Multi-system load regulation and control method, device, equipment, medium and program product

Abstract

The invention relates to a multi-system load regulation and control method, device and equipment, a medium and a program product. The method comprises the following steps: acquiring current operation data of each target system; determining a load regulation capacity corresponding to each target system according to the current operation data; initiating a load regulation and control request to a power grid side according to the load regulation capacity corresponding to each target system; under the condition that regulation and control indication information fed back by the power grid side is received, an adjustment instruction for each target system is generated; the regulation and control indication information comprises the target regulation capacity of the load; issuing the adjustment instruction to the target system; the regulation instruction is used for indicating the target system to regulate and control the load according to the target regulation capacity. Therefore, the method can be suitable for a complex industrial scene of an integrated circuit factory, carries out unified load regulation and control on each system in the integrated circuit factory, and effectively balances the production continuity, the product quality and the energy-saving effect of the integrated circuit factory.

Description

Technical Field

[0001] This application relates to the field of power electronics technology, and particularly to a multi-system load regulation method, device, computer device, computer-readable storage medium, and computer program product. Background Art

[0002] With the development of new energy technology, the proportion of new energy power generation has been increasing. However, the randomness and volatility of new energy power generation pose a huge challenge to the stability of the power system.

[0003] In traditional technologies, frequency regulation and peak-valley filling are often relied on thermal power units to regulate power. For high-energy-consuming industries, such as steel and chemical industries, relatively mature load dispatching technologies have been developed.

[0004] However, for a complex industrial environment such as an integrated circuit factory that involves coordination of multiple systems, existing load dispatching technologies are difficult to meet the energy consumption management requirements of multi-system regulation, that is, the continuity of production, product quality, and energy-saving effects cannot be balanced. Summary of the Invention

[0005] Based on this, in view of the above technical problems, it is necessary to provide a multi-system load regulation method, device, computer device, computer-readable storage medium, and computer program product that can effectively balance the continuity of production, product quality, and energy-saving effects of an integrated circuit factory.

[0006] In a first aspect, this application provides a method for multi-system load regulation, including:

[0007] Obtain the current operation data of each target system;

[0008] Determine the load regulation capacity corresponding to each target system according to the current operation data;

[0009] Initiate a load regulation request to the grid side according to the load regulation capacity corresponding to each target system; the load regulation request includes declared capacity regulation information;

[0010] Generate an adjustment instruction for each target system when receiving the regulation instruction information feedback from the grid side; the regulation instruction information includes the target regulation capacity of the load;

[0011] Send the adjustment instruction to the target system; the adjustment instruction is used to instruct the target system to regulate the load according to the target regulation capacity.

[0012] In one embodiment, the target system includes: several equipment combinations selected from an air purification system and a production system;

[0013] The obtaining of the current operation data of each target system includes:

[0014] Obtaining the operating power, power baseline, and inventory quantity of each equipment combination in the current period, and obtaining the production power and workshop cleanliness of the air purification system in the current period.

[0015] In one embodiment, the determining of the load regulation capacity corresponding to each target system according to the current operation data includes:

[0016] Based on the first constraint conditions included in the production workshop's day-ahead scheduling model, determining the load regulation capacity and the operating power of the next period of each equipment combination according to the operating power, power baseline, and inventory quantity of each equipment combination in the current period; and / or,

[0017] Based on the second constraint conditions included in the air purification system optimization model, determining the load regulation capacity and the operating power of the next period of the air purification system according to the operating power and workshop cleanliness of the air purification system in the current period;

[0018] Wherein, the power baseline of each equipment combination varies according to the configuration of the equipment in the workshop and the production requirements.

[0019] In one embodiment, the first constraint conditions include at least one of the following:

[0020] Power baseline selection constraint condition;

[0021] Adjustable capacity constraint condition;

[0022] Workshop production continuity constraint condition;

[0023] Inventory management constraint condition.

[0024] In one embodiment, the second constraint conditions include at least one of the following:

[0025] Air purification system gear constraint condition;

[0026] Production power range constraint condition;

[0027] Workshop cleanliness continuity constraint condition;

[0028] Cleanliness range constraint condition.

[0029] In one embodiment, the sending of a load regulation request to the grid side according to the load regulation capacity corresponding to each target system includes:

[0030] Performing a summation process on the load regulation capacity corresponding to each target system to determine the overall load regulation capacity;

[0031] Initiate a load regulation request to the grid side according to the overall load regulation capacity.

[0032] In a second aspect, the present application further provides a device for multi-system load regulation, including:

[0033] An acquisition module, configured to acquire the current operation data of each target system;

[0034] A determination module, configured to determine the load regulation capacity corresponding to each target system according to the current operation data;

[0035] A sending module, configured to initiate a load regulation request to the grid side according to the load regulation capacity corresponding to each target system; the load regulation request includes declared capacity regulation information;

[0036] An adjustment instruction generation module, configured to generate adjustment instructions for each target system when receiving the regulation instruction information fed back by the grid side; the regulation instruction information includes the target regulation capacity of the load;

[0037] The sending module is further configured to send the adjustment instructions to the target system; the adjustment instructions are used to instruct the target system to regulate the load according to the target regulation capacity.

[0038] In a third aspect, the present application further provides a computer device, including a memory and a processor, where the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0039] Acquire the current operation data of each target system;

[0040] Determine the load regulation capacity corresponding to each target system according to the current operation data;

[0041] Initiate a load regulation request to the grid side according to the load regulation capacity corresponding to each target system; the load regulation request includes declared capacity regulation information;

[0042] Generate adjustment instructions for each target system when receiving the regulation instruction information fed back by the grid side; the regulation instruction information includes the target regulation capacity of the load;

[0043] Send the adjustment instructions to the target system; the adjustment instructions are used to instruct the target system to regulate the load according to the target regulation capacity.

[0044] In a fourth aspect, the present application further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0045] Obtain the current operating data of each target system;

[0046] Determine the load regulation capacity corresponding to each target system according to the current operating data;

[0047] Initiate a load regulation request to the grid side according to the load regulation capacity corresponding to each target system; the load regulation request includes the declared capacity regulation information;

[0048] Generate an adjustment instruction for each target system when receiving the regulation instruction information feedback from the grid side; the regulation instruction information includes the target regulation capacity of the load;

[0049] Send the adjustment instruction to the target system; the adjustment instruction is used to instruct the target system to regulate the load according to the target regulation capacity.

[0050] In a fifth aspect, the present application also provides a computer program product, including a computer program, which when executed by a processor implements the following steps:

[0051] Obtain the current operating data of each target system;

[0052] Determine the load regulation capacity corresponding to each target system according to the current operating data;

[0053] Initiate a load regulation request to the grid side according to the load regulation capacity corresponding to each target system; the load regulation request includes the declared capacity regulation information;

[0054] Generate an adjustment instruction for each target system when receiving the regulation instruction information feedback from the grid side; the regulation instruction information includes the target regulation capacity of the load;

[0055] Send the adjustment instruction to the target system; the adjustment instruction is used to instruct the target system to regulate the load according to the target regulation capacity.

[0056] The above-mentioned method, device, computer equipment, computer-readable storage medium and computer program product for multi-system load regulation obtain the current operation data of each target system; determine the load regulation capacity corresponding to each target system according to the current operation data; thus, the load regulation capacity of multiple target systems in a complex industrial environment can be determined, facilitating subsequent targeted load regulation. According to the load regulation capacity corresponding to each target system, a load regulation request is sent to the grid side; the load regulation request includes the declared capacity regulation information; thus, according to the change in production demand, a load regulation request can be dynamically sent to the grid side, enabling flexible adjustment of the load of the target system. In the case of receiving the regulation instruction information feedback from the grid side, an adjustment instruction for each target system is generated; the regulation instruction information includes the target regulation capacity of the load; thus, targeted load regulation can be performed on each target system. The adjustment instruction is sent to the target system; the adjustment instruction is used to instruct the target system to regulate the load according to the target regulation capacity. Thus, it can be applicable to the complex industrial scenario of an integrated circuit factory, perform unified load regulation on each system in the integrated circuit factory, and effectively balance the continuity of production, product quality and energy-saving effect in the integrated circuit factory. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] To more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following will briefly introduce the drawings required for use in the description of the embodiments of the present application or related technologies. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, other related drawings can be obtained based on these drawings without creative efforts.

[0058] Figure 1 It is an application environment diagram of the method for multi-system load regulation in an embodiment;

[0059] Figure 2 It is a flowchart of the method for multi-system load regulation in an embodiment;

[0060] Figure 3 It is a flowchart of the method for multi-system load regulation in another embodiment;

[0061] Figure 4 It is a structural block diagram of the device for multi-system load regulation in an embodiment;

[0062] Figure 5 It is an internal structure diagram of a computer device in an embodiment. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0063] To make the objectives, technical solutions, and advantages of this application more clearly understood, the following further elaborates on this application in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely used to explain this application and are not intended to limit this application.

[0064] The method for multi-system load regulation provided by the embodiments of this application can be applied to an application environment as Figure 1 shown. Among them, integrated circuit enterprises generally refer to factories related to integrated circuit production. These integrated circuit enterprises can include multiple systems below. If classified by function, they can be roughly divided into: production systems, air purification systems, energy storage systems, etc. First, the integrated circuit enterprise obtains the actual operation data of each subordinate system (for example: the operating power of the production system and the air purification system), and then determines the declared adjustment capacity to the grid side based on the actual operation data. After receiving the declaration request for the adjustment capacity, the grid side will feedback the specific adjustment capacity to the integrated circuit enterprise. Finally, the integrated circuit enterprise generates a specific adjustment instruction based on the specific adjustment capacity feedback by the grid side; and sends the specific adjustment instruction to each subordinate system. Thus, it is possible to integrate each system under the integrated circuit enterprise and generate a unified load regulation strategy. Especially in a dynamic power market, the operating power of each system can be flexibly adjusted according to the fluctuations of real-time electricity prices, effectively reducing energy consumption while ensuring the stability of the high-precision production environment, and comprehensively improving the production efficiency and market competitiveness of the integrated circuit factory.

[0065] In an exemplary embodiment, as Figure 2 shown, a method for multi-system load regulation is provided. Taking the management center of the integrated circuit enterprise in Figure 1 as an example for illustration, it includes the following steps 201 to step 205. Among them:

[0066] Step 201, obtain the current operation data of each target system.

[0067] In this embodiment, considering that there are multiple systems under the integrated circuit enterprise, a part of the systems can be selected as target systems (for example: production systems and air purification systems, etc.). Then, the operation data of the target systems is obtained through pre-configured data sensors.

[0068] Optionally, the target system includes: several equipment combinations selected from the air purification system and the production system.

[0069] Optionally, obtain the operating power, power baseline, inventory quantity of each equipment combination in the current period, and obtain the production power and workshop cleanliness of the air purification system in the current period.

[0070] Among them, the operating power refers to the actual power of each device in the device combination under normal working conditions. The power baseline, also known as the load baseline, is the standard power consumption of the factory under steady-state conditions. The inventory quantity refers to a probability introduced by inventory management to ensure the continuity and efficiency of the production process. The setting and management of inventory are directly affected by the production rate and the energy consumption rate.

[0071] Step 202: Determine the load regulation capacity corresponding to each target system according to the current operating data.

[0072] In this embodiment, the load regulation capacity refers to the range within which the target system can declare load regulation to the power grid without affecting stable and continuous production. Among them, the load regulation capacity is related to factors such as the power baseline in the current operating data.

[0073] Exemplarily, based on the first constraint condition included in the production workshop's day-ahead scheduling model, according to the operating power, power baseline, and inventory quantity of each device combination in the current period, determine the load regulation capacity of each device combination and the operating power in the next period.

[0074] In this embodiment, the production workshop's day-ahead scheduling model first defines the power baseline of the production workshop. The setting of this power baseline needs to consider the configuration of workshop equipment and production requirements, and determine the optimal power baseline value per hour through an optimization algorithm. Among them, the load regulation capacity can be simply summarized as the adjustable load range that the factory (enterprise) can provide. The load regulation capacity can be dynamically adjusted based on the price signal in the real-time power market to ensure that the factory can flexibly participate in market regulation while ensuring production continuity, thereby obtaining additional economic benefits.

[0075] Optionally, to ensure the continuity and efficiency of the production process, the production workshop's day-ahead scheduling model introduces inventory management among production systems. The setting and management of inventory are directly affected by the production rate and the energy consumption rate. By adding inventory constraint conditions to the model, production process interruptions can be avoided, and the economic benefits of production can be guaranteed.

[0076] Optionally, the first constraint condition includes at least one of the following:

[0077] Power baseline selection constraint condition;

[0078] Adjustable capacity constraint condition;

[0079] Workshop production continuity constraint condition;

[0080] Inventory management constraint condition.

[0081] Regarding the adjustment of power baseline selection constraints, it is first necessary to clarify the meaning of the power baseline. The power baseline is a key reference parameter for the power market adjustment strategy and represents the power consumption level of the integrated circuit workshop under steady-state conditions. In short, the power baseline is equivalent to the power required by the workshop without the charge and discharge operations of the energy storage system and without changing the operating state of the machines. In another sense, it reflects the total power of the workshop operation and can thus be regarded as a form of manifestation of the production rate. Power baseline is determined by the equipment configuration of the workshop; given the limitations of the workshop equipment configuration, only a specific production rate can be maintained at any given time period, and the production rate is naturally subject to the following limitations.

[0082] Regarding the adjustable capacity constraint conditions, it is first necessary to clarify the meaning of the adjustable capacity. The adjustable capacity is another key parameter participating in the power market, and it is essentially different from the power baseline. The power baseline determines the equipment configuration of the workshop, while the range of the adjustment capacity is limited by this baseline. The workshop can use the adjustable capacity to submit invitations to the grid side to participate in market regulation. Optionally, when the adjustable power is used to characterize the adjustable capacity, its calculation formula is as follows:

[0083]

[0084] Among them, represents the lower limit of the adjustable potential that the workshop can provide when selecting the workshop equipment combination ; represents the upper limit of the adjustable potential that the workshop can provide when selecting the workshop equipment combination ; represents the adjustable power of the workshop to submit an invitation to the grid side when selecting the workshop equipment combination ; represents the set of equipment combinations; is a binary variable indicating whether the equipment combination is selected in the time period .

[0085] Regarding the continuous production constraint conditions of the workshop, in each production workshop, the inventory management system plays a key role in ensuring the continuity and efficiency of the production process. The power selection of the workshop directly determines the production rate of the products. Therefore, when formulating the power selection and scheduling strategy, the requirements of inventory management must be fully considered. To avoid interruptions in the production stage, the inventory management system needs to be closely coordinated with the production power to ensure that there is sufficient intermediate product inventory at each stage to support subsequent production activities. The specific calculation formula is as follows:

[0086]

[0087] Among them: represents the time period Inventory quantity at a certain time; Indicates the constant production rate in the next stage; Represents the set of all time periods; q t+1 Indicates the inventory quantity at time period t + 1; B p Represents the power baseline for selecting equipment combination p.

[0088] Regarding inventory management constraints, in inventory management, the upper and lower limits of inventory are important mechanisms to ensure production continuity and efficiency. The specific calculation formula is as follows:

[0089]

[0090] Where: Indicates the lower limit of inventory; Indicates the upper limit of inventory.

[0091] Assume that the revenue and cost of the integrated circuit enterprise's products, the revenue and cost of providing adjustable capacity, and the market price are known. In addition, the wear cost of equipment operation and the cost of equipment switching are also considered. Then, under the first constraint condition, a first objective function needs to be established to transform it into a problem of solving the optimal solution. Among them, the first objective function aims to minimize the overall operating cost of the enterprise, including power consumption, equipment wear, adjustment operation cost, etc., while maximizing the economic revenue obtained by the enterprise through its adjustable capacity participating in the power market. Among them, the calculation formula of the first objective function is as follows:

[0092]

[0093] Where: Indicates the revenue coefficient of the enterprise's products per hour; Indicates the product cost coefficient of the enterprise's products per hour; Indicates the regulation price coefficient per hour; Indicates the regulation cost coefficient; Indicates the equipment wear cost coefficient; Indicates the cost coefficient for each equipment switch; Indicates the number of equipment switches.

[0094] Exemplarily, based on the second constraint condition included in the air purification system optimization model, the load adjustment capacity and the operating power in the next time period of the air purification system can be determined according to the operating power and the workshop cleanliness of the air purification system in the current time period.

[0095] The energy consumption of the air purification system in the workshop of an integrated circuit enterprise accounts for a relatively high proportion, and there is significant room for optimizing its electricity cost. However, considering the importance of the air purification system in ensuring product quality, the optimization of its operation strategy must be carried out carefully to ensure that the production quality is not sacrificed while reducing the electricity cost. For the factory, it is necessary to ensure product quality first, and the air purification system, as an auxiliary system, cooperates with the factory's production. Therefore, the air purification system can be optimized based on the results of the daily advance scheduling of the workshop and combined with the time-of-use electricity price strategy.

[0096] Optionally, the second constraint condition includes at least one of the following:

[0097] The gear constraint condition of the air purification system;

[0098] The production power range constraint condition;

[0099] The continuous constraint condition of the workshop cleanliness;

[0100] The cleanliness range constraint condition.

[0101] Regarding the gear constraint condition of the air purification system, first of all, as a motor-driven multi-gear controllable load, the selection of different gears of the air purification system is directly related to the power of the system. Therefore, the reasonable selection of the system gear is crucial for optimizing power consumption and reducing operating costs. Since only one gear can be selected in each time period, the gear selection of the air purification system is restricted by the following calculation formula.

[0102]

[0103] Among them, represents the set of all gears; is a binary variable indicating whether gear is selected at time .

[0104] Regarding the production power range constraint condition, the operating power of the workshop production is jointly determined by the baseline power and the adjustable power submitted to the grid side, and the calculation formula for its operating power range is as follows:

[0105]

[0106] Where: represents the production power of the workshop at time t; B p,t represents the workshop power baseline at time t; λ p,t represents the adjustable power submitted by the workshop to the grid side at time t.

[0107] Regarding the continuous constraint conditions of the workshop cleanliness, the cleanliness of the production workshop is crucial for the production of the integrated circuit workshop. In particular, the particulate matter level in the workshop air will directly affect the product quality. Therefore, it is necessary to strictly control the cleanliness of the production workshop. At the same time, considering the continuity requirements of the workshop cleanliness, we set the following formula restrictions on the workshop cleanliness.

[0108]

[0109] Where: represents the cleanliness of the workshop during the time period; represents the system operating power when selecting the air purification system gear ; represents the influence coefficient on the workshop cleanliness when selecting the air purification system gear ; represents the production power influence coefficient on the workshop cleanliness; ISO t+1 represents the cleanliness of the workshop during the time period t + 1.

[0110] Regarding the cleanliness range constraint conditions, the cleanliness of the production workshop needs to be maintained within the range required by the workshop production process to ensure the product quality. The calculation formula is as follows:

[0111]

[0112] Where: represents the lower limit of the workshop cleanliness; represents the upper limit of the workshop cleanliness.

[0113] The second objective function of the air purification system aims to minimize the power consumption cost of the system on the premise of meeting the workshop cleanliness requirements. This second objective function optimizes the system operation gear and scheduling strategy, considers time-of-use electricity prices to reduce electricity costs, and at the same time ensures that the cleanliness is within the set upper and lower limit constraints, neither affecting the production quality nor causing unnecessary resource waste. The optimization results of the second objective function can guide the real-time scheduling of the system to achieve power cost optimization. Among them, the calculation formula of the second objective function is as follows:

[0114]

[0115] Where: λ E,t represents the electricity price on the grid side at time t.

[0116] It should be noted that: the power baseline of each equipment combination varies according to the equipment configuration and production requirements in the workshop.

[0117] Step 203: Initiate a load regulation request to the grid side according to the load regulation capacity corresponding to each target system.

[0118] Among them, the load regulation request includes the declared capacity regulation information.

[0119] Exemplarily, calculate the load regulation capacity corresponding to each target system for each time period (for example, each hour or half an hour can be set as a regulation time period), and then initiate a load regulation request to the grid side.

[0120] In this embodiment, the load regulation capacities corresponding to each target system can be summed up to determine the overall load regulation capacity; then, according to the overall load regulation capacity, initiate a load regulation request to the grid side.

[0121] Step 204: Generate adjustment instructions for each target system when receiving the regulation instruction information feedback from the grid side.

[0122] In this embodiment, the management center of the integrated circuit enterprise generates adjustment instructions for each target system when receiving the regulation instruction information feedback from the grid side. Among them, the regulation instruction information includes the target regulation capacity of the load. The target regulation capacity is not greater than the load regulation capacity declared by the integrated circuit enterprise to the grid.

[0123] Step 205: Send the adjustment instructions to the target system.

[0124] Among them, the adjustment instructions are used to instruct the target system to regulate the load according to the target regulation capacity.

[0125] In this embodiment, the strategy of dynamically adjusting the power baseline according to the production cost enables the integrated circuit enterprise to maximize resource utilization when the cost is low and minimize resource consumption when the cost is high, thereby optimizing the production cost and resource use efficiency. The production equipment and air purification system of the integrated circuit enterprise are uniformly scheduled and optimized to ensure global energy consumption optimization and cost control without affecting production quality and continuity.

[0126] In the above method for multi-system load regulation, the current operating data of each target system is obtained; according to the current operating data, the load regulation capacity corresponding to each target system is determined; thus, the load regulation capacities of multiple target systems in a complex industrial environment can be determined, facilitating subsequent targeted load regulation. According to the load regulation capacity corresponding to each target system, a load regulation request is sent to the grid side; the load regulation request includes the declared capacity regulation information; thus, according to the changes in production requirements, a load regulation request can be dynamically sent to the grid side, enabling flexible adjustment of the load of the target system. When receiving the regulation instruction information feedback from the grid side, a regulation instruction for each target system is generated; the regulation instruction information includes the target regulation capacity of the load; thus, targeted load regulation can be performed on each target system. The regulation instruction is sent to the target system; the regulation instruction is used to instruct the target system to regulate the load according to the target regulation capacity. Thus, it can be applied to the complex industrial scenario of an integrated circuit factory, uniformly regulate the load of each system in the integrated circuit factory, and effectively balance the continuity of production, product quality, and energy-saving effect in the integrated circuit factory.

[0127] In another exemplary embodiment, as Figure 3 shown, a method for multi-system load regulation is provided. Taking the management center of an integrated circuit enterprise in Figure 1 as an example, the method includes the following steps 301 to step 305. Among them:

[0128] Step 301: Obtain the current operating data of each target system.

[0129] Step 302: Determine the load regulation capacity corresponding to each target system according to the current operating data.

[0130] Step 303: Send a load regulation request to the grid side according to the load regulation capacity corresponding to each target system.

[0131] Step 304: When receiving the regulation instruction information feedback from the grid side, generate a regulation instruction for each target system.

[0132] Step 305: Send the regulation instruction to the target system.

[0133] For the specific implementation process and technical effects of steps 301 to step 305 in the embodiments of this application, please refer to Figure 2 the relevant descriptions of steps 201 to step 205 in the method embodiment shown, which will not be elaborated here.

[0134] Step 306: The target system adjusts the current operating parameters according to the regulation instruction, and after a preset time period, returns to execute step 301.

[0135] Among them, the preset time period can be an artificially set interval period, or a target time period when a triggering condition is met (such as a change in the power baseline caused by factors such as electricity price fluctuations or changes in production demand).

[0136] In this embodiment, by integrating the operation of production equipment and the air purification system, the energy consumption and operating costs of the enterprise are comprehensively optimized, and the load strategy can be flexibly adjusted according to real-time electricity price fluctuations. In addition, the method in this embodiment also realizes effective reduction of energy consumption while ensuring the stability of the high-precision production environment through the control algorithms of the enterprise production power and the air purification system, comprehensively improving the production efficiency and market competitiveness of the integrated circuit factory. In addition, when optimizing the scheduling in this embodiment, not only economic factors are considered, but also the continuity of the production process and the stability of product quality are ensured, enabling the enterprise to maintain efficient and stable production operations in a dynamic market environment.

[0137] It should be understood that although the steps in the flowcharts involved in the above-described embodiments are sequentially shown according to the indications of the arrows, these steps do not necessarily need to be executed in the order indicated by the arrows. Unless there is a clear indication in this article, the execution of these steps has no strict order limit, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-described embodiments may include multiple steps or multiple stages. These steps or stages do not necessarily need to be executed at the same moment, but can be executed at different moments. The execution order of these steps or stages does not necessarily need to be sequential, but can be executed alternately or in turn with at least a part of other steps or steps or stages in other steps.

[0138] Based on the same inventive concept, the embodiment of the present application also provides a multi-system load regulation device for implementing the method for multi-system load regulation involved above. The solution provided by this device for solving problems is similar to the solution described in the above method. Therefore, the specific limitations in one or more embodiments of the multi-system load regulation device provided below can refer to the limitations on the method for multi-system load regulation in the above text, and will not be repeated here.

[0139] In an exemplary embodiment, as Figure 4 shown, a multi-system load regulation device is provided, including: an acquisition module 401, a determination module 402, a sending module 403, and an adjustment instruction generation module 404, where:

[0140] The acquisition module 401 is used to acquire the current operation data of each target system;

[0141] A determination module 402, configured to determine the load regulation capacity corresponding to each target system according to the current operation data;

[0142] A sending module 403, configured to initiate a load regulation request to the grid side according to the load regulation capacity corresponding to each target system; the load regulation request includes declared capacity regulation information;

[0143] An adjustment instruction generation module 404, configured to generate adjustment instructions for each target system when receiving the regulation indication information fed back by the grid side; the regulation indication information includes the target regulation capacity of the load;

[0144] The sending module 403 is further configured to send the adjustment instructions to the target system; the adjustment instructions are used to instruct the target system to regulate the load according to the target regulation capacity.

[0145] Exemplarily, the target system includes: several device combinations selected from an air purification system and a production system; the acquisition module 401 is specifically configured to acquire the operating power, power baseline, inventory quantity of each device combination in the current period, and acquire the production power and workshop cleanliness of the air purification system in the current period.

[0146] Exemplarily, the determination module 402 is specifically configured to determine the load regulation capacity and the operating power of the next period of each device combination based on the first constraint conditions included in the production workshop's day-ahead scheduling model according to the operating power, power baseline, and inventory quantity of each device combination in the current period; and / or,

[0147] Based on the second constraint conditions included in the air purification system optimization model, determine the load regulation capacity and the operating power of the next period of the air purification system according to the operating power and workshop cleanliness of the air purification system in the current period;

[0148] Among them, the power baseline of each device combination changes according to the configuration of the devices in the workshop and the production requirements.

[0149] Exemplarily, the first constraint conditions include at least one of the following:

[0150] Power baseline selection constraint conditions;

[0151] Adjustable capacity constraint conditions;

[0152] Workshop production continuity constraint conditions;

[0153] Inventory management constraint conditions.

[0154] Exemplarily, the second constraint conditions include at least one of the following:

[0155] Air purification system gear constraint conditions;

[0156] Production power range constraint conditions;

[0157] Continuous workshop cleanliness constraint conditions;

[0158] Cleanliness range constraint conditions.

[0159] Exemplarily, the sending module 403 is specifically configured to sum up the load regulation capacities corresponding to each target system to determine the overall load regulation capacity; and initiate a load regulation request to the grid side according to the overall load regulation capacity.

[0160] Each module in the above multi-system load regulation device can be implemented in whole or in part by software, hardware, and their combination. Each of the above modules can be embedded in the processor of the computer device in hardware form or be independent of it, or can be stored in the memory of the computer device in software form, so that the processor can call and execute the operations corresponding to each of the above modules.

[0161] In an exemplary embodiment, a computer device is provided. The computer device can be a terminal, and its internal structure diagram can be as Figure 5 shown. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit, and an input device. Among them, the processor, the memory, and the input / output interface are connected through a system bus, and the communication interface, the display unit, and the input device are connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used for the processor to exchange information with external devices. The communication interface of the computer device is used for wired or wireless communication with external terminals, and the wireless method can be implemented through WIFI, a mobile cellular network, near field communication (NFC), or other technologies. The computer program, when executed by the processor, implements a multi-system load regulation method. The display unit of the computer device is used to form a visually visible picture, which can be a display screen, a projection device, or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen. The input device of the computer device can be a touch layer covered on the display screen, or a button, a trackball, or a touchpad provided on the housing of the computer device, or an external keyboard, touchpad, or mouse, etc.

[0162] Those skilled in the art can understand, Figure 5The structure shown is only a block diagram of some structures related to the solution of this application, and does not constitute a limitation on the computer device to which the solution of this application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine some components, or have different component arrangements.

[0163] In an exemplary embodiment, a computer device is provided, including a memory and a processor. A computer program is stored in the memory, and when the processor executes the computer program, the steps in the above method embodiments are implemented.

[0164] In an embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0165] In an embodiment, a computer program product is provided, including a computer program. When the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0166] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use, and processing of relevant data need to comply with relevant regulations.

[0167] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, database, or other medium used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The databases involved in the embodiments provided in this application can include at least one of relational databases and non-relational databases. Non-relational databases can include distributed databases based on blockchain, etc., without limitation. The processors involved in the embodiments provided in this application can be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, data processing logics based on quantum computing, artificial intelligence (AI) processors, etc., without limitation.

[0168] The technical features of the above embodiments can be combined arbitrarily. For the sake of concise description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered to be within the scope recorded in this application.

[0169] The above-described embodiments merely represent several implementation manners of the present application. The description thereof is relatively specific and detailed, but it should not be construed as a limitation on the patent scope of the present application. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present application, several modifications and improvements can still be made, and these all fall within the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the appended claims.

Claims

1. A method for multi-system load control, characterized in that: The method comprises: Obtain the current operating data of each target system; Determine the load regulation capacity corresponding to each target system according to the current operation data; Initiate a load regulation request to the power grid side according to the load regulation capacity corresponding to each target system; the load regulation request includes the declared capacity regulation information; Upon receiving the control instruction information fed back from the power grid side, generating a control instruction for each target system; the control instruction information includes a target control capacity of the load; The adjustment instruction is issued to the target system; the adjustment instruction is used to instruct the target system to adjust the load according to the target adjustment capacity.

2. The method according to claim 1, characterized in that The target system includes: an air purification system and a combination of several equipment selected from the production system; The obtaining of the current operation data of each target system includes: Obtain the operating power, power baseline, and inventory quantity of each equipment combination in the current period, as well as the production power and workshop cleanliness of the air purification system in the current period.

3. The method according to claim 2, characterized in that Determining the load regulation capacity corresponding to each target system according to the current operation data includes: Based on the first constraint condition included in the day-ahead scheduling model of the production workshop, the load regulation capacity of each equipment combination and the operating power of the next period are determined according to the operating power, power baseline, and inventory quantity of each equipment combination in the current period; and / or, Based on the second constraint condition included in the air purification system optimization model, the load adjustment capacity of the air purification system and the operating power of the next time period are determined according to the operating power of the air purification system in the current time period and the cleanliness of the workshop; Among them, the power baseline of each equipment combination varies according to the configuration of the equipment in the workshop and production requirements.

4. The method according to claim 3, characterized in that The first constraint condition includes at least one of the following: Power baseline selection constraints; Adjustable capacity constraints; Continuous constraints on workshop production; Inventory management constraints.

5. The method according to claim 3, characterized in that: The second constraint condition includes at least one of the following: Air purification system gear constraints; Production power range constraints; Continuous constraints on workshop cleanliness; Cleanliness range constraints.

6. The method according to any one of claims 1 to 5, characterized in that: The initiating a load regulation request to the power grid side according to the load regulation capacity corresponding to each target system includes: The load regulation capacity corresponding to each target system is summed up to determine the overall load regulation capacity; According to the overall load regulation capacity, a load regulation request is initiated to the power grid side.

7. A device for multi-system load control, characterized in that: The device comprises: The acquisition module is used to obtain the current operation data of each target system; A determination module, used to determine the load regulation capacity corresponding to each target system according to the current operation data; A sending module, used to initiate a load regulation request to the power grid side according to the load regulation capacity corresponding to each target system; the load regulation request includes the declared capacity regulation information; A regulation instruction generation module is used to generate regulation instructions for each target system when receiving regulation instruction information fed back from the power grid side; the regulation instruction information includes a target regulation capacity of the load; The sending module is further used to send the adjustment instruction to the target system; the adjustment instruction is used to instruct the target system to adjust the load according to the target adjustment capacity.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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