Furnace arrangement method, system and equipment based on new energy and grid power cooperative scheduling

Abstract

The invention provides a fire grate method, system and equipment based on new energy and grid power cooperative scheduling. The fire grate method based on new energy and grid power cooperative scheduling comprises the steps of obtaining new energy output data and grid power supply data; obtaining total power according to the new energy output data and the grid power supply data; acquiring in-use electric power of the operating furnace in the production cycle; according to the total electric power and the in-use electric power of the operating furnace in the production cycle, obtaining available electric power; and scheduling the operation state of the furnace according to the available power. According to the invention, the efficiency and the power supply stability of new energy and grid power cooperative scheduling can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power dispatching, and particularly to a furnace arrangement method, system and device based on coordinated dispatching of new energy and grid power. Background Art

[0002] With the acceleration of the global green energy transformation, renewable energy such as wind power and photovoltaic power has gradually become an important alternative to traditional energy. Especially in the industrial production field, more and more enterprises begin to rely on green electricity to reduce carbon emissions, lower energy costs, and promote sustainable development. However, the intermittency and volatility of green electricity, especially the uncertainty of power generation from wind power and photovoltaic power, have brought huge challenges to power dispatching.

[0003] Traditional power dispatching methods mainly rely on stable and reliable traditional energy sources such as coal, electricity, natural gas, etc., and the supply of these energy sources is relatively stable. However, with the addition of new energy, the volatility of power supply requires that the dispatching method must be adjusted accordingly to ensure the stability of power demand and supply; green electricity substitution refers to replacing traditional fossil energy with clean energy (such as wind power and photovoltaic power) to achieve a sustainable and environmentally friendly production process. Green electricity substitution requires coordinated dispatching of new energy to reduce dependence on traditional power and promote green production.

[0004] In the industrial field, many high-energy-consuming devices (such as submerged arc furnaces and electric arc furnaces in the metallurgical industry) have strong periodicity in power demand and usually require a long production cycle to complete a certain process. Therefore, how to combine the supply situations of the power grid and new energy and reasonably dispatch multiple furnaces for furnace arrangement operations has become an urgent problem to be solved.

[0005] However, existing furnace arrangement dispatching methods generally rely on the traditional power supply system and lack consideration of the volatility and uncertainty of new energy. Therefore, in the current industrial furnace arrangement process, the coordinated dispatching between new energy and the power grid has not been effectively achieved, and it is impossible to ensure the continuous and stable operation of the furnace when the new energy output is insufficient, nor can the advantages of new energy power generation be fully utilized, resulting in energy waste and low production efficiency. Most existing power dispatching schemes are limited to short-term power matching and single-device dispatching, and have not effectively optimized the dispatching for the cooperation between multiple high-energy-consuming devices (such as multi-furnace joint dispatching) and new energy. This is because the current technology has not fully solved the problem of how to maintain the stable operation of multiple furnaces when the new energy volatility is large and fully consider the coordination between grid power supply and new energy.

[0006] There is currently no mature furnace arrangement solution to solve such problems. There are already some technical solutions attempting to solve the new energy scheduling problem, mainly power scheduling solutions based on energy storage. Energy storage technology is commonly used to balance the mismatch between power supply and demand, especially in the case of large fluctuations in new energy. Some existing power scheduling solutions combine energy storage devices and use the energy storage system to store electrical energy when new energy generation is excessive and release energy when generation is insufficient. However, the focus of these solutions still lies in the load balancing of a single device, and there is a lack of effective solutions for the coordinated scheduling of multiple furnaces over a long period and for how to reasonably coordinate the power scheduling between the power grid and new energy; moreover, the energy storage capacity is limited and cannot solve the fundamental problem. The defects of the existing technologies are mainly manifested in the following aspects:

[0007] 1. The gap between single-device scheduling and multi-device coordinated scheduling: Existing scheduling solutions usually focus on the scheduling optimization of a single device (such as a single furnace or a power generation unit), lacking a coordinated scheduling strategy for multiple high-energy-consuming devices (such as multiple furnaces). In actual industrial production, the situation where multiple furnaces operate simultaneously is very common, but the existing technologies have failed to effectively coordinate the combined furnace arrangement operations of these devices during power fluctuations, resulting in inaccurate scheduling and energy waste.

[0008] 2. Ignoring the characteristics of long-cycle production: Most traditional scheduling solutions are based on short-cycle (such as hourly-level) power matching and do not fully consider the requirements of long-cycle equipment in industrial production. Especially for high-energy-consuming devices such as submerged arc furnaces and electric arc furnaces, their production cycles are often several hours or even longer. When facing these long-cycle production devices, the existing solutions have failed to effectively integrate the fluctuations of new energy and the operating characteristics of the devices, resulting in problems such as power shortages or furnace shutdowns when the output of new energy fluctuates.

[0009] 3. Lack of a coordinated scheduling mechanism for new energy and the power grid: Most existing scheduling methods focus on the scheduling of a single power source (such as the power grid or new energy generation), and lack a solution for how to coordinate the scheduling with grid power when the output of new energy is insufficient. Especially in many regions, the conditions for power grid peak shaving are restricted and cannot supplement the power gap at any time, but can only provide a fixed peak shaving space. Especially in the case of large fluctuations in new energy, the coordination between the flexibility of power grid scheduling and power demand becomes a difficult problem, and the existing technologies have failed to effectively solve the coordination conflict between the power grid and new energy generation and cannot stably supply the required power for multiple furnaces. Summary of the Invention

[0010] The technical problem to be solved by the present invention is to provide a furnace arrangement method, system and equipment based on the coordinated scheduling of new energy and grid power. The furnace arrangement method based on the coordinated scheduling of new energy and grid power can improve the efficiency of power scheduling and power supply stability.

[0011] To solve the above technical problems, the technical solution of the present invention is as follows:

[0012] A furnace arrangement method based on coordinated scheduling of new energy and grid power, comprising:

[0013] Obtaining new energy output data and grid power supply data;

[0014] Obtaining the total power according to the new energy output data and the grid power supply data;

[0015] Obtaining the power consumed by the operating furnaces during the production cycle;

[0016] Obtaining the available power according to the total power and the power consumed by the operating furnaces during the production cycle;

[0017] Scheduling the operating state of the furnaces according to the available power.

[0018] Optionally, obtaining the new energy output data includes:

[0019] According to P renewable (t) = P wind，umit (t) × W wind + P pv，unit (t) × W pv , obtaining the new energy output data;

[0020] Wherein, P renewable (t) is the total new energy power generation output at time t; W wind is the wind power installed capacity; W pv is the photovoltaic installed capacity; P wind，unit (t) is the wind power per unit value, indicating the unit installed capacity output ratio of wind power at time t; P pv，unit (t) is the photovoltaic per unit value, indicating the unit installed capacity output ratio of photovoltaic at time t.

[0021] Optionally, obtaining the grid power supply data includes:

[0022] According to Obtaining the grid power supply data;

[0023] Wherein, P grid (t) represents the grid power supply power at time t; P grid,min represents the minimum power supply power of the grid peak shaving space; P grid,max represents the maximum power supply power of the grid peak shaving space; P grid,m represents the power consumption of all furnaces.

[0024] Optionally, obtaining the total power according to the new energy output data and the grid power supply data includes:

[0025] According to P availableP(t) = P renewable (t) + P grid (t) to obtain the total power;

[0026] Among them, P available (t) represents the total power at time t, and P renewable (t) represents the total output of new energy power generation at time t; P grid (t) represents the power supply of grid power at time t.

[0027] Optionally, obtain the power in use of the operating furnaces during the production cycle, including:

[0028] The power demand of each furnace during the production cycle varies with different production stages. According to P furnace，k (t) = P k，c (t), obtain the power in use of the operating furnaces during the production cycle;

[0029] Among them, c = C - remainingtime(k), C represents the length of the production cycle, c represents the stage of furnace k in the production cycle, and P furnace，k (t) represents the power demand of furnace k at time t; P k，c (t) represents the power demand of furnace k in the c-th stage of the production cycle; remaining time(k) represents the remaining operating time of furnace k in the current production cycle.

[0030] Optionally, according to the total power and the power in use of the operating furnaces during the production cycle, obtain the available power, including:

[0031] According to Obtain the available power;

[0032] Among them, P remaining (t) represents the remaining available power at time t, P available (t) represents the total power at time t, and N furnace represents the number of furnaces currently in operation, and P furnace，k (t) represents the power demand of furnace k.

[0033] Optionally, according to the available power, schedule the operating status of the furnaces, including:

[0034] Obtain the power to be used of the non-operating furnaces;

[0035] According to the starting condition P remaining (t + δt) ≥ P future furnace , schedule the operating status of the furnaces;

[0036] Among them, P remaining (t) represents the remaining available power at time t, Pfuture furnace represents the power demand of the furnace at a future moment, and δt is a preset time period after time t.

[0037] An embodiment of the present invention also provides a computing device, including:

[0038] One or more processors;

[0039] A storage device for storing one or more programs, which when executed by the one or more processors cause the one or more processors to implement the furnace arrangement method based on the coordinated scheduling of new energy and grid power according to the present invention.

[0040] An embodiment of the present invention also provides a computer-readable storage medium for a computing device. A program is stored in the computer-readable storage medium for a computing device, and when the program is executed by a processor, it implements the furnace arrangement method based on the coordinated scheduling of new energy and grid power according to the present invention.

[0041] The above technical solution of the present invention has at least the following technical effects:

[0042] The above furnace arrangement method based on the coordinated scheduling of new energy and grid power according to the present invention obtains new energy output data and grid power supply data; obtains the total power according to the new energy output data and grid power supply data; obtains the power used by the operating furnaces during the production cycle; obtains the available power according to the total power and the power used by the operating furnaces during the production cycle; and schedules the operating status of the furnaces according to the available power. It can improve the efficiency of the coordinated scheduling of new energy and grid power and the power supply stability. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 is a schematic diagram of the furnace arrangement method based on the coordinated scheduling of new energy and grid power according to the present invention;

[0044] Figure 2 is a schematic diagram of the implementation process of the furnace arrangement method based on the coordinated scheduling of new energy and grid power according to the present invention;

[0045] Figure 3 is a schematic diagram of the modules of the furnace arrangement system based on the coordinated scheduling of new energy and grid power according to the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0046] Hereinafter, the exemplary embodiments of the present invention will be described in more detail with reference to the drawings. Although the exemplary embodiments of the present invention are shown in the drawings, it should be understood that the present invention can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided so that the present invention can be more thoroughly understood and the scope of the present invention can be completely conveyed to those skilled in the art.

[0047] As Figure 1As shown in the figure, an embodiment of the present invention provides a furnace arrangement method based on the collaborative scheduling of new energy and grid power, including:

[0048] Step S1, obtaining new energy output data and grid power supply data;

[0049] Step S2, obtaining the total power according to the new energy output data and grid power supply data;

[0050] Step S3, obtaining the power used by the operating furnaces during the production cycle;

[0051] Step S4, obtaining the available power according to the total power and the power used by the operating furnaces during the production cycle;

[0052] Step S5, scheduling the operating state of the furnaces according to the available power.

[0053] In this embodiment, as Figure 1 shown, in the furnace arrangement method based on the collaborative scheduling of new energy and grid power, first, new energy output data and grid power supply data are obtained. The new energy output data includes the output data of new energy power generation methods such as photovoltaic power generation and wind power generation. Secondly, the power supply characteristic of the ordinary power grid is to adjust the power supply capacity within a predetermined range. According to the new energy output data and grid power supply data, combined with the adjustable peak value of the grid power, the total power is obtained. Thirdly, the power demand of many high-energy-consuming devices (such as submerged arc furnaces and electric arc furnaces in the metallurgical industry) has strong periodicity, and usually requires a long production cycle to complete a certain process. In this embodiment, the available power is obtained by combining the total power with the power consumption of the operating furnaces at the stage of the production cycle. Finally, the furnaces to be operated are divided into different types. According to the power consumption requirements of different furnaces, comparing the available power, controlling the operating state of the furnaces, and scheduling the operating state of the furnaces.

[0054] The present invention aims at the complex problems in the multi-furnace arrangement scheduling, and provides a collaborative scheduling method of new energy and power grid based on a multi-hour production cycle. This method can not only consider the output fluctuations of new energy, but also ensure that the required power can be stably supplied at each moment when the power is insufficient, and at the same time achieve the efficient joint scheduling of multiple furnaces. The technical solution of the present invention provides a new scheduling strategy for high-energy-consuming devices in the industrial field.

[0055] Multi-furnace collaborative furnace arrangement: It refers to the reasonable scheduling according to factors such as power demand, energy supply, and the operating cycle of the furnace when multiple types of furnaces are operating in parallel, so as to ensure the efficient collaborative operation of multiple furnaces and meet the production requirements. Multi-hour production cycle: It means that the production process of the furnace takes multiple hours, rather than a single hourly time period. The operating cycle of each furnace spans multiple hours, involving power consumption requirements and status adjustments in different stages. This characteristic is different from the traditional single-hour matching method and emphasizes the regulation of power load during the long-term operation process. New energy and grid power collaborative scheduling: It refers to the coordination and optimization between new energy (such as wind power, photovoltaic power, etc.) and traditional grid power (such as grid electricity) in the system to ensure that the power demand during the production process is met with the support of different power sources. The scheduling strategy is optimized and matched according to the output of wind power and photovoltaic power and the supply of grid power.

[0056] In an alternative embodiment of the present invention, in step S1, obtaining the new energy output data includes:

[0057] Step S11, according to P renewable (t) = P wind，umit (t) × W wind +P pv，unit (t) × W pv , obtaining the new energy output data;

[0058] Wherein, P renewable (t) is the total new energy power generation output at time t; W wind is the wind power installed capacity; W pv is the photovoltaic installed capacity; P wind，unit (t) is the wind power per unit value, indicating the unit installed capacity output ratio of wind power at time t; P pv，unit (t) is the photovoltaic per unit value, indicating the unit installed capacity output ratio of photovoltaic power at time t.

[0059] In this embodiment, according to the wind power installed capacity connected to the grid and the wind power per unit value, the photovoltaic installed capacity and the photovoltaic per unit value, the new energy output data is obtained; the wind power and photovoltaic output are calculated according to their per unit values and installed capacities, respectively reflecting the power generation capacity of new energy at the current moment. The wind power per unit value represents the unit installed capacity output ratio of wind power, and the photovoltaic per unit value represents the unit installed capacity output ratio of photovoltaic power. The calculation formula is:

[0060] P renewable (t) = P wind，umit (t) × W wind +P pv，unit (t) × W pv

[0061] Wherein, P renewable(t) is the total output of new energy power generation at time t (unit: MW); W wind is the installed capacity of wind power (unit: MW); W pv is the installed capacity of photovoltaic power (unit: MW); P wind，unit (t) is the per-unit value of wind power, representing the per-unit installed capacity output ratio of wind power at time t; P pv，unit (t) is the per-unit value of photovoltaic power, representing the per-unit installed capacity output ratio of photovoltaic power at time t. Per-unit values of wind power and photovoltaic power output: The per-unit value (pu) is a ratio value used in the power system to represent the actual power relative to the rated power. The per-unit values of wind power and photovoltaic power output represent the ratio of the actual output capacity of wind energy and solar energy to their installed capacities.

[0062] In an optional embodiment of the present invention, in step S1, obtaining grid power supply data includes:

[0063] Step S12, according to obtain grid power supply data;

[0064] wherein, P grid (t) represents the power supply of grid power at time t; P grid,min represents the minimum power supply of the grid power peaking space; P grid,max represents the maximum power supply of the grid power peaking space; P grid,m represents the power consumption of all furnaces.

[0065] In this embodiment, since the grid power supply is restricted by the peaking space, the grid power supply needs to set the maximum power supply and the minimum power supply. The output value of the grid power supply remains within the adjustable peak value range. In the case of new energy fluctuations, in order to balance the power supply and demand, it is necessary to reasonably allocate the grid power supply. Grid minimum / maximum power supply (grid power supply): When the output of new energy is insufficient, the power grid will provide necessary supplementary power. The grid minimum power supply refers to the minimum power that the power grid can provide, while the maximum power supply refers to the maximum power that the power grid can provide. The grid power has a certain operating range rather than any arbitrary value to meet the grid peaking requirements.

[0066] If the sum of the new energy output data and the minimum value of the adjustable peak value of the grid power is greater than or equal to the current furnace demand power, that is, the minimum values of the new energy output and the grid power supply can meet the power consumption requirements of the furnace, then the grid power uses the minimum value of the adjustable peak value for power supply;

[0067] If the sum of the new energy output data and the minimum value of the adjustable peak of the grid power is less than the current power demand of the furnace, the grid power supplies electricity at the maximum value of the adjustable peak, but does not exceed the maximum value of the grid power supply. When the sum of the new energy output data and the maximum value of the adjustable peak of the grid power is less than the current power demand of the furnace, some furnaces need to be shut down; when the new energy output is large, only the minimum power supply of the grid power is used to avoid abandoning new energy; when the new energy output is insufficient, the maximum power supply of the grid power is called to supplement the power demand; the value-taking expression of the grid power supply data is:

[0068]

[0069] Among them, P grid (t) represents the power supply of the grid power at time t (unit: MW); P grid,min represents the minimum power supply of the grid power peaking space (unit: MW); P grid,max represents the maximum power supply of the grid power peaking space (unit: MW); P grid,m represents the power consumption of all furnaces (unit: MW).

[0070] In an optional embodiment of the present invention, in step S2, according to the new energy output data and the grid power supply data, the total power is obtained, including:

[0071] Step S21, according to P available (t) = P renewable (t) + P grid (t), the total power is obtained;

[0072] Among them, P available (t) represents the total power at time t, P renewable (t) represents the total output of new energy power generation at time t; P grid (t) represents the power supply of the grid power at time t.

[0073] In this embodiment, according to the obtained new energy output data and grid power supply data, the obtained new energy output data and grid power supply data are added to obtain the available total power for the furnace to operate, and the calculation formula is:

[0074] P available (t) = P renewable (t) + P grid (t)

[0075] Among them, P available (t) represents the total power at time t (unit: MW), P renewable (t) represents the total output of new energy power generation at time t (unit: MW); P grid (t) represents the power supply of the grid power at time t (unit: MW).

[0076] In an alternative embodiment of the present invention, in step S3, obtaining the in-use power of the operating furnace during the production cycle includes:

[0077] Step S31, the power demand of each furnace during the production cycle varies with different production stages. According to P furnace，k (t)=P k，c (t), obtain the in-use power of the operating furnace during the production cycle;

[0078] where c = C - remainingtime(k), C represents the length of the production cycle, c represents the stage of furnace k in the production cycle, P furnace，k (t) represents the power demand of furnace k at time t; P k，c (t) represents the power demand of furnace k in the c-th stage of the production cycle; remaining time(k) represents the remaining operating time of furnace k in the current production cycle.

[0079] In this embodiment, since the power demands of many high-energy-consuming devices (such as submerged arc furnaces and electric arc furnaces in the metallurgical industry) are strongly periodic and usually require a long production cycle to complete a certain process, the power demand of each furnace during the production cycle L varies with different production stages. The furnace type refers to different types of industrial furnaces, and each furnace has a different power demand curve (i.e., power curve) according to its working nature and design power. The power curve describes the power demand of the furnace at each time point during its production cycle; the production cycle refers to the time period from the start to the complete stop of the furnace, during which the power demand of the furnace changes. The production cycle of each furnace can last for several hours, and the furnace needs to be scheduled according to the load demand and power supply at different time periods. This embodiment calculates the power consumption of the furnace by statistically analyzing the power consumption of the operating furnace according to the stage of the production cycle it is in, and obtains the in-use power of the operating furnace; the value expression of the in-use power is:

[0080] P furnace，k (t)=P k，c (t)

[0081] where c = C - remainingtime(k), C represents the length of the production cycle, c represents the stage of furnace k in the production cycle, P furnace，k (t) represents the power demand of furnace k at time t (unit: MW); P k，c (t) represents the power demand of furnace k in the c-th stage of the production cycle (unit: MW); remaining time(k) represents the remaining operating time of furnace k in the current production cycle (unit: hour).

[0082] In an alternative embodiment of the present invention, in step S4, obtaining the available power according to the total power and the power in use of the operating furnace during the production cycle includes:

[0083] Step S41, according to obtain the available power;

[0084] wherein, P remaining (t) represents the remaining available power at time t, P available (t) represents the total power at time t, N furnace represents the number of furnaces currently in operation, P furnace，k (t) represents the power demand of furnace k.

[0085] In this embodiment, according to the obtained total power supply and the power in use of the operating furnace during the production cycle, subtract the power consumption of the operating furnace at the stage in the production cycle from the total power to obtain the available power; the calculation formula for the available power is:

[0086]

[0087] wherein, P remaining (t) represents the remaining available power at time t (unit: MW), P available (t) represents the total power at time t (unit: MW), N furnace represents the number of furnaces currently in operation, P furnace，k (t) represents the power demand of furnace k (unit: MW).

[0088] In an alternative embodiment of the present invention, in step S5, scheduling the operating state of the furnace according to the available power includes:

[0089] Step S51, obtaining the power to be used of the non-operating furnace;

[0090] Step S52, according to the starting condition P remaining (t + δt) ≥ P future furnace , schedule the operating state of the furnace;

[0091] wherein, P remaining (t) represents the remaining available power at time t, P future furnace represents the power demand of the furnace at a future time, and δt is a time period of a preset duration after time t.

[0092] In this embodiment, first, obtain the power consumption of the unoperated furnace to be used, and classify the unoperated furnaces into different types according to their power consumption. When the power consumption of a certain type is less than or equal to the available power, one furnace of this type can be started. After the furnace is started, its status will be updated to "operating", indicating that the furnace enters the operating state until its production cycle C is completed;

[0093] When the remaining available power P remaining (t) is greater than zero, try to start a new furnace. Assume that the power demand at furnace startup is P new furnace , then the startup condition is:

[0094] P remaining (t) ≥ P new furnace

[0095] In addition, to ensure power balance during the operation cycle of the furnace, it is necessary to check whether the power demand can be met at each future moment. During the scheduling process, power supply-demand balance means that the system ensures sufficient power supply and can meet the load demand at any moment. By reasonably scheduling the supply of new energy and grid power, as well as the operation of the furnace, ensure that the power demand at each moment does not exceed the supply capacity. Assume that the power demand at the future moment t + δt is P future furnace , then the startup condition is further:

[0096] P remaining (t + δt) ≥ P future furnace

[0097] Among them, P remaining (t) represents the remaining available power at moment t (unit: MW), P future furnace represents the power demand of the furnace at the future moment (unit: MW), and δt is the time period of the preset duration after moment t; Through the power demand prediction at the future moment, ensure that the power supply-demand balance will not be affected after the new furnace is started.

[0098] As Figure 2 shown, the following describes the specific implementation process of the above method of the present invention:

[0099] 1. Calculate the total output of new energy

[0100] Calculate the total output of new energy P renewable (t), and the calculation formula is

[0101] P renewable (t) = P wind，umit (t) × W wind + P pv，unit (t) × W pv

[0102] Among them:

[0103] Prenewable (t): Total output of new energy power generation at time t (unit: MW);

[0104] W wind : Wind power installed capacity (unit: MW);

[0105] W pv : Photovoltaic installed capacity (unit: MW);

[0106] P wind，unit (t): Per-unit value of wind power, representing the per-unit installed capacity output ratio of wind power at time t;

[0107] P pv，unit (t): Per-unit value of photovoltaic power, representing the per-unit installed capacity output ratio of photovoltaic power at time t;

[0108] The outputs of wind power and photovoltaic power are calculated based on their per-unit values and installed capacities, respectively reflecting the power generation capabilities of new energy at the current moment.

[0109] 2. Calculate grid power supply

[0110] Grid power supply is restricted by the peak shaving space. Under the condition of new energy fluctuations, in order to balance power supply and demand, the present invention reasonably distributes the grid power supply:

[0111]

[0112] Wherein:

[0113] P grid (t): Represents the power supply of grid power at time t (unit: MW);

[0114] P grid,min : Represents the minimum power supply of the grid power peak shaving space (unit: MW);

[0115] P grid,max : Represents the maximum power supply of the grid power peak shaving space (unit: MW);

[0116] P grid,m : Represents the power consumption of all furnaces (unit: MW);

[0117] When the output of new energy is large, only the minimum power supply of grid power is used to avoid abandoning new energy; when the output of new energy is insufficient, the maximum power supply of grid power is called to supplement the power demand.

[0118] 3. Calculate total available power

[0119] At each time t, the total available power is composed of the output of new energy and the grid power supply, and the calculation formula is as follows

[0120] P availabl e(t) = Prenewable (t) + P grid (t)

[0121] Where: P available (t): represents the total available power at time t (unit: MW).

[0122] 4. Calculate the operation requirements of the furnace

[0123] The power requirements of each furnace vary with different production stages within the production cycle C. Assume that for furnace k at stage c (remaining time is remaining time(k)) within production cycle C, its power requirement is:

[0124] P furnace，k (t) = P k，c (t), where c = C - remainingtime(k);

[0125] Where:

[0126] P furnace，k (t): represents the power requirement of furnace k at time t (unit: MW);

[0127] P k，c (t): represents the power requirement of furnace k at stage c of the production cycle (unit: MW);

[0128] remaining time(k): represents the remaining operating time of furnace k currently (unit: hours);

[0129] 5. Calculate the remaining available power

[0130] The remaining available power P remvaininu (t) is the total available power minus the power requirements of all currently operating furnaces:

[0131]

[0132] Where:

[0133] P remaining (t): the remaining available power at time t (unit: MW);

[0134] N furnace : the number of currently operating furnaces;

[0135] P furnace，k (t): the power requirement of furnace k (unit: MW);

[0136] 6. Conditions for starting a new furnace

[0137] When the remaining available power P remainingWhen (t) is greater than zero, attempt to start a new furnace. Assume the power demand at furnace startup is P new furnace , then the startup condition is:

[0138] P remaining (t) ≥ P new furnace

[0139] In addition, to ensure power balance during the furnace operation cycle, it is necessary to check whether the power demand can be met at each future moment. Assume the power demand at the future moment t + δt is P future furnace , then the startup condition is further:

[0140] P remaining (t + δt) ≥ P future furnace

[0141] Where:

[0142] P new furnace : represents the power demand at the startup of the new furnace (unit: MW);

[0143] P future furnace : represents the power demand of the furnace at the future moment (unit: MW);

[0144] δt: represents the time period of the preset duration after time t;

[0145] Through the prediction of the power demand at the future moment, ensure that the power supply and demand balance will not be affected after the new furnace is started.

[0146] 7. Update the furnace status

[0147] Whenever the furnace is started. Its status will be updated to "operating". Assume furnace k is started at time t.

[0148] Then

[0149] Status k.t = 1

[0150] Indicates that the furnace enters the operating state until its production cycle C is completed.

[0151] 8. Rotating startup strategy for furnace types

[0152] The present invention adopts a rotating scheduling method to sequentially attempt to start furnaces of different types. The specific steps are as follows:

[0153] (1) Rotate to select furnace types: According to the preset rotation order, sequentially attempt to start furnaces of each type.

[0154] (2) Attempt to start the furnace: For each furnace type, check whether it meets the startup conditions, including the remaining power at the current moment and the power balance in the future period.

[0155] (3) Ensure no power waste: If a certain type of furnace has insufficient power, try to start the next type of furnace to avoid power waste.

[0156] (4) Update the furnace status and remaining power: After successfully starting the furnace, update its status, production cycle, and remaining power.

[0157] The key technical problems to be solved by the present invention are as follows:

[0158] By arranging the furnaces through the coordinated scheduling of new energy and grid power, the lack of furnace arrangement scheduling caused by the introduction of new energy is solved. Although new energy power (such as wind power and photovoltaic power) is gradually introduced into industrial production, there is currently a lack of a mature furnace arrangement scheme, and it is impossible to solve the power supply and demand matching between new energy fluctuations and load production, especially the coordination problem of multiple furnaces during long production cycles. The technical solution proposed by the present invention can effectively solve the joint scheduling problem of multiple high-energy-consuming devices (such as multiple furnaces) during power fluctuations. Through the coordinated scheduling of the operating states of multiple furnaces, it can ensure the stable operation of each furnace under different power supply conditions, and minimize power waste and production interruptions to the greatest extent.

[0159] By pre-calculating the power supply capacity of green new energy power and the periodic power consumption requirements of the furnace, the adaptation problem between green power volatility and long-cycle furnace scheduling is solved. Traditional furnace arrangement methods usually rely on short-time (such as single-hour) scheduling mechanisms and cannot effectively handle the changes in power demand during the long-cycle (usually several hours) operation of the furnace. The present invention specifically proposes a scheduling strategy adapted to the power grid and new energy power generation for the long-cycle production characteristics of high-energy-consuming devices. During the long-cycle production process of the furnace, it can be dynamically adjusted according to the new energy output and the power grid peak shaving capacity to ensure stable power supply and avoid furnace shutdown or overload caused by new energy fluctuations. The multi-hour production cycle scheduling method proposed by the present invention can achieve the efficient matching of new energy and grid power throughout the furnace production cycle, thus avoiding furnace shutdown due to insufficient power and ensuring the stability of the production process.

[0160] In actual industrial production, there is a lack of a mature method for the coordinated furnace arrangement scheduling of multiple furnaces. Multiple furnaces usually have different power demands at different time periods, and the furnace arrangement scheduling of the multi-furnace system needs to be coordinated. The method of the present invention can ensure that when the new energy output changes, it can not only meet the production needs of all furnaces but also avoid unnecessary power waste.

[0161] The problem of coordinated scheduling between grid power and new energy is solved. When new energy is insufficient, the power grid needs to provide supplementary power. However, due to the limitations of grid resources, how to reasonably allocate the power supply between the power grid and new energy according to the maximum and minimum power supply intervals of the power grid to ensure the stability of industrial production and the efficient utilization of energy is still a difficult problem that cannot be effectively solved by the existing technologies; the present invention comprehensively considers the scheduling characteristics of grid power and new energy power generation. When new energy is insufficient, by reasonably adjusting the grid power for supplementation while ensuring that the furnace production is not affected, efficient coordinated scheduling between new energy and the grid is achieved. This not only reduces the peak shaving pressure on the power grid but also improves the utilization efficiency of new energy and maximizes the substitution of green power.

[0162] The present invention solves the above problems by proposing a multi-furnace charging method for coordinated scheduling of new energy and grid power based on a multi-hour production cycle. Through innovative intelligent scheduling technology, the method realizes the prediction of the power supply of new energy power. Under the condition of unstable new energy, the coordinated charging scheduling of multiple furnaces within a long cycle not only ensures the continuous operation of the furnaces but also can make full use of the green power of new energy, reduce carbon emissions and lower energy costs.

[0163] As Figure 3 shown, an embodiment of the present invention further provides a charging system 30 for coordinated scheduling of new energy and grid power, including:

[0164] An acquisition module 31, configured to acquire new energy output data and grid power supply data;

[0165] A processing module 32, configured to obtain the total power according to the new energy output data and the grid power supply data; acquire the power in use of the operating furnaces during the production cycle; obtain the available power according to the total power and the power in use of the operating furnaces during the production cycle; and schedule the operating state of the furnaces according to the available power.

[0166] Optionally, acquiring the new energy output data includes:

[0167] According to P renewable (t) = P wind，umit (t) × W wind + P pv，unit (t) × W pv , acquire the new energy output data;

[0168] wherein, P renewable (t) is the total new energy power generation output at time t; W wind is the wind power installed capacity; W pv is the photovoltaic installed capacity; P wind，unit (t) is the per-unit value of wind power, representing the per-unit installed capacity output ratio of wind power at time t; P pv，unit(t) is the per-unit value of photovoltaic power, representing the per-unit installed capacity output ratio of photovoltaic power at time t.

[0169] Optionally, obtain grid power supply data, including:

[0170] According to Obtain grid power supply data;

[0171] Among them, P grid (t) represents the grid power supply at time t; P grid,min represents the minimum power supply of the grid peaking space; P grid,max represents the maximum power supply of the grid peaking space; P grid,m represents the power consumption of all furnaces.

[0172] Optionally, according to the new energy output data and grid power supply data, obtain the total power, including:

[0173] According to P available (t) = P renewable (t) + P grid (t), obtain the total power;

[0174] Among them, P available (t) represents the total power at time t, P renewable (t) represents the total new energy power generation output at time t; P grid (t) represents the grid power supply at time t.

[0175] Optionally, obtain the power consumption of operating furnaces during the production cycle, including:

[0176] The power demand of each furnace during the production cycle varies with the production stage. According to P furnace，k (t) = P k，c (t), obtain the power consumption of operating furnaces during the production cycle;

[0177] Among them, c = C - remainingtime(k), C represents the production cycle length, c represents the stage of furnace k in the production cycle, P furnace，k (t) represents the power demand of furnace k at time t; P k，c (t) represents the power demand of furnace k at the c-th stage of the production cycle; remaining time(k) represents the remaining operating time of furnace k in the current production cycle.

[0178] Optionally, according to the total power and the power consumption of operating furnaces during the production cycle, obtain the available power, including:

[0179] According to Obtain the available power;

[0180] Among them, P remaining (t) represents the remaining available power at time t, and P available (t) represents the total power at time t, and N furnace represents the number of furnaces currently in operation, and P furnace，k (t) represents the power demand of furnace k.

[0181] Optionally, according to the available power, schedule the operating states of the furnaces, including:

[0182] Obtain the standby power consumption of the non-operating furnaces;

[0183] According to the startup condition P remaining (t + δt) ≥ P future furnace , schedule the operating states of the furnaces;

[0184] Among them, P remaining (t) represents the remaining available power at time t, and P future furnace represents the power demand of the furnace at a future time, and δt is a time period of a preset duration after time t.

[0185] It should be noted that all the implementation manners in the above method embodiments are applicable to the embodiments of the device, and can also achieve the same technical effects.

[0186] An embodiment of the present invention further provides a computing device, including: one or more processors; a storage device for storing one or more programs, when the one or more programs are executed by the one or more processors, enabling the one or more processors to implement the furnace scheduling method based on the coordinated scheduling of new energy and grid power according to the present invention. All the implementation manners in the above method embodiments are applicable to the embodiments of the readable storage medium of the computing device, and can also achieve the same technical effects.

[0187] An embodiment of the present invention further provides a readable storage medium of a computing device, in which a program is stored, and when the program is executed by a processor, it implements the furnace scheduling method based on the coordinated scheduling of new energy and grid power according to the present invention. All the implementation manners in the above method embodiments are applicable to the embodiments of the readable storage medium of the computing device, and can also achieve the same technical effects.

[0188] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or by a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present invention.

[0189] Those skilled in the art can clearly understand that for the convenience and conciseness of description, the specific working processes of the systems, devices, and units described above can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated herein.

[0190] In the embodiments provided by the present invention, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections between each other can be through some interfaces. The indirect couplings or communication connections of devices or units can be in electrical, mechanical, or other forms.

[0191] The units described as separate components may or may not be physically separated. The components displayed as units may or may not be physical units, that is, they can be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0192] In addition, in each embodiment of the present invention, the functional units can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit.

[0193] If the functions are implemented in the form of software function units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods in each embodiment of the present invention. The foregoing storage medium includes: various media such as USB flash drives, mobile hard disks, ROM, RAM, magnetic disks, or optical discs that can store program codes.

[0194] In addition, it should be noted that in the device and method of the present invention, obviously, each component or each step can be decomposed and / or recombined. These decompositions and / or recombinations should be regarded as equivalent solutions of the present invention. Moreover, the steps of performing the above series of processes can naturally be executed in chronological order according to the described order, but it is not necessary to be executed in chronological order. Some steps can be executed in parallel or independently of each other. For those of ordinary skill in the art, it is understandable that all or any steps or components of the method and device of the present invention can be implemented in any computing device (including processors, storage media, etc.) or a network of computing devices in the form of hardware, firmware, software, or a combination thereof, which can be achieved by those of ordinary skill in the art using their basic programming skills after reading the description of the present invention.

[0195] Therefore, the object of the present invention can also be achieved by running a program or a set of programs on any computing device. The computing device can be a well-known general-purpose device. Therefore, the object of the present invention can also be achieved only by providing a program product containing program codes for implementing the method or device. That is to say, such a program product also constitutes the present invention, and the storage medium storing such a program product also constitutes the present invention. Obviously, the storage medium can be any well-known storage medium or any storage medium developed in the future. It should also be noted that in the device and method of the present invention, obviously, each component or each step can be decomposed and / or recombined. These decompositions and / or recombinations should be regarded as equivalent solutions of the present invention. Moreover, the steps of performing the above series of processes can naturally be executed in chronological order according to the described order, but it is not necessary to be executed in chronological order. Some steps can be executed in parallel or independently of each other.

[0196] The above is the preferred embodiment of the present invention. It should be noted that for those of ordinary skill in the art, without departing from the principle described in the present invention, several improvements and refinements can be made, and these improvements and refinements should also be regarded as the protection scope of the present invention.

Claims

1. A method for discharging boilers based on coordinated dispatch of new energy and grid electricity, characterized in that: include: Obtain new energy output data and grid power supply data; Obtaining total power according to the renewable energy output data and grid power supply data; Obtain the electricity used to operate the furnace during the production cycle; Obtaining available power according to the total power and the power used by the operating furnace during the production cycle; The operation status of the furnace is scheduled according to the available power.

2. The method for discharging furnaces based on coordinated dispatch of new energy and grid electricity according to claim 1 is characterized in that: Obtain new energy output data, including: According to P renewable (t) = P wind，umit (t)×W wind +P pv，unit (t)×W pv , obtain new energy output data; Among them, P renewable (t) is the total output of renewable energy power generation at time t; W wind is wind power installed capacity; W pv is the photovoltaic installed capacity; P wind，unit (t) is the wind power per unit value, which indicates the unit installed capacity output ratio of wind power at time t; P pv，unit (t) is the photovoltaic per unit value, which represents the unit installed capacity output ratio of photovoltaic at time t.

3. The method for discharging boilers based on coordinated dispatch of new energy and grid electricity according to claim 1 is characterized in that: Obtain grid power supply data, including: according to Obtain grid power supply data; Among them, P grid (t) represents the power supply of the grid at time t; P grid,min Indicates the minimum power supply power of the grid power peak load regulation space; P grid,max Indicates the maximum power supply power of the grid power peak load regulation space; P grid,m Indicates the electrical power used by all furnaces.

4. The method for discharging furnaces based on coordinated dispatch of new energy and grid electricity according to claim 1 is characterized in that: According to the renewable energy output data and grid power supply data, the total power is obtained, including: According to P available (t) = P renewable (t)+P grid (t), get the total power; Among them, P available (t) represents the total power at time t, P renewable (t) represents the total output of renewable energy power generation at time t; P grid (t) represents the grid power supply power at time t.

5. The method for discharging furnaces based on coordinated dispatch of new energy and grid electricity according to claim 1 is characterized in that: Get the electricity used to run the furnace during the production cycle, including: The power demand of each furnace during the production cycle will vary with the different production stages. furnace，k (t) = P k，c (t), obtain the electricity used to operate the furnace during the production cycle; Where c = C-remainingtime(k), C represents the length of the production cycle, c represents the stage of furnace k in the production cycle, P furnace，k (t) represents the power demand of furnace k at time t; P k，c (t) represents the power demand of furnace k in the cth stage of the production cycle; remainingtime(k) represents the remaining operating time of furnace k in the current production cycle.

6. The method for discharging furnaces based on coordinated dispatch of new energy and grid electricity according to claim 1 is characterized in that: Based on the total power and the power used to operate the furnace during the production cycle, the available power is obtained, including: according to Get available electricity; Among them, P remaining (t) represents the remaining available power at time t, P available (t) represents the total power at time t, N furnace Indicates the number of furnaces currently in operation, P furnace，k (t) represents the power demand of furnace k.

7. The method for discharging furnaces based on coordinated dispatch of new energy and grid electricity according to claim 6 is characterized in that: According to the available power, the operation state of the furnace is scheduled, including: Obtaining standby electrical power for furnaces that are not in operation; According to the starting condition P remaining (t+δt)≥P future furnace , schedule the operation status of the furnace; Among them, P remaining (t) represents the remaining available power at time t, P future furnace It represents the power demand of the furnace at a future moment, and δt is the time period of a preset length after moment t.

8. A boiler discharge system based on coordinated dispatch of new energy and grid electricity, characterized in that: include: Acquisition module, used for renewable energy output data and grid power supply data; A processing module, used for obtaining total power according to the renewable energy output data and grid power supply data; Obtain the electricity used to operate the furnace during the production cycle; Obtaining available power according to the total power and the power used by the operating furnace during the production cycle; The operation status of the furnace is scheduled according to the available power.

9. A computing device, characterized in that include: one or more processors; A storage device for storing one or more programs, when the one or more programs are executed by the one or more processors, the one or more processors implement the method as claimed in any one of claims 1 to 7.

10. A computing device readable storage medium, characterized in that: The computing device readable storage medium stores a program, which implements the method according to any one of claims 1 to 7 when executed by a processor.

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