Multi-scenario gas optimization and allocation system applied to the steel industry

Abstract

The present invention discloses a multi-scenario gas optimization and allocation system applied to the steel industry, which belongs to the field of energy optimization of steel enterprises. The hardware includes an application server, a database server and a client PC; the application server and the database server are connected to a switch via a network cable, and the switch is connected to the router of each client PC to realize communication between the client and the server. The software includes two parts: client software and server software; the client software includes a deployed basic configuration module and a multi-scenario gas allocation module; the application server deploys a database communication module, a data processing module, a working condition merging module, a gas supply and demand calculation module and a gas optimization and allocation module. The database server runs a relational database for various data and working condition information. The present invention combines human experience, allocation rules and gas optimization and allocation models, and continuously optimizes the best match between the maintenance plan and the gas balance plan through result evaluation and iterative adjustment.

Description

Technical Field

[0001] The present invention belongs to the technical field of energy optimization of steel enterprises, and specifically is a multi-scenario coal gas optimization and allocation system applied to the steel industry. Background Art

[0002] The coal gas of steel enterprises is a recycled energy medium and is the main fuel of steel enterprises, including blast furnace gas, converter gas and coke oven gas. Coal gas consumption accounts for a large proportion of the total energy consumption of enterprises. The level of coal gas production and the balance of supply and demand of a steel enterprise have a great impact on the product cost and energy consumption of the enterprise.

[0003] In the production of steel enterprises, the recovery equipment is often repaired or shut down, which leads to the shortage or shortage of gas resources. Sometimes the production line maintenance also leads to the release of gas. Compared with the release of gas, the allocation of gas in the case of insufficient gas is more critical.

[0004] Reasonable maintenance or shutdown plans are crucial to the optimal allocation of gas resources. Therefore, it is particularly important to better coordinate production and gas resource recovery, reduce external purchases and releases, and achieve planned matching of production and gas supply and demand balance. Summary of the invention

[0005] The present invention provides a multi-scenario gas optimization and allocation system applied to the steel industry. Based on human-computer interaction, scheduling rules, and combined with optimization models, it aims at the allocation of gas resources under multiple working conditions in the steel industry, and provides a gas optimization and allocation system for working condition scenario setting, optimization allocation and scheme evaluation for gas planning and scheduling personnel of steel enterprises.

[0006] The multi-scenario gas optimization and allocation system hardware includes an application server, a database server and a client PC;

[0007] The application server and database server are connected to the switch via a network cable, and the switch is connected to the router of each client PC through a firewall to achieve communication between the client and the server.

[0008] Deploy the basic configuration module and multi-scenario gas allocation module on the client PC;

[0009] The basic configuration module includes: unit configuration module, unit input and output configuration module and working condition type configuration module;

[0010] The specific configuration process and configuration information are as follows:

[0011] First, the unit configuration is performed, including the configuration of the gas medium generation and consumption units and the hierarchical affiliation of the units;

[0012] Secondly, the unit input and output configuration is performed, including the generation and consumption type, normal state hourly experience value, unit, maximum value and minimum value of various gas media in each unit;

[0013] Finally, the operating condition type is configured, including the common operating condition types of each gas recovery and consumption unit, the gas recovery and consumption impact under different operating conditions, the relationship calculation formula with other parameters, the start impact lag time, and the end impact lag time.

[0014] The multi-scenario gas allocation module includes: scenario configuration module, gas balance result display module and gas balance scheme evaluation module;

[0015] The specific deployment process is as follows:

[0016] First, configure various working condition information in the client scenario configuration module. Each working condition is represented by a Gantt bar in the Gantt chart. The time range and duration of the working condition can be adjusted by dragging. Then, by triggering the gas optimization and allocation button, the server-side working condition merging module, gas supply and demand calculation module, and gas optimization and allocation module are called in sequence to perform gas optimization calculations and optimize the data results. After statistical aggregation by the data processing module, they are displayed in the client gas balance result display module.

[0017] The gas optimization allocation results are evaluated in the client gas balance plan evaluation module. If the user is satisfied, click the Save button to save the plan. If not, modify the operating configuration or user allocation rules and re-calculate the gas optimization allocation.

[0018] The application server side deploys database communication module, data processing module, working condition merging module, gas supply and demand calculation module and gas optimization and allocation module.

[0019] The specific deployment process includes the following steps:

[0020] Step I: Divide gas users into rigid users and adjustable users;

[0021] Among them, rigid users are divided into single gas users and single replaceable users; adjustable users are divided into mixed gas users and buffer users.

[0022] Step II: Calculate the converter gas recovery volume and rigid user demand based on the current period operating conditions, and further determine whether the converter gas is balanced. If the converter gas is insufficient, give priority to synthesizing converter gas from blast furnace gas and coke oven gas. Otherwise, excess converter gas is provided to mixed gas users.

[0023] Step III, calculate the coke oven gas recovery amount, rigid user consumption and deducted synthetic converter gas amount according to the current period operating conditions, and further determine whether the coke oven gas is balanced. If the coke oven gas is insufficient, determine whether there is a single replaceable user with available coke oven gas or blast furnace gas. If so, the replaceable user can replace the coke oven gas with blast furnace gas, otherwise adjust the user demand according to the priority of the coke oven gas user; if the coke oven gas is excess, enter step V and involve the excess coke oven gas in the mixed gas optimization distribution process.

[0024] Step IV, calculate the blast furnace gas recovery amount, rigid user consumption and deduct the synthetic converter gas amount according to the current period operating conditions, and further determine whether the blast furnace gas is balanced. If the blast furnace gas is insufficient, determine whether there is available coke oven gas or a single replaceable user of blast furnace gas. If so, the replaceable user can replace the blast furnace gas with coke oven gas, otherwise adjust the user demand according to the priority of blast furnace gas users; if there is excess blast furnace gas, enter step V and use the excess blast furnace gas in the mixed gas optimization distribution process.

[0025] Step V: After blast furnace gas, coke oven gas and converter gas are allocated according to priority to meet rigid user demands, the surplus is used for allocation to mixed gas users.

[0026] When the number of converter gas users is limited and there are no buffer users, converter gas is allocated first. After the converter gas is allocated, the demand for blast furnace gas and coke oven gas is calculated according to the following formula:

[0027] Q bfg ×P bfg +Q cog ×P cog =(Q mg -Q ldg )×P mg

[0028] Q bfg +Q cog =(Q mg -Q ldg )

[0029] Where Q bfg Indicates the blast furnace gas demand, Q cog Indicates the coke oven gas demand, Q ldg Indicates converter gas demand, Q mg Indicates the mixed gas demand, P bfg Indicates the calorific value of blast furnace gas, P cog Indicates the calorific value of coke oven gas, P mg Indicates the calorific value of mixed gas.

[0030] According to the calculation results of blast furnace gas and coke oven gas demand, if blast furnace gas is insufficient, determine whether blast furnace gas can be replaced. If so, use blast furnace gas to replace the blast furnace gas. If not or there is insufficient coke oven gas after replacement, introduce natural gas for ratio optimization calculation;

[0031] If the coke oven gas is insufficient, determine whether the coke oven gas can be replaced. If so, use blast furnace gas to replace the coke oven gas. If not or there is insufficient blast furnace gas after replacement, introduce natural gas for ratio optimization calculation.

[0032] The model for introducing natural gas for ratio optimization calculation is as follows:

[0033] The objective function is to minimize the remaining gas penalty value J:

[0034]

[0035] Where R i is the remaining available amount of the i-th gas, Q i is the consumption of the i-th type of gas supplied to the mixed gas station user, A i is the penalty value of the i-th gas, which is set in the order of converter gas, coke oven gas, blast furnace gas and natural gas from large to small. n represents the type of gas involved in the calculation.

[0036] The constraints are as follows:

[0037]

[0038]

[0039] Q i ≤R i

[0040] P i is the calorific value of the i-th gas;

[0041] Step VI: Buffer users calculate gas demand according to energy balance, allocate gas according to surplus and user priority, and make up for the shortfall with gas tank buffer or thermal coal.

[0042] The excess is deducted from the buffer capacity of the gas tank and then the release calculation is performed.

[0043] The database server runs a relational database, which is used to store unit configuration data, input and output configuration data, and operating condition information.

[0044] The advantages of the present invention are:

[0045] A multi-scenario gas optimization and allocation system applied to the steel industry combines human experience, allocation rules and gas optimization and allocation models through a highly human-computer interactive scenario setting based on a Gantt chart, and continuously optimizes the best match between the maintenance plan and the gas balance plan through result evaluation and iterative adjustment. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 This is a structural diagram of the multi-scenario gas optimization and allocation system described in the present invention.

[0047] Figure 2 This is a classification diagram of gas users in the multi-scenario gas optimization and allocation system described in the present invention.

[0048] Figure 3 This is the converter gas balance calculation process in the multi-scenario gas optimization and allocation system described in the present invention.

[0049] Figure 4 This is the coke oven gas balance calculation process in the multi-scenario gas optimization and allocation system described in the present invention.

[0050] Figure 5 This is the blast furnace gas balance calculation process in the multi-scenario gas optimization and allocation system described in the present invention.

[0051] Figure 6 Optimizing distribution process for mixed gas users in the multi-scenario gas optimization allocation system of the present invention

[0052] Figure 7 It is a gas distribution process for buffering users in the multi-scenario gas optimization and allocation system described in the present invention. DETAILED DESCRIPTION

[0053] In order to express the technical solutions and advantages of the embodiments of the present invention more clearly, the technical solutions of the present invention are further described in detail below through the accompanying drawings and embodiments.

[0054] The present invention provides a multi-operating scenario configuration and gas balance optimization system for a steel enterprise based on Gantt chart technology, which comprehensively optimizes and allocates various gas media in the steel industry. Based on the calculation model of gas production and consumption impact under various common operating conditions and the gas balance allocation strategy, a gas optimization allocation system for a steel enterprise based on human-computer interaction, scheduling rules, and optimization models is provided. Aiming at the allocation problem of gas resources under multiple operating scenarios in the steel industry, a gas optimization allocation system for steel enterprise gas planning and scheduling personnel is provided with a set of operating scenario settings, optimization allocation, and scheme evaluation.

[0055] The multi-scenario gas optimization and allocation system, such as Figure 1As shown, the hardware includes application servers, database servers, client PCs, and network devices connecting the computers, including switches, network cables, firewalls, and routers.

[0056] The application server and database server are connected to the switch via a network cable, and the switch is connected to the router of each client PC through a firewall to achieve communication between the client and the server.

[0057] The software system consists of two parts: client software and server software; the client software is deployed on the client PC device, and the server software is deployed on the server. The client software includes the basic configuration module and the multi-scenario gas allocation module; the basic configuration module includes: unit configuration module, unit input and output configuration module and working condition type configuration module; the specific configuration process and configuration information are as follows:

[0058] First, the unit configuration is performed, including the configuration of the gas medium generation and consumption units and the hierarchical affiliation of the units;

[0059] Secondly, the unit input and output configuration is performed, including the generation and consumption type, normal state hourly experience value, unit, maximum value and minimum value of various gas media in each unit;

[0060] Finally, the operating condition type is configured, including the common operating condition types of each gas recovery and consumption unit, the gas recovery and consumption impact under different operating conditions, the relationship calculation formula with other parameters, the start impact lag time, and the end impact lag time.

[0061] The multi-scenario human-computer interactive gas allocation module includes three modules: scenario configuration module, gas balance result display module and gas balance scheme evaluation module;

[0062] The specific deployment process is as follows:

[0063] First, configure various working condition information in the scenario configuration module, and display each working condition as a Gantt bar in the Gantt chart; working condition information includes the start time, end time, working condition type, description, gas recovery and consumption impact of the working condition; adjust the time range and duration of the working condition by dragging;

[0064] The gas allocation results are obtained through one-click calculation and displayed in the gas balance result display module, with the balance status of different working condition sections displayed in sections in the form of tables and curves;

[0065] The gas balance scheme evaluation module can evaluate the gas allocation results. The evaluation indicators involved include emission rate, cost and environmental protection indicators. If the evaluation result is not satisfactory, the gas balance allocation calculation can be re-performed by adjusting the operating condition configuration.

[0066] The server software includes application server and database server; the application server includes deployment of: database communication module, data processing module, working condition merging module, gas supply and demand calculation module, gas optimization and allocation module. The unit configuration, input and output configuration, and working condition information involved in the system are all stored in the relational database, and the relational database runs on the database server.

[0067] The database communication module is mainly used to connect to the database to add, delete, modify and query data;

[0068] The data processing module is mainly used for statistical calculation and format conversion of data;

[0069] The working condition merging module is mainly used for superimposing and segmenting working conditions on the time axis in multiple scenarios;

[0070] The gas supply and demand calculation module is mainly used to calculate the recovery and consumption of gas under superimposed working conditions at different time periods;

[0071] The gas optimization and allocation module mainly performs gas balance optimization calculation based on the gas supply and demand calculation results; the gas optimization and allocation process in the gas optimization and allocation module is the key link of the technology, including the following steps:

[0072] Step I: Divide gas users into rigid users and adjustable users;

[0073] like Figure 2 As shown, rigid users are divided into single gas users and single replaceable users (which can burn both blast furnace gas and coke oven gas); adjustable users are divided into mixed gas users (the gas needs to meet certain calorific value and flow requirements after mixing) and buffer users (without ratio and calorific value constraints, as long as the energy balance is met, such as boilers and power stations).

[0074] Step II: Calculation process of converter gas balance, such as Figure 3 As shown: the converter gas recovery volume and rigid user demand are calculated based on the current period operating conditions, and the converter gas balance calculation is performed. If the converter gas is insufficient, priority is given to synthesizing converter gas from blast furnace gas and coke oven gas, otherwise the excess converter gas is provided to mixed gas users.

[0075] Step III, coke oven gas balance calculation process, such as Figure 4As shown: the coke oven gas recovery amount, rigid user consumption and deducted synthetic converter gas amount are calculated according to the current period operating conditions, and the coke oven gas balance calculation is further performed. If the coke oven gas is insufficient, it is determined whether there is a single replaceable user with available coke oven gas or blast furnace gas. If so, the replaceable user can replace the coke oven gas with blast furnace gas, otherwise the user demand is adjusted according to the priority of the coke oven gas user; if the coke oven gas is excess, step V is entered to involve the excess coke oven gas in the mixed gas optimization distribution process.

[0076] Step IV, blast furnace gas balance calculation process, such as Figure 5 As shown: the blast furnace gas recovery amount, rigid user consumption and deducted synthetic converter gas amount are calculated according to the operating conditions of the current period, and the blast furnace gas balance calculation is further performed. If the blast furnace gas is insufficient, it is determined whether there is available coke oven gas or a single replaceable user of blast furnace gas. If so, the replaceable user can replace the blast furnace gas with coke oven gas, otherwise the user demand is adjusted according to the priority of blast furnace gas users; if there is excess blast furnace gas, enter step V and involve the excess blast furnace gas in the mixed gas optimization distribution process.

[0077] Step V: Optimizing the allocation process for mixed gas users, such as Figure 6 As shown: after blast furnace gas, coke oven gas and converter gas are allocated according to priority to meet rigid user demand, the surplus is allocated to mixed gas users.

[0078] When the number of converter gas users is limited and there are no buffer users, converter gas is allocated first. After the converter gas is allocated, the demand for blast furnace gas and coke oven gas is calculated according to the following formula:

[0079] Q bfg ×P bfg +Q cog ×P cog =(Q mg -Q ldg )×P mg

[0080] Q bfg +Q cog =(Q mg -Q ldg )

[0081] Where Q bfg Indicates the blast furnace gas demand, Q cog Indicates the coke oven gas demand, Q ldg Indicates converter gas demand, Q mg Indicates the mixed gas demand, P bfg Indicates the calorific value of blast furnace gas, P cog Indicates the calorific value of coke oven gas, P mg Indicates the calorific value of mixed gas.

[0082] According to the calculation results of blast furnace gas and coke oven gas demand, if blast furnace gas is insufficient, determine whether blast furnace gas can be replaced. If so, use blast furnace gas to replace the blast furnace gas. If not or there is insufficient coke oven gas after replacement, introduce natural gas for ratio optimization calculation;

[0083] If the coke oven gas is insufficient, determine whether the coke oven gas can be replaced. If so, use blast furnace gas to replace the coke oven gas. If not or there is insufficient blast furnace gas after replacement, introduce natural gas for ratio optimization calculation.

[0084] The optimization model of mixed gas ratio after the introduction of natural gas is as follows:

[0085] The objective function is to minimize the remaining gas penalty value J:

[0086]

[0087] Where R i is the remaining available amount of the i-th gas, Q i is the consumption of the i-th type of gas supplied to the mixed gas station user, A i is the penalty value of the i-th gas, which is set in the order of converter gas, coke oven gas, blast furnace gas and natural gas from large to small. n represents the type of gas involved in the calculation.

[0088] The constraints are as follows:

[0089]

[0090]

[0091] Q i ≤R i

[0092] P i is the calorific value of the i-th gas;

[0093] Step VI, buffer user gas distribution process: Figure 7 As shown, buffer users calculate gas demand according to energy balance, distribute it according to user priority based on the surplus, and the shortfall is supplemented by gas tank buffer or thermal coal.

[0094] The excess is deducted from the buffer capacity of the gas tank and then the release calculation is performed.

[0095] The database server runs a relational database, which is used to store unit configuration data, input and output configuration data, and operating condition information.

Claims

1. A multi-scenario gas optimization and allocation system applied to the steel industry, characterized in that: Specifically including the application server, database server and client PC on the hardware; The application server and database server are connected to the switch via a network cable, and the switch is connected to the router of each client PC through a firewall to achieve communication between the client and the server; Deploy the basic configuration module and multi-scenario gas allocation module on the client PC; The application server deploys database communication module, data processing module, working condition merging module, gas supply and demand calculation module and gas optimization and allocation module; The database server runs a relational database, which is used to store unit configuration data, input and output configuration data, and operating condition information; The multi-scenario gas allocation module includes: a scenario configuration module, a gas balance result display module and a gas balance scheme evaluation module; The specific deployment process is as follows: First, configure various working condition information in the client scenario configuration module. Each working condition is represented by a Gantt bar in the Gantt chart. The time range and duration of the working condition can be adjusted by dragging. Then, by triggering the gas optimization and allocation button, the service-side working condition merging module, gas supply and demand calculation module, and gas optimization and allocation module are called to perform gas optimization calculation in sequence, and the data results are optimized. After statistical aggregation by the data processing module, they are displayed in the client gas balance result display module; In the client gas balance scheme evaluation module, the gas optimization allocation result is evaluated. If the user is satisfied, click the Save button to save the scheme. If not, modify the working condition configuration or user allocation rules and recalculate the gas optimization allocation. The specific deployment process of the gas optimization deployment module includes the following steps: Step I: Divide gas users into rigid users and adjustable users; Among them, rigid users are divided into single gas users and single replaceable users; adjustable users are divided into mixed gas users and buffer users; Step II: Calculate the converter gas recovery amount and rigid user demand according to the current period working conditions, and further determine whether the converter gas is balanced. If the converter gas is insufficient, give priority to synthesizing converter gas from blast furnace gas and coke oven gas. Otherwise, the excess converter gas is provided to mixed gas users. Step III, according to the current period working conditions, calculate the coke oven gas recovery amount, rigid user consumption and deduct the synthetic converter gas amount, and further determine whether the coke oven gas is balanced. If the coke oven gas is insufficient, determine whether there is a single replaceable user with available coke oven gas or blast furnace gas. If so, the replaceable user can replace the coke oven gas with blast furnace gas. Otherwise, adjust the user demand according to the priority of the coke oven gas user. If the coke oven gas is excessive, enter step V and use the excess coke oven gas in the mixed gas optimization distribution process. Step IV, according to the current period working conditions, calculate the blast furnace gas recovery amount, rigid user consumption and deduct the synthetic converter gas amount, and further determine whether the blast furnace gas is balanced. If the blast furnace gas is insufficient, determine whether there is available coke oven gas or a single replaceable user of blast furnace gas. If so, the replaceable user can replace the blast furnace gas with coke oven gas, otherwise adjust the user demand according to the priority of blast furnace gas users; if the blast furnace gas is excessive, enter step V, and use the excessive blast furnace gas in the mixed gas optimization distribution process; Step V: After allocating blast furnace gas, coke oven gas and converter gas according to priority to meet rigid user demand, the remaining gas is allocated to mixed gas users; When the number of converter gas users is limited and there are no buffer users, converter gas is allocated first. After the converter gas is allocated, the demand for blast furnace gas and coke oven gas is calculated according to the following formula: Q bfg ×P bfg +Q cog ×P cog =(Q mg -Q ldg )×P mg Q bfg +Q cog =(Q mg -Q ldg ) Where Q bfg Indicates the blast furnace gas demand, Q cog Indicates the coke oven gas demand, Q ldg Indicates converter gas demand, Q mg Indicates the mixed gas demand, P bfg Indicates the calorific value of blast furnace gas, P cog Indicates the calorific value of coke oven gas, P mg Indicates the calorific value of mixed gas; According to the calculation results of blast furnace gas and coke oven gas demand, if blast furnace gas is insufficient, determine whether blast furnace gas can be replaced. If so, use blast furnace gas to replace the blast furnace gas. If not or there is insufficient coke oven gas after replacement, introduce natural gas for ratio optimization calculation; If the coke oven gas is insufficient, determine whether the coke oven gas can be replaced. If so, use blast furnace gas to replace the coke oven gas. If not or there is insufficient blast furnace gas after replacement, introduce natural gas for ratio optimization calculation; The model for introducing natural gas for ratio optimization calculation is as follows: The objective function is to minimize the remaining gas penalty value J: Where R i is the remaining available amount of the i-th gas, Q i is the consumption of the i-th type of gas supplied to the mixed gas station user, A i is the penalty value of the i-th gas, which is set in descending order of converter gas, coke oven gas, blast furnace gas and natural gas; n represents the type of gas involved in the calculation; The constraints are as follows: Q i ≤R i P i is the calorific value of the i-th gas; Step VI: Buffer users calculate gas demand according to energy balance, allocate gas according to user priority based on surplus, and use gas tank buffer or thermal coal to supplement the shortfall; The excess is deducted from the buffer capacity of the gas tank and then the release calculation is performed.

2. A multi-scenario gas optimization and allocation system for the steel industry as claimed in claim 1, characterized in that: The basic configuration module includes: a unit configuration module, a unit input and output configuration module and a working condition type configuration module; The specific configuration process and configuration information are as follows: First, the unit configuration is performed, including the configuration of the gas medium generation and consumption units and the hierarchical affiliation of the units; Secondly, the unit input and output configuration is performed, including the generation and consumption type, normal state hourly experience value, unit, maximum value and minimum value of various gas media in each unit; Finally, the operating condition type is configured, including the common operating condition types of each gas recovery and consumption unit, the gas recovery and consumption impact under different operating conditions, the relationship calculation formula with other parameters, the start impact lag time, and the end impact lag time.

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