An operating control method, device and equipment for an industrial production device

By obtaining wind and light output and grid power support data, dynamic calculation of the number and order of starting equipment, the frequent start-up of equipment caused by power fluctuations is solved, and the production stability and energy efficiency are improved.

CN119882648BActive Publication Date: 2025-07-08INNER MONGOLIA ELECTRIC POWER SURVEY & DESIGN INST
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Patent Information

Application Number
CN202510072977.2
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-01-17
Publication Date
2025-07-08
Estimated Expiration
2045-01-17

AI Technical Summary

Technical Problem

The volatility and intermittent output of wind power and photovoltaics lead to frequent start-and-stop of industrial production equipment, affecting the stability of the production process and the service life of the equipment. The power grid peak shaving capacity is limited, which increases the difficulty of coupling between new energy and industrial load coordinated scheduling, resulting in low production efficiency.

Method used

By obtaining wind and light output data, maximum grid power support data and minimum grid power support data, dynamically calculate the current system load, determine the number of industrial production equipment actually started, and control the equipment startup according to the number of startups, and adopt the priority scheduling and startup rotation mechanism to avoid frequent start and stop.

Benefits of technology

Improve production efficiency, reduce energy consumption waste and maintenance costs, optimize energy utilization, extend equipment service life, and reduce system operation costs.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present invention provides an operation control method, device and equipment for industrial production equipment. The method includes: obtaining the wind and light output data, maximum grid power support data and minimum grid power support data at the current moment; determining the current system load according to the wind and light output data, maximum grid power support data and minimum grid power support data; determining the number of actually started industrial production equipment according to the current system load; arranging the start-up times of the industrial production equipment according to the number of actually started industrial production equipment to obtain the start-up time sequence of the industrial production equipment; and controlling the start-up of the industrial production equipment according to the start-up time sequence of the industrial production equipment. This solution can maximize the utilization of wind and light output to maintain the stable operation of the equipment, reduce the energy consumption waste and maintenance cost caused by frequent start and stop, and improve the production efficiency.
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Description

Technical Field

[0001] The present invention relates to the technical field of equipment control, and particularly to an operation control method, device, and equipment for industrial production equipment. Background Art

[0002] Currently, green electricity such as wind power and photovoltaic power is gradually introduced into industrial production as a substitute for traditional energy to reduce carbon emissions and energy costs. However, the output of wind power and photovoltaic power has significant volatility and intermittency, making it difficult for them to continuously and stably meet the power demand of industrial production. Especially in industrial equipment with high requirements for load stability, the volatility of new energy will directly affect the stability of the production process and the service life of the equipment. At the same time, due to the limited grid peak shaving space, the power grid can only provide peak shaving capacity within a certain range and cannot call grid power without limit, which further increases the coupling difficulty of the coordinated scheduling of new energy and industrial load, resulting in frequent start-stop of equipment caused by power fluctuations and low production efficiency. Summary of the Invention

[0003] The present invention provides an operation control method, device, and equipment for industrial production equipment to solve the problems of unreasonable scheduling, frequent start-stop of equipment, and low production efficiency caused by power fluctuations.

[0004] To solve the above technical problems, the technical solution of the present invention is as follows:

[0005] An operation control method for industrial production equipment includes:

[0006] Obtain the wind-solar output data, maximum grid power support data, and minimum grid power support data at the current moment;

[0007] Determine the current system load based on the wind-solar output data, maximum grid power support data, and minimum grid power support data;

[0008] Determine the number of actually started industrial production equipment according to the current system load;

[0009] Arrange the start-up times of industrial production equipment according to the number of actually started industrial production equipment to obtain the start-up time sequence of industrial production equipment;

[0010] Control the start-up of industrial production equipment according to the start-up time sequence of the industrial production equipment.

[0011] Optionally, determining the current system load according to the wind-solar output data, maximum grid power support data, and minimum grid power support data includes:

[0012] Determine a first system load and a second system load according to the wind-solar output data, maximum grid power support data, and minimum grid power support data;

[0013] Wherein, when the sum of the wind-solar power output data and the minimum grid power support data is less than the maximum grid power support data, the maximum grid power support data is determined as the first system load;

[0014] When the sum of the wind-solar power output data and the minimum grid power support data is greater than or equal to the maximum grid power support data, the sum of the wind-solar power output data and the minimum grid power support data is determined as the second system load.

[0015] Optionally, determining the current system load according to the wind-solar power output data, the maximum grid power support data and the minimum grid power support data further includes:

[0016] Determining the grid power support amount through the formula Y3 = min(V max , max (V min , V0)), where Y3 is the grid power support amount, V

[0017] Determining the third system load according to the grid power support amount;

[0018] Wherein, Y3 is the grid power support amount, V max is the maximum grid power support data, V min is the minimum grid power support data, and V0 is the power shortage amount.

[0019] Optionally, determining the number of actually started industrial production equipment according to the current system load includes:

[0020] When the current system load is the first system load, through the formula: Obtaining the number of actually started industrial production equipment;

[0021] Wherein, N is the number of actually started industrial production equipment, α is the power adjustment coefficient, Y1 is the first system load, and P0 is the operating power of the industrial production equipment.

[0022] Optionally, determining the number of actually started industrial production equipment according to the current system load includes:

[0023] When the current system load is the second system load, through the formula:

[0024] Obtaining the number of actually started industrial production equipment;

[0025] Wherein, X is the wind-solar power output data, Y2 is the second system load, and β is the green power substitution rate.

[0026] Optionally, according to the number of actually started industrial production devices, arrange the start-up times of the industrial production devices to obtain the start-up time sequence of the industrial production devices, including:

[0027] Within a preset period, sort the start-up times of the industrial production devices in ascending order to obtain the start-up time sequence of the industrial production devices.

[0028] Optionally, after controlling the start of the industrial production devices according to the start-up time sequence of the industrial production devices, update the current system load.

[0029] The present invention also provides an operation control device for industrial production devices, including:

[0030] An acquisition module for acquiring the wind-solar output data, maximum grid power support data, and minimum grid power support data at the current moment;

[0031] A processing module for determining the current system load according to the wind-solar output data, maximum grid power support data, and minimum grid power support data; determining the number of actually started industrial production devices according to the current system load; arranging the start-up times of the industrial production devices according to the number of actually started industrial production devices to obtain the start-up time sequence of the industrial production devices; and controlling the start of the industrial production devices according to the start-up time sequence of the industrial production devices.

[0032] The present invention also provides a computing device, including: a processor and a memory storing a computer program, and when the computer program is run by the processor, it executes the method described above.

[0033] The present invention also provides a computer-readable storage medium storing instructions, and when the instructions are run on a computer, the computer is caused to execute the method described above.

[0034] The above solution of the present invention has at least the following beneficial effects:

[0035] In the above solution of the present invention, by acquiring the wind-solar output data, maximum grid power support data, and minimum grid power support data at the current moment; determining the current system load according to the wind-solar output data, maximum grid power support data, and minimum grid power support data; determining the number of actually started industrial production devices according to the current system load; arranging the start-up times of the industrial production devices according to the number of actually started industrial production devices to obtain the start-up time sequence of the industrial production devices; and controlling the start of the industrial production devices according to the start-up time sequence of the industrial production devices. It can maximize the utilization of wind-solar output, reduce the dependence on traditional energy sources; maintain the stable operation of the devices through intelligent scheduling, reduce the energy consumption waste and maintenance costs caused by frequent start-stop, and reduce the overall operation cost of the system. Brief Description of the Drawings

[0036] Figure 1 is a step diagram of the operation control method for industrial production equipment provided by an embodiment of the present invention;

[0037] Figure 2 is a flowchart of the operation control method for industrial production equipment provided by an embodiment of the present invention;

[0038] Figure 3 is a schematic diagram of the modules of the operation control device for industrial production equipment provided by an embodiment of the present invention. Detailed Embodiment

[0039] Hereinafter, exemplary embodiments of the present invention will be described in more detail with reference to the accompanying 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.

[0040] As Figure 1 shown, an embodiment of the present invention provides an operation control method for industrial production equipment, including:

[0041] Step 11, obtaining wind-solar output data, maximum grid power support data, and minimum grid power support data at the current moment;

[0042] Step 12, determining the current system load according to the wind-solar output data, maximum grid power support data, and minimum grid power support data;

[0043] Step 13, determining the number of actually started industrial production equipment according to the current system load;

[0044] Step 14, arranging the start-up times of the industrial production equipment according to the number of actually started industrial production equipment to obtain the start-up time sequence of the industrial production equipment;

[0045] Step 15, controlling the start-up of the industrial production equipment according to the start-up time sequence of the industrial production equipment.

[0046] In this embodiment, green electricity such as wind power and photovoltaic power is gradually introduced into current industrial production as a substitute for traditional energy to reduce carbon emissions and energy costs. In this embodiment, the wind-solar output is the sum of wind power output and photovoltaic power output, which is used to describe the new energy output jointly provided by wind energy and light energy at a certain moment; the grid power support is the supplementary power provided by the grid for industrial production equipment. Considering the limited grid peak regulation capacity, the grid power support has two parameters: the maximum power supply capacity (maximum supplementary capacity) and the minimum power supply capacity (minimum capacity to maintain the basic load).

[0047] To avoid unreasonable production scheduling of industrial production equipment and frequent start-stop due to the instability of wind and solar power output, in this embodiment, based on the real-time read wind and solar power output data, combined with the maximum grid power support data and the minimum grid power support data, the number of industrial production equipment to be started in each period is dynamically calculated to ensure stable supply of production load.

[0048] First, calculate the number of industrial production equipment to be started according to the wind and solar power output data, the maximum grid power support data and the minimum grid power support data; then, in each period, update the load of the current period according to the number of started industrial production equipment and the power adjustment coefficient. By appropriately reducing the power of industrial production equipment to adapt to power supply, the system can maintain stable production load and avoid frequent start-stop of equipment. When starting industrial production equipment, a priority scheduling and start times rotation mechanism is used. The start times of industrial production equipment are sorted every certain period of time, and the industrial production equipment with fewer start times is started first. The already started industrial production equipment is given priority to continue running to reduce frequent start-stop. Priority is given to ensuring the stable operation of the already started industrial production equipment to avoid excessive wear.

[0049] The operation control method of the industrial production equipment in this embodiment maintains the stable operation of the equipment through intelligent scheduling, improves production efficiency, reduces energy consumption waste and maintenance costs caused by frequent start-stop, and reduces the overall operation cost of the system. Through optimized energy management, the system can maximize the utilization of wind and solar power output and reduce dependence on traditional energy sources. While improving production continuity, it effectively reduces the energy and equipment maintenance costs of the system, and has higher overall economic benefits.

[0050] In this embodiment, based on the real-time read wind and solar power output data, combined with the maximum grid power support data and the minimum grid power support data, the number of industrial production equipment to be started in each period is dynamically calculated to ensure stable supply of production load.

[0051] Calculate the number of industrial production equipment to be started according to the wind and solar power output data and the grid power support data. First, the system judges whether the sum of the wind and solar power output and the grid power support is sufficient to meet the production load. If not, the system will start more industrial production equipment and adjust the power of industrial production equipment according to the actual situation.

[0052] In an optional embodiment of the present invention, step 12 may include:

[0053] Step 121, determine a first system load amount and a second system load amount according to the wind and solar power output data, the maximum grid power support data and the minimum grid power support data;

[0054] Wherein, when the sum of the wind-solar power output data and the minimum grid power support data is less than the maximum grid power support data, the maximum grid power support data is determined as the first system load;

[0055] Step 122, when the sum of the wind-solar power output data and the minimum grid power support data is greater than or equal to the maximum grid power support data, determine the sum of the wind-solar power output data and the minimum grid power support data as the second system load;

[0056] Step 123, determine the grid power support by the formula Y3 = min(V max , max (V min , V0));

[0057] Determine the third system load according to the grid power support;

[0058] Wherein, Y3 is the grid power support, V max is the maximum grid power support data, V min is the minimum grid power support data, and V0 is the power shortage.

[0059] In this embodiment, the system load is the total power supply of the power supply system, including wind-solar power output and grid power support. The grid power support is an interval value, and the usage rules for the maximum grid power support and the minimum grid power support are as follows:

[0060] Maximum grid power support: When the wind-solar power output is insufficient (when new energy generates little power), the system uses the maximum grid power support to supplement the load to ensure that production is not affected. At this time, the maximum grid power support data is the first system load.

[0061] Minimum grid power support: When the wind-solar power output is sufficient (when new energy generates a large amount of power), the system only uses the minimum grid power support to supplement the insufficient part to ensure that the power grid will not be under additional peak shaving pressure. At this time, the sum of the wind-solar power output data and the minimum grid power support data is the second system load.

[0062] Intermediate situation: When the wind-solar power output is neither sufficient nor completely insufficient, the system dynamically calculates and adjusts the grid power support according to the power shortage or the green power substitution rate to minimize the pressure on the power grid while meeting the production load. At this time, the sum of the wind-solar power output data and the grid power support is the third system load.

[0063] According to the power shortage and the green power substitution rate, the grid power support can be calculated by the following formula:

[0064] Y3 = min(V max , max (V min , V0));

[0065] Among them, Y3 is the grid power support, and V max is the maximum grid power support data, and V min is the minimum grid power support data, and V0 is the power shortage.

[0066] The power shortage V0 refers to the part where the current production load exceeds the sum of the wind-solar output and the grid power support.

[0067] The green power substitution rate is the proportion that the system hopes to replace the conventional grid power supply with the wind-solar output, and is used to measure the proportion of new energy in the total system load. The green power substitution rate is an important parameter for determining the number of industrial production equipment to be started during the dispatching process.

[0068] In an optional embodiment of the present invention, in step 122, it may include:

[0069] Step 1221, when the current system load is the first system load, through the formula: obtain the number of actually started industrial production equipment;

[0070] Among them, N is the number of actually started industrial production equipment, α is the power adjustment coefficient, T1 is the first system load, and P0 is the operating power of the industrial production equipment.

[0071] Step 1222, when the current system load is the second system load, through the formula:

[0072] obtain the number of actually started industrial production equipment;

[0073] Among them, X is the wind-solar output data, Y2 is the second system load, and β is the green power substitution rate.

[0074] In this embodiment, when the wind-solar output and the grid power support are insufficient, that is, when the power supply is the first system load, the maximum grid power support data is used to supply power to the industrial production equipment, and the industrial production equipment is controlled to operate in a low-power state to meet the minimum load demand. The number of started industrial production equipment is obtained through the following formula:

[0075]

[0076] Among them, N is the number of actually started industrial production equipment, α is the power adjustment coefficient, Y1 is the first system load, and P0 is the operating power of the industrial production equipment.

[0077] Specifically, the power adjustment coefficient α is dynamically adjusted according to the actual wind-solar output and grid power support conditions.

[0078] When the sum of the wind and light output and the grid power support is sufficient and the power supply is the second system load, the system determines the number of industrial production equipment to be started according to the wind and light output, the green power substitution rate, and the grid power support. Specifically, through the formula:

[0079] Obtain the actual number of industrial production equipment started;

[0080] where X is the wind and light output data, Y2 is the second system load, and β is the green power substitution rate.

[0081] This embodiment ensures that the system starts an appropriate number of industrial production equipment according to the actual situation through the minimum value function, avoiding exceeding the total number of industrial production equipment. At this time, the industrial production equipment is controlled to operate in the normal power state.

[0082] After the industrial production equipment is started, in each time period, the system will update the system load of the current time period according to the number of started industrial production equipment and the power adjustment coefficient. By appropriately reducing the power of the industrial production equipment to adapt to the power supply, the system can maintain the stability of the production load and avoid frequent start and stop of the industrial production equipment.

[0083] In an alternative embodiment of the present invention, through the formula Determine the operating power of the current industrial production equipment;

[0084] where P0 is the operating power of the industrial production equipment, Y0 is the current system load, α is the power adjustment coefficient, and N is the actual number of started industrial production equipment.

[0085] The power adjustment coefficient α is dynamically adjusted according to the system load of the current time period.

[0086] In an alternative embodiment of the present invention, in step 14, it may include:

[0087] Step 141, within a preset period, sort the start times of the industrial production equipment in ascending order to obtain the start time order of the industrial production equipment.

[0088] Since the temperature of the industrial production equipment will rise and overheat after long-term operation, the equipment needs to be shut down for cooling at this time. This embodiment sets a preset time according to the time requirements of cooling and quick start. Within this time period, the industrial production equipment can recover to a temperature suitable for restarting, thus avoiding excessive thermal stress caused by frequent start and stop. The specific duration can be adjusted according to the actual equipment and working conditions to ensure that the industrial production equipment has enough time to cool and can quickly recover with a small start-up loss.

[0089] To ensure the balanced use of equipment, this embodiment sets up a priority scheduling and startup times rotation mechanism. The startup times of industrial production equipment are sorted every preset time interval, and the industrial production equipment with fewer startup times is given priority to start. The already started industrial production equipment is given priority to continue running to reduce frequent startups and stops. During the preset time, the stable operation of the already started industrial production equipment is ensured first to ensure the balanced use of each industrial production equipment, avoid frequent startups and stops of local equipment, and improve the overall production efficiency.

[0090] The startup times of industrial production equipment are sorted by the following formula:

[0091] Sorting rule = min(startup times of industrial production equipment).

[0092] After determining the order of the startup times of industrial production equipment, the industrial production equipment is controlled to start according to the order of the startup times of the industrial production equipment.

[0093] In an alternative embodiment of the present invention, after controlling the industrial production equipment to start according to the order of the startup times of the industrial production equipment, the current system load is updated.

[0094] In this embodiment, in step 15, the industrial production equipment is rotated to start in ascending order of startup times, and the startup times and power supply situation are updated; when the wind and light output and grid power support are insufficient to supply power, the deficiency value is calculated and updated; when the power supply is sufficient, the startup times and power supply situation of the industrial production equipment in the next cycle are continued to be calculated.

[0095] In a specific embodiment, the duration for rapid startup after cooling is set to three hours. This period takes into account that industrial production equipment needs a certain time to cool down after shutdown, and within three hours, it can more effectively ensure that the industrial production equipment cools down and can be restarted quickly.

[0096] According to the priority scheduling and startup times rotation mechanism, the startup times of industrial production equipment are sorted every three hours, and the industrial production equipment with fewer startup times is given priority to start. The already started industrial production equipment is given priority to continue running to reduce frequent startups and stops. Within three hours, the stable operation of the already started industrial production equipment is ensured first to avoid excessive wear.

[0097] The operation control method of the industrial production equipment described in the above embodiments of the present invention can dynamically adjust the grid power support according to the real-time wind and light output, so as to avoid the peak shaving pressure on the power grid; only the minimum grid power is used during the peak period of new energy output, while the maximum grid power is used when the new energy output is insufficient, enabling the system to reduce the dependence on traditional power grid resources and optimize the energy utilization efficiency on the premise of using as much green energy as possible; when the wind and light output is insufficient, a low-power operation mode is adopted to keep the industrial production equipment running at the lowest load, avoid frequent start-stop, reduce the thermal stress and mechanical stress of the equipment, and extend the service life of the equipment; by introducing the low-power mode, the system can flexibly adjust the production load when the new energy output fluctuates without relying on frequent shutdowns of industrial production equipment, improving the continuity and economy of equipment operation; through the priority scheduling and start-up times rotation mechanism, the industrial production equipment is sorted for start-up every fixed period, and the industrial production equipment with fewer start-up times is preferentially started, thus avoiding excessive wear of individual industrial production equipment caused by frequent start-stop; the rotation mechanism is based on the equipment's cooling and rapid start characteristics, which can not only reduce equipment wear but also quickly respond to production demands when needed. In addition, the rotation duration can be adjusted according to actual needs, with high flexibility.

[0098] The operation control method of the industrial production equipment of the present invention maintains the stable operation of the equipment through intelligent scheduling, reduces the energy consumption waste and maintenance costs caused by frequent start-stop, and reduces the overall operation cost of the system. Through optimized energy management, the system can maximize the utilization of wind and light output, reduce the dependence on traditional energy, and conform to the industrial development trend of energy conservation and emission reduction. While improving production continuity, it effectively reduces the energy and equipment maintenance costs of the system, with higher overall economic benefits.

[0099] As Figure 3 shown, an operation control device 30 for industrial production equipment is further provided in the embodiments of the present invention, including:

[0100] An acquisition module 31, configured to acquire the wind and light output data, maximum grid power support data, and minimum grid power support data at the current moment;

[0101] A processing module 32, configured to determine the current system load according to the wind and light output data, maximum grid power support data, and minimum grid power support data; determine the number of actually started industrial production equipment according to the current system load; arrange the start-up times of the industrial production equipment according to the number of actually started industrial production equipment to obtain the start-up times order of the industrial production equipment; and control the start-up of the industrial production equipment according to the start-up times order of the industrial production equipment.

[0102] Optionally, determining the current system load based on the wind and light output data, the maximum grid power support data, and the minimum grid power support data includes:

[0103] Determining a first system load and a second system load based on the wind and light output data, the maximum grid power support data, and the minimum grid power support data;

[0104] Wherein, when the sum of the wind and light output data and the minimum grid power support data is less than the maximum grid power support data, determining the maximum grid power support data as the first system load;

[0105] When the sum of the wind and light output data and the minimum grid power support data is greater than or equal to the maximum grid power support data, determining the sum of the wind and light output data and the minimum grid power support data as the second system load.

[0106] Optionally, determining the current system load based on the wind and light output data, the maximum grid power support data, and the minimum grid power support data further includes:

[0107] Determining the grid power support amount through the formula Y3 = min(V max , max (V min , V0));

[0108] Determining a third system load based on the grid power support amount;

[0109] Wherein, Y3 is the grid power support amount, V max is the maximum grid power support data, V min is the minimum grid power support data, and V0 is the power shortage amount.

[0110] Optionally, determining the number of actually started industrial production equipment based on the current system load includes:

[0111] When the current system load is the first system load, through the formula: Obtaining the number of actually started industrial production equipment;

[0112] Wherein, N is the number of actually started industrial production equipment, α is the power adjustment coefficient, Y1 is the first system load, and P0 is the operating power of the industrial production equipment.

[0113] Optionally, determining the number of actually started industrial production equipment based on the current system load includes:

[0114] When the current system load is the second system load, through the formula:

[0115] Obtaining the number of actually started industrial production equipment;

[0116] Wherein, X is the wind and light output data, Y2 is the second system load, and β is the green power substitution rate.

[0117] Optionally, according to the number of actually started industrial production devices, arrange the start times of the industrial production devices to obtain the start time order of the industrial production devices, including:

[0118] Within a preset period, sort the start times of the industrial production devices in ascending order to obtain the start time order of the industrial production devices.

[0119] Optionally, after controlling the start of the industrial production devices according to the start time order of the industrial production devices, update the current system load.

[0120] It should be noted that this device corresponds to the above method. All implementation manners in the above method embodiments are applicable to the embodiments of this device and can also achieve the same technical effects.

[0121] An embodiment of the present invention also provides a computing device, including: a processor and a memory storing a computer program. When the computer program is run by the processor, it executes the method as described in the above embodiments. All implementation manners in the above method embodiments are applicable to this embodiment and can also achieve the same technical effects.

[0122] An embodiment of the present invention also provides a computer-readable storage medium storing instructions. When the instructions are run on a computer, the computer is made to execute the method as described in the above embodiments. All implementation manners in the above method embodiments are applicable to this embodiment and can also achieve the same technical effects.

[0123] 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 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.

[0124] Those skilled in the art can 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 foregoing method embodiments and will not be described in detail here.

[0125] 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 the 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 to each other can be through some interfaces. The indirect couplings or communication connections of the devices or units can be in electrical, mechanical or other forms.

[0126] 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.

[0127] 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.

[0128] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it 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 described 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.

[0129] 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 shall 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.

[0130] 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 code for implementing the method or device. That is to say, such a program product also constitutes the present invention, and a 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 shall 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.

[0131] The above is the preferred embodiment of the present invention. It should be pointed out that for those of ordinary skill in the art, without departing from the principle of the present invention, several improvements and modifications can be made, and these improvements and modifications should also be regarded as the protection scope of the present invention.

Claims

1. A method for controlling the operation of an industrial production device, characterized in that, Including: Obtain the wind and light output data, maximum grid power support data, and minimum grid power support data at the current moment; Determine the current system load based on the wind and light output data, maximum grid power support data, and minimum grid power support data; Determine the number of actually started industrial production equipment according to the current system load; Arrange the start-up times of industrial production equipment according to the number of actually started industrial production equipment to obtain the start-up time sequence of industrial production equipment; Control the start-up of industrial production equipment according to the start-up time sequence of the industrial production equipment; Among them, determining the current system load according to the wind and light output data, maximum grid power support data, and minimum grid power support data includes: Determine the first system load and the second system load according to the wind and light output data, maximum grid power support data, and minimum grid power support data; Among them, when the sum of the wind and light output data and the minimum grid power support data is less than the maximum grid power support data, determine the maximum grid power support data as the first system load; When the sum of the wind and light output data and the minimum grid power support data is greater than or equal to the maximum grid power support data, determine the sum of the wind and light output data and the minimum grid power support data as the second system load; Determine the network power support amount through the formula Y3 = min(V max , max(V min , V0)). Determine the third system load according to the grid power support amount; Among them, Y3 is the network power support amount, V max is the maximum network power support data, V min is the minimum network power support data, and V0 is the power shortage amount.

2. The operating control method of the industrial production equipment according to claim 1, characterized in that Determining the number of actually started industrial production equipment according to the current system load includes: When the current system load is the first system load, through the formula: Obtain the number of actually started industrial production equipment; Where N is the number of actually started industrial production equipment, α is the power adjustment coefficient, Y1 is the first system load, and P0 is the operating power of industrial production equipment.

3. The operating control method of the industrial production equipment according to claim 2, characterized in that, Determining the number of actually started industrial production equipment according to the current system load includes: When the current system load is the second system load, through the formula: Obtain the number of actually started industrial production equipment; Where X is the wind and light output data, Y2 is the second system load, and β is the green power substitution rate.

4. The operating control method of the industrial production equipment according to claim 1, wherein Arranging the start-up times of industrial production equipment according to the number of actually started industrial production equipment to obtain the start-up time sequence of industrial production equipment includes: Within a preset period, sort the start-up times of industrial production equipment in ascending order to obtain the start-up time sequence of industrial production equipment.

5. The operating control method of the industrial production equipment according to claim 1, wherein After controlling the start-up of industrial production equipment according to the start-up time sequence of the industrial production equipment, update the current system load.

6. An operating control device for an industrial production device, characterized in that, Including: An acquisition module for acquiring the wind and light output data, maximum grid power support data, and minimum grid power support data at the current moment; A processing module for determining the current system load according to the wind and light output data, maximum grid power support data, and minimum grid power support data; determining the number of actually started industrial production equipment according to the current system load; arranging the start-up times of industrial production equipment according to the number of actually started industrial production equipment to obtain the start-up time sequence of industrial production equipment; controlling the start-up of industrial production equipment according to the start-up time sequence of the industrial production equipment; Among them, determining the current system load according to the wind and light output data, maximum grid power support data, and minimum grid power support data includes: Determine a first system load and a second system load according to the wind-solar power output data, the maximum grid power support data, and the minimum grid power support data; Among them, when the sum of the wind-solar power output data and the minimum grid power support data is less than the maximum grid power support data, determine the maximum grid power support data as the first system load; When the sum of the wind-solar power output data and the minimum grid power support data is greater than or equal to the maximum grid power support data, determine the sum of the wind-solar power output data and the minimum grid power support data as the second system load; Determine the network power support by the formula Y3 = min(V max , max(V min , V0)). Determine a third system load according to the grid power support amount; Among them, Y3 is the grid power support, V max is the maximum grid power support data, V min is the minimum grid power support data, and V0 is the power shortage amount.

7. A computing device, characterized in that, Including: A processor and a memory storing a computer program, and when the computer program is run by the processor, it executes the method according to any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that, Instructions are stored, and when the instructions are run on a computer, the computer is caused to execute the method according to any one of claims 1 to 5.

Citation Information

Patent Citations

  • Scheduling optimization method and system for multi-device control

    CN114757492A