A boiler dispatching method, system and equipment based on coordinated dispatch of new energy and grid electricity

Abstract

The present invention provides a furnace scheduling method, system, and equipment based on the coordinated scheduling of renewable energy and grid electricity. The method includes: obtaining renewable energy output data and grid electricity supply data; obtaining total power based on the renewable energy output data and grid electricity supply data; obtaining the power used by the operating furnace during the production cycle; obtaining available power based on the total power and the power used by the operating furnace during the production cycle; and scheduling the operating status of the furnace based on the available power. The present invention can improve the efficiency of the coordinated scheduling of renewable energy and grid electricity and the stability of power supply.

Description

Technical Field

[0001] The present invention relates to the technical field of power dispatching, and in particular to a boiler dispatching method, system and equipment based on coordinated dispatching of new energy and grid power. Background Art

[0002] As the global transition to green energy accelerates, renewable energy sources such as wind power and photovoltaics are becoming increasingly important alternatives to traditional energy sources. This is particularly true in the industrial sector, where more and more companies are relying on green electricity to reduce carbon emissions, lower energy costs, and promote sustainable development. However, the intermittent and volatile nature of green electricity, particularly the uncertainty of wind and photovoltaic generation, poses significant challenges to power dispatch.

[0003] Traditional power dispatch methods are primarily based on stable and reliable traditional energy sources such as coal, electricity, and natural gas, which have a relatively stable supply. However, with the addition of new energy sources, the volatility of power supply requires corresponding adjustments to dispatch methods to ensure stable power demand and supply. Green power substitution refers to the use of clean energy (such as wind power and photovoltaics) to replace traditional fossil energy to achieve sustainable and environmentally friendly production processes. Green power substitution requires the coordinated dispatch of new energy sources to reduce dependence on traditional electricity and promote green production.

[0004] In the industrial sector, many high-energy-consuming equipment (such as submerged arc furnaces and electric arc furnaces in the metallurgical industry) has highly cyclical power demand and often requires long production cycles to complete a specific process. Therefore, how to rationally schedule multiple furnaces for discharge operations by combining the power grid with renewable energy supply has become a pressing challenge.

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

[0006] Currently, there is no mature boiler scheduling solution to solve this type of problem. There are some technical solutions that attempt to solve the problem of new energy scheduling, mainly power scheduling solutions based on energy storage. Energy storage technology is often used to balance the mismatch between power supply and demand, especially when new energy fluctuates greatly. Some existing power scheduling solutions are combined with energy storage equipment, using energy storage systems to store electricity when there is excess power generation from new energy and release energy when power generation is insufficient. However, the focus of these solutions is still on the load balancing of a single device. There is a lack of effective solutions for the coordinated scheduling of multiple furnaces over a longer period of time, and how to reasonably coordinate the power scheduling between the power grid and new energy. In addition, the energy storage capacity is limited and cannot solve the fundamental problem. The defects of the existing technology are mainly manifested in the following aspects:

[0007] 1. The gap between single-device scheduling and coordinated scheduling of multiple devices: Existing scheduling solutions typically focus on optimizing the scheduling of a single device (such as a single furnace or power generation unit) and lack strategies for coordinated scheduling of multiple high-energy-consuming devices (such as multiple furnaces). In actual industrial production, the simultaneous operation of multiple furnaces is very common, but existing technologies fail to effectively coordinate the coordinated operation of these devices during power fluctuations, resulting in inaccurate scheduling and energy waste.

[0008] 2. Ignoring Long-Cycle Production Characteristics: Traditional scheduling schemes are mostly based on short-cycle (e.g., hourly) power matching and fail to fully consider the needs of long-cycle equipment in industrial production. This is particularly true for high-energy-consuming equipment such as submerged arc furnaces and electric arc furnaces, whose production cycles often stretch for several hours or even longer. Existing schemes fail to effectively integrate renewable energy fluctuations with the operating characteristics of these long-cycle production equipment, leading to power shortages or furnace downtime when renewable energy output fluctuates.

[0009] 3. Lack of a coordinated dispatch mechanism for renewable energy and the power grid: Existing dispatch methods mostly focus on dispatching a single power source (such as the power grid or renewable energy generation), but lack solutions for coordinating dispatch with the power grid when renewable energy output is insufficient. In particular, many regions restrict the conditions for peak-shaving of the power grid, making it impossible to fill the power gap at any time, and only providing a fixed peak-shaving space. Especially when renewable energy is highly volatile, the coordination between the flexibility of grid dispatch and power demand becomes a problem. Existing technologies have failed to effectively resolve the coordination conflict between the power grid and renewable energy generation, and are unable to stably provide 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 method, system and equipment for scheduling boilers based on the coordinated scheduling of renewable energy and grid electricity. The method for scheduling boilers based on the coordinated scheduling of renewable energy and grid electricity can improve the efficiency of power scheduling and the stability of power supply.

[0011] In order to solve the above technical problems, the technical solutions of the present invention are as follows:

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

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

[0014] Obtaining total power based on the renewable energy output data and grid power supply data;

[0015] Obtain the electricity used to operate the furnace during the production cycle;

[0016] Obtaining available power based on the total power and the power used by the operating furnace during the production cycle;

[0017] The operation status of the furnace is scheduled according to the available power.

[0018] Optionally, obtain new energy output data, including:

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

[0020] Among them, P renewable (t) is the total output of renewable energy power generation at time t; W wind is the installed capacity of wind power; W pv is the photovoltaic installed capacity; P wind，unit (t) is the per-unit value of wind power, which represents the unit installed capacity output ratio of wind power at time t; P pv，unit (t) is the per unit value of photovoltaic power, which represents the unit installed output ratio of photovoltaic power at time t.

[0021] Optionally, obtain grid power supply data, including:

[0022] according to Obtain grid power supply data;

[0023] Among them, P grid (t) represents the grid power supply power at time t; P grid,min Indicates the minimum power supply power of the grid power peak regulation space; P grid,max Indicates the maximum power supply power of the grid peak load regulation space; P grid,m Indicates the electrical power used by all furnaces.

[0024] Optionally, the total power is obtained according to the renewable energy output data and the grid power supply data, including:

[0025] According to P available(t) = P renewable (t)+P grid (t), get the total power;

[0026] 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.

[0027] Optionally, obtain the electricity used to operate the furnace during the production cycle, including:

[0028] The power demand of each furnace in 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;

[0029] 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; remaining time (k) represents the remaining operating time of furnace k in the current production cycle.

[0030] Optionally, the available power is obtained based on the total power and the power used by the furnace during the production cycle, including:

[0031] according to Get available electricity;

[0032] 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.

[0033] Optionally, scheduling the operation state of the furnace according to the available power includes:

[0034] Get the standby electric power of the furnace that is not running;

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

[0036] Among them, P remaining (t) represents the remaining available power at time t, Pfuture 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.

[0037] An embodiment of the present invention further provides a computing device, comprising:

[0038] one or more processors;

[0039] A storage device is used to store 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 boiler scheduling method based on coordinated scheduling of new energy and grid power as described in the present invention.

[0040] An embodiment of the present invention also provides a computing device readable storage medium, in which a program is stored. When the program is executed by a processor, the boiler scheduling method based on coordinated scheduling of new energy and grid power described in the present invention is implemented.

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

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

[0043] Figure 1 This is a schematic diagram of the boiler dispatching method based on the coordinated scheduling of new energy and grid electricity of the present invention;

[0044] Figure 2 This is a schematic diagram of the implementation process of the boiler dispatching method based on the coordinated scheduling of new energy and grid electricity of the present invention;

[0045] Figure 3 It is a module schematic diagram of the boiler discharge system based on the coordinated scheduling of new energy and grid electricity of the present invention. DETAILED DESCRIPTION

[0046] Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present invention are shown in the accompanying 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. Rather, these embodiments are provided to enable a more thorough understanding of the present invention and to fully convey the scope of the present invention to those skilled in the art.

[0047] like Figure 1As shown, an embodiment of the present invention proposes a method for dispatching furnaces based on coordinated 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 total power according to the renewable energy output data and grid power supply data;

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

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

[0052] Step S5: scheduling the operation status of the furnace according to the available power.

[0053] In this embodiment, Figure 1 As shown, in the furnace scheduling method based on the coordinated scheduling of new energy and grid power, first, the new energy output data and grid power supply data are obtained, and the new energy output data includes the output data of new energy power generation modes such as photovoltaic power generation and wind power generation; secondly, the power supply characteristics of the ordinary power grid are to adjust the power supply capacity within a predetermined range, and the total power is obtained according to the new energy output data and grid power supply data, combined with the adjustable peak value of the grid power; thirdly, many high-energy consumption equipment (such as ore-arcing furnaces and electric arc furnaces in the metallurgical industry) have a strong periodicity in demand for electricity, and usually require a long production cycle to complete a certain process. In this embodiment, the electricity consumption of the operating furnace is combined with the total power according to the stage of the production cycle in which the furnace is in operation to obtain the available power; finally, the furnaces to be operated are divided into different types, and the available power is compared according to the electricity demand of different furnaces, the operating status of the furnace is controlled, and the operating status of the furnace is scheduled.

[0054] This paper addresses the complexities of multi-furnace scheduling by proposing a coordinated scheduling method for renewable energy and the power grid based on a multi-hour production cycle. This method not only accounts for fluctuations in renewable energy output but also ensures a stable supply of required power at all times during power shortages, while also enabling efficient coordinated scheduling of multiple furnaces. This technical solution provides a new scheduling strategy for high-energy-consuming equipment in the industrial sector.

[0055] Multi-furnace coordinated scheduling: refers to the reasonable scheduling of multiple types of furnaces based on factors such as power demand, energy supply, and furnace operating cycle when running in parallel, to ensure that multiple furnaces can operate efficiently and collaboratively to meet production requirements. Multi-hour production cycle: refers to the fact that the production process of a furnace takes multiple hours, rather than a single hourly time period. The operating cycle of each furnace spans multiple hours, involving power demand and status adjustments at different stages. This feature is different from the traditional single-hour matching method and emphasizes the regulation of power load during long-term operation. Coordinated scheduling of new energy and grid power: refers to the simultaneous consideration of the coordination and optimization between new energy (such as wind power, photovoltaics, etc.) and traditional grid power (such as grid power) in the system to ensure that the power demand in the production process is met with the support of different power sources. The scheduling strategy optimizes the matching between the output of wind power and photovoltaics and the supply of grid power.

[0056] In an optional embodiment of the present invention, in step S1, obtaining 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 , obtain new energy output data;

[0058] Among them, P renewable (t) is the total output of renewable energy power generation at time t; W wind is the installed capacity of wind power; W pv is the photovoltaic installed capacity; P wind，unit (t) is the per-unit value of wind power, which represents the unit installed capacity output ratio of wind power at time t; P pv，unit (t) is the per unit value of photovoltaic power, which represents the unit installed output ratio of photovoltaic power at time t.

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

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

[0061] Among them, P renewable(t) is the total output of renewable energy power generation at time t (unit: MW); W wind is the installed capacity of wind power (unit: MW); W pv is the photovoltaic installed capacity (unit: MW); P wind，unit (t) is the per-unit value of wind power, which represents the unit installed capacity output ratio of wind power at time t; P pv，unit (t) is the per-unit photovoltaic value, representing the percentage of installed photovoltaic power output at time t. Per-unit wind and photovoltaic output: The per-unit value (pu) is a value used in power systems to express the ratio of actual power to rated power. The per-unit wind and photovoltaic output values ​​represent the ratio of actual wind and solar power output to their installed capacity.

[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] Among them, P grid (t) represents the grid power supply power at time t; P grid,min Indicates the minimum power supply power of the grid power peak regulation space; P grid,max Indicates the maximum power supply power of the grid peak load regulation space; P grid,m Indicates the electrical power used by all furnaces.

[0065] In this embodiment, since the grid power supply is limited by the peak shaving space, the grid power supply needs to set the maximum power supply power and the minimum power supply power. The output value of the grid power supply is kept within the range of the adjustable peak value. In the case of fluctuations in renewable energy, in order to balance the supply and demand of electricity, the grid power supply needs to be reasonably allocated. Grid power minimum / maximum power supply (grid power supply): When the output of renewable energy is insufficient, the grid will provide the necessary supplementary power. The minimum power supply power of the grid refers to the minimum power that the grid can provide, and the maximum power supply power refers to the maximum power that the grid can provide. The grid power has a certain operating range rather than an arbitrary value to meet the peak shaving requirements of the grid.

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

[0067] If the sum of the renewable energy output data and the minimum value of the grid power adjustable peak value is less than the current furnace power demand, the grid power adopts the maximum value of the adjustable peak value for power supply, but cannot exceed the maximum value of the grid power supply. When the sum of the renewable energy output data and the maximum value of the grid power adjustable peak value is less than the current furnace power demand, some furnaces need to be shut down. When the renewable energy output is large, only the minimum power supply of the grid power is used to avoid the abandonment of renewable energy power. When the renewable energy output is insufficient, the maximum power supply of the grid power is called to supplement the power demand. The value expression of the grid power supply data is:

[0068]

[0069] Among them, P grid (t) represents the grid power supply power at time t (unit: MW); P grid,min Indicates the minimum power supply power of the grid peak load regulation space (unit: MW); P grid,max Indicates the maximum power supply power of the grid power peak regulation space (unit: MW); P grid,m Indicates the electrical power consumed by all furnaces (unit: MW).

[0070] In an optional embodiment of the present invention, in step S2, obtaining the total power according to the renewable energy output data and the grid power supply data includes:

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

[0072] 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.

[0073] In this embodiment, the obtained renewable energy output data and grid power supply data are added together to obtain the total available power for furnace operation. 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 renewable energy power generation at time t (unit: MW); P grid (t) represents the grid power supply power at time t (unit: MW).

[0076] In an optional embodiment of the present invention, in step S3, obtaining the power used by the operating furnace during the production cycle includes:

[0077] Step S31: The power requirement of each furnace in 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;

[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 cth 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 demand for electricity of many high-energy-consuming equipment (such as ore-arc furnaces and electric arc furnaces in the metallurgical industry) is highly cyclical, and a longer production cycle is usually required to complete a certain process, the power demand of each furnace within the production cycle L will vary with the 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 electricity 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 will change. The production cycle of each furnace can last for multiple hours, and the furnace needs to be scheduled according to load demand and power supply in different time periods. In this embodiment, the power consumption of the furnace is counted according to the power consumption of the stage of the production cycle in which the furnace is running, and the power in use of the running furnace is obtained; the value expression of the power in use 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 stage c of the production cycle (unit: MW); remaining time (k) represents the remaining operating time of furnace k in the current production cycle (unit: hours).

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

[0083] Step S41, according to Get available electricity;

[0084] 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.

[0085] In this embodiment, based on the obtained total power supply and the power used by the operating furnace during the production cycle, the power used by the operating furnace at the stage in the production cycle is subtracted from the total power to obtain the available power. The calculation formula for the available power is:

[0086]

[0087] Among them, 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 Indicates the number of furnaces currently in operation, P furnace，k (t) represents the power demand of furnace k (unit: MW).

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

[0089] Step S51, obtaining the standby power of the furnace that is not in operation;

[0090] Step S52: According to the starting condition P remaining (t+δt)≥P future furnace , schedule the operation status of the furnace;

[0091] 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.

[0092] In this embodiment, the standby power of the inoperative furnaces is first obtained, and the inoperative furnaces are classified 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, a furnace of that type can be started. After the furnace is started, its status is 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 When (t) is greater than zero, try to start a new furnace. Assume that the power demand when the furnace starts is P new furnace , the starting conditions are:

[0094] P remaining (t)≥P new furnace

[0095] In addition, to ensure power balance during the furnace's operating cycle, it is necessary to check whether power demand can be met at each moment in the future. In the scheduling process, power supply and demand balance means that the system ensures sufficient power supply and can meet load demand at any time. By rationally scheduling the supply of renewable energy and grid power, as well as the operation of the furnace, it is ensured that power demand at each moment does not exceed the supply capacity. Assume that the power demand at the future time t+δt is P future furnace , then the starting conditions are further:

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

[0097] Among them, P remaining (t) represents the remaining available power at time t (unit: MW), P future furnace represents the power demand of the furnace at a future time (unit: MW), and δt is the preset time period after time t. By predicting the power demand at a future time, it is ensured that the power supply and demand balance will not be affected after the new furnace is started.

[0098] like Figure 2 As shown, the specific implementation process of the above method of the present invention is described below:

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

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

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

[0102] in:

[0103] Prenewable (t): total output of renewable 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): wind power per unit value represents the unit installed capacity output ratio of wind power at time t;

[0107] P pv，unit (t): PV per unit value, indicating the unit installed output ratio of PV at time t;

[0108] Wind power and photovoltaic output are calculated based on their per-unit values ​​and installed capacities, respectively reflecting the power generation capacity of new energy at the current moment.

[0109] 2. Calculate grid power supply

[0110] Grid power supply is limited by peak load regulation. In order to balance power supply and demand under the fluctuation of renewable energy, the present invention reasonably distributes grid power supply:

[0111]

[0112] in:

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

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

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

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

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

[0118] 3. Calculate total available power

[0119] At each time t, the total available power is composed of the sum of the output of renewable 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 furnace operating requirements

[0123] The power demand of each furnace in the production cycle C varies with the production stage. Assuming that furnace k is in the cth stage of the production cycle C (the remaining time is remaining time(k)), its power demand is:

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

[0125] in:

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

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

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

[0129] 5. Calculate remaining available power

[0130] Remaining available power P remvaininu (t) is the total available electricity minus the power demand of all currently operating furnaces:

[0131]

[0132] in:

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

[0134] N furnace : The number of furnaces currently running;

[0135] P furnace，k (t): power demand 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, try to start a new furnace. Assume that the power demand when the furnace starts is P new furnace , the starting conditions are:

[0138] P remaining (t)≥P new furnace

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

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

[0141] in:

[0142] P new furnace : Indicates the power requirement when a new furnace is started (unit: MW);

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

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

[0145] By forecasting electricity demand at future times, we can ensure that the start-up of the new furnace will not affect the balance of electricity supply and demand.

[0146] 7. Update furnace status

[0147] Whenever a furnace is started, its status is updated to "Running". Suppose furnace k is started at time t.

[0148] but

[0149] Status k.t =1

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

[0151] 8. Rotational start strategy for furnace types

[0152] The present invention adopts a rotation scheduling method to try to start different types of furnaces in turn. The specific steps are as follows:

[0153] (1) Select furnace types in turn: try to start each type of furnace in turn according to the preset rotation order.

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

[0155] (3) Ensure that electricity is not wasted: If a certain type of furnace is running low on power, try starting the next type of furnace to avoid wasting electricity.

[0156] (4) Update furnace status and remaining power: After the furnace is successfully started, its status, production cycle and remaining power are updated.

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

[0158] By scheduling boilers through coordinated scheduling of new energy and grid electricity, the lack of boiler scheduling caused by the introduction of new energy is solved. Although new energy electricity (such as wind power and photovoltaics) is gradually introduced into industrial production, there is currently a lack of mature boiler scheduling solutions, which cannot solve the power supply and demand matching between new energy fluctuations and load production, especially the coordination problem of multiple furnaces in a long production cycle; the technical solution proposed in the present invention can effectively solve the joint scheduling problem of multiple high-energy consumption equipment (such as multiple furnaces) during power fluctuations. By coordinating the operating status of multiple furnaces, it can ensure the stable operation of each furnace under different power supply conditions, thereby minimizing power waste and production interruptions.

[0159] By precalculating the power supply capacity of green renewable energy and the periodic power demand of the furnace, the adaptation problem of green power volatility and long-cycle scheduling of the furnace is solved. The traditional furnace scheduling method is usually based on a short-time (such as a single hour) scheduling mechanism, which cannot effectively cope with the changes in power demand during the long-cycle (usually several hours) operation of the furnace. The present invention is specifically aimed at the long-cycle production characteristics of high-energy consumption equipment, and proposes a scheduling strategy that is compatible with the power grid and renewable energy power generation. During the long-cycle production process of the furnace, dynamic adjustments can be made according to the output of renewable energy and the peak-shaving capacity of the power grid to ensure stable power supply and avoid shutdown or overload of the furnace due to fluctuations in renewable energy. The multi-hour production cycle scheduling method proposed in the present invention can achieve efficient matching of renewable energy and power grid power throughout the entire furnace production cycle, thereby 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 mature methods for coordinated furnace scheduling of multiple furnaces. Multiple furnaces usually have different power demands in different time periods, and it is necessary to coordinate the furnace scheduling of multiple furnace systems. The method of the present invention can ensure that when the output of new energy changes, it can not only meet the production needs of all furnaces, but also avoid unnecessary waste of electricity.

[0161] The problem of coordinated dispatching of grid electricity and new energy sources is solved. When new energy sources are insufficient, the grid needs to provide supplementary electricity. However, due to the limitation of grid resources, how to reasonably allocate the power supply between the grid and new energy sources according to the maximum and minimum power supply range of the grid to ensure the stability of industrial production and efficient use of energy is still a difficult problem that cannot be effectively solved by existing technologies. The present invention comprehensively considers the dispatching characteristics of grid electricity and new energy power generation. When new energy sources are insufficient, the grid electricity is reasonably called upon for supplementation while ensuring that the furnace production is not affected, thereby achieving efficient coordinated dispatching between new energy sources and the grid. This move can not only reduce the peak-shaving pressure of the grid, but also improve the utilization efficiency of new energy and achieve the maximum substitution of green electricity.

[0162] This invention addresses this issue by proposing a multi-furnace scheduling method based on the coordinated scheduling of renewable energy and grid power over a multi-hour production cycle. This method utilizes innovative intelligent scheduling technology to predict renewable energy power supply. When renewable energy sources are unstable, the coordinated scheduling of multiple furnaces over long periods not only ensures continuous operation but also fully utilizes green renewable energy power, reducing carbon emissions and lowering energy costs.

[0163] like Figure 3 As shown, an embodiment of the present invention further provides a boiler dispatching system 30 based on coordinated scheduling of new energy and grid power, comprising:

[0164] Acquisition module 31, for renewable energy output data and grid power supply data;

[0165] The processing module 32 is used to obtain the total power based on the renewable energy output data and the grid power supply data; obtain the power used by the operating furnace during the production cycle; obtain the available power based on the total power and the power used by the operating furnace during the production cycle; and schedule the operating status of the furnace based on the available power.

[0166] Optionally, obtain new energy output data, including:

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

[0168] Among them, P renewable (t) is the total output of renewable energy power generation at time t; W wind is the installed capacity of wind power; W pv is the photovoltaic installed capacity; P wind，unit (t) is the per-unit value of wind power, which represents the unit installed capacity output ratio of wind power at time t; P pv，unit(t) is the per unit value of photovoltaic power, which represents the unit installed 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 power at time t; P grid,min Indicates the minimum power supply power of the grid power peak regulation space; P grid,max Indicates the maximum power supply power of the grid peak load regulation space; P grid,m Indicates the electrical power used by all furnaces.

[0172] Optionally, the total power is obtained according to the renewable energy output data and the grid power supply data, including:

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

[0174] 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.

[0175] Optionally, obtain the electricity used to operate the furnace during the production cycle, including:

[0176] The power demand of each furnace in 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;

[0177] 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; remaining time (k) represents the remaining operating time of furnace k in the current production cycle.

[0178] Optionally, the available power is obtained based on the total power and the power used by the furnace during the production cycle, including:

[0179] according to Get available electricity;

[0180] 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.

[0181] Optionally, scheduling the operation state of the furnace according to the available power includes:

[0182] Get the standby electric power of the furnace that is not running;

[0183] According to the starting condition P remaining (t+δt)≥P future furnace , schedule the operation status of the furnace;

[0184] 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.

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

[0186] An embodiment of the present invention further provides a computing device comprising: one or more processors; and 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 for boiler scheduling based on coordinated scheduling of renewable energy and grid power as described in the present invention. All implementations in the above method embodiments are applicable to the embodiments of the readable storage medium of the computing device and can achieve the same technical effects.

[0187] Embodiments of the present invention further provide a computing device-readable storage medium storing a program that, when executed by a processor, implements the boiler scheduling method based on coordinated scheduling of renewable energy and grid power as described in the present invention. All implementations in the aforementioned method embodiments are applicable to the embodiments of the computing device-readable storage medium and can achieve the same technical effects.

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

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

[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 merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be through some interface, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

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

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

[0193] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the various embodiments of the method of the present invention. The aforementioned storage medium includes various media that can store program code, such as a USB flash drive, a mobile hard disk, ROM, RAM, a magnetic disk, or an optical disk.

[0194] In addition, it should be noted that, in the apparatus and method of the present invention, it is obvious that each component or each step can be decomposed and / or recombined. These decompositions and / or recombinations should be regarded as equivalent schemes of the present invention. Moreover, the steps of performing the above-mentioned series of processing can naturally be performed in chronological order according to the order of description, but it is not necessary to perform them in chronological order, and some steps can be performed in parallel or independently of each other. For those of ordinary skill in the art, it will be understood that all or any steps or components of the method and apparatus of the present invention can be implemented in any computing device (including processors, storage media, etc.) or a network of computing devices in 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 purpose of the present invention can also be achieved by running a program or a group of programs on any computing device. The computing device can be a well-known general-purpose device. Therefore, the purpose of the present invention can also be achieved simply by providing a program product containing program code 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 pointed out that in the device and method of the present invention, it is obvious that each component or each step can be decomposed and / or recombined. These decompositions and / or recombinations should be regarded as equivalent schemes of the present invention. In addition, the steps of performing the above-mentioned series of processing can naturally be performed in chronological order according to the order of description, but do not necessarily need to be performed in chronological order. Certain steps can be performed in parallel or independently of each other.

[0196] The above is a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as within the scope of protection of the present invention.

Claims

1. A method for dispatching boilers based on coordinated scheduling of new energy and grid electricity, characterized in that: include: Obtain new energy output data and grid power supply data; Obtaining total power based on 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 based on the total power and the power used by the operating furnace during the production cycle; scheduling the operation status of the furnace according to the available power; Among them, obtaining new energy output data includes: according to , obtain new energy output data; in, is the total output of renewable energy power generation at time t; for wind power installed capacity; is the installed capacity of photovoltaic power generation; The per-unit value of wind power represents the unit installed capacity output ratio of wind power at time t; is the photovoltaic per unit value, which represents the unit installed output ratio of photovoltaic at time t; Among them, obtaining grid power supply data includes: according to , obtain grid power supply data; in, Indicates the grid power supply power at time t; Indicates the minimum power supply power of the grid power peak regulation space; Indicates the maximum power supply power of the grid power peak regulation space; Represents the power consumption of all furnaces; wherein, the total power is obtained based on the renewable energy output data and the grid power supply data, including: according to , get the total power; in, represents the total power at time t, It represents the total output of renewable energy power generation at time t; Represents the grid power supply at time t; wherein, obtaining the power used by the running furnace during the production cycle includes: The power requirement of each furnace during the production cycle will vary with the different production stages. , obtain the electricity used to operate the furnace during the production cycle; in, , C represents the length of the production cycle, c represents the stage of furnace k in the production cycle, Indicates the time t furnace Power requirements; Indicates stove Power demand in phase c of the production cycle; remaining time Indicates stove The remaining runtime of the current production cycle.

2. The method for discharging boilers 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 by the furnace during the production cycle, the available power is obtained, including: according to , get available power; in, represents the remaining available power at time t, represents the total power at time t, Indicates the number of furnaces currently running, represents the furnace at time t power requirements.

3. The method for discharging boilers based on coordinated dispatch of new energy and grid electricity according to claim 2 is characterized in that: The operation state of the furnace is scheduled according to the available power, including: Get the standby electric power of the furnace that is not running; According to the starting conditions , schedule the operation status of the furnace; in, represents the remaining available power at time t, 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.

4. A furnace discharging system based on the coordinated dispatch of new energy and grid electricity, which implements the furnace discharging method according to any one of claims 1 to 3, characterized in that: include: Acquisition module, used to obtain new energy output data and grid power supply data; a processing module, configured to obtain total power based on the renewable energy output data and the grid power supply data; Obtaining the power used by the operating furnace during the production cycle; obtaining available power based on the total power and the power used by the operating furnace during the production cycle; scheduling the operation status of the furnace according to the available power; Among them, obtaining new energy output data includes: according to , obtain new energy output data; in, is the total output of renewable energy power generation at time t; for wind power installed capacity; is the installed capacity of photovoltaic power generation; The per-unit value of wind power represents the unit installed capacity output ratio of wind power at time t; is the photovoltaic per unit value, which represents the unit installed output ratio of photovoltaic at time t; Among them, obtaining grid power supply data includes: according to , obtain grid power supply data; in, Indicates the grid power supply power at time t; Indicates the minimum power supply power of the grid power peak regulation space; Indicates the maximum power supply power of the grid power peak regulation space; Represents the power consumption of all furnaces; wherein, the total power is obtained based on the renewable energy output data and the grid power supply data, including: according to , get the total power; in, represents the total power at time t, It represents the total output of renewable energy power generation at time t; Represents the grid power supply at time t; wherein, obtaining the power used by the running furnace during the production cycle includes: The power requirement of each furnace during the production cycle will vary with the different production stages. , obtain the electricity used to operate the furnace during the production cycle; in, , C represents the length of the production cycle, c represents the stage of furnace k in the production cycle, Indicates the time t furnace Power requirements; Indicates stove Power demand in phase c of the production cycle; remaining time Indicates stove The remaining runtime of the current production cycle.

5. 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, enables the one or more processors to implement the furnace discharge method according to any one of claims 1 to 3.

6. A computing device readable storage medium, characterized in that The computing device readable storage medium stores a program, which, when executed by a processor, implements the furnace discharging method according to any one of claims 1 to 3.

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