Power demand response method and device, equipment and storage medium

Abstract

The invention discloses a power demand response method, device and equipment and a storage medium, and the method comprises the steps: determining a power regulation and control time period and a power regulation and control demand of a current region, and obtaining the product production loss and the planned production task of each piece of production equipment in a textile mill of the current region, determining the planned yield of the corresponding production equipment according to each planned production task; according to each planned production task, the at least two candidate weights of the planned production task and the production loss of each product, calculating the production progress of the corresponding production equipment, and obtaining at least two production progresses of each production equipment; calculating candidate yields of the corresponding production devices according to the planned yields of the production devices and the at least two production schedules to obtain at least two candidate yields of the production devices; and selecting a target yield in the power regulation and control time period for the corresponding production equipment from the at least two candidate yields according to the power regulation and control demand. According to the technical scheme, the production plan can be quickly and accurately adjusted according to the power demand response policy.

Description

Technical Field

[0001] Embodiments of the present invention relate to the field of power grid technology, and in particular to a power demand response method, device, equipment and storage medium. Background Art

[0002] With the acceleration of global industrialization and the widespread use of renewable energy, the textile industry, as an important part of traditional manufacturing, has become increasingly complex in terms of power demand and supply management. In daily production, textile factories must not only ensure sufficient power supply to maintain normal production, but also actively respond to the power demand response policy of the power grid to achieve optimal energy allocation, reduce carbon emissions and improve overall energy efficiency.

[0003] However, existing electricity demand response methods mainly rely on the experience of factory managers or engineers to adjust the production plan of the textile factory, that is, to determine the target output of each production equipment in the textile factory. Although this method is simple, it is difficult to adjust the production plan quickly and accurately.

[0004] Therefore, it is urgent to propose a new method to solve the above problems. Summary of the invention

[0005] The present invention provides a power demand response method, device, equipment and storage medium, which can quickly and accurately adjust the production plan according to the power demand response policy.

[0006] In a first aspect, an embodiment of the present invention provides a method for responding to power demand, comprising:

[0007] Determine the power control period and power control demand of the current area, and obtain the product production loss and planned production tasks of each production equipment in the textile factory in the current area, wherein the planned production tasks have at least two candidate weights;

[0008] Determine the planned output of the corresponding production equipment during the power control period according to the planned production tasks of each production equipment;

[0009] Calculate the production progress of the corresponding production equipment in the power control period according to the planned production tasks of each production equipment, at least two candidate weights of the planned production tasks and the product production loss of each production equipment, and obtain at least two production progress of each production equipment;

[0010] Calculate the candidate output of the corresponding production equipment in the power control period according to the planned output of each production equipment in the power control period and at least two production schedules, and obtain at least two candidate outputs of each production equipment;

[0011] According to the power control demand, a target output in the power control period is selected for the corresponding production equipment from at least two candidate outputs of each production equipment.

[0012] The technical solution of the present invention first determines the power control period and power control demand of the current area, and obtains the product production loss and planned production tasks of each production equipment in the textile factory in the current area, providing a data basis for determining the planned output and at least two production schedules of each production equipment in the power control period. Then, the planned output of the corresponding production equipment in the power control period is determined according to the planned production tasks of each production equipment, providing a data basis for determining at least two candidate outputs of each production equipment. Then, the production schedule of the corresponding production equipment in the power control period is calculated according to the planned production tasks of each production equipment, at least two candidate weights of the planned production tasks and the product production loss of each production equipment, and at least two production schedules of each production equipment are obtained, providing a data basis for determining at least two candidate outputs of each production equipment. Then, the candidate output of the corresponding production equipment in the power control period is calculated according to the planned output and at least two production schedules of each production equipment in the power control period, and at least two candidate outputs of each production equipment are obtained, providing a data basis for determining the target output of each production equipment in the power control period. Finally, according to the power control demand, the target output of the corresponding production equipment in the power control period is selected from at least two candidate outputs of each production equipment, so that the production plan of the textile factory can be adjusted in time according to the power control demand, so as to better respond to the power demand response policy of the power grid, which is helpful to maintain the stable operation of the power grid and reduce the negative impact of the imbalance of power supply and demand. Compared with the prior art, although the production plan of the textile factory can be adjusted by the experience of engineers, this method is difficult to adjust the production plan quickly and accurately. The present invention first determines the planned output of the corresponding production equipment in the power control period according to the planned production tasks of each production equipment, and calculates at least two production schedules of the corresponding production equipment in the power control period according to the planned production tasks of each production equipment, at least two candidate weights of the planned production tasks and product production losses, and then calculates at least two candidate outputs of the corresponding production equipment in the power control period according to the planned output of each production equipment and at least two production schedules, and then selects the target output of the corresponding production equipment in the power control period from at least two candidate outputs of each production equipment according to the power control demand, so as to realize the automatic adjustment of the production plan of the textile factory, ensure the accuracy and timeliness of the production plan adjustment, effectively reduce the burden of manual scheduling, and help the textile factory actively respond to the power demand response policy and establish a good corporate image. Moreover, by flexibly adjusting production plans (such as reducing production load during peak electricity periods to reduce energy consumption, and increasing production during low electricity periods to improve efficiency), it can also help textile mills reduce costs and improve market competitiveness.

[0013] In a second aspect, an embodiment of the present invention further provides a power demand response device, the device comprising:

[0014] An acquisition module, used to determine the power control period and power control demand of the current area, and to acquire the product production loss and planned production tasks of each production equipment in the textile factory in the current area, wherein the planned production tasks have at least two candidate weights;

[0015] A planned output determination module, used to determine the planned output of the corresponding production equipment in the power control period according to the planned production tasks of each production equipment;

[0016] A production schedule determination module, configured to calculate the production schedule of the corresponding production equipment during the power control period according to the planned production tasks of each production equipment, at least two candidate weights of the planned production tasks and the product production loss of each production equipment, and obtain at least two production schedules of each production equipment;

[0017] A candidate production determination module is used to calculate the candidate production of the corresponding production equipment in the power control period according to the planned production of each production equipment in the power control period and at least two production schedules, and obtain at least two candidate productions of each production equipment;

[0018] The target output determination module is used to select a target output in the power regulation period for the corresponding production equipment from at least two candidate outputs of each production equipment according to the power regulation demand.

[0019] In a third aspect, an embodiment of the present invention further provides an electronic device, the electronic device comprising:

[0020] at least one processor; and a memory communicatively coupled to the at least one processor;

[0021] The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can implement any of the power demand response methods described in the first aspect.

[0022] In a fourth aspect, an embodiment of the present invention further provides a storage medium including computer executable instructions,

[0023] The computer executable instructions, when executed by a computer processor, implement any of the power demand response methods described in the first aspect.

[0024] It should be noted that the above computer instructions may be stored in whole or in part on a computer-readable storage medium. The computer-readable storage medium may be packaged together with the processor of the power demand response device, or may be packaged separately from the processor of the power demand response device, and this application does not limit this.

[0025] The description of the second, third and fourth aspects in this application can refer to the detailed description of the first aspect; and the beneficial effects of the description of the second, third and fourth aspects can refer to the beneficial effect analysis of the first aspect, which will not be repeated here.

[0026] In this application, the name of the above-mentioned power demand response device does not limit the device or functional module itself. In actual implementation, these devices or functional modules may appear with other names. As long as the functions of each device or functional module are similar to those of this application, they fall within the scope of the claims of this application and their equivalent technologies.

[0027] These and other aspects of the present application will become more apparent from the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0029] Figure 1 A flow chart of a power demand response method provided by an embodiment of the present invention;

[0030] Figure 2 A flowchart of another power demand response method provided by an embodiment of the present invention;

[0031] Figure 3 A schematic diagram of the structure of a power demand response device provided by an embodiment of the present invention;

[0032] Figure 4 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0033] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It is to be understood that the specific embodiments described herein are only used to explain the present invention, rather than to limit the present invention. It should also be noted that, for ease of description, only parts related to the present invention, rather than all structures, are shown in the accompanying drawings.

[0034] The term "and / or" in this article is merely a description of the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone.

[0035] The terms "first" and "second" and the like in the specification and drawings of this application are used to distinguish different objects, or to distinguish different processing of the same object, rather than to describe a specific order of objects.

[0036] In addition, the terms "including" and "having" and any variations thereof mentioned in the description of the present application are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but may optionally include other steps or units that are not listed, or may optionally include other steps or units that are inherent to these processes, methods, products or devices.

[0037] It should be mentioned before discussing exemplary embodiments in more detail that some exemplary embodiments are described as processes or methods depicted as flow charts. Although the flow charts describe various operations (or steps) as sequential processes, many operations therein can be implemented in parallel, concurrently or simultaneously. In addition, the order of various operations can be rearranged. The process can be terminated when its operation is completed, but can also have additional steps not included in the accompanying drawings. The process can correspond to methods, functions, procedures, subroutines, subprograms, etc. In addition, the embodiments in the present invention and the features in the embodiments can be combined with each other without conflict.

[0038] It should be noted that, in the embodiments of the present application, words such as "exemplary" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a specific way.

[0039] In the description of the present application, unless otherwise specified, “plurality” means two or more.

[0040] Figure 1 This is a flow chart of a power demand response method provided by an embodiment of the present invention. This embodiment can be applied to situations where it is necessary to automatically adjust the production plan of a textile factory according to the power demand response policy of the power grid. The method can be executed by a power demand response device, which can be implemented in software and / or hardware. For example, the device can be a computer or a server. Figure 1The power demand response method of this embodiment specifically includes the following steps:

[0041] Step 110: determine the power control period and power control demand of the current area, and obtain the product production loss and planned production tasks of each production equipment in the textile factory in the current area.

[0042] Specifically, the planned production task has at least two candidate weights. The current area refers to the geographical area where the textile factory is located. The power regulation period refers to the time period set according to the actual situation or demand in order to balance the supply and demand of the power grid. For example: 18:00-19:00 on September 26, 2024. Power regulation requirements include reducing power consumption and increasing power consumption. Production equipment refers to mechanical equipment used to complete production tasks in a textile factory. For example, production equipment can be a spinning machine or a loom. The product production loss of production equipment refers to the loss rate of the reduction in the number of products due to various reasons (such as equipment wear, raw material quality, improper operation, etc.) during the production process. The planned production task of the production equipment refers to the specific production task plan set by the user for the production equipment according to the actual situation or demand. For example, the planned production task includes the planned production quantity and its candidate weights in each time period. The candidate weight refers to the weight value assigned by the user to the corresponding planned production task according to the actual situation or demand.

[0043] In the specific implementation, the power control period and power control demand of the current area can be obtained from the information release platform in the smart grid system of the current area, and the product production loss and planned production tasks of each production equipment in the textile factory in the current area can be obtained through the production database of the textile factory.

[0044] In this embodiment, by determining the power control period and power control demand in the current area, and obtaining the product production losses and planned production tasks of each production equipment in the textile factory in the current area, a data basis is provided for subsequently determining the planned output and at least two production schedules of each production equipment in the power control period.

[0045] Step 120: Determine the planned output of the corresponding production equipment during the power control period according to the planned production tasks of each production equipment.

[0046] Specifically, the planned output of a production equipment refers to the production output determined according to the planned production tasks of the production equipment.

[0047] In the specific implementation, for the current production equipment, if the planned production task of the current production equipment is unique, the planned production quantity in the time period corresponding to the power control period in the planned production task is directly determined as the planned output of the current production equipment in the power control period. If the planned production task of the current production equipment is not unique, the sum of the planned production quantities in the time period corresponding to the power control period in each planned production task is calculated to obtain the planned output of the current production equipment in the power control period. Specifically, the planned output of the current production equipment in the power control period can be calculated by the following formula.

[0048]

[0049] Where D(t) represents the planned output of the current production equipment during the power control period, Q i (t) represents the planned output of the ith planned production task during the power control period, n represents the number of planned production tasks, and t represents the power control period.

[0050] In this embodiment, the planned output of the corresponding production equipment during the power control period is determined according to the planned production tasks of each production equipment, which provides a data basis for subsequently determining at least two candidate outputs of each production equipment.

[0051] Step 130, calculate the production progress of the corresponding production equipment during the power control period according to the planned production tasks of each production equipment, at least two candidate weights of the planned production tasks and the product production loss of each production equipment, and obtain at least two production progress of each production equipment.

[0052] Specifically, production progress refers to a parameter that reflects the speed at which production activities progress.

[0053] In the specific implementation, if the planned production task is unique, then for the current production equipment and the current candidate weight of the planned production task of the current production equipment, the product of the planned output of the planned production task of the current production equipment, the current candidate weight corresponding to the planned production task of the current production equipment and the product production loss of the current production equipment can be calculated to obtain a production schedule of the current production equipment in the power control period. Then, the other candidate weights of the planned production task of the current production equipment are traversed in turn, and the aforementioned steps of calculating the production progress are repeated to obtain other production schedules of the current production equipment in the power control period, thereby obtaining at least two production schedules of the current production equipment in the power control period.

[0054] If the planned production task is not unique, then for the current production equipment, the production progress of the current production equipment during the power control period can be calculated according to the following formula:

[0055]

[0056] Among them, P(t) represents the production progress of the current production equipment during the power control period, Q i (t) represents the planned output of the ith planned production task during the power control period, n represents the number of planned production tasks, E represents the product production loss of the current production equipment, and W i It represents the current candidate weight of the ith planned production task. Then, the other candidate weights of the planned production tasks of the current production equipment are traversed in turn to obtain at least two production schedules of the current production equipment in the power control period.

[0057] In this embodiment, the production progress of the corresponding production equipment during the power control period is calculated based on the planned production tasks of each production equipment, at least two candidate weights of the planned production tasks and the product production losses of each production equipment, and at least two production progresses of each production equipment are obtained, providing a data basis for subsequently determining at least two candidate outputs of each production equipment.

[0058] Step 140: Calculate the candidate output of the corresponding production equipment in the power control period according to the planned output of each production equipment in the power control period and at least two production schedules, and obtain at least two candidate outputs of each production equipment.

[0059] Specifically, the candidate output refers to the output that can be produced by the production equipment within the power control period, which is determined based on the planned output and production schedule of the production equipment.

[0060] In a specific implementation, for the current production equipment, first, the attribute information (such as the equipment model) of the current production equipment can be obtained through the configuration file or technical manual of the current production equipment. Secondly, according to the attribute information of the current production equipment, the linear regression function of the planned output, production progress and candidate output of the current production equipment can be queried from the database storing the linear regression function of the planned output, production progress and candidate output of each production equipment (where the planned output and production progress are independent variables and the candidate output is the dependent variable). Thirdly, for the current production progress of the current production equipment in the power control period, the planned output of the current production equipment in the power control period and the current production progress of the current production equipment in the power control period are brought into the aforementioned determined linear regression function to obtain a candidate output of the current production equipment in the power control period. Then, the other production progresses of the planned production tasks of the current production equipment are traversed in turn, and the aforementioned steps of calculating the candidate outputs are repeated to obtain other candidate outputs of the current production equipment in the power control period, thereby obtaining at least two candidate outputs of the current production equipment.

[0061] It should be noted that the linear regression function of the planned output, production schedule and candidate output of each production equipment is determined based on the historical data of the historical planned output, historical production schedule and historical candidate output of each production equipment.

[0062] In this embodiment, the candidate output of the corresponding production equipment during the power control period is calculated based on the planned output of each production equipment during the power control period and at least two production schedules, and at least two candidate outputs of each production equipment are obtained, which provides a data basis for subsequently determining the target output of each production equipment during the power control period.

[0063] Step 150: Select a target output in the power regulation period for the corresponding production equipment from at least two candidate outputs of each production equipment according to the power regulation demand.

[0064] Specifically, the target output refers to the production output that the production equipment selected from the candidate outputs should achieve within the power regulation period based on the power regulation demand.

[0065] In a specific implementation, for the current production equipment, when the power regulation demand is to increase power consumption, the maximum value of at least two candidate outputs of the current production equipment can be determined as the target output of the current production equipment in the power regulation period. When the power regulation demand is to reduce power consumption, the minimum value of at least two candidate outputs of the current production equipment can be determined as the target output of the current production equipment in the power regulation period.

[0066] In this embodiment, the target output during the power regulation period is selected for the corresponding production equipment from at least two candidate outputs of each production equipment according to the power regulation demand, so as to timely adjust the production plan of the textile factory according to the power regulation demand, thereby better responding to the power demand response policy of the power grid, helping to maintain the stable operation of the power grid and reduce the negative impact of the imbalance between power supply and demand.

[0067] In an embodiment of the present invention, the power control period and power control demand of the current area are first determined, and the product production loss and planned production tasks of each production equipment in the textile factory in the current area are obtained, so as to provide a data basis for determining the planned output and at least two production schedules of each production equipment in the power control period. Then, the planned output of the corresponding production equipment in the power control period is determined according to the planned production tasks of each production equipment, so as to provide a data basis for determining at least two candidate outputs of each production equipment. Then, the production schedule of the corresponding production equipment in the power control period is calculated according to the planned production tasks of each production equipment, at least two candidate weights of the planned production tasks and the product production loss of each production equipment, so as to obtain at least two production schedules of each production equipment, so as to provide a data basis for determining at least two candidate outputs of each production equipment. Then, the candidate output of the corresponding production equipment in the power control period is calculated according to the planned output and at least two production schedules of each production equipment in the power control period, so as to obtain at least two candidate outputs of each production equipment, so as to provide a data basis for determining the target output of each production equipment in the power control period. Finally, according to the power control demand, the target output of the corresponding production equipment in the power control period is selected from at least two candidate outputs of each production equipment, so that the production plan of the textile factory can be adjusted in time according to the power control demand, so as to better respond to the power demand response policy of the power grid, which is helpful to maintain the stable operation of the power grid and reduce the negative impact of the imbalance of power supply and demand. Compared with the prior art, although the production plan of the textile factory can be adjusted by the experience of engineers, this method is difficult to adjust the production plan quickly and accurately. The present invention first determines the planned output of the corresponding production equipment in the power control period according to the planned production tasks of each production equipment, and calculates at least two production schedules of the corresponding production equipment in the power control period according to the planned production tasks of each production equipment, at least two candidate weights of the planned production tasks and product production losses, and then calculates at least two candidate outputs of the corresponding production equipment in the power control period according to the planned output of each production equipment and at least two production schedules, and then selects the target output of the corresponding production equipment in the power control period from at least two candidate outputs of each production equipment according to the power control demand, so as to realize the automatic adjustment of the production plan of the textile factory, ensure the accuracy and timeliness of the production plan adjustment, effectively reduce the burden of manual scheduling, and help the textile factory actively respond to the power demand response policy and establish a good corporate image. Moreover, by flexibly adjusting production plans (such as reducing production load during peak electricity periods to reduce energy consumption, and increasing production during low electricity periods to improve efficiency), it can also help textile mills reduce costs and improve market competitiveness.

[0068] Figure 2 A flowchart of another power demand response method provided in an embodiment of the present invention, which is specific based on the above embodiment. In this embodiment, the method may also include:

[0069] Step 211: determine the power control period and power control demand of the current area, and obtain the product production loss and planned production tasks of each production equipment in the textile factory in the current area.

[0070] Specifically, the planned production task has at least two candidate weights.

[0071] Step 212: Determine the planned output of the corresponding production equipment during the power control period according to the planned production tasks of each production equipment.

[0072] Step 213, for the current production equipment and the current candidate weight of the planned production task of the current production equipment, determine a production progress of the current production equipment during the power control period according to the planned output of the planned production task of the current production equipment, the product of the current candidate weight corresponding to the planned production task of the current production equipment and the product production loss of the current production equipment.

[0073] In a specific implementation, for the current production equipment and the current candidate weight of the planned production task of the current production equipment, the production schedule of the current production equipment during the power control period can be determined according to the product of the planned output of the planned production task of the current production equipment, the current candidate weight corresponding to the planned production task of the current production equipment, and the product production loss of the current production equipment. The specific calculation formula is as follows:

[0074]

[0075] Among them, P(t) represents the production progress of the current production equipment during the power control period, Q i (t) represents the planned output of the ith planned production task during the power control period, n represents the number of planned production tasks, E represents the product production loss of the current production equipment, and W i Represents the current candidate weight of the i-th planned production task.

[0076] Step 214: traverse other candidate weights of the planned production tasks of the current production equipment in sequence to obtain at least two production schedules of the current production equipment in the power control period.

[0077] In the specific implementation process, after obtaining a production progress of the current production equipment in the power control period, the other candidate weights of the planned production tasks of the current production equipment can be traversed in turn, and the aforementioned steps of calculating the production progress can be repeated, that is, executing step 213 to obtain other production progress of the current production equipment in the power control period, thereby obtaining at least two production progress of the current production equipment in the power control period.

[0078] For example, if the production equipment is A1, the planned production tasks of A1 are B and C, the candidate weights of B are b1 and b2, the candidate weights of C are c1 and c2, the planned output of B during the power control period is Q1, the planned output of C during the power control period is Q2, the product production loss of A1 is W1, and the two production schedules of A1 are P1 and P2, then it can be determined that P1=Q1×b1×W1+Q2×c1×W1, P2=Q1×b2×W1+Q2×c2×W1.

[0079] For example, if the production equipment is A2, the planned production task of A2 is D, the candidate weights of D are d1 and d2, the planned output of D during the power control period is Q3, the product production loss of A is W2, and the two production schedules of A2 are P3 and P4, then it can be determined that P3=Q3×d1×W2, P4=Q3×d2×W2.

[0080] Step 215: For the current production equipment and the current production progress of the current production equipment in the power control period, the planned output of the current production equipment in the power control period is used as the first independent variable of the linear regression function, and the current production progress of the current production equipment in the power control period is used as the second independent variable of the linear regression function.

[0081] Specifically, the first independent variable refers to the planned output, and the second independent variable refers to the current production schedule. The linear regression function refers to the linear relationship between the independent variable and the dependent variable. In this embodiment, the independent variables are the planned output and the production schedule, and the dependent variable is the candidate output.

[0082] In a specific implementation, for the current production equipment and the current production progress of the current production equipment during the power control period, the attribute information (such as model or name) of the current production equipment can be obtained through the configuration file or technical manual of the current production equipment. Then, according to the attribute information of the current production equipment, the linear regression function of the current production equipment is queried from the database storing the linear regression function of each production equipment. The planned output of the current production equipment during the power control period is used as the first independent variable of the linear regression function, and the current production progress of the current production equipment during the power control period is used as the second independent variable of the linear regression function.

[0083] It should be noted that the linear regression function of the planned output, production progress and candidate output of each production equipment can be determined based on the historical data of the historical planned output, historical production progress and historical candidate output of each production equipment, or can be determined by the staff based on their own work experience.

[0084] Step 216: Obtain a first independent variable coefficient of the planned output of the current production equipment during the power regulation period and a second independent variable coefficient of the current production progress of the current production equipment during the power regulation period.

[0085] Specifically, the first independent variable coefficient refers to the coefficient multiplied by the first independent variable in the linear regression function, which indicates the influence of the first independent variable on the dependent variable, that is, the change in the dependent variable corresponding to a one-unit change in the first independent variable. The second independent variable coefficient refers to the coefficient multiplied by the second independent variable in the linear regression function, which indicates the influence of the second independent variable on the dependent variable, that is, the change in the dependent variable corresponding to a one-unit change in the second independent variable.

[0086] In a specific implementation, the first independent variable coefficient and the second independent variable coefficient of the current production equipment can be queried from a database storing the independent variable coefficients of each production equipment according to the attribute information of the current production equipment or a linear regression function.

[0087] Step 217: Obtain the constant term of the linear regression function.

[0088] Specifically, the constant term refers to a fixed value in the linear regression function that is not affected by changes in the independent variables and represents the value of the dependent variable when all independent variables are zero.

[0089] In a specific implementation, the constant item of the current production equipment can be queried from a database storing the constant items of each production equipment according to the attribute information of the current production equipment or a linear regression function.

[0090] Step 218: Solve the linear regression function based on the constant term, the first independent variable, the first independent variable coefficient, the second independent variable and the second independent variable coefficient to obtain a candidate output of the current production equipment in the power regulation period.

[0091] In a specific implementation, after determining the constant term, the first independent variable, the first independent variable coefficient, the second independent variable and the second independent variable coefficient, these data can be substituted into the linear regression function to obtain a candidate output of the current production equipment during the power regulation period. The linear regression function can be expressed by the following formula:

[0092] S(t)=β1D(t)+β2P(t)+∈

[0093] Among them, S(t) represents the candidate output of the current production equipment in the power control period, D(t) represents the first independent variable (that is, the planned output of the current production equipment in the power control period), P(t) represents the second independent variable (that is, the production progress of the current production equipment in the power control period), β1 represents the coefficient of the first independent variable, β2 represents the coefficient of the second independent variable, ∈ represents the constant term, the constant term includes the intercept term and the error term, the intercept term represents the expected value of S(t) when D(t) and P(t) are zero, and the error term represents the difference between the actual output and the calculated output.

[0094] Step 219, traverse the other production schedules of the current production equipment in sequence to obtain at least two candidate productions of the current production equipment in the power control period.

[0095] In a specific implementation, after obtaining a candidate production of the current production equipment in the power control period, the other production progress of the current production equipment can be traversed in sequence, and the aforementioned steps of calculating the candidate production can be repeated to obtain other candidate productions of the current production equipment in the power control period, thereby obtaining at least two candidate productions of the current production equipment in the power control period.

[0096] Step 220: Select a target output in the power regulation period for the corresponding production equipment from at least two candidate outputs of each production equipment according to the power regulation demand.

[0097] Furthermore, step 220 may specifically include: for the current production equipment, when it is determined that the power regulation demand is to increase power consumption, the maximum value of at least two candidate outputs of the current production equipment is determined as the target output of the current production equipment during the power regulation period; when it is determined that the power regulation demand is to reduce power consumption, the minimum value of at least two candidate outputs of the current production equipment is determined as the target output of the current production equipment during the power regulation period.

[0098] In a specific implementation, after obtaining at least two candidate outputs of the current production equipment in the power control period, it can be determined whether the power control demand is to increase or reduce power consumption. If the power control demand is to increase power consumption, the maximum value of the at least two candidate outputs of the current production equipment is determined as the target output of the current production equipment in the power control period. If the power control demand is to reduce power consumption, the minimum value of the at least two candidate outputs of the current production equipment is determined as the target output of the current production equipment in the power control period.

[0099] In this embodiment, the target output of the production equipment is determined according to the power regulation demand, which can help the textile factory better respond to the power demand response policy.

[0100] Step 221: For the current production equipment, calculate the ratio of the unit product power consumption of the current production equipment to the hourly output to obtain the unit output energy consumption of the current production equipment.

[0101] Specifically, the power consumption per unit product refers to the amount of electricity consumed by the production equipment when producing a unit quantity (such as 1 meter) of products. The hourly output refers to the output produced by the production equipment in a unit time (such as one hour). The energy consumption per unit output refers to the amount of electricity required by the production equipment to produce a unit of output.

[0102] In a specific implementation, for the current production equipment, in actual application, it can be determined that the unit output energy consumption of the current production equipment = the unit product power consumption of the current production equipment / the hourly output of the current production equipment.

[0103] In this embodiment, by obtaining the unit output energy consumption of the current production equipment, a data basis is provided for subsequently obtaining the target power consumption of the current production equipment during the power control period.

[0104] Step 222: Calculate the product of the unit output energy consumption of the current production equipment and the target output to obtain the target power consumption of the current production equipment during the power control period.

[0105] Specifically, the target power consumption refers to the amount of power that the production equipment is expected to consume in order to achieve a predetermined production target (ie, target output) during the power control period.

[0106] In specific implementation, for the current production equipment, in actual application, it can be determined that the target power consumption of the current production equipment during the power control period = the unit output energy consumption of the current production equipment × the target output of the current production equipment during the power control period.

[0107] In this embodiment, by accurately calculating the target power consumption, the enterprise can better respond to the power demand response policy.

[0108] Therefore, the technical solution of the present invention first determines the power control period and power control demand of the current area, and obtains the product production loss and planned production tasks of each production equipment in the textile factory in the current area, providing a data basis for determining the planned output and at least two production schedules of each production equipment in the power control period. Then, the planned output of the corresponding production equipment in the power control period is determined according to the planned production tasks of each production equipment, providing a data basis for determining at least two candidate outputs of each production equipment. Then, for the current production equipment and the current candidate weight of the planned production task of the current production equipment, a production schedule of the current production equipment in the power control period is determined according to the planned output of the planned production task of the current production equipment, the current candidate weight corresponding to the planned production task of the current production equipment, and the product production loss of the current production equipment, and the other candidate weights of the planned production task of the current production equipment are traversed in turn to obtain at least two production schedules of the current production equipment in the power control period, providing a data basis for determining at least two candidate outputs of each production equipment later. Then, for the current production equipment and the current production schedule of the current production equipment in the power control period, the planned output of the current production equipment in the power control period is taken as the first independent variable of the linear regression function, and the current production schedule of the current production equipment in the power control period is taken as the second independent variable of the linear regression function, and the first independent variable coefficient of the planned output of the current production equipment in the power control period and the second independent variable coefficient of the current production schedule of the current production equipment in the power control period are obtained, and the constant term of the linear regression function is obtained. The linear regression function is solved based on the constant term, the first independent variable, the first independent variable coefficient, the second independent variable and the second independent variable coefficient to obtain a candidate output of the current production equipment in the power control period, and the other production schedules of the current production equipment are traversed in turn to obtain at least two candidate outputs of the current production equipment in the power control period, which provides a data basis for determining the target output later. Then, according to the power control demand, the target output in the power control period is selected for the corresponding production equipment from the at least two candidate outputs of each production equipment, which provides a data basis for obtaining the target power consumption of the current production equipment in the power control period later. For the current production equipment, the ratio of the unit product power consumption of the current production equipment to the hourly output is calculated to obtain the unit output energy consumption of the current production equipment. Then calculate the product of the unit output energy consumption of the current production equipment and the target output to obtain the target power consumption of the current production equipment during the power regulation period, which helps enterprises better respond to power demand response policies. Compared with existing technologies, although the production plan of the textile factory can be adjusted based on the experience of engineers, this method is difficult to adjust the production plan quickly and accurately.The present invention first determines the planned output of the corresponding production equipment in the power control period according to the planned production tasks of each production equipment, and calculates at least two production schedules of the corresponding production equipment in the power control period according to the planned production tasks of each production equipment, at least two candidate weights of the planned production tasks and product production losses, and then calculates at least two candidate outputs of the corresponding production equipment in the power control period according to the planned output of each production equipment and at least two production schedules, and then selects the target output in the power control period for the corresponding production equipment from the at least two candidate outputs of each production equipment according to the power control demand, thereby realizing the automatic adjustment of the production plan of the textile factory, ensuring the accuracy and timeliness of the production plan adjustment, effectively reducing the burden of manual scheduling, and helping the textile factory to actively respond to the power demand response policy and establish a good corporate image. Moreover, by flexibly adjusting the production plan (such as reducing the production load during the peak power period to reduce energy consumption, and increasing production during the power trough period to improve efficiency), it can also help the textile factory reduce costs and enhance market competitiveness.

[0109] Figure 3 A schematic diagram of the structure of a power demand response device provided in an embodiment of the present invention. The device and the power demand response methods of the above-mentioned embodiments belong to the same inventive concept. For details not fully described in the embodiments of the power demand response device, reference can be made to the embodiments of the above-mentioned power demand response methods.

[0110] like Figure 3 As shown, the device comprises:

[0111] An acquisition module 310 is used to determine the power control period and power control demand of the current area, and to obtain the product production loss and planned production tasks of each production equipment in the textile factory in the current area, wherein the planned production tasks have at least two candidate weights;

[0112] A planned output determination module 320, configured to determine the planned output of the corresponding production equipment during the power control period according to the planned production tasks of each production equipment;

[0113] The production schedule determination module 330 is used to calculate the production schedule of the corresponding production equipment in the power control period according to the planned production tasks of each production equipment, at least two candidate weights of the planned production tasks and the product production loss of each production equipment, and obtain at least two production schedules of each production equipment;

[0114] A candidate production determination module 340 is used to calculate the candidate production of the corresponding production equipment in the power control period according to the planned production of each production equipment in the power control period and at least two production schedules, and obtain at least two candidate productions of each production equipment;

[0115] The target production determination module 350 is used to select a target production in the power regulation period for the corresponding production equipment from at least two candidate productions of each production equipment according to the power regulation demand.

[0116] Based on the above embodiment, the production progress determination module 330 is specifically used for:

[0117] For the current production equipment and the current candidate weight of the planned production task of the current production equipment, determine a production schedule of the current production equipment in the power regulation period according to the planned output of the planned production task of the current production equipment, the product of the current candidate weight corresponding to the planned production task of the current production equipment and the product production loss of the current production equipment;

[0118] Other candidate weights of the planned production tasks of the current production equipment are traversed in sequence to obtain at least two production schedules of the current production equipment in the power regulation period.

[0119] Based on the above embodiment, the candidate yield determination module 340 is specifically used for:

[0120] For the current production equipment and the current production progress of the current production equipment in the power regulation period, the planned output of the current production equipment in the power regulation period is used as the first independent variable of the linear regression function, and the current production progress of the current production equipment in the power regulation period is used as the second independent variable of the linear regression function;

[0121] Obtaining a first independent variable coefficient of a planned output of the current production equipment during the power regulation period and a second independent variable coefficient of a current production progress of the current production equipment during the power regulation period;

[0122] Solving the linear regression function based on the first independent variable, the first independent variable coefficient, the second independent variable and the second independent variable coefficient to obtain a candidate output of the current production equipment in the power regulation period;

[0123] The other production schedules of the current production equipment are traversed in sequence to obtain at least two candidate productions of the current production equipment in the power regulation period.

[0124] Based on the above embodiment, the candidate production determination module 340 solves the linear regression function based on the first independent variable, the first independent variable coefficient, the second independent variable and the second independent variable coefficient to obtain a candidate production of the current production equipment in the power regulation period, including:

[0125] Obtaining a constant term of the linear regression function;

[0126] The linear regression function is solved based on the constant term, the first independent variable, the first independent variable coefficient, the second independent variable and the second independent variable coefficient to obtain a candidate output of the current production equipment in the power regulation period.

[0127] Based on the above embodiment, the target output determination module 350 is specifically used for:

[0128] For the current production equipment, when it is determined that the power regulation demand is to increase power consumption, the maximum value of at least two candidate outputs of the current production equipment is determined as the target output of the current production equipment in the power regulation period;

[0129] When it is determined that the power regulation demand is to reduce power consumption, the minimum value of at least two candidate production outputs of the current production equipment is determined as the target production output of the current production equipment in the power regulation period.

[0130] Based on the above embodiment, the device further includes:

[0131] The power consumption determination module is used to determine the target power consumption of the corresponding production equipment in the power control period according to the target output and unit output energy consumption of each production equipment after selecting the target output for the corresponding production equipment in the power control period from at least two candidate outputs of each production equipment according to the power control demand.

[0132] On the basis of the above embodiment, the power consumption determination module determines the target power consumption of the corresponding production equipment in the power control period according to the target output and unit output energy consumption of each production equipment, including:

[0133] For the current production equipment, calculate the ratio of the unit product power consumption of the current production equipment to the hourly output to obtain the unit output energy consumption of the current production equipment;

[0134] The product of the unit output energy consumption of the current production equipment and the target output is calculated to obtain the target power consumption of the current production equipment in the power control period.

[0135] The power demand response device provided in the embodiment of the present invention can execute the power demand response method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0136] It is worth noting that in the embodiment of the above-mentioned power demand response device, the various units and modules included are only divided according to functional logic, but are not limited to the above-mentioned division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of the present invention.

[0137] Figure 4 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. Figure 4 A block diagram of an exemplary electronic device 4 suitable for implementing embodiments of the present invention is shown. Figure 4 The electronic device 4 shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0138] like Figure 4 As shown, the electronic device 4 is in the form of a general purpose computing electronic device. The components of the electronic device 4 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, and a bus 18 connecting different system components (including the system memory 28 and the processing unit 16).

[0139] Bus 18 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor or a local bus using any of a variety of bus architectures. By way of example, these architectures include, but are not limited to, an Industry Standard Architecture (ISA) bus, a Micro Channel Architecture (MAC) bus, an Enhanced ISA bus, a Video Electronics Standards Association (VESA) local bus, and a Peripheral Component Interconnect (PCI) bus.

[0140] The electronic device 4 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by the electronic device 4, including volatile and non-volatile media, removable and non-removable media.

[0141] The system memory 28 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 30 and / or cache memory 32. The electronic device 4 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, the storage system 34 may be used to read and write non-removable, non-volatile magnetic media ( Figure 4 not shown, usually called a "hard drive"). Although Figure 4Not shown in the figure, a disk drive for reading and writing to a removable non-volatile disk (e.g., a "floppy disk"), and an optical disk drive for reading and writing to a removable non-volatile optical disk (e.g., a CD-ROM, a DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to the bus 18 via one or more data medium interfaces. The system memory 28 may include at least one program product having a set (e.g., at least one) of program modules that are configured to perform the functions of the various embodiments of the present invention.

[0142] A program / utility 40 having a set (at least one) of program modules 42 may be stored, for example, in system memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment. Program modules 42 generally perform the functions and / or methods of the embodiments described herein.

[0143] The electronic device 4 may also communicate with one or more external devices 14 (e.g., keyboards, pointing devices, displays 24, etc.), one or more devices that enable a user to interact with the electronic device 4, and / or any device that enables the electronic device 4 to communicate with one or more other computing devices (e.g., network cards, modems, etc.). Such communication may be performed via an input / output (I / O) interface 22. Furthermore, the electronic device 4 may also communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) via a network adapter 20. Figure 4 As shown, the network adapter 20 communicates with other modules of the electronic device 4 via the bus 18. It should be understood that although Figure 4 Not shown, other hardware and / or software modules may be used in conjunction with the electronic device 4, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0144] The processing unit 16 executes various functional applications and page displays by running the program stored in the system memory 28, for example, implementing the power demand response method provided in the embodiment of the present invention, the method comprising:

[0145] Determine the power control period and power control demand of the current area, and obtain the product production loss and planned production tasks of each production equipment in the textile factory in the current area, wherein the planned production tasks have at least two candidate weights;

[0146] Determine the planned output of the corresponding production equipment during the power control period according to the planned production tasks of each production equipment;

[0147] Calculate the production progress of the corresponding production equipment in the power control period according to the planned production tasks of each production equipment, at least two candidate weights of the planned production tasks and the product production loss of each production equipment, and obtain at least two production progress of each production equipment;

[0148] Calculate the candidate output of the corresponding production equipment in the power control period according to the planned output of each production equipment in the power control period and at least two production schedules, and obtain at least two candidate outputs of each production equipment;

[0149] According to the power control demand, a target output in the power control period is selected for the corresponding production equipment from at least two candidate outputs of each production equipment.

[0150] Of course, those skilled in the art can understand that the processor can also implement the technical solution of the power demand response method provided by any embodiment of the present invention.

[0151] An embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon. When the program is executed by a processor, for example, a power demand response method provided by an embodiment of the present invention is implemented. The method includes:

[0152] Determine the power control period and power control demand of the current area, and obtain the product production loss and planned production tasks of each production equipment in the textile factory in the current area, wherein the planned production tasks have at least two candidate weights;

[0153] Determine the planned output of the corresponding production equipment during the power control period according to the planned production tasks of each production equipment;

[0154] Calculate the production progress of the corresponding production equipment in the power control period according to the planned production tasks of each production equipment, at least two candidate weights of the planned production tasks and the product production loss of each production equipment, and obtain at least two production progress of each production equipment;

[0155] Calculate the candidate output of the corresponding production equipment in the power control period according to the planned output of each production equipment in the power control period and at least two production schedules, and obtain at least two candidate outputs of each production equipment;

[0156] According to the power control demand, a target output in the power control period is selected for the corresponding production equipment from at least two candidate outputs of each production equipment.

[0157] The computer storage medium of the embodiment of the present invention can adopt any combination of one or more computer-readable media. The computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium can be, for example, but not limited to: an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples (non-exhaustive list) of computer-readable storage media include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this document, a computer-readable storage medium can be any tangible medium containing or storing a program, which can be used by an instruction execution system, device or device or used in combination with it.

[0158] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, which carry computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0159] The program code embodied on the computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

[0160] Computer program code for performing the operations of the present invention may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0161] It should be understood by those skilled in the art that the modules or steps of the present invention described above can be implemented by a general-purpose computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, optionally, they can be implemented by a program code executable by a computer device, so that they can be stored in a storage device and executed by the computing device, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present invention is not limited to any specific combination of hardware and software.

[0162] In addition, the acquisition, storage, use, and processing of data in the technical solution of the present invention are in compliance with the relevant provisions of national laws and regulations.

[0163] Note that the above are only preferred embodiments of the present invention and the technical principles used. Those skilled in the art will understand that the present invention is not limited to the specific embodiments herein, and that various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the scope of protection of the present invention. Therefore, although the present invention has been described in more detail through the above embodiments, the present invention is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims

1. A method for responding to power demand, characterized in that: The method comprises: Determine the power control period and power control demand of the current area, and obtain the product production loss and planned production tasks of each production equipment in the textile factory in the current area, wherein the planned production tasks have at least two candidate weights; Determine the planned output of the corresponding production equipment during the power control period according to the planned production tasks of each production equipment; Calculate the production progress of the corresponding production equipment in the power control period according to the planned production tasks of each production equipment, at least two candidate weights of the planned production tasks and the product production loss of each production equipment, and obtain at least two production progress of each production equipment; Calculate the candidate output of the corresponding production equipment in the power control period according to the planned output of each production equipment in the power control period and at least two production schedules, and obtain at least two candidate outputs of each production equipment; According to the power control demand, a target output in the power control period is selected for the corresponding production equipment from at least two candidate outputs of each production equipment.

2. The power demand response method according to claim 1, characterized in that: Calculating the production progress of the corresponding production equipment in the power control period according to the planned production tasks of each production equipment, at least two candidate weights of the planned production tasks and the product production loss of each production equipment, and obtaining at least two production progress of each production equipment, including: For the current production equipment and the current candidate weight of the planned production task of the current production equipment, determine a production schedule of the current production equipment in the power regulation period according to the planned output of the planned production task of the current production equipment, the product of the current candidate weight corresponding to the planned production task of the current production equipment and the product production loss of the current production equipment; Other candidate weights of the planned production tasks of the current production equipment are traversed in sequence to obtain at least two production schedules of the current production equipment in the power regulation period.

3. The power demand response method according to claim 1, characterized in that: Calculating candidate production quantities of corresponding production equipment in the power control period according to the planned production quantities of each production equipment in the power control period and at least two production schedules, and obtaining at least two candidate production quantities of each production equipment, including: For the current production equipment and the current production progress of the current production equipment in the power regulation period, the planned output of the current production equipment in the power regulation period is used as the first independent variable of the linear regression function, and the current production progress of the current production equipment in the power regulation period is used as the second independent variable of the linear regression function; Obtaining a first independent variable coefficient of a planned output of the current production equipment during the power regulation period and a second independent variable coefficient of a current production progress of the current production equipment during the power regulation period; Solving the linear regression function based on the first independent variable, the first independent variable coefficient, the second independent variable and the second independent variable coefficient to obtain a candidate output of the current production equipment in the power regulation period; The other production schedules of the current production equipment are traversed in sequence to obtain at least two candidate productions of the current production equipment in the power regulation period.

4. The power demand response method according to claim 3, characterized in that: Solving the linear regression function based on the first independent variable, the first independent variable coefficient, the second independent variable and the second independent variable coefficient to obtain a candidate output of the current production equipment in the power regulation period includes: Obtaining a constant term of the linear regression function; The linear regression function is solved based on the constant term, the first independent variable, the first independent variable coefficient, the second independent variable and the second independent variable coefficient to obtain a candidate output of the current production equipment in the power regulation period.

5. The power demand response method according to claim 1, characterized in that: Selecting a target output in the power control period for a corresponding production equipment from at least two candidate outputs of each production equipment according to the power control demand includes: For the current production equipment, when it is determined that the power regulation demand is to increase power consumption, the maximum value of at least two candidate outputs of the current production equipment is determined as the target output of the current production equipment in the power regulation period; When it is determined that the power regulation demand is to reduce power consumption, the minimum value of at least two candidate production outputs of the current production equipment is determined as the target production output of the current production equipment in the power regulation period.

6. The power demand response method according to claim 1, characterized in that: After selecting the target output in the power regulation period for the corresponding production equipment from at least two candidate outputs of each production equipment according to the power regulation demand, the method further includes: The target power consumption of the corresponding production equipment in the power control period is determined according to the target output and unit output energy consumption of each production equipment.

7. The power demand response method according to claim 6, characterized in that: Determining the target power consumption of the corresponding production equipment during the power control period according to the target output and unit output energy consumption of each production equipment includes: For the current production equipment, calculate the ratio of the unit product power consumption of the current production equipment to the hourly output to obtain the unit output energy consumption of the current production equipment; The product of the unit output energy consumption of the current production equipment and the target output is calculated to obtain the target power consumption of the current production equipment in the power control period.

8. A power demand response device, characterized in that: The device comprises: An acquisition module, used to determine the power control period and power control demand of the current area, and to acquire the product production loss and planned production tasks of each production equipment in the textile factory in the current area, wherein the planned production tasks have at least two candidate weights; A planned output determination module, used to determine the planned output of the corresponding production equipment in the power control period according to the planned production tasks of each production equipment; A production schedule determination module, configured to calculate the production schedule of the corresponding production equipment during the power control period according to the planned production tasks of each production equipment, at least two candidate weights of the planned production tasks and the product production loss of each production equipment, and obtain at least two production schedules of each production equipment; A candidate production determination module is used to calculate the candidate production of the corresponding production equipment in the power control period according to the planned production of each production equipment in the power control period and at least two production schedules, and obtain at least two candidate productions of each production equipment; The target output determination module is used to select a target output in the power regulation period for the corresponding production equipment from at least two candidate outputs of each production equipment according to the power regulation demand.

9. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively coupled to the at least one processor; The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the power demand response method described in any one of claims 1-7.

10. A storage medium containing computer executable instructions, characterized in that: When the computer executable instructions are executed by a computer processor, the power demand response method according to any one of claims 1 to 7 is implemented.

Images