a steam accumulator equivalent energy storage method, equipment and medium for the textile industry. The present invention analyzes a dynamic model based on the working principle of the steam accumulator; based on the thermodynamic state association between the temperature and pressure, density and enthalpy of water and steam, a flow and energy model is refined; based on the above-mentioned steam flow and steam enthalpy, a thermodynamic equivalent energy storage model of the steam accumulator is constructed; combined with the thermodynamic principles including mass conservation and energy conservation and the thermodynamic properties of steam, a dispatchable boundary calculation method is proposed, including the flow boundary and energy boundary of steam; the modeling system platform is used to call the solver to solve the planning model and construct the steam accumulator equivalent energy storage model. The above mainly focuses on the equivalent energy storage model of the steam accumulator. Although a modeling based on thermodynamic principles is provided, it lacks comprehensive consideration of the actual production process. At the same time, the modeling and optimization of multi-energy flow coupling equipment are not discussed in detail, resulting in its insufficient flexibility and effectiveness in practical applications.

[0004] CN113361960A discloses a method, medium, device and equipment for quantifying large-scale demand response capability. This patent constructs a fuzzy set of random parameters in the linear region of the user consumer psychology response model based on the idea of ​​distributed robustness, models the characteristics of small sample demand response, and mines the relationship between the power consumption of small sample users and their response dead zone inflection points and saturation zone inflection points based on principal component analysis. It also uses a combination of commonality and individuality to achieve the acquisition of key parameters of general user responses in the large-scale generalization process, and finally achieves large-scale demand response capability evaluation based on small sample data. The above-mentioned optimization goal is mainly to evaluate demand response capability. Although it is a demand response capability evaluation with wide applicability in theory, the goal is relatively single and lacks in-depth analysis of specific industry applications, so the effectiveness is insufficient and the practicality is not high. Summary of the invention

[0005] In order to solve the shortcomings of the prior art such as poor flexibility, weak comprehensiveness, weak effectiveness and poor practicality, the present invention provides a textile industry electricity-steam scheduling method and system taking into account the characteristics of the production process.

[0006] The present invention adopts the following technical solution.

[0007] The present invention discloses, on one hand, a method for dispatching electricity and steam in the textile industry taking into account the characteristics of the production process, comprising:

[0008] Step 1: Based on the energy supply structure and production process flow of textile industry users, build the full production process architecture of textile industry users;

[0009] Step 2: Based on the full production process architecture, construct a multi-energy flow coupling equipment model;

[0010] Step 3: Based on the full production process architecture, construct the production constraints of textile industry users;

[0011] Step 4: Set the optimization objective function of the textile industry system operation, and build the optimization scheduling model of the textile industry based on the multi-energy flow coupling equipment model, the production constraints of textile industry users and the optimization objective function;

[0012] Step 5: Collect relevant data of textile industry users, solve the optimization scheduling model of the textile industry, and obtain the electricity-steam scheduling results.

[0013] More preferably,

[0014] In step 1, the energy supply structure of textile industry users describes the relationship between textile production processes and energy supply devices;

[0015] In the production process flow, the order of the production processes is the weaving process, the printing and dyeing process, and the ironing process; a storage warehouse is set between every two adjacent processes, which are recorded as the first storage warehouse and the second storage warehouse.

[0016] More preferably,

[0017] In step 1, the multi-energy flow coupling equipment model includes a gas boiler model, an electric steam boiler model, a condensing machine model, and a steam accumulator model.

[0018] More preferably,

[0019] The gas boiler model is expressed as follows:

[0020]

[0021] in Represents the heating power of the gas boiler at time t; η GB represents the heat generation efficiency of the gas boiler at time t; V t GB represents the natural gas consumption of the gas boiler at time t; β represents the lower calorific value of natural gas, which is 9.97kW×h / m 3 ; Δt represents the time interval between two sampling points.

[0022] More preferably,

[0023] The steam accumulator model is expressed as follows:

[0024]

[0025] in, It represents the steam flow rate input into the steam accumulator at time t; is a 0-1 variable, When , it indicates that steam is input into the steam accumulator, otherwise, it indicates that no steam is input; represents the maximum value of the steam flow rate input to the steam accumulator; m is an integer, and m∈[1,N te1 ],N te1 represents the total number of textile production lines; represents the steam flow rate of the steam accumulator discharged to the mth textile production line at time t; n is an integer, and n∈[1,N pd2 ],N pd2 Indicates the total number of printing and dyeing production lines; represents the steam flow rate of the steam accumulator discharged to the nth printing and dyeing production line at time t; l is an integer, and l∈[1, N ir3 ],N ir3 Indicates the total number of ironing process production lines; represents the steam flow rate discharged from the steam accumulator to the first ironing process production line at time t; is a 0-1 variable, When , it means the steam accumulator outputs steam, otherwise it means no steam is output; Indicates the maximum value of steam flow rate output by the steam accumulator; Indicates the remaining capacity of the steam accumulator at time t; Indicates the minimum value of the remaining capacity of the steam accumulator; Indicates the maximum value of the remaining capacity of the steam accumulator; It represents the remaining capacity of the steam accumulator at the initial moment of the optimization cycle; Indicates the remaining capacity of the steam accumulator at the end of the optimization cycle; Indicates the remaining capacity of the steam accumulator at time t-1; h SAcha Indicates the enthalpy of steam input into the steam accumulator; represents the steam enthalpy value delivered by the steam accumulator to the mth textile production line at time t, represents the steam enthalpy value delivered by the steam accumulator to the nth printing and dyeing production line at time t, It represents the steam enthalpy value delivered by the steam accumulator to the lth ironing production line at time t.

[0026] More preferably,

[0027] In step 3, the production constraints of textile industry users include continuous production line task constraints, production sequence constraints, storage link constraints, and production process temperature constraints;

[0028] More preferably,

[0029] The continuous production line task constraints include textile production line task constraints, printing and dyeing production line task constraints, and ironing production line task constraints;

[0030] The task constraint of the textile production line is used to limit the running time of the textile production line and the output of the textile production line at time t;

[0031] The task constraint of the printing and dyeing production line is used to limit the running time of the printing and dyeing production line and the output of the printing and dyeing production line at time t;

[0032] The ironing production line task constraints are used to limit the running time of the ironing production line and the output of the ironing production line at time t.

[0033] More preferably,

[0034] The production order constraints are as follows:

[0035]

[0036] Wherein, h represents any time in the planning cycle; T represents the length of the planning cycle; d represents the minimum value of the sum of the production time of the textile process and the storage time of the first storage warehouse; f represents the minimum value of the sum of the production time of the printing and dyeing process and the storage time of the second storage warehouse; is a 0-1 variable, It indicates that the textile production line is running, otherwise it indicates that the textile production line is not running; is a 0-1 variable, It indicates that the printing and dyeing production line is running, otherwise it indicates that the printing and dyeing production line is not running; is a 0-1 variable, Indicates that the ironing production line is running, otherwise it means that the ironing production line is not running; F te1 Indicates the output of each textile production line per unit time; F pd2 Indicates the output of each printing and dyeing production line per unit time; F ir3 Indicates the output of each ironing production line per unit time.

[0037] More preferably,

[0038] The storage link constraints include a first storage warehouse constraint and a second storage warehouse constraint;

[0039] The first storage warehouse constraint is used to balance the relationship between the material capacity of the first storage warehouse, the output of the textile production line and the output of the printing and dyeing production line;

[0040] The second storage warehouse constraint is used to balance the relationship between the material capacity of the second storage warehouse, the output of the printing and dyeing production line, and the output of the ironing production line.

[0041] More preferably,

[0042] The production process temperature constraints include textile process temperature constraints, printing and dyeing process temperature constraints and ironing process temperature constraints;

[0043] The textile process temperature constraint is used to limit the relationship between the pressure of the textile process at the rated steam temperature, the rated steam temperature required by the textile process, the steam enthalpy corresponding to the rated steam temperature required by the textile process, the steam flow input by the textile process at the rated steam temperature, and the steam energy demand per unit time of the textile process;

[0044] The temperature constraint of the printing and dyeing process is used to limit the pressure of the printing and dyeing process at the rated steam temperature, the rated steam temperature required by the printing and dyeing process, the steam enthalpy corresponding to the rated steam temperature required by the printing and dyeing process, the steam flow input at the rated steam temperature of the printing and dyeing process, and the correlation between the steam energy demand per unit time of the printing and dyeing process;

[0045] The temperature constraint of the ironing process is used to limit the relationship between the pressure of the ironing process at the rated steam temperature, the rated steam temperature required for the ironing process, the steam enthalpy value corresponding to the rated steam temperature required for the ironing process, the steam flow rate input for the ironing process at the rated steam temperature, and the steam energy demand per unit time of the ironing process.

[0046] More preferably,

[0047] In step 4, the textile industry system operation optimization objective function formula is as follows:

[0048] min(C e +C g +C p +C SA );

[0049] Among them, C e represents the electricity purchase cost within the optimization cycle length; C g represents the gas purchase cost within the optimization cycle length; C p represents the operation and maintenance cost of production equipment within the optimization cycle length; C SA represents the operation and maintenance cost of the steam accumulator within the optimized period length; min(·) means taking the minimum value of the formula in the brackets.

[0050] More preferably,

[0051] In step 4, the textile industry optimization scheduling model also includes multi-energy balance constraints constructed for the optimization objective function; the multi-energy balance constraints include electrical energy balance constraints, thermal energy balance constraints, and steam energy balance constraints.

[0052] More preferably,

[0053] The formula of the power balance constraint is as follows:

[0054]

[0055] Among them, P t PV represents the electric power output of distributed photovoltaic at time t; P t grid represents the power purchased from the external power grid at time t; P t base represents the basic electricity load of textile industry users at time t; P t ESB represents the electric power input to the electric steam boiler at time t; D e_te1 represents the electricity demand per unit time of the textile process; D e_pd2 Indicates the electricity demand per unit time of the printing and dyeing process; D e_ir3It represents the electricity demand per unit time of the ironing process; the basic electricity load of textile industry users includes factory lighting and ventilation and air conditioning systems; It represents the electric power required by the condenser to supply steam to the mth textile production line at time t; It represents the electric power required by the condenser to supply steam to the nth printing and dyeing production line at time t; It represents the electric power required by the condenser to supply steam to the first ironing process production line at time t.

[0056] More preferably,

[0057] In step 5, the textile industry user-related data include the textile industry users' electrical load, thermal load, energy acquisition parameters and input equipment operating parameters; wherein the energy acquisition parameters include the electric power output of distributed photovoltaics, the electricity price of the external power grid, the power of electricity purchased from the external power grid, the natural gas consumption, the lower calorific value of natural gas and the price of natural gas; the input equipment operating parameters include gas boiler operating parameters, electric steam boiler operating parameters, condensing machine operating parameters, steam accumulator operating parameters, textile process operating parameters, printing and dyeing process operating parameters, ironing process operating parameters, basic parameters of the first storage warehouse, and basic parameters of the second storage warehouse.

[0058] On the other hand, the present invention discloses a textile industry power-steam scheduling system taking into account the production process characteristics based on the textile industry power-steam scheduling method taking into account the production process characteristics, comprising: a production full-process architecture building module, a data acquisition multi-energy flow coupling equipment model building module, a textile industry user production constraint building module, a textile industry optimization scheduling model building module and a textile industry optimization scheduling model solving module.

[0059] The full-process production architecture building module builds a full-process production architecture for textile industry users based on the energy supply structure and production process flow of textile industry users;

[0060] The data acquisition multi-energy flow coupling equipment model construction module constructs a multi-energy flow coupling equipment model based on the production full process architecture;

[0061] The textile industry user production constraint construction module constructs the textile industry user production constraints based on the full production process architecture;

[0062] The textile industry optimization scheduling model construction module sets the textile industry system operation optimization objective function, and constructs the textile industry optimization scheduling model based on the multi-energy flow coupling equipment model, the textile industry user production constraints and the optimization objective function;

[0063] The textile industry optimization scheduling model solving module collects textile industry user-related data, solves the textile industry optimization scheduling model, and obtains scenario scheduling results.

[0064] On the other hand, the present application discloses an electronic device, including a processor and a storage medium; the characteristics are:

[0065] The storage medium is used to store instructions;

[0066] The processor is used to operate according to the instructions to execute the above-mentioned electricity-steam scheduling method for the textile industry taking into account the characteristics of the production process.

[0067] The present application also discloses a computer-readable storage medium having a computer program stored thereon, wherein when the program is executed by a processor, the method for dispatching electricity and steam for the textile industry taking into account the characteristics of the production process is implemented.

[0068] The beneficial effects of the present invention are as follows:

[0069] The electric power-steam dispatching method and system for the textile industry proposed in the present invention, which takes into account the characteristics of the production process, proposes a full-process architecture for the production of textile industry users based on the energy network structure and the production process flow, considers the process temperature, steam equivalent energy storage characteristics and production process constraints, and constructs a production process flow model for textile industry users. Based on this complex optimization model, it effectively stimulates the coordinated interaction between various energy sources within industrial users and the power grid, responds to electricity prices through valley charging and high discharge of steam accumulators, and improves the consumption of new energy, effectively improving the comprehensive utilization rate of energy and the economy of industrial users. At the same time, it takes into account the controllability of the production cycle of textile industry users, increases the spare time of production dispatchability, and improves the capacity of users to respond to electricity prices. Compared with the uncontrollable production cycle, the cost is reduced and the demand response capability is improved.

[0070] In addition, the present invention has outstanding advantages such as high flexibility, strong comprehensiveness, strong effectiveness and high practicality. BRIEF DESCRIPTION OF THE DRAWINGS

[0071] Figure 1 A schematic flow chart of a method for dispatching electricity and steam for the textile industry taking into account the characteristics of the production process according to the present invention;

[0072] Figure 2 Schematic diagram of energy supply structure for textile industry users;

[0073] Figure 3 This is a schematic diagram of the production process of the textile industry;

[0074] Figure 4 Produce a schematic diagram of the entire process architecture for textile industry users;

[0075] Figure 5 A schematic diagram of a comparison of power purchases by users in the textile industry provided in one embodiment of the present invention;

[0076] Figure 6 A schematic diagram of the operation of a steam accumulator provided by an embodiment of the present invention;

[0077] Figure 7 A schematic diagram of demand response capacity for different task volumes in the textile industry provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0078] In order to make the purpose, technical scheme and advantages of the present invention clearer, the technical scheme of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. The embodiments described in this application are only part of the embodiments of the present invention, not all of them. Based on the spirit of the present invention, other embodiments obtained by ordinary technicians in this field without creative work are all within the scope of protection of the present invention.

[0079] The invention discloses a method for dispatching power and steam in the textile industry taking into account the characteristics of the production process. First, the full-process architecture of the textile industry users, which can reflect the entire process of the production process of the textile industry users, including energy supply and the process between production processes, is introduced in detail, including the energy network structure and the production process flow. Among them, the load types include electricity, natural gas, hot water and steam; secondly, a production process flow model of the textile industry users considering the steam temperature is established, including continuous production line tasks, production sequence, storage links and production process temperature constraints; then, with the goal of minimizing the daily operating cost of the textile industry users, an optimization dispatching model is constructed; wherein the production process flow sequence is textile, printing and dyeing, and ironing processes, and a storage link is set between every two adjacent processes.

[0080] This application discloses a method for dispatching electricity and steam for the textile industry taking into account the characteristics of the production process. Figure 1 ,include:

[0081] Step 1: Based on the energy supply structure and production process flow of textile industry users, build the full production process architecture of textile industry users;

[0082] See attached Figure 2 The energy supply structure of textile industry users describes the relationship between textile production processes and energy supply devices.

[0083] See attached Figure 3 In the production process flow, the order of the production processes is textile process, printing and dyeing process and ironing process; a storage warehouse is set between every two adjacent processes, which are recorded as the first storage warehouse and the second storage warehouse.

[0084] See attached Figure 4 The combination of energy supply structure and production process flow of textile industry users is the full-process production architecture of textile industry users.

[0085] Step 2: Based on the full production process architecture, construct a multi-energy flow coupling equipment model;

[0086] The multi-energy flow coupling equipment model includes a gas boiler model, an electric steam boiler model, a condensing machine model, and a steam accumulator model.

[0087] The gas boiler model is expressed as follows:

[0088]

[0089] in, Represents the heating power of the gas boiler at time t; η GB represents the heat generation efficiency of the gas boiler at time t; V t GB represents the natural gas consumption of the gas boiler at time t; β represents the lower calorific value of natural gas, which is 9.97kW×h / m 3 ; Δt represents the time interval between two sampling points.

[0090] The steam accumulator model is expressed as follows:

[0091]

[0092] in, It represents the steam flow rate input into the steam accumulator at time t; is a 0-1 variable, When , it indicates that steam is input into the steam accumulator, otherwise, it indicates that no steam is input; represents the maximum value of the steam flow rate input to the steam accumulator; m is an integer, and m∈[1,N te1 ],N te1 represents the total number of textile production lines; represents the steam flow rate of the steam accumulator discharged to the mth textile production line at time t; n is an integer, and n∈[1,N pd2 ],N pd2 Indicates the total number of printing and dyeing production lines; represents the steam flow rate of the steam accumulator discharged to the nth printing and dyeing production line at time t; l is an integer, and l∈[1, N ir3 ],N ir3 Indicates the total number of ironing process production lines; represents the steam flow rate discharged from the steam accumulator to the first ironing process production line at time t; is a 0-1 variable, When , it means the steam accumulator outputs steam, otherwise it means no steam is output; Indicates the maximum steam flow rate output by the steam accumulator; S t SAIndicates the remaining capacity of the steam accumulator at time t; Indicates the minimum value of the remaining capacity of the steam accumulator; Indicates the maximum value of the remaining capacity of the steam accumulator; It represents the remaining capacity of the steam accumulator at the initial moment of the optimization cycle; Indicates the remaining capacity of the steam accumulator at the end of the optimization cycle; Indicates the remaining capacity of the steam accumulator at time t-1; h SAcha Indicates the enthalpy of steam input into the steam accumulator;

[0093] represents the steam enthalpy value delivered by the steam accumulator to the mth textile production line at time t, represents the steam enthalpy value delivered by the steam accumulator to the nth printing and dyeing production line at time t, It represents the steam enthalpy value delivered by the steam accumulator to the lth ironing production line at time t.

[0094] Step 3: Based on the full production process architecture, construct the production constraints of textile industry users;

[0095] The production constraints of textile industry users include continuous production line task constraints, production sequence constraints, storage link constraints, and production process temperature constraints;

[0096] The continuous production line task constraints include textile production line task constraints, printing and dyeing production line task constraints, and ironing production line task constraints;

[0097] The task constraint of the textile production line is used to limit the running time of the textile production line and the output of the textile production line at time t;

[0098] The task constraint of the printing and dyeing production line is used to limit the running time of the printing and dyeing production line and the output of the printing and dyeing production line at time t;

[0099] The ironing production line task constraints are used to limit the running time of the ironing production line and the output of the ironing production line at time t.

[0100] The production order constraints are as follows:

[0101]

[0102] Wherein, h represents any time in the planning cycle; T represents the length of the planning cycle; d represents the minimum value of the sum of the production time of the textile process and the storage time of the first storage warehouse; f represents the minimum value of the sum of the production time of the printing and dyeing process and the storage time of the second storage warehouse; is a 0-1 variable, It indicates that the textile production line is running, otherwise it indicates that the textile production line is not running; is a 0-1 variable, It indicates that the printing and dyeing production line is running, otherwise it indicates that the printing and dyeing production line is not running; is a 0-1 variable, Indicates that the ironing production line is running, otherwise it means that the ironing production line is not running; F te1 Indicates the output of each textile production line per unit time; F pd2 Indicates the output of each printing and dyeing production line per unit time; F ir3 Indicates the output of each ironing production line per unit time.

[0103] The storage link constraints include a first storage warehouse constraint and a second storage warehouse constraint;

[0104] The first storage warehouse constraint is used to balance the relationship between the material capacity of the first storage warehouse, the output of the textile production line and the output of the printing and dyeing production line;

[0105] The second storage warehouse constraint is used to balance the relationship between the material capacity of the second storage warehouse, the output of the printing and dyeing production line, and the output of the ironing production line.

[0106] The production process temperature constraints include textile process temperature constraints, printing and dyeing process temperature constraints and ironing process temperature constraints;

[0107] The textile process temperature constraint is used to limit the relationship between the pressure of the textile process at the rated steam temperature, the rated steam temperature required by the textile process, the steam enthalpy corresponding to the rated steam temperature required by the textile process, the steam flow input by the textile process at the rated steam temperature, and the steam energy demand per unit time of the textile process;

[0108] The temperature constraint of the printing and dyeing process is used to limit the pressure of the printing and dyeing process at the rated steam temperature, the rated steam temperature required by the printing and dyeing process, the steam enthalpy corresponding to the rated steam temperature required by the printing and dyeing process, the steam flow input at the rated steam temperature of the printing and dyeing process, and the correlation between the steam energy demand per unit time of the printing and dyeing process;

[0109] The temperature constraint of the ironing process is used to limit the relationship between the pressure of the ironing process at the rated steam temperature, the rated steam temperature required for the ironing process, the steam enthalpy value corresponding to the rated steam temperature required for the ironing process, the steam flow rate input for the ironing process at the rated steam temperature, and the steam energy demand per unit time of the ironing process.

[0110] Step 4: Set the optimization objective function of the textile industry system operation, and build the optimization scheduling model of the textile industry based on the multi-energy flow coupling equipment model, the production constraints of textile industry users and the optimization objective function;

[0111] The objective function formula of the textile industry system operation optimization is as follows:

[0112] min(C e +C g +C p +C SA );

[0113] Among them, C e represents the electricity purchase cost within the optimization cycle length; C g represents the gas purchase cost within the optimization cycle length; C p represents the operation and maintenance cost of production equipment within the optimization cycle length; C SA represents the operation and maintenance cost of the steam accumulator within the optimized period length; min(·) means taking the minimum value of the formula in the brackets.

[0114] The textile industry optimization scheduling model also includes multi-energy balance constraints constructed for the optimization objective function; the multi-energy balance constraints include electrical energy balance constraints, thermal energy balance constraints, and steam energy balance constraints.

[0115] The formula for the power balance constraint is as follows:

[0116]

[0117] Among them, P t PV represents the electric power output of distributed photovoltaic at time t; P t grid represents the power purchased from the external power grid at time t; P t base represents the basic electricity load of textile industry users at time t; P t ESB represents the electric power input to the electric steam boiler at time t; D e_te1 represents the electricity demand per unit time of the textile process; D e_pd2 Indicates the electricity demand per unit time of the printing and dyeing process; D e_ir3 It represents the electricity demand per unit time of the ironing process; the basic electricity load of textile industry users includes factory lighting and ventilation and air conditioning systems; It represents the electric power required by the condenser to supply steam to the mth textile production line at time t; It represents the electric power required by the condenser to supply steam to the nth printing and dyeing production line at time t; It represents the electric power required by the condenser to supply steam to the first ironing process production line at time t.

[0118] Step 5: Collect relevant data of textile industry users, solve the optimization scheduling model of the textile industry, and obtain the electricity-steam scheduling results.

[0119] The textile industry user-related data include the textile industry users' electrical load, thermal load, energy acquisition parameters and input equipment operating parameters; wherein the energy acquisition parameters include the electric power output of distributed photovoltaics, the electricity price of the external power grid, the power of electricity purchased from the external power grid, the natural gas consumption, the lower calorific value of natural gas and the price of natural gas; the input equipment operating parameters include gas boiler operating parameters, electric steam boiler operating parameters, condensing machine operating parameters, steam accumulator operating parameters, textile process operating parameters, printing and dyeing process operating parameters, ironing process operating parameters, basic parameters of the first storage warehouse, and basic parameters of the second storage warehouse.

[0120] The present application also discloses a textile industry power-steam dispatching system taking into account the production process characteristics based on the textile industry power-steam dispatching method taking into account the production process characteristics, including a production full process architecture building module, a data acquisition multi-energy flow coupling equipment model building module, a textile industry user production constraint building module, a textile industry optimization dispatching model building module and a textile industry optimization dispatching model solving module:

[0121] The full-process production architecture building module builds a full-process production architecture for textile industry users based on the energy supply structure and production process flow of textile industry users;

[0122] The energy supply structure for textile industry users describes the relationship between textile production processes and energy supply devices;

[0123] In the production process flow, the order of the production processes is the weaving process, the printing and dyeing process, and the ironing process; a storage warehouse is set between every two adjacent processes, which are recorded as the first storage warehouse and the second storage warehouse.

[0124] The data acquisition multi-energy flow coupling equipment model construction module constructs a multi-energy flow coupling equipment model based on the production full process architecture;

[0125] The multi-energy flow coupling equipment model includes a gas boiler model, an electric steam boiler model, a condensing machine model, and a steam accumulator model.

[0126] The gas boiler model is expressed as follows:

[0127]

[0128] in Represents the heating power of the gas boiler at time t; η GB represents the heat generation efficiency of the gas boiler at time t; V t GB represents the natural gas consumption of the gas boiler at time t; β represents the lower calorific value of natural gas, which is 9.97kW×h / m 3 ; Δt represents the time interval between two sampling points.

[0129] The steam accumulator model is expressed as follows:

[0130]

[0131] in, It represents the steam flow rate input into the steam accumulator at time t; is a 0-1 variable, When , it indicates that steam is input into the steam accumulator, otherwise, it indicates that no steam is input; represents the maximum value of the steam flow rate input to the steam accumulator; m is an integer, and m∈[1,N te1 ],N te1 represents the total number of textile production lines; represents the steam flow rate of the steam accumulator discharged to the mth textile production line at time t; n is an integer, and n∈[1,N pd2 ],N pd2 Indicates the total number of printing and dyeing production lines; represents the steam flow rate discharged from the steam accumulator to the nth printing and dyeing production line at time t; l is an integer, and l∈[1,

[0132] N ir3 ],N ir3 Indicates the total number of ironing process production lines; represents the steam flow rate discharged from the steam accumulator to the first ironing process production line at time t; is a 0-1 variable, When , it means the steam accumulator outputs steam, otherwise it means no steam is output; Indicates the maximum value of steam flow rate output by the steam accumulator; Indicates the remaining capacity of the steam accumulator at time t; Indicates the minimum value of the remaining capacity of the steam accumulator; Indicates the maximum value of the remaining capacity of the steam accumulator; It represents the remaining capacity of the steam accumulator at the initial moment of the optimization cycle; Indicates the remaining capacity of the steam accumulator at the end of the optimization cycle; Indicates the remaining capacity of the steam accumulator at time t-1; h SAcha Indicates the enthalpy of steam input into the steam accumulator;

[0133] represents the steam enthalpy value delivered by the steam accumulator to the mth textile production line at time t, represents the steam enthalpy value delivered by the steam accumulator to the nth printing and dyeing production line at time t, It represents the steam enthalpy value delivered by the steam accumulator to the lth ironing production line at time t.

[0134] The textile industry user production constraint construction module constructs the textile industry user production constraints based on the full production process architecture;

[0135] The production constraints of textile industry users include continuous production line task constraints, production sequence constraints, storage link constraints, and production process temperature constraints;

[0136] The continuous production line task constraints include textile production line task constraints, printing and dyeing production line task constraints, and ironing production line task constraints;

[0137] The task constraint of the textile production line is used to limit the running time of the textile production line and the output of the textile production line at time t;

[0138] The task constraint of the printing and dyeing production line is used to limit the running time of the printing and dyeing production line and the output of the printing and dyeing production line at time t;

[0139] The ironing production line task constraints are used to limit the running time of the ironing production line and the output of the ironing production line at time t.

[0140] The production order constraints are as follows:

[0141]

[0142] Wherein, h represents any time in the planning cycle; T represents the length of the planning cycle; d represents the minimum value of the sum of the production time of the textile process and the storage time of the first storage warehouse; f represents the minimum value of the sum of the production time of the printing and dyeing process and the storage time of the second storage warehouse; is a 0-1 variable, It indicates that the textile production line is running, otherwise it indicates that the textile production line is not running; is a 0-1 variable, It indicates that the printing and dyeing production line is running, otherwise it indicates that the printing and dyeing production line is not running; is a 0-1 variable, Indicates that the ironing production line is running, otherwise it means that the ironing production line is not running; F te1 Indicates the output of each textile production line per unit time; F pd2 Indicates the output of each printing and dyeing production line per unit time; F ir3 Indicates the output of each ironing production line per unit time.

[0143] The storage link constraints include a first storage warehouse constraint and a second storage warehouse constraint;

[0144] The first storage warehouse constraint is used to balance the relationship between the material capacity of the first storage warehouse, the output of the textile production line and the output of the printing and dyeing production line;

[0145] The second storage warehouse constraint is used to balance the relationship between the material capacity of the second storage warehouse, the output of the printing and dyeing production line, and the output of the ironing production line.

[0146] The production process temperature constraints include textile process temperature constraints, printing and dyeing process temperature constraints and ironing process temperature constraints;

[0147] The textile process temperature constraint is used to limit the relationship between the pressure of the textile process at the rated steam temperature, the rated steam temperature required by the textile process, the steam enthalpy corresponding to the rated steam temperature required by the textile process, the steam flow input by the textile process at the rated steam temperature, and the steam energy demand per unit time of the textile process;

[0148] The temperature constraint of the printing and dyeing process is used to limit the pressure of the printing and dyeing process at the rated steam temperature, the rated steam temperature required by the printing and dyeing process, the steam enthalpy corresponding to the rated steam temperature required by the printing and dyeing process, the steam flow input at the rated steam temperature of the printing and dyeing process, and the correlation between the steam energy demand per unit time of the printing and dyeing process;

[0149] The temperature constraint of the ironing process is used to limit the relationship between the pressure of the ironing process at the rated steam temperature, the rated steam temperature required for the ironing process, the steam enthalpy value corresponding to the rated steam temperature required for the ironing process, the steam flow rate input for the ironing process at the rated steam temperature, and the steam energy demand per unit time of the ironing process.

[0150] The textile industry optimization scheduling model construction module sets the textile industry system operation optimization objective function, and constructs the textile industry optimization scheduling model based on the multi-energy flow coupling equipment model, the textile industry user production constraints and the optimization objective function;

[0151] The objective function formula of the textile industry system operation optimization is as follows:

[0152] min(C e +C g +C p +C SA );

[0153] Among them, C e represents the electricity purchase cost within the optimization cycle length; C g represents the gas purchase cost within the optimization cycle length; C p represents the operation and maintenance cost of production equipment within the optimization cycle length; C SA represents the operation and maintenance cost of the steam accumulator within the optimized period length; min(·) means taking the minimum value of the formula in the brackets.

[0154] The textile industry optimization scheduling model also includes multi-energy balance constraints constructed for the optimization objective function; the multi-energy balance constraints include electrical energy balance constraints, thermal energy balance constraints, and steam energy balance constraints.

[0155] The formula for the power balance constraint is as follows:

[0156]

[0157] Among them, P t PV represents the electric power output of distributed photovoltaic at time t; P t grid represents the power purchased from the external power grid at time t; P t base represents the basic electricity load of textile industry users at time t; P t ESB represents the electric power input to the electric steam boiler at time t; D e_te1 represents the electricity demand per unit time of the textile process; D e_pd2 Indicates the electricity demand per unit time of the printing and dyeing process; D e_ir3 It represents the electricity demand per unit time of the ironing process; the basic electricity load of textile industry users includes factory lighting and ventilation and air conditioning systems; It represents the electric power required by the condenser to supply steam to the mth textile production line at time t; It represents the electric power required by the condenser to supply steam to the nth printing and dyeing production line at time t; It represents the electric power required by the condenser to supply steam to the first ironing process production line at time t.

[0158] The textile industry optimization scheduling model solving module collects textile industry user-related data, solves the textile industry optimization scheduling model, and obtains scenario scheduling results.

[0159] The textile industry user-related data include the textile industry users' electrical load, thermal load, energy acquisition parameters and input equipment operating parameters; wherein the energy acquisition parameters include the electric power output of distributed photovoltaics, the electricity price of the external power grid, the power of electricity purchased from the external power grid, the natural gas consumption, the lower calorific value of natural gas and the price of natural gas; the input equipment operating parameters include gas boiler operating parameters, electric steam boiler operating parameters, condensing machine operating parameters, steam accumulator operating parameters, textile process operating parameters, printing and dyeing process operating parameters, ironing process operating parameters, basic parameters of the first storage warehouse, and basic parameters of the second storage warehouse.

[0160] Example 1

[0161] A method of power-steam dispatching in textile industry taking into account production process characteristics

[0162] The power-steam dispatching method for the textile industry taking into account the production process characteristics proposed by the present invention comprises:

[0163] Step 1: Study the energy supply-production synergy characteristics of the textile industry; based on the research content, build a full-process production architecture for textile industry users;

[0164] The energy supply-production synergy characteristics of the textile industry include the system energy supply structure and production process flow.

[0165] 1.1 System energy supply structure

[0166] A person skilled in the art should know that the energy supply structure for textile industry users is a structure that describes the relationship between textile production processes and energy supply devices, and a person skilled in the art can construct it according to actual conditions; wherein the production processes include textile processes, printing and dyeing processes, and ironing processes.

[0167] In order to improve the calculation accuracy, the energy supply structure of textile industry users proposed in the embodiment of the present invention is only a preferred embodiment, and is not an inevitable limitation for implementing the method of power-steam coordinated dispatching of textile industry users taking into account the production process characteristics of the present invention. Figure 2 , including energy input unit, energy conversion unit and energy application unit:

[0168] 1.1.1 Energy input unit

[0169] The energy input unit is connected to distributed photovoltaics, the public power grid and natural gas. Industrial users give priority to using their own distributed photovoltaics. When the distributed photovoltaic power supply is insufficient, industrial users purchase electricity from the external public power grid to meet their own electricity needs. The user's electricity demand includes basic electrical loads such as factory lighting, equipment in the energy conversion unit, and the electrical load required for each production process equipment in the energy application unit; and the hot water demand of industrial users is met by natural gas supplied by the natural gas station.

[0170] 1.1.2 Energy conversion unit

[0171] The energy conversion unit can achieve the coordinated complementarity of multiple energy sources, meet the various energy needs of industrial users, and thus improve the overall energy utilization rate of industrial users, including electric steam boilers, steam accumulators, condensers, and gas boilers. Part of the steam output by the electric steam boiler is provided to the steam needs of various production processes of textile industry users, and the other part is stored in the steam accumulator to realize the charging and discharging of steam. Considering that different production processes have different requirements for steam temperature, the steam output by the electric steam boiler is first cooled by the condenser and then transmitted to each production process. The gas boiler uses natural gas to heat the water temperature to obtain hot water, thereby meeting the basic heat load such as the room temperature of the factory building of industrial users and the hot water needs of each production process.

[0172] 1.1.3 Energy application unit

[0173] The energy application unit is mainly used to meet the electricity, hot water and steam requirements of various production processes of textile industry users. The production processes of textile industry users can be roughly divided into three processes, namely textile process, printing and dyeing process and ironing process. All three processes need to input electricity, hot water and steam of a certain temperature at the same time to start operation. Users adjust the planned production time of each production process according to the electricity, hot water and steam obtained from the energy conversion equipment, thereby maximizing energy utilization and minimizing the cost of industrial users.

[0174] 1.2 Production process flow

[0175] Those skilled in the art should know that the production process flow is a material transfer process between various production processes during the production process of textile industry users, and those skilled in the art can construct it according to actual conditions.

[0176] In order to improve the calculation accuracy, the production process flow proposed in the embodiment of the present invention is only a preferred embodiment, and is not an inevitable limitation for implementing the method of the present invention for coordinating power-steam dispatching of textile industry users taking into account the characteristics of the production process. The production process flow of textile industry users includes a weaving process, a printing and dyeing process, and an ironing process, and a storage warehouse is set between every two adjacent processes, which is recorded as the first storage warehouse and the second storage warehouse. For details, see the attached Figure 3 , including inputting textile raw materials into the textile process to obtain textiles, storing the textiles into a first storage warehouse until they need to be printed and dyed, inputting the textiles into the printing and dyeing process to obtain printed and dyed materials, storing the printed and dyed materials into a second storage warehouse until they need to be ironed and taken out, and inputting the printed and dyed materials into the ironing process to obtain finished clothes.

[0177] The specific three processes are described as follows:

[0178] 1.2.1 Textile Process

[0179] The cotton or other fiber raw materials purchased by textile industry users first undergo a combing and cleaning process to ensure the quality of the raw materials. Subsequently, these raw materials are sent to the spinning machine for stretching and yarn formation, which relies on the mechanical operation driven by electrical energy. At this stage, the type and pretreatment method of the fiber need to be comprehensively considered, and the fiber is moderately humidified by hot water and steam to enhance its plasticity and ductility. The yarn then enters the weaving stage and is converted into cloth through the weaving action of the loom. In this process, electrical energy is also required to drive the operation of the loom, and hot water and steam are used to adjust the fiber structure to improve its softness and ensure that the yarn can be smoothly interwoven into textiles. Finally, the finished textiles are properly stored in a designated storage facility, which is the first storage warehouse in the present invention.

[0180] In view of the continuity and uninterruptedness of the spinning and weaving processes, the present invention uniformly defines these two process flows as "weaving process".

[0181] 1.2.2 Printing and dyeing process

[0182] In the post-processing stage of the textile industry, textiles extracted from the first storage warehouse then enter the printing and dyeing process. This process involves the use of electrical energy to drive the operation of the printing and dyeing machinery to ensure the continuity and stability of the printing and dyeing process. During this process, the use of steam is essential to ensure the adhesion of dyes on textiles, while the application of hot water further improves the fastness of dyeing and the durability of color. After printing and dyeing, the textiles are transferred to the second storage warehouse for safekeeping.

[0183] 1.2.3 Ironing process

[0184] After printing and dyeing, textiles enter the ironing process through the second storage warehouse. This process uses electrically driven ironing machines, which use steam and hot water to flatten the textiles, remove wrinkles, and stabilize the fixing state of the dye. The ironing process is crucial to improving the appearance quality of the product while ensuring the durability of the dyeing effect. After ironing, the textiles will be finally packaged and prepared for distribution.

[0185] Based on the energy supply structure and production process flow of textile industry users, the full production process architecture of textile industry users is constructed. See Appendix Figure 4 The full-process production architecture of textile industry users is a structure that can simultaneously display the energy supply structure and production process flow of textile industry users. It is a combination of the energy supply structure and production process flow of textile industry users.

[0186] Step 2: Based on the full production process architecture, construct a multi-energy flow coupling equipment model.

[0187] Step 2 of the present invention models a multi-energy flow coupling device.

[0188] The multi-energy flow coupling equipment model includes a gas boiler model, an electric steam boiler model, a condensing machine model, and a steam accumulator model.

[0189] 2.1 Gas boiler model

[0190] Gas boilers produce heat energy by consuming natural gas to meet the heat demand of textile industry users. The mathematical model can be expressed as

[0191]

[0192] in, It represents the heat generation power of the gas boiler at time t, and its unit is kW; η GBrepresents the heat generation efficiency of the gas boiler at time t; V t GB Indicates the natural gas consumption of the gas boiler at time t, its unit is m 3 ; β represents the lower calorific value of natural gas, which is 9.97kW×h / m 3 ; Δt represents the time interval between two sampling points.

[0193] 2.2 Electric steam boiler model

[0194] Part of the steam generated by the electric steam boiler consuming electricity is directly delivered to the production process, or the steam is cooled by the condenser and then transmitted to each production process. The other part is stored in the steam accumulator and delivered to each production process during the period of high steam demand. Assuming that the ironing process requires high-temperature steam, the high-temperature steam output by the electric steam boiler can only be directly delivered to the ironing process. The textile and printing and dyeing processes require low and medium temperature steam, which cannot be directly delivered from the electric steam boiler.

[0195]

[0196] Where: It represents the steam energy output by the electric steam boiler at time t, and its unit is kJ; P t ESB It represents the electric power input to the electric steam boiler at time t, in kW; η ESB Indicates the steam production efficiency of the electric steam boiler; It indicates the steam flow rate output by the electric steam boiler at time t, and its unit is kg / h;

[0197] h ESB It indicates the enthalpy of steam output from the electric steam boiler. Its unit is kJ / kg. The enthalpy of steam is related to temperature. Since the outlet steam temperature of the electric steam boiler is constant, which is 200°C, the enthalpy of steam output from the electric steam boiler is a constant value. It represents the steam energy input from the electric steam boiler to the condenser at time t, in kJ; It indicates the steam flow rate of the electric steam boiler input to the condenser at time t, and its unit is kg / h; It represents the steam energy input from the electric steam boiler to the steam accumulator at time t, and its unit is kJ; It represents the steam flow rate of the electric steam boiler input to SA at time t, and its unit is kg / h; N ir3 Indicates the number of ironing process production lines; It represents the steam energy delivered by the electric steam boiler to the first ironing process production line at time t, and its unit is kJ; represents the steam flow rate directly delivered by the electric steam boiler to the l-th ironing process production line at time t, and its unit is kg / h; where l is an integer, and l∈[1, Nir3 ]. SAcha 、h CONcha 、h ESB_ir3 They represent the enthalpy of high-temperature steam input from the electric steam boiler to SA, input to the condenser and directly delivered to the ironing process production line, respectively. The unit is kJ / kg. Since the temperature of the steam output from the electric steam boiler is constant, the temperature of the steam input from the steam accumulator, the condenser and the steam directly delivered to the ironing process production line by the electric steam boiler is also constant. Therefore, the enthalpy of the steam input from the steam accumulator, the condenser and the steam directly delivered to the ironing process production line by the electric steam boiler is also a constant value. t ESB is the input power of the electric steam boiler at time t; is the steam flow rate output by the electric steam boiler at time t, Upper limit of electrical power input for electric steam boilers; It is the upper limit of the steam flow rate output by the electric steam boiler.

[0198] 2.3 Condensing machine model

[0199] Since the steam temperature required for each production process is different, and the steam temperature required for the textile process and printing and dyeing process is lower than the outlet steam temperature of the electric steam boiler, the textile industry users use condensers to cool the steam output from the electric steam boiler and then transport it to each production process. When and only when electricity and steam are input to the condenser at the same time, the condenser can start to run and produce cooled steam. The steam temperature range output from the condenser meets the temperature limits of the three textile production processes.

[0200]

[0201] Where m is an integer and m∈[1,N te1 ],N te1 Represents the total number of textile production lines; n is an integer, and n∈[1,N pd2 ],N pd2 Represents the total number of printing and dyeing production lines; l is an integer, and l∈[1,

[0202] N ir3 ],N ir3 Indicates the total number of ironing lines; It represents the total energy input to the condenser at time t, and its unit is kJ; It represents the steam energy input to the condenser at time t, and its unit is kJ; It represents the electric power required by the condenser to supply steam to the mth textile production line at time t, in kW; It represents the electric power required by the condenser to supply steam to the nth printing and dyeing production line at time t, in kW; P represents the electric power required by the condenser to supply steam to the first ironing process production line at time t, in kW; t CON It represents the total amount of electric power required by the condenser to supply steam to the production lines of textile, printing and dyeing, and ironing processes at time t, in kW; It represents the total steam energy delivered by the condenser to each process and each production line at time t, and its unit is kJ; Indicates the power consumption efficiency of the condensing unit; Indicates the steam efficiency of the condensing mechanism; It represents the steam energy delivered by the condenser to the mth textile production line at time t, in kJ; It represents the steam energy delivered by the condenser to the nth printing and dyeing production line at time t, and its unit is kJ; It represents the steam energy delivered by the condenser to the first ironing production line at time t, and its unit is kJ; It represents the steam flow rate delivered by the condenser to the mth textile production line at time t, and its unit is kg / h; It represents the steam enthalpy delivered by the condenser to the mth textile production line at time t, and its unit is kJ / kg; It represents the steam flow rate delivered by the condenser to the nth printing and dyeing production line at time t, and its unit is kg / h; It represents the steam enthalpy value delivered by the condenser to the nth printing and dyeing production line at time t, and its unit is kJ / kg; It represents the steam flow rate delivered by the condenser to the first ironing production line at time t, and its unit is kg / h; It represents the steam enthalpy value delivered by the condenser to the first ironing production line at time t, and its unit is kJ / kg; Indicates the maximum value of the condenser output steam flow rate, the unit is kg / h;

[0203] The enthalpy of steam is related to the steam temperature, so the enthalpy of the condenser output steam can be expressed as:

[0204]

[0205] in It represents the steam temperature delivered by the condenser to the mth textile production line, in °C. It indicates the steam temperature delivered by the condenser to the nth printing and dyeing production line, in degrees Celsius. It indicates the temperature of steam delivered by the condenser to the first ironing production line, in degrees Celsius. It represents the steam pressure delivered by the condenser to the mth textile production line at time t, and its unit is MPa. It indicates the steam pressure delivered by the condenser to the nth printing and dyeing production line at time t, and its unit is MPa. It represents the steam pressure delivered by the condenser to the first ironing production line at time t, and its unit is MPa. k1, k2, k3, k4, k5, and k6 are all fitting coefficients representing the relationship between steam enthalpy and temperature. The value of k1 is 2.326, the value of k2 is 0.071533, the value of k3 is 13.08426, the value of k4 is 0.1, the value of k5 is 0.808956, and the value of k6 is 1075.181444;

[0206] and The formulas are as follows:

[0207]

[0208] Where: a, b, c represent the exponential parameters of the Antoine equation, which are 9.3876, 3826.36, and 227.68 respectively.

[0209] 2.4 Steam accumulator model

[0210] 2.4.1 Equivalent energy storage model of steam accumulator

[0211] As the peak-valley price difference of electricity price continues to widen, the steam accumulator stores steam in a mixed steam and water space to achieve valley charging and high discharge of steam. Assuming that the steam accumulator can be charged and discharged at the same time, considering that the outlet temperature of the electric steam boiler is constant, the equivalent energy storage model of the steam accumulator can be expressed as:

[0212]

[0213] Where: All are 0-1 variables. When the steam accumulator is charged, otherwise it is not charged. When the steam accumulator releases steam, otherwise it does not release steam; It indicates the steam flow rate of the steam accumulator at time t, and its unit is kg / h. represents the steam flow rate discharged from the steam accumulator to the mth textile production line at time t; It represents the steam flow rate discharged from the steam accumulator to the nth printing and dyeing production line at time t; represents the steam flow rate discharged from the steam accumulator to the first ironing process production line at time t; Indicates the maximum charging and discharging flow rate of the steam accumulator, both in kg / h; They respectively represent the steam enthalpy delivered by the steam accumulator to each process and each production line at time t, both in kJ / kg; It indicates the remaining capacity of the steam accumulator at time t. The capacity of the steam accumulator indicates the amount of heat that can be stored or released. In the present invention, it is measured in kJ, i.e., its unit is kJ. Respectively represent the minimum and maximum values ​​of the remaining capacity of the steam accumulator; They represent the remaining capacity of the steam accumulator at the initial moment and at the end of the optimization period, respectively.

[0214] 2.4.2 Calculation of steam enthalpy output from steam accumulator

[0215]

[0216] in, It represents the steam temperature delivered by the steam accumulator to the mth textile production line at time t, in °C. It represents the steam temperature delivered by the steam accumulator to the nth printing and dyeing production line at time t, in degrees Celsius. It represents the temperature of steam delivered by the steam accumulator to the lth ironing production line at time t, in degrees Celsius. It represents the steam pressure delivered by the steam accumulator to the mth textile production line at time t, and its unit is MPa. It indicates the steam pressure delivered by the steam accumulator to the nth printing and dyeing production line at time t, and its unit is MPa. It represents the steam pressure delivered by the steam accumulator to the lth ironing production line at time t, and its unit is MPa.

[0217] Calculate according to the following formulas:

[0218]

[0219] 2.4.3 Balance between steam energy and steam consumption of each production line

[0220]

[0221] Among them, D s_te1 Indicates the steam energy demand per unit time of the textile production process; D s_pd2 Indicates the steam energy demand per unit time of the printing and dyeing production process; D s_ir3 It indicates the steam energy demand per unit time of the ironing production process; is a 0-1 variable, It indicates that the textile production line is running, otherwise it indicates that the textile production line is not running; is a 0-1 variable, It indicates that the printing and dyeing production line is running, otherwise it indicates that the printing and dyeing production line is not running; is a 0-1 variable, It means the ironing production line is running, otherwise it means the ironing production line is not running.

[0222] Step 3: Based on the full production process architecture, the production constraints of textile industry users are constructed for the multi-energy flow coupling equipment model; the production constraints of textile industry users include continuous production line task constraints, production sequence constraints, storage link constraints, and production process temperature constraints.

[0223] Step 3 of the present invention is directed to the production process flow model of textile industry users.

[0224] 3.1 Continuous production line task constraints

[0225] The task constraints of continuous production lines include the task constraints of textile production lines, the task constraints of printing and dyeing production lines, and the task constraints of ironing production lines. Each task constraint includes start-stop constraints and task quantity constraints.

[0226] The task constraints of the textile production line are:

[0227]

[0228] in, is a 0-1 variable, When , it indicates that the textile production line is started, otherwise the textile production line is not started; is a 0-1 variable, When indicates that the textile production line is shut down, otherwise the textile production line is not shut down; h indicates any time in the planning cycle; T indicates the length of the planning cycle; Indicates the minimum start-up time of a textile production line; Indicates the maximum start-up time of the textile production line; Indicates the minimum downtime of the textile production line; F te1 It indicates the output of each textile production line per unit time; It represents the total output that all textile production lines need to complete within one cycle.

[0229] The task constraints of the printing and dyeing production line are:

[0230]

[0231] in, is a 0-1 variable, When it is on, it indicates that the printing and dyeing production line is started, otherwise the printing and dyeing production line is not started; is a 0-1 variable, When indicates that the printing and dyeing production line is shut down, otherwise the printing and dyeing production line is not shut down; h indicates any time in the planning cycle; T indicates the length of the planning cycle; Indicates the minimum start-up time of the printing and dyeing production line; Indicates the maximum start-up time of the printing and dyeing production line; Indicates the minimum downtime of the printing and dyeing production line; Fpd2 Indicates the output of each printing and dyeing production line per unit time; It indicates the total output that all printing and dyeing production lines need to complete within one cycle.

[0232] The task constraints of the ironing production line are:

[0233]

[0234] in, is a 0-1 variable, When , it indicates that the ironing production line is started, otherwise the ironing production line is not started; is a 0-1 variable, When indicates that the ironing production line is shut down, otherwise the ironing production line is not shut down; h indicates any time in the planning cycle; T indicates the length of the planning cycle; Indicates the minimum start-up time of the ironing production line; Indicates the maximum start-up time of the ironing production line; Indicates the minimum downtime of the ironing production line; F ir3 It indicates the output of each ironing production line per unit time; Indicates the total output that all ironing production lines need to complete within one cycle.

[0235] 3.2 Production Order Constraints

[0236] Materials must strictly follow the preset production sequence, that is, textile process > printing and dyeing process > ironing process. Materials need to be transferred from the upstream production line to the downstream production line through the storage warehouse, so the waiting time of the two storage warehouses is taken into account.

[0237]

[0238] Where: c represents the minimum value of the sum of the production time of the textile process and the storage time of the first storage warehouse, d represents the minimum value of the sum of the production time of the printing and dyeing process and the storage time of the second storage warehouse; is a 0-1 variable, representing the operating variables of each process and each production line at time t. It is 1 when the process is running and 0 when it is not running. te1 、F pd2 、F ir3 Respectively represents the output of each textile, printing and dyeing, and ironing production line per unit time.

[0239] 3.3 Storage Constraints

[0240] The storage warehouse is a buffer link between two processes. Since the changes in material quality caused by the printing and dyeing and ironing processes can be ignored, that is, the input material quality of the printing and dyeing process is approximately equal to the output material quality, and the input material quality of the ironing process is approximately equal to the output material quality, the material balance constraints are set as follows:

[0241] The storage link constraints include a first storage warehouse constraint and a second storage warehouse constraint.

[0242] The first storage warehouse constraint is:

[0243]

[0244] in, represents the material capacity of the first storage warehouse between the textile and printing and dyeing processes at time t; represents the material capacity of the first storage warehouse between the textile and printing and dyeing processes at time t-1; Indicates the maximum material capacity of the first storage warehouse; Indicates the material capacity of the first storage warehouse at the beginning of the planning period, It indicates the material capacity of the first storage warehouse at the end of the planning period; the material capacity is the number of textile finished products.

[0245] The second storage warehouse constraints are:

[0246]

[0247] in, represents the material capacity of the second storage warehouse between the printing and dyeing process and the ironing process at time t; represents the material capacity of the second storage warehouse between the printing and dyeing process and the ironing process at time t-1;

[0248] Indicates the maximum material capacity of the second storage warehouse; Indicates the material capacity of the second storage warehouse at the initial moment of the planning period; It indicates the material capacity of the second storage warehouse at the end of the planning period; the material capacity is the number of textile finished products.

[0249] 3.4 Temperature constraints in production processes

[0250] 3.4.1 Steam energy demand per unit time for each production process

[0251] The steam used in each production process of textile industry users has a rated steam demand temperature. Based on the rated steam temperature demand of each production process, the enthalpy value corresponding to the steam temperature required for each production process and the steam energy demand per unit time of each production process can be calculated.

[0252] The steam energy demand per unit time of the textile process is constrained as follows:

[0253]

[0254] Among them, σ s_te1 It indicates the pressure of the textile process at the rated steam temperature, and its unit is MPa; T s_te1 Indicates the rated steam temperature required for the textile process, in °C; h s_te1 It indicates the steam enthalpy corresponding to the rated steam temperature required for the textile process, and its unit is kJ / kg; M s_te1 It indicates the steam flow rate input into the textile process at the rated steam temperature, and its unit is kg / h; D s_te1 It represents the steam energy demand per unit time of the textile process, and its unit is kJ; k1, k2, k3, k4, k5, and k6 are all fitting numerical coefficients representing the relationship between steam enthalpy and temperature, and the value of k1 is 2.326, the value of k2 is 0.071533, the value of k3 is 13.08426, the value of k4 is 0.1, the value of k5 is 0.808956, and the value of k6 is 1075.181444;

[0255] Those skilled in the art should know that the pressure at the rated steam temperature refers to the pressure of saturated steam; specifically, the pressure of saturated steam refers to the pressure of steam when it coexists with its liquid water, that is, in a saturated state, that is, the equilibrium pressure of liquid water and steam at this specific temperature.

[0256] The steam energy demand per unit time of the printing and dyeing process is constrained as follows:

[0257]

[0258] Among them, σ s_pd2 Indicates the pressure of the printing and dyeing process at the rated steam temperature; T s_pd2 Indicates the rated steam temperature required for the printing and dyeing process; h s_pd2 Indicates the steam enthalpy corresponding to the rated steam temperature required for the printing and dyeing process; M s_pd2 Indicates the steam flow rate input in the printing and dyeing process at the rated steam temperature; D s_pd2 Indicates the steam energy demand per unit time of the printing and dyeing process;

[0259] The steam energy demand per unit time of the ironing process is constrained as follows:

[0260]

[0261] Among them, σ s_ir3 Indicates the pressure of the ironing process at the rated steam temperature; T s_ir3 Indicates the rated steam temperature required for the ironing process; hs_ir3 Indicates the steam enthalpy corresponding to the rated steam temperature required for the ironing process; M s_ir3 Indicates the steam flow rate input during the ironing process at the rated steam temperature; D s_ir3 Indicates the steam energy demand per unit time of the ironing process;

[0262] 3.4.2 Temperature boundaries of steam in each process

[0263] It is known that each production process can operate within the rated steam demand temperature range of ±5%. The steam for each production process is provided by electric steam boilers, condensers, and steam accumulators. The electric steam boiler directly supplies the steam of the ironing process at a constant temperature, while the condenser and steam accumulator can directly supply the three processes of textile, printing and dyeing, and ironing. Therefore, its outlet steam temperature needs to be within the rated steam temperature range of each production process. The temperature boundary model of the steam delivered to each process by the condenser and steam accumulator is as follows:

[0264] The temperature boundary model of the steam delivered by the condenser to each process is as follows:

[0265]

[0266] Where: T s_te1 , T s_pd2 , T s_ir3 Indicates the rated steam temperature of each production process, It indicates the steam temperature delivered by the condenser to each production process and each production line at time t, in degrees Celsius.

[0267] The temperature boundary of the steam delivered to each process by the steam accumulator is modeled as follows:

[0268]

[0269] in, They respectively represent the steam temperature delivered by the steam accumulator to each process and each production line at time t, both in ℃.

[0270] Step 4: Set the optimization goal of textile industry system operation, consider multi-energy balance constraints, and build the optimization scheduling model of textile industry;

[0271] Step 4 of the present invention solves the optimization scheduling model.

[0272] 4.1 Objective Function

[0273] In order to reasonably arrange the scheduling plan of factory equipment and the output plan of each energy conversion equipment within the planning period on the basis of ensuring the scheduling constraints of each production process, an optimization objective function is set, which is expressed as:

[0274] min(Ce +C g +C p +C SA );

[0275] Where: C e Represents the cost of purchasing electricity; C g Represents the gas purchase cost; C p represents the operation and maintenance cost of production equipment; C SA represents the operation and maintenance cost of the steam accumulator; min(·) means taking the minimum value of the formula in the brackets.

[0276] 4.1.1 Electricity purchasing cost

[0277] The electricity purchase cost is mainly the cost of textile industry users purchasing electricity from the power grid. Users give priority to using their own distributed photovoltaics. When the power is insufficient, they purchase electricity from the external power grid. Electricity is used to meet the electricity needs of various production process equipment on the one hand, and to meet the steam needs of various production process equipment on the other hand by producing steam through electric steam boilers. The specific expression is as follows:

[0278]

[0279] Where: T1 represents the length of the optimization cycle; It represents the electricity price of the external power grid at time t, and its unit is yuan / kWh; It represents the power purchased from the external power grid at time t, and its unit is kW.

[0280] Those skilled in the art should know that the two concepts of optimization cycle length and planning cycle length are usually related, but not exactly the same. The optimization cycle length refers to the time period used to perform optimization calculations in the optimization model. This is the basic unit of model calculation and determines how the model analyzes and optimizes time series. The planning cycle length usually refers to the time period based on which plans are made in production or scheduling. This is the time range of the actual plan.

[0281] 4.1.2 Gas purchase cost

[0282] Textile industry users use gas boilers to meet the heat requirements of various production process equipment. The natural gas cost is as follows:

[0283]

[0284] Where: gas Indicates the price of natural gas, yuan / m 3 ; V t GB represents the gas purchase volume of the user at time t, that is, the natural gas consumption of the gas boiler at time t, m 3 .

[0285] 4.1.3 Production equipment operation and maintenance costs

[0286] Considering that although the textile production line is a fully automated production line, a small number of personnel are still required to check and monitor the production line during start-up and shutdown and operation, the operation and maintenance costs of the production line for each production process, including the textile process, printing and dyeing process, and ironing process.

[0287]

[0288] Where: C te1,on , C pd2,on , C ir3,on They represent the operation and maintenance cost coefficients of the production lines of textile, printing and dyeing, and ironing processes, respectively. The textile process is 0.8 yuan / hour, the printing and dyeing process is 0.5 yuan / hour, and the ironing process is 0.5 yuan / hour.

[0289] 4.1.4 Steam accumulator operation and maintenance costs

[0290] The operation and maintenance cost of the steam accumulator is related to the energy of charging and discharging steam in the steam accumulator, which can be expressed as:

[0291]

[0292] Where: C SA,on It represents the steam accumulator operation and maintenance cost coefficient, 0.06 yuan / kWh.

[0293] 4.2 Multi-energy balance constraints

[0294] For optimized scheduling of textile industry users, it is necessary to dynamically couple the multi-energy flow network with the production process plan. On the basis of ensuring the total amount of tasks, the energy consumption habits of electricity, hot water, and steam demand in each production process should be comprehensively considered, and the scheduling plan should be flexibly adjusted to achieve coordinated work with the power grid and reduce the burden on the power grid.

[0295] The multi-energy balance constraints include electrical energy balance constraints, thermal energy balance constraints, and steam energy balance constraints.

[0296] 4.2.1 Power balance constraints

[0297] Textile industry users give priority to using distributed photovoltaics. When distributed photovoltaic power supply is insufficient, they purchase electricity from the external power grid. In addition to the basic power load and the power demand of each production process production line, electric steam boilers and compressors also need to consume electricity. The power balance constraints are as follows:

[0298]

[0299] Where: P t PV represents the electric power of distributed photovoltaic at time t, kW; P t baserepresents the basic electricity load of textile industry users at time t, in kW; D e_te1 , D e_pd2 , D e_ir3 Respectively represent the electricity demand per unit time of each production process, both in kW; P t ESB It represents the electric power input to the electric steam boiler at time t; It represents the electric power required by the condenser to supply steam to the mth textile production line at time t; It represents the electric power required by the condenser to supply steam to the nth printing and dyeing production line at time t; It represents the electric power required by the condenser to supply steam to the first ironing process production line at time t. The electric demand is the required amount of electricity. The basic electric load of textile industry users includes factory lighting and ventilation and air conditioning systems.

[0300] 4.2.2 Thermal energy balance constraints

[0301] In addition to meeting the basic heat load, the heat energy produced by gas boilers must also meet the production heat load of fixed dyes and other equipment required during the operation of each process production line. The heat balance constraints are as follows:

[0302]

[0303] in, represents the heating power of the gas boiler at time t, represents the basic heat load at time t, in kW; D h_te1 It indicates the heat energy demand per unit time of the textile process, and its unit is kW, D h_pd2 Indicates the thermal energy demand per unit time of the printing and dyeing process, D h_ir3 It represents the heat energy demand per unit time of the ironing process; the heat load is the total amount of heat taken by the equipment requiring heat energy from the heating equipment per unit, and its unit is kW; the basic heat load includes space heating and hot water for employees' daily life.

[0304] 4.2.3 Steam energy balance constraints

[0305] The present invention proposes to use an electric steam boiler to prepare steam, and the electric steam boiler, condenser, and steam accumulator deliver steam within a specific temperature range to each production process. The steam energy balance constraints are as follows:

[0306]

[0307] Where: D s_te1 , D s_pd2 , D s_ir3 They represent the steam demand per unit time of each production process, and the unit is kJ.

[0308] Step 5: Collect relevant data of textile industry users on a typical day, solve the textile industry optimization scheduling model, and obtain the power-steam scheduling results.

[0309] The typical day is established based on seasonal characteristics. Different seasons have different impacts on the load. The typical day is used to represent the load conditions in different seasons. By selecting a typical day, the impact of these seasonal characteristics on the load can be better reflected in the scheduling.

[0310] The textile industry user-related data include the textile industry user's electrical load, thermal load, energy acquisition parameters and input equipment operating parameters; wherein the energy acquisition parameters include the electrical power output of distributed photovoltaics, the electricity price of the external power grid, the power of electricity purchased from the external power grid, the natural gas consumption, the lower calorific value of natural gas and the price of natural gas; the input equipment operating parameters include the gas boiler operating parameters, the electric steam boiler operating parameters, the condenser operating parameters, the steam accumulator operating parameters, the textile process operating parameters, the printing and dyeing process operating parameters, the ironing process operating parameters, the basic parameters of the first storage warehouse, and the basic parameters of the second storage warehouse. The basic parameters of the first storage warehouse include the maximum storage time of the first storage warehouse, the minimum storage time of the first storage warehouse, and the material capacity of the first storage warehouse; the basic parameters of the second storage warehouse include the maximum storage time of the second storage warehouse, the minimum storage time of the second storage warehouse, and the material capacity of the second storage warehouse.

[0311] The operating parameters of electric steam boilers include the heating efficiency and maximum steam flow of electric steam boilers; the operating parameters of condensers include the power consumption efficiency, heating efficiency and maximum power consumption of condensers; the operating parameters of gas boilers include heating efficiency and maximum heating power.

[0312] Preferably, solving the optimization scheduling model for the textile industry can be implemented by using mathematical programming methods, or the commercial solver BARON can be called to solve the above model in the GAMS environment, and the solution result can be output, that is, the electricity-steam scheduling result.

[0313] Those skilled in the art should know that solving the model with mathematical programming methods mainly relies on the basic principles of nonlinear optimization, including defining the objective function and constraints, and solving the problem using techniques such as branch and bound method, tangent plane method and local optimization. Specifically, the branch and bound method effectively searches for feasible solutions by constructing a solution space tree, while the tangent plane method simplifies the problem by linearizing nonlinear constraints. In addition, heuristic and meta-heuristic algorithms such as genetic algorithms and simulated annealing are used to explore the solution space, especially when facing complex nonlinear or non-smooth objective functions.

[0314] Example 2

[0315] A method of power-steam dispatching in textile industry taking into account production process characteristics

[0316] Reference Figure 1-7 , which is an embodiment of the present invention, provides a power-steam dispatching method for the textile industry taking into account the characteristics of the production process. In order to verify the beneficial effects of the present invention, a scientific demonstration is carried out through comparative experiments. At the same time, the power-steam dispatching results, the effectiveness of the dispatching strategy and the impact of the task volume on the demand response obtained by solving the optimal dispatching model of the textile industry of the present invention are analyzed. The task volume is the amount of finished clothes required to be produced.

[0317] Select the data of Jiangsu Changzhou Hongrui Changtai Textile Factory. The volume of the textile industry steam accumulator is 50

[0318] m 3 The steam temperature requirement of each production process is between 130-200℃, the steam temperature at the outlet of the electric steam boiler is 200℃, that is, the steam temperature charged into the steam accumulator is 200℃, and the pressure range is 0.6 to 1.6Mpa. The steam accumulator is charged and discharged at a constant mass flow rate.

[0319] In order to verify the effectiveness of the scheduling strategy of the present invention, three scenarios are set for comparative analysis. The scenarios are as follows:

[0320] S1: No steam accumulator is set, the production cycle is uncontrollable, and the daily planned production cycle is fixed between 08:00-17:00;

[0321] S2: No steam accumulator is set, the production cycle is controllable, and the daily planned production cycle is not fixed, between 01:00-24:00;

[0322] S3: Set up a steam accumulator, the production cycle is controllable, and the daily planned production cycle is not fixed, between 01:00-24:00.

[0323] Wherein S3 is the scheduling strategy of the present invention.

[0324] The electricity purchase cost and daily operating cost of industrial users under different scenarios are shown in Table 1.

[0325] Table 1 Comparison of daily operating costs of industrial users under different scenarios

[0326]

[0327] Considering that the heat energy of industrial users is completely provided by gas boilers, and the price of natural gas is constant, the gas purchase cost has no effect on the comparison of the daily operating costs of industrial users in the three scenarios. Therefore, the daily operating costs of industrial users in the three scenarios basically depend on the electricity purchase costs of industrial users. As can be seen from Table 1, the daily operating cost in the S2 scenario is reduced by about 50.37% compared with S1. This is mainly due to the fact that the planned production cycle in the S1 scenario is fixed, the production equipment works in the high electricity price period, and the schedulable cycle of each production process of industrial users is too short, resulting in the user's response rate to change its own production plan based on the electricity price. Therefore, the daily operating cost of industrial users is high; while in the S2 scenario, the planned production cycle of industrial users is not fixed, and their own production plans can be changed according to the changes in electricity prices. The production process is put into production during the valley period, thereby reducing the daily operating cost. The daily operating cost in the S3 scenario is reduced by about 3.90% compared with S2, mainly because the S3 scenario is equipped with a steam accumulator. Industrial users can purchase electricity during the off-peak period and use the steam accumulator to store steam, and release steam through the steam accumulator during the peak period, making full use of the time-shifting effect of the steam accumulator to change the planned production time of the production equipment, thereby further reducing the daily operating cost of industrial users. It can be explained that the multi-energy optimization scheduling strategy for textile industrial users proposed in the present invention that takes into account process temperature and steam equivalent energy storage can effectively reduce the daily operating cost of textile industrial users and meet the production tasks of textile industrial users.

[0328] The purchased power of industrial users and the external grid electricity price in three scenarios are as follows Figure 5As shown in the figure, for the S1 scenario, the production equipment is not put into operation during the periods of 01:00-07:00 and 18:00-24:00. The purchased power during these periods is used to meet the basic power load of industrial users. During the working period of 8:00-17:00, industrial users purchase a large amount of electricity and steam from the external power grid during the relatively low electricity prices of 9:00-10:00 and 16:00 to start the production equipment to reduce the daily operation cost. However, due to the total production task constraint, industrial users also need to purchase electricity from the power grid during the peak period of 11:00-15:00 to meet the production task volume. For the S2 scenario, the production equipment can work at all times, and industrial users purchase a large amount of electricity during the valley period of 1:00-7:00 for production. However, since the storage warehouse 2 reached its upper limit at 7:00, some production equipment for the printing and dyeing process and the ironing process were put into production from 8:00 to 16:00, and electricity was purchased during the remaining period to meet the basic electricity load of industrial users; for the S3 scenario, the amount of electricity purchased in the valley period from 1:00 to 7:00 in the S3 scenario was higher than that in the S2 scenario for large-scale production. This was because the number of production lines in the valley period from 1:00 to 7:00 in the S3 scenario increased, and at the same time, the amount of electricity purchased in the S3 scenario from 10:00 to 15:00 was lower than that in the S2 scenario. This was because the steam accumulator consumed distributed photovoltaic power for steam charging at 8:00 and 11:00, and the steam demand from 10:00 to 15:00 was basically provided by the steam discharge from the steam accumulator, rather than by the electric steam boiler.

[0329] The operation of the steam accumulator in the S3 scenario is as follows Figure 6 As shown. The steam accumulator is charged and discharged mainly in three periods. During the valley period at 01:00 in the morning, the steam accumulator is in a steam-charging state, achieving the effect of valley charging; during the off-peak periods at 8:00 and 11:00, the electric steam boiler consumes distributed photovoltaics to produce steam and charges it into the steam accumulator, promoting the consumption of new energy; at the end of the optimization scheduling cycle, during the valley period at 24:00, the electric steam boiler purchases electricity from the power grid to produce steam and charges it into the steam accumulator, so that the capacity of the steam accumulator returns to the initial time. The steam accumulator discharges steam mainly during the off-peak periods of 9:00-10:00 and 12:00-15:00. It can be seen that the configuration of steam accumulators by users in the textile industry can reduce daily operating costs by using valley charging and high discharge, and promote the consumption of new energy.

[0330] The behavior of textile industry users changing their production plans due to changes in electricity prices is called demand response. Different task volumes will affect the spare time for industrial users to reasonably plan production. In order to analyze the sensitivity of industrial users' demand response, this summary sets 5 different task volumes based on the S3 scenario, and obtains the changes in industrial users' demand response capacity with different task volume ratios, such as Figure 7 As shown. Figure 7It can be seen that when the production task volume of textile industry users is within a certain range, the production plan of production equipment can be flexibly changed, and most of the task volume is concentrated in the valley period of power grid electricity price. When the task volume increases, the idle time that can be arranged in the production plan decreases. In order to complete the total task volume, various production equipments are also put into operation during the peak period, thereby reducing the capacity of industrial users to respond to electricity prices during the valley period. Figure 7 It can be seen that when the task volume increases by 40%, the production equipment also needs to be put into production during the normal period when the electricity price is relatively high, and as the task volume increases, the response capacity continues to increase, resulting in increased costs; when the task volume increases by 80%, the demand-side response capacity also has a small peak during the peak period. Therefore, when industrial users formulate production plans, they need to consider the production task volume while controlling the production idle elastic time within a certain range in order to effectively respond to the time-of-use electricity price.

[0331] The present disclosure may be a system, a method and / or a computer program product. The computer program product may include a computer-readable storage medium carrying computer-readable program instructions for causing a processor to implement various aspects of the present disclosure.

[0332] A computer-readable storage medium may be a tangible device that can hold and store instructions used by an instruction execution device. A computer-readable storage medium may be, for example, but not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples of computer-readable storage media (a non-exhaustive list) include: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a static random access memory (SRAM), a portable compact disk read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanical encoding device, such as a punch card or a raised structure in a groove on which instructions are stored, and any suitable combination of the foregoing. As used herein, a computer-readable storage medium is not to be interpreted as a transient signal per se, such as a radio wave or other freely propagating electromagnetic wave, an electromagnetic wave propagating through a waveguide or other transmission medium (e.g., a light pulse through a fiber optic cable), or an electrical signal transmitted through a wire.

[0333] The computer-readable program instructions described herein can be downloaded from a computer-readable storage medium to each computing / processing device, or downloaded to an external computer or external storage device via a network, such as the Internet, a local area network, a wide area network, and / or a wireless network. The network can include copper transmission cables, optical fiber transmissions, wireless transmissions, routers, firewalls, switches, gateway computers, and / or edge servers. The network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in the computer-readable storage medium in each computing / processing device.

[0334] The computer program instructions for performing the operation of the present disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages, such as Smalltalk, C++, etc., and conventional procedural programming languages, such as "C" language or similar programming languages. Computer-readable program instructions may be executed completely on a user's computer, partially on a user's computer, as an independent software package, partially on a user's computer, partially on a remote computer, or completely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., using an Internet service provider to connect via the Internet). In some embodiments, an electronic circuit, such as a programmable logic circuit, a field programmable gate array (FPGA), or a programmable logic array (PLA), may be customized by utilizing the state information of the computer-readable program instructions, and the electronic circuit may execute the computer-readable program instructions, thereby realizing various aspects of the present disclosure.

[0335] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents, and any modifications or equivalent replacements that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for dispatching electricity and steam in the textile industry taking into account the characteristics of the production process, characterized in that: include: Step 1: Based on the energy supply structure and production process flow of textile industry users, build the full production process architecture of textile industry users; Step 2: Based on the full production process architecture, construct a multi-energy flow coupling equipment model; Step 3: Based on the full production process architecture, construct the production constraints of textile industry users; Step 4: Set the optimization objective function of the textile industry system operation, and build the optimization scheduling model of the textile industry based on the multi-energy flow coupling equipment model, the production constraints of textile industry users and the optimization objective function; Step 5: Collect relevant data of textile industry users, solve the optimization scheduling model of the textile industry, and obtain the electricity-steam scheduling results.

2. The method for dispatching electricity and steam for the textile industry taking into account the characteristics of the production process according to claim 1, characterized in that: In step 1, the energy supply structure of textile industry users describes the relationship between textile production processes and energy supply devices; In the production process flow, the order of the production processes is the weaving process, the printing and dyeing process, and the ironing process; a storage warehouse is set between every two adjacent processes, which are recorded as the first storage warehouse and the second storage warehouse.

3. The method for dispatching electricity and steam for the textile industry taking into account the characteristics of the production process according to claim 1, characterized in that: In step 2, the multi-energy flow coupling equipment model includes a gas boiler model, an electric steam boiler model, a condensing machine model, and a steam accumulator model.

4. The method for dispatching electricity and steam for the textile industry taking into account the characteristics of the production process according to claim 3, characterized in that: The gas boiler model is expressed as follows: in Represents the heating power of the gas boiler at time t; η GB represents the heat generation efficiency of the gas boiler at time t; V t GB represents the natural gas consumption of the gas boiler at time t; β represents the lower calorific value of natural gas, which is 9.97kW×h / m 3 ; Δt represents the time interval between two sampling points.

5. The method for dispatching electricity and steam for the textile industry taking into account the characteristics of the production process according to claim 3, characterized in that: The steam accumulator model is expressed as follows: in, It represents the steam flow rate input into the steam accumulator at time t; is a 0-1 variable, When , it indicates that steam is input into the steam accumulator, otherwise, it indicates that no steam is input; represents the maximum value of the steam flow rate input to the steam accumulator; m is an integer, and m∈[1,N te1 ],N te1 represents the total number of textile production lines; represents the steam flow rate of the steam accumulator discharged to the mth textile production line at time t; n is an integer, and n∈[1,N pd2 ],N pd2 Indicates the total number of printing and dyeing production lines; represents the steam flow rate of the steam accumulator discharged to the nth printing and dyeing production line at time t; l is an integer, and l∈[1, N ir3 ],N ir3 Indicates the total number of ironing process production lines; represents the steam flow rate discharged from the steam accumulator to the first ironing process production line at time t; is a 0-1 variable, When , it means the steam accumulator outputs steam, otherwise it means no steam is output; Indicates the maximum value of steam flow rate output by the steam accumulator; Indicates the remaining capacity of the steam accumulator at time t; Indicates the minimum value of the remaining capacity of the steam accumulator; Indicates the maximum value of the remaining capacity of the steam accumulator; It represents the remaining capacity of the steam accumulator at the initial moment of the optimization cycle; Indicates the remaining capacity of the steam accumulator at the end of the optimization cycle; Indicates the remaining capacity of the steam accumulator at time t-1; h SAcha Indicates the enthalpy of steam input into the steam accumulator; represents the steam enthalpy value delivered by the steam accumulator to the mth textile production line at time t, represents the steam enthalpy value delivered by the steam accumulator to the nth printing and dyeing production line at time t, It represents the steam enthalpy value delivered by the steam accumulator to the lth ironing production line at time t.

6. The method for dispatching electricity and steam for the textile industry taking into account the characteristics of the production process according to claim 1, characterized in that: In step 3, the production constraints of textile industry users include continuous production line task constraints, production sequence constraints, storage link constraints, and production process temperature constraints.

7. The method for dispatching electricity and steam for the textile industry taking into account the characteristics of the production process according to claim 6, characterized in that: The continuous production line task constraints include textile production line task constraints, printing and dyeing production line task constraints, and ironing production line task constraints; The task constraint of the textile production line is used to limit the running time of the textile production line and the output of the textile production line at time t; The task constraint of the printing and dyeing production line is used to limit the running time of the printing and dyeing production line and the output of the printing and dyeing production line at time t; The ironing production line task constraints are used to limit the running time of the ironing production line and the output of the ironing production line at time t.

8. The method for dispatching electricity and steam for the textile industry taking into account the characteristics of the production process according to claim 6, characterized in that: The production order constraints are as follows: Wherein, h represents any time in the planning cycle; T represents the length of the planning cycle; d represents the minimum value of the sum of the production time of the textile process and the storage time of the first storage warehouse; f represents the minimum value of the sum of the production time of the printing and dyeing process and the storage time of the second storage warehouse; is a 0-1 variable, It indicates that the textile production line is running, otherwise it indicates that the textile production line is not running; is a 0-1 variable, It indicates that the printing and dyeing production line is running, otherwise it indicates that the printing and dyeing production line is not running; is a 0-1 variable, Indicates that the ironing production line is running, otherwise it means that the ironing production line is not running; F te1 Indicates the output of each textile production line per unit time; F pd2 Indicates the output of each printing and dyeing production line per unit time; F ir3 Indicates the output of each ironing production line per unit time.

9. The method for dispatching electricity and steam for the textile industry taking into account the characteristics of the production process according to claim 6, characterized in that: The storage link constraints include a first storage warehouse constraint and a second storage warehouse constraint; The first storage warehouse constraint is used to balance the relationship between the material capacity of the first storage warehouse, the output of the textile production line and the output of the printing and dyeing production line; The second storage warehouse constraint is used to balance the relationship between the material capacity of the second storage warehouse, the output of the printing and dyeing production line, and the output of the ironing production line.

10. The method for dispatching electricity and steam for the textile industry taking into account the characteristics of the production process according to claim 6, characterized in that: The production process temperature constraints include textile process temperature constraints, printing and dyeing process temperature constraints and ironing process temperature constraints; The textile process temperature constraint is used to limit the relationship between the pressure of the textile process at the rated steam temperature, the rated steam temperature required by the textile process, the steam enthalpy corresponding to the rated steam temperature required by the textile process, the steam flow input by the textile process at the rated steam temperature, and the steam energy demand per unit time of the textile process; The temperature constraint of the printing and dyeing process is used to limit the pressure of the printing and dyeing process at the rated steam temperature, the rated steam temperature required by the printing and dyeing process, the steam enthalpy corresponding to the rated steam temperature required by the printing and dyeing process, the steam flow input at the rated steam temperature of the printing and dyeing process, and the correlation between the steam energy demand per unit time of the printing and dyeing process; The temperature constraint of the ironing process is used to limit the relationship between the pressure of the ironing process at the rated steam temperature, the rated steam temperature required for the ironing process, the steam enthalpy value corresponding to the rated steam temperature required for the ironing process, the steam flow rate input for the ironing process at the rated steam temperature, and the steam energy demand per unit time of the ironing process.

11. The method for dispatching electricity and steam for the textile industry taking into account the characteristics of the production process according to claim 1, characterized in that: In step 4, the textile industry system operation optimization objective function formula is as follows: min(C e +C g +C p +C SA ); Among them, C e represents the electricity purchase cost within the optimization cycle length; C g represents the gas purchase cost within the optimization cycle length; C p represents the operation and maintenance cost of production equipment within the optimization cycle length; C SA represents the operation and maintenance cost of the steam accumulator within the optimized period length; min(·) means taking the minimum value of the formula in the brackets.

12. The method for dispatching electricity and steam for the textile industry taking into account the characteristics of the production process according to claim 1, characterized in that: In step 4, the textile industry optimization scheduling model also includes multi-energy balance constraints constructed for the optimization objective function; the multi-energy balance constraints include electrical energy balance constraints, thermal energy balance constraints, and steam energy balance constraints.

13. The method for dispatching electricity and steam for the textile industry taking into account the characteristics of the production process according to claim 12, characterized in that: The formula of the power balance constraint is as follows: Among them, P t PV represents the electric power output of distributed photovoltaic at time t; P t grid represents the power purchased from the external power grid at time t; P t base represents the basic electricity load of textile industry users at time t; P t ESB represents the electric power input to the electric steam boiler at time t; D e _te1 represents the electricity demand per unit time of the textile process; D e_pd2 Indicates the electricity demand per unit time of the printing and dyeing process; D e_ir3 It represents the electricity demand per unit time of the ironing process; the basic electricity load of textile industry users includes factory lighting and ventilation and air conditioning systems; It represents the electric power required by the condenser to supply steam to the mth textile production line at time t; It represents the electric power required by the condenser to supply steam to the nth printing and dyeing production line at time t; It represents the electric power required by the condenser to supply steam to the first ironing process production line at time t.

14. The method for dispatching electricity and steam for the textile industry taking into account the characteristics of the production process according to claim 1, characterized in that: In step 5, the textile industry user-related data include the textile industry users' electrical load, thermal load, energy acquisition parameters and input equipment operating parameters; wherein the energy acquisition parameters include the electric power output of distributed photovoltaics, the electricity price of the external power grid, the power of electricity purchased from the external power grid, the natural gas consumption, the lower calorific value of natural gas and the price of natural gas; the input equipment operating parameters include gas boiler operating parameters, electric steam boiler operating parameters, condensing machine operating parameters, steam accumulator operating parameters, textile process operating parameters, printing and dyeing process operating parameters, ironing process operating parameters, basic parameters of the first storage warehouse, and basic parameters of the second storage warehouse.

15. A power-steam dispatching system for the textile industry taking into account the production process characteristics using the power-steam dispatching method for the textile industry taking into account the production process characteristics as described in any one of claims 1 to 14, characterized in that: It includes the production process architecture building module, data acquisition multi-energy flow coupling equipment model building module, textile industry user production constraint building module, textile industry optimization scheduling model building module and textile industry optimization scheduling model solving module: The full-process production architecture building module builds a full-process production architecture for textile industry users based on the energy supply structure and production process flow of textile industry users; The data acquisition multi-energy flow coupling equipment model construction module constructs a multi-energy flow coupling equipment model based on the production full process architecture; The textile industry user production constraint construction module constructs the textile industry user production constraints based on the full production process architecture; The textile industry optimization scheduling model construction module sets the textile industry system operation optimization objective function, and constructs the textile industry optimization scheduling model based on the multi-energy flow coupling equipment model, the textile industry user production constraints and the optimization objective function; The textile industry optimization scheduling model solving module collects textile industry user-related data, solves the textile industry optimization scheduling model, and obtains scenario scheduling results.

16. An electronic device, comprising a processor and a storage medium; characterized in that: The storage medium is used to store instructions; The processor is configured to operate according to the instructions to execute the power-steam scheduling method for the textile industry taking into account production process characteristics according to claims 1-14.

17. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method for dispatching electricity and steam for the textile industry taking into account the characteristics of the production process as described in claims 1-14 is implemented.

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