CN-121998171-A - Real-time electric power flexibility potential quantification and scheduling strategy optimization method for iron and steel enterprises

Abstract

The invention relates to the technical field of power dispatching, in particular to a method for quantifying the potential of real-time power flexibility and optimizing a dispatching strategy of a steel enterprise, which comprises the steps of collecting historical power data of the steel enterprise and preprocessing; the method comprises the steps of dividing a steel production process into areas according to quantized flexibility potential based on a coupling relation among devices, quantizing additional energy consumption and additional carbon emission of each process participating in power flexibility adjustment in the quantization process of the flexibility potential, optimizing by utilizing a multi-objective optimization algorithm in consideration of peak-valley electricity price and renewable energy volatility of an external power market, and dynamically adjusting strategies according to real-time production data. Based on actual production data, the invention carries out real-time systematic quantification on the electric power flexibility potential of the iron and steel enterprises, takes the dynamic changes of additional energy consumption, carbon emission and external electric power markets into an optimization target on the basis of considering electric power cost and load balance, and carries out comprehensive optimization scheduling.

Inventors

• ZHAO XUAN
• CHENG FAN
• XIAO YAQING
• YANG XINGANG
• SUN WENQIANG
• WANG JIALI
• CHEN TIANTIAN
• LIU JING
• Luo dai
• GONG FEIXIANG
• LIU XINMIN
• XU XIAOYUAN

Assignees

• 东北大学
• 国网上海市电力公司
• 中国电力科学研究院有限公司
• 上海交通大学

Dates

Publication Date

20260508

Application Date

20251231

Claims (11)

1. 1. The method for optimizing the real-time power flexibility potential quantification and scheduling strategy of the iron and steel enterprise is characterized by comprising the following steps of: collecting historical electric power data of an iron and steel enterprise, and preprocessing the historical electric power data; dividing the steel production flow into areas according to quantized flexibility potential based on the coupling relation between devices; In the quantification process of the flexibility potential, quantifying additional energy consumption and additional carbon emission of each process involved in the adjustment of the power flexibility; Based on the quantification results of the extra energy consumption and the extra carbon emission, peak-valley electricity price and renewable energy volatility of an external power market are considered, a multi-objective optimization algorithm is utilized for optimizing, an optimization scheduling strategy participating in a real-time demand response market is formulated, and dynamic adjustment is carried out on the strategy according to real-time production data.
2. 2. The method for optimizing real-time power flexibility potential quantization and scheduling policies of a steel enterprise according to claim 1, wherein the historical power data comprises power consumption data, production data, carbon emission data, and external power market data; The power consumption data comprise real-time load curves and power consumption data of electric equipment of the iron and steel enterprises, the production data comprise production plans, yields and equipment running states of all working procedures, the carbon emission data comprise direct and indirect carbon emission and carbon deduction data of all working procedures, and the external power market data comprise real-time electricity price and renewable energy power generation quantity prediction of a power market.
3. 3. The method for optimizing the real-time power flexibility potential quantification and scheduling strategy of the iron and steel enterprise according to claim 1, wherein the preprocessing represents processing and analyzing the historical power data to obtain the load type, load characteristic and energy consumption characteristic of the electric equipment of the iron and steel enterprise and the process safety domain of each equipment; The load type comprises load capable of being reduced, interrupted and transferred, the load characteristic comprises fluctuation and adjustability of the load, the energy consumption characteristic comprises consumption rules of energy under different production working conditions, different equipment running states and different production strategies, and the process safety domain represents a parameter range of equipment capable of ensuring safe and stable running in the steel production process.
4. 4. The method for optimizing real-time power flexibility potential quantization and scheduling strategies for steel enterprises according to claim 1, wherein the steel production process is divided into a coking and sintering area, a steelmaking-refining-continuous casting area and a steel rolling area; The coking and sintering area comprises equipment for producing coke and sinter, the steelmaking-refining-continuous casting area comprises converter, refining furnace and continuous casting equipment, and the steel rolling area comprises heating furnace, flying shear and rolling mill equipment.
5. 5. The method for optimizing real-time power flexibility potential quantization and scheduling strategy of steel enterprises according to claim 4, wherein the flexibility potential of the coking and sintering area specifically comprises: when the inventory of sinter and coke meets the blast furnace production, the flexibility potential is expressed as: Wherein, the Flexibility potential for coking and sintering zones; the production power for the coking and sintering zone; When the inventory of sinter and coke does not meet the blast furnace production, the flexibility potential can be expressed as, Wherein, the To a production device Is a power of (2); Representing production equipment When the operating state of (1) Indicating that the production equipment is operating normally when When the production equipment is used as an interruptible load, the production equipment participates in flexibility adjustment; the product inventory for each device must meet downstream requirements to ensure continuous production of the product: Wherein, the To a production device Is a product inventory of (1); Is a device Is a minimum limit of the inventory of products, The production time is the production time; product inventory for each device Affected by operating conditions and upstream and downstream equipment: Wherein, the Processing capacity per unit time of the device; Consumption for downstream equipment; if the product inventory of a certain machine is sufficient, the flexibility adjustment can be engaged: wherein I is an indication function, and is 1 when the condition is satisfied, otherwise is 0; Both stock and power are non-negative numbers: 。
6. 6. The method for optimizing real-time power flexibility potential quantization and scheduling policy of steel enterprises according to claim 4, wherein the flexibility potential of the steelmaking-refining-continuous casting area specifically comprises: the real-time electric activity of the steelmaking-refining-continuous casting area is as follows: Wherein, the Real-time flexibility potential for steelmaking-refining-continuous casting areas; Is a device In the time period K is the equipment set; Collecting the heat of molten steel; for the task Apparatus and method for controlling the operation of a device Processing time on; E {0,1}, represent tasks Whether or not to be in the apparatus Time period of (2) Starting the treatment; is the baseline load; The production flow constraints include: Wherein, the For the task In the device A start time on; The molten steel temperature constraint is as follows: Wherein, the For molten steel entering the apparatus Is set at a temperature of (2); For molten steel entering the apparatus Is the lowest temperature limit of (2); Representing tasks The temperature reduction amplitude of unit time in the process of transferring the molten steel from the last link of the equipment j to the equipment j; device uniqueness constraints, i.e. the same device At any time period At most one task is handled: Wherein, the Representing the execution state of task i on device j, if task i is executed by device j Otherwise, 0.
7. 7. The method for optimizing real-time power flexibility potential quantization and scheduling policy of steel enterprises according to claim 4, wherein the flexibility potential of the steel rolling area specifically comprises: The flexibility potential of the steel rolling area is derived from a rolling mill, the power of the rolling mill is related to a steel billet to be rolled, and the rolling force of the steel billet to be rolled is as follows: Wherein, the Is the rolling force; is the average width of the billet; Is the length of the deformation zone; is the coefficient of friction; The thickness of the steel billet before rolling; the thickness of the steel billet after rolling; Is the thickness variation of the steel billet; Is plane deformation resistance; Is the coefficient of viscosity; is poisson coefficient; is the radius of the roller; The plane deformation resistance K is expressed as: Wherein, the Is carbon content; manganese content; is the chromium content; The rolling temperature of the billet; the rolling equivalent moment of the rolling mill is as follows: Wherein, the Is the first Equivalent moment of the bench rolling mill; Is the first Moment during rolling of the bench rolling mill; Is the first Idling moment of the bench rolling mill; Is the first Rolling time of the bench rolling mill; Idle time of the rolling mill; under normal production conditions, the power of each rolling mill is as follows: Wherein, the Is the first The power of the table motor; is the rotational speed of the motor; The motor transmission efficiency is achieved; The demand response potential is expressed as: Wherein P Z is the mill demand response potential; Flexibility potential of the to-be-rolled Steel region Expressed as: Wherein, the Is the power of auxiliary equipment in the hot rolling process.
8. 8. The method for optimizing the real-time power flexibility potential quantization and scheduling strategy of the iron and steel enterprise according to claim 1, wherein the additional energy consumption comprises energy consumption of materials recovered to an original state after temperature and pressure change, energy consumption caused by the increase of equipment working time, energy consumption caused by the change of the working state of equipment related to the equipment caused by the equipment participation adjustment, and energy consumption caused by the reduction of energy utilization rate or the unutilized energy caused by the participation adjustment; Consuming the additional energy Expressed as: Wherein, the Represents the energy consumption of the material recovered to the original state after the temperature and the pressure change, Indicating the energy consumption caused by the increase of the operating time of the device, Indicating that the participation of the device in the regulation results in energy consumption caused by a change in the operating state of the device associated therewith, Indicating the energy consumption caused by the reduction of the energy utilization rate or the non-utilization of the energy caused by the participation in the regulation, Representing additional recovery energy consumption; energy consumption for recovering the material to the original state after temperature and pressure change Expressed as: Wherein, the Is the first The mass of the seed material; Is the first Specific heat of seed material; Is the first Temperature change of seed materials; Is the first The volume of seed material; Is the first Pressure change of seed materials; The energy consumption caused by the increase of the working time of the equipment is expressed as: Wherein, the Is the first Power of the station apparatus; Is the first An amount of increase in the operating time of the station apparatus; the energy consumption caused by the change of the working state of the equipment related to the equipment caused by the participation of the equipment in regulation is expressed as follows: Wherein, the Is the first Energy consumption caused by start-stop of related equipment of the platform; Is the first Energy consumption caused by load change of the related equipment of the platform; and (3) representing the energy consumption caused by the reduction of the energy utilization rate or the non-utilization of the energy caused by the participation regulation as: Wherein, the The energy consumption after the flexibility adjustment is participated in; Is the energy consumption during normal production; The additional recovered energy consumption is expressed as: Wherein, the Representing the various energy sources recovered.
9. 9. The method for optimizing real-time power flexibility potential quantization and scheduling strategies of iron and steel enterprises according to claim 1, wherein the additional carbon emission comprises direct carbon emission and indirect carbon emission of each equipment participating in flexibility adjustment, the direct carbon emission comprises carbon emission of energy additional consumption, and the indirect carbon emission comprises carbon emission caused by additional power consumption; Discharging the direct carbon emissions Expressed as: Wherein, the Carbon content per unit volume of fuel; in order to achieve a carbon oxidation rate, Representing the additional gas consumption generated in the participation of the demand response process; the indirect carbon emission Expressed as: Wherein, the Is the first Consumption of seed energy; Is the first Carbon emission factor of seed energy; buckling the carbon Expressed as: Wherein, the The production amount of byproducts of the hot rolling process; Carbon emission factor as a byproduct; the additional carbon emissions The method comprises the following steps: after participation in demand response, the green electricity content is used as follows Is provided by the power grid after production is resumed Green electricity use time of (2) discharging the carbon of the binder Expressed as: Wherein, the Carbon emission factor for electrical energy; Restoring the green electricity use time provided by the produced power grid; the carbon benefits involved in demand response regulation are: Wherein, C is the CO 2 emission reduction of participating in demand response.
10. 10. The method for optimizing the real-time power flexibility potential quantization and scheduling policy of the iron and steel enterprise according to claim 1, wherein the optimizing and scheduling policy participating in the real-time demand response market is formulated by utilizing multi-objective optimizing algorithm optimizing in consideration of peak-valley electricity price and renewable energy volatility of the external power market, and specifically comprises the following steps: The peak-to-valley electricity price and renewable energy source volatility of the external electricity market are considered through a real-time electricity price prediction model and a renewable energy source generating capacity prediction model, the objective function of the multi-objective optimization algorithm comprises the steps of minimizing additional energy consumption, minimizing carbon emission and maximizing electricity flexibility regulation income, and the objective function of the multi-objective optimization algorithm is expressed as: Wherein, the To schedule revenue; To participate in the electricity price return of the real-time flexibility, To participate in the incentive benefits of real-time flexibility; Real-time flexibility provided for each region in practice; Representing the total amount of additional energy consumption involved in flexible interaction generation; Representing the additional total carbon emissions involved in the flexible interaction; The energy consumption when participating in the real-time flexibility potential for each region, Carbon emissions for each zone while participating in the real-time flexibility potential, As a cost factor of the energy consumption, Cost factor for carbon emissions; The flexibility potential provided by each zone should be such that: Wherein, the A flexibility potential provided for real-time needs.
11. 11. The method for optimizing real-time power flexibility potential quantization and scheduling strategies for iron and steel enterprises according to claim 1, wherein the dynamic adjustment of the strategies according to the real-time production data specifically comprises: the method comprises the steps of monitoring and evaluating the electric power flexibility potential of the iron and steel enterprises in real time, dynamically adjusting a scheduling strategy based on real-time data, quantifying and planning the electric power flexibility potential of the iron and steel enterprises for a long time, and quantifying and planning the future flexibility potential based on historical data and market trends.

Description

Real-time electric power flexibility potential quantification and scheduling strategy optimization method for iron and steel enterprises Technical Field The invention relates to the technical field of power dispatching, in particular to a method for quantifying real-time power flexibility potential and optimizing dispatching strategies of iron and steel enterprises. Background As large-scale renewable energy sources are incorporated into the grid, grid dispatching pressures are increasing. At the same time, iron and steel enterprises are also faced with the dual challenges of energy cost rise and carbon emission limitation. The steel production is used as a high energy consumption industry, has high monomer capacity and strong controllability, has remarkable flexibility potential, and can improve the stability of a power grid and relieve the energy environment-friendly pressure faced by self production by participating in power load adjustment. However, the production process of the iron and steel enterprises has strong coupling and continuity, the adjustment of the power load is strictly limited by the production process and the running state of equipment, and the traditional power dispatching method is difficult to meet the requirements of real-time performance and flexibility. Therefore, how to quantify the power flexibility potential of the iron and steel enterprises and to formulate an optimized scheduling strategy becomes a technical problem to be solved urgently. Disclosure of Invention According to the technical problems, the real-time power flexibility potential quantification and scheduling strategy optimization method for the iron and steel enterprises is provided. The invention fully considers the coupling relation between devices in the production flow and the limitation of the process safety domain, and based on actual production data, carries out real-time systematic quantification on the electric power flexibility potential of the iron and steel enterprises. Meanwhile, on the basis of considering the power cost and the load balance, the additional energy consumption, the carbon emission and the dynamic change of the external power market are taken into optimization targets, and comprehensive optimization scheduling is performed. The invention adopts the following technical means: A real-time power flexibility potential quantification and scheduling strategy optimization method for steel enterprises comprises the steps of collecting historical power data of the steel enterprises, preprocessing the historical power data, dividing a steel production flow into areas according to quantified flexibility potential based on a coupling relation among devices, quantifying extra energy consumption and extra carbon emission of each procedure participating in power flexibility adjustment in the quantification process of the flexibility potential, considering peak-valley electricity price and renewable energy volatility of an external power market based on quantification results of the extra energy consumption and the extra carbon emission, optimizing by utilizing a multi-objective optimization algorithm, formulating an optimization scheduling strategy participating in a real-time demand response market, and dynamically adjusting the strategy according to real-time production data. Further, the historical power data includes power consumption data, production data, carbon emission data, and external power market data; The power consumption data comprise real-time load curves and power consumption data of electric equipment of the iron and steel enterprises, the production data comprise production plans, yields and equipment running states of all working procedures, the carbon emission data comprise direct and indirect carbon emission and carbon deduction data of all working procedures, and the external power market data comprise real-time electricity price and renewable energy power generation quantity prediction of a power market. Further, the preprocessing represents processing and analyzing the historical power data to obtain the load type, load characteristics and energy consumption characteristics of electric equipment of the iron and steel enterprise and the process safety domain of each equipment; The load type comprises load capable of being reduced, interrupted and transferred, the load characteristic comprises fluctuation and adjustability of the load, the energy consumption characteristic comprises consumption rules of energy under different production working conditions, different equipment running states and different production strategies, and the process safety domain represents a parameter range of equipment capable of ensuring safe and stable running in the steel production process. Further, the steel production flow is divided into a coking area, a sintering area, a steelmaking-refining-continuous casting area and a steel rolling area; The coking and sintering area comprises equipment fo