A method, system, device and medium for evaluating power load demand response

Abstract

The present invention relates to a method, system, device and medium for evaluating power load demand response, wherein the method comprises: step S1: constructing a constraint target for power load demand of an industrial enterprise, including constructing a common constraint set of the industrial enterprise according to the common characteristics of the production links of the industrial enterprise, and constructing a heterogeneous constraint set of the industrial enterprise according to the heterogeneous characteristics of the production links of the industrial enterprise; step S2: constructing a power load demand response potential evaluation model of the industrial enterprise in combination with the common constraint set of the industrial enterprise and the heterogeneous constraint set of the industrial enterprise; step S3: evaluating the power load amount increased or decreased by the industrial enterprise within a preset period of time through the power load demand response potential evaluation model. The present invention can help guide the formulation of scientific and reasonable electricity prices and incentives, and ensure the reasonable and effective operation of the smart grid.

Description

Technical Field

[0001] The present invention relates to the field of electric power technology, and in particular to an electric power load demand response evaluation method, system, equipment and medium. Background Art

[0002] As the sustainable development of traditional power grids encounters bottlenecks, smart grids are gradually leading a new round of research and application boom. Electricity load demand response (DR) is an important means to realize smart grids, and its potential represents the available margin of DR. Expanding the potential of demand response can not only alleviate the operating pressure of the power grid and reduce the operating cost of the system, but also effectively absorb intermittent energy and facilitate energy conservation and emission reduction. Its quantitative evaluation research is helpful to guide the formulation of scientific and reasonable electricity prices and incentives, which has urgent practical significance in the current reform of the power system and stimulating users to participate in grid interaction.

[0003] Electricity demand response has evolved from demand-side management, and many DR projects have been carried out in developed countries. Electricity demand response refers to the behavior of electricity users changing their original electricity usage patterns in response to market price signals, incentive signals, or direct instructions from system operators. Demand-side management tends to be orderly electricity use, and administrative intervention makes the load "passively" accept; demand response guides users to "actively" respond through price signals and incentives. Generally, demand response can be divided into price-based DR and incentive-based DR.

[0004] Price-based DR adjusts electricity demand in response to changes in dynamic electricity prices. There are three main dynamic electricity price measures in price-based DR: 1) Time-of-use electricity prices, where electricity prices vary with the time period, date, and season of electricity consumption; 2) Key peak load electricity prices, where a particularly high key peak load period electricity price is set on the basis of ordinary electricity prices or time-of-use electricity prices; 3) Real-time electricity prices, where electricity prices are not set in advance, but fluctuate continuously every day, directly reflecting the wholesale price of the electricity market, and are linked to the day-ahead or real-time power generation costs.

[0005] Incentive DR responds to incentive compensation measures to change electricity demand. There are five types of incentives in incentive DR: 1) Direct load control, in which power is cut off directly without prior notice to users in an emergency; 2) Interruptible load, in which users reduce load in an emergency and receive rewards, and will be punished if they fail to reduce load as agreed; 3) Demand-side bidding, in which users actively participate in market competition in the form of bidding and obtain corresponding economic benefits; 4) Emergency demand response, in which users voluntarily choose to participate or not participate in DR, and those who do not participate will not be punished; 5) Capacity market / ancillary services, in which users reduce load to provide backup for the system.

[0006] According to the nature of the evaluation method, the demand response potential evaluation is generally divided into two categories: qualitative analysis and quantitative evaluation. Qualitative analysis uses historical statistical data to summarize the size and nature of the load's electricity consumption base, and analyzes the peak-shifting production potential, peak-avoiding rotation potential, and interruptible load potential of various types of loads based on typical load characteristics such as daily load curves and annual electricity consumption. Qualitative analysis of DR potential can only reflect the general trend of DR behavior and cannot provide accurate values, so it is rarely used in engineering. In the field of demand response, DR potential evaluation generally refers to quantitative evaluation, which is to evaluate user participation in response. However, the current quantitative evaluation of DR potential is still imperfect and needs to be improved. Summary of the invention

[0007] Therefore, the technical problem to be solved by the present invention is to overcome the problem that the quantitative evaluation of DR potential in the prior art is still imperfect.

[0008] In order to solve the above technical problems, the present invention provides a method for evaluating power load demand response, comprising:

[0009] Step S1: constructing constraint targets for power load demand of industrial enterprises, including constructing a common constraint set of industrial enterprises according to the common characteristics of production links of industrial enterprises, and constructing a heterogeneous constraint set of industrial enterprises according to the heterogeneous characteristics of production links of industrial enterprises;

[0010] Step S2: constructing an electric power load demand response potential assessment model for industrial enterprises by combining the common constraint set of the industrial enterprises and the heterogeneous constraint set of the industrial enterprises;

[0011] Step S3: Evaluate the increase or decrease in power load of industrial enterprises within a preset time period through the power load demand response potential assessment model.

[0012] In one embodiment of the present invention, the common constraint set of industrial enterprises is constructed according to the common characteristics of the production links of industrial enterprises in step S1, including:

[0013] Constructing a production target stability constraint, wherein the production target stability constraint is used to ensure the stability of the production target and prevent interruption or delay of the production process;

[0014] Constructing a power consumption stability constraint, wherein the power consumption stability constraint is used to ensure the stability of power;

[0015] A device life protection constraint is constructed, where the device life protection constraint is used to ensure the stability of device working state switching.

[0016] In one embodiment of the present invention, the formula of the production target stability constraint is:

[0017] ;

[0018] Among them, P s,i,t and P s,i,t,o The types of key production links in industrial enterprises when participating in and not participating in demand response Equipment power, is the time period number, For all time periods, is the total number of devices;

[0019] The formula for the power consumption stability constraint is:

[0020] ;

[0021] in, For Type Equipment The maximum value of the permitted fluctuation of electricity;

[0022] The formula for the equipment life protection constraint is:

[0023] ;

[0024] ;

[0025] Among them, n s,i and n s,max Respectively type Equipment The number of production status switching and the maximum allowed number of switching; and Respectively type Equipment No. Second and The time of the next production state switching, t s,1 For Type Equipment Minimum production status switching interval.

[0026] In one embodiment of the present invention, the step S1 constructs a heterogeneous constraint set of industrial enterprises according to the heterogeneous characteristics of the production links of the industrial enterprises, including:

[0027] Constructing storage capacity and shelf life constraints, wherein the storage capacity and shelf life constraints are used to ensure the effectiveness of the production process;

[0028] A process consistency constraint is constructed, wherein the process consistency constraint is used to ensure the quality of the produced product and the stability of the process.

[0029] In one embodiment of the present invention, the storage capacity and shelf life constraints include:

[0030] The storage capacity and shelf life constraints include:

[0031] When the industrial enterprise is a steel enterprise, the formula is:

[0032] ;

[0033] ;

[0034] ;

[0035] When the industrial enterprise is a cement enterprise, the formula is:

[0036] ;

[0037] ;

[0038] in, , and They are the minimum storage capacity, maximum storage capacity and storage capacity of the warehouse at the current moment; and are the intermediate product output rate and consumption rate of steel enterprises or cement enterprises respectively; For Type Equipment status, and are the starting time and duration respectively; Indicates the device The consumption rate is constant;

[0039] When the industrial enterprise is an electronics enterprise, there are no storage capacity and shelf life constraints;

[0040] The process consistency constraints include:

[0041] When the industrial enterprise is a steel enterprise, the formula is:

[0042] ;

[0043] When the industrial enterprise is an electronics enterprise, the formula is:

[0044] ;

[0045] in, Different power levels are numbered. is the total power level;

[0046] When the industrial enterprise is a cement enterprise, there is no process consistency constraint.

[0047] In one embodiment of the present invention, in step S2, the common constraint set of the industrial enterprises and the heterogeneous constraint set of the industrial enterprises are combined to construct an evaluation model for the power load demand response potential of the industrial enterprises, and the formula is:

[0048] ;

[0049] ;

[0050] in, P is a model for evaluating the potential of power load demand response. s,i,t and P s,i,t,o The types of key links in industrial enterprises when they participate and do not participate in demand response Equipment power, For the response power, To respond to the start period, The time period for the response to end;

[0051] Under the constraints of the common constraint set of the industrial enterprises and the heterogeneous constraint set of the industrial enterprises, the power load demand response potential evaluation model satisfy:

[0052] .

[0053] In order to solve the above technical problems, the present invention provides a power load demand response evaluation system, comprising:

[0054] Constraint construction module: used to construct the constraint target of the power load demand of industrial enterprises, including constructing the common constraint set of industrial enterprises according to the common characteristics of the production links of industrial enterprises, and constructing the heterogeneous constraint set of industrial enterprises according to the heterogeneous characteristics of the production links of industrial enterprises;

[0055] Model building module: used for building an electric power load demand response potential assessment model for industrial enterprises by combining the common constraint set of the industrial enterprises and the heterogeneous constraint set of the industrial enterprises;

[0056] Evaluation module: used to evaluate the increase or decrease in power load of industrial enterprises within a preset time period through the power load demand response potential evaluation model.

[0057] To solve the above technical problems, the present invention provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above-mentioned power load demand response evaluation method when executing the computer program.

[0058] In order to solve the above technical problems, the present invention provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps of the above-mentioned power load demand response evaluation method are implemented.

[0059] In order to solve the above technical problem, the present invention provides a computer program product, including a computer program, which implements the steps of the above power load demand response evaluation method when executed by a processor.

[0060] The above technical solution of the present invention has the following advantages compared with the prior art:

[0061] The power load demand response evaluation method of the present invention constructs a common constraint set and a heterogeneous constraint set, and constructs a power load demand response potential evaluation model based on the common constraint set and the heterogeneous constraint set. The model can effectively realize the power load demand response (DR) potential evaluation;

[0062] The power load demand response potential assessment model constructed by the present invention can help guide the formulation of scientific and reasonable electricity prices and incentives by assessing the increase or decrease in power load of industrial enterprises within a preset time period, thereby ensuring the reasonable and effective operation of the smart grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] In order to make the contents of the present invention more clearly understood, the present invention is further described in detail below based on specific embodiments of the present invention in conjunction with the accompanying drawings.

[0064] Figure 1 It is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0065] The present invention is further described below in conjunction with the accompanying drawings and specific embodiments so that those skilled in the art can better understand the present invention and implement it, but the embodiments are not intended to limit the present invention.

[0066] Embodiment 1

[0067] Reference Figure 1 The present invention relates to a method for evaluating power load demand response, comprising:

[0068] Step S1: constructing constraint targets for power load demand of industrial enterprises, including constructing a common constraint set of industrial enterprises according to the common characteristics of production links of industrial enterprises, and constructing a heterogeneous constraint set of industrial enterprises according to the heterogeneous characteristics of production links of industrial enterprises;

[0069] Step S2: constructing an electric power load demand response potential assessment model for industrial enterprises by combining the common constraint set of the industrial enterprises and the heterogeneous constraint set of the industrial enterprises;

[0070] Step S3: Evaluate the increase or decrease in the power load of industrial enterprises within a preset period of time through the power load demand response potential evaluation model. By evaluating the increase or decrease in the power load of industrial enterprises within a preset period of time, it can help guide the formulation of scientific and reasonable electricity prices and incentives to ensure the reasonable and effective operation of the smart grid.

[0071] The following is a detailed introduction to this embodiment:

[0072] Before constructing the power load demand response potential assessment model, this embodiment deeply analyzed the production processes of multiple typical industrial enterprises through the collection of a large amount of historical data and on-site investigation. First, the historical production data of various production enterprises were obtained and sorted, covering various key indicators including production cycle, process flow, resource consumption, equipment operation status, etc. At the same time, through on-site investigation, the production site of the enterprise was inspected, relevant actual operation data was collected, and the actual execution of the process flow was verified.

[0073] On this basis, a comprehensive analysis of each link in the production process was conducted to identify links in the production process with potential responsiveness. These links usually have a large adjustment space and can improve production responsiveness by adjusting operating parameters (such as equipment operating speed, energy consumption, production line switching frequency, etc.) without affecting overall production efficiency. Based on the above analysis results, production links suitable for providing responsiveness potential to the system are selected. For example, this embodiment selects the electric arc furnace steelmaking link from a steel enterprise, the grinding link from a cement enterprise, and the assembly line processing link from an electronics enterprise.

[0074] In step S1, based on an in-depth study of the production process of industrial enterprises, common characteristics that are common in different types of industrial enterprises are extracted. These common characteristics play an important role in the production process and are factors that need to be given priority when formulating control strategies. Based on these common characteristics, this embodiment constructs a set of common constraints to guide actual production control, specifically including:

[0075] Production target stability constraint: When any control measures are implemented, the stability of the production target must be ensured to prevent interruption or serious delay of the production process. The formula is:

[0076] (1);

[0077] Among them, P s,i,t and P s,i,t,oThe types of key production links in industrial enterprises when participating in and not participating in demand response Equipment power, is the time period number, For all time periods, is the total number of devices.

[0078] Power consumption stability constraint: The control measures should be implemented under the premise of maintaining a smooth transition of the power load curve, and power fluctuations exceeding the set threshold are not allowed. The formula is:

[0079] (2);

[0080] in, For Type Equipment The maximum value of the allowed fluctuation of electricity.

[0081] Equipment life protection constraint: During the production state switching process, the control measures should take into account the wear and fatigue accumulation of the equipment to avoid high-frequency switching operations or sudden changes in working conditions. Formula (3) constrains the maximum number of switching times of the equipment, and formula (4) constrains the time interval between two state switching of the equipment, which can be specifically expressed as:

[0082] (3);

[0083] (4);

[0084] Among them, n s,i and n s,max Type Equipment The number of production status switching and the maximum allowed number of switching; and Type Equipment No. Second and The time of the next production state switching, t s,1 For Type Equipment Minimum production status switching interval.

[0085] In step S1, based on identifying the common characteristics of the production process of industrial enterprises, this embodiment further considers the heterogeneous characteristics between different industrial enterprises. Since different enterprises have significant differences in production processes, transportation and storage methods, link switching modes, etc., it is necessary to construct a set of heterogeneous constraints to meet the personalized regulation needs of various enterprises, including:

[0086] Storage capacity and shelf life constraints: When regulating production, enterprises must consider the capacity of storage facilities and the shelf life of products or raw materials. Regulatory measures should avoid exceeding storage capacity. For example, both cement production and steel production need to consider storage capacity constraints, but electronics companies are closely arranged in an assembly line and do not need to consider intermediate storage processes. In addition, steel companies produce in units of furnaces, so storage capacity constraints are intermittent, such as formulas (5)-(7); storage capacity constraints in cement companies are continuous, such as formulas (8)-(9).

[0087] (5);

[0088] (6);

[0089] (7);

[0090] (8);

[0091] (9);

[0092] in, , and They are the minimum storage capacity, maximum storage capacity and storage capacity of the warehouse at the current moment; and They are the output rate and consumption rate of intermediate products of steel enterprises or cement enterprises (the intermediate products of cement refer to crushed raw materials, and the intermediate products of steel enterprises refer to molten iron); For Type Equipment status, and are the starting time and duration respectively; Indicates the device The consumption rate is constant.

[0093] Process consistency constraint: In the production process with high precision requirements, the control strategy should ensure the consistency of the process, and the control measures should not cause product quality fluctuations or inaccuracy in the production process. For example, steel companies and electronic companies need to be in operation all the time. The non-interruptible gear adjustment constraint represented by steel companies is as shown in formula (10), and the interruptible gear adjustment represented by electronic companies is as shown in formula (11); it should be noted that cement companies have no constraints on the operating state.

[0094] When the industrial enterprise is a steel enterprise, the formula is:

[0095] (10);

[0096] When the industrial enterprise is an electronics enterprise, the formula is:

[0097] (11);

[0098] in, Different power levels are numbered. The total power level.

[0099] In step S2, this embodiment constructs a model that can evaluate the response potential of industrial enterprises within a specified period of time (i.e., a power load demand response potential evaluation model) to meet actual regulation needs. The model analyzes the production load characteristics, production processes, and equipment operation status of industrial enterprises, comprehensively considers various constraints, and evaluates the load regulation capability and response potential of enterprises within a specific time period. The model is established as follows:

[0100] (12);

[0101] (13);

[0102] in, P is a model for evaluating the potential of power load demand response. s,i,t and P s,i,t,o The types of key links in industrial enterprises when they participate and do not participate in demand response Equipment power, For the response power, To respond to the start period, The response end time period.

[0103] Under the constraints of the common constraint set of the industrial enterprises and the heterogeneous constraint set of the industrial enterprises, that is:

[0104] st formula (1) - formula (11)

[0105] Among them, st represents the constraint condition;

[0106] The power load demand response potential evaluation model satisfy:

[0107] (14).

[0108] Formula (14) can avoid the occurrence of extreme response conditions.

[0109] Embodiment 2

[0110] This embodiment provides a power load demand response evaluation system, including:

[0111] Constraint construction module: used to construct the constraint target of the power load demand of industrial enterprises, including constructing the common constraint set of industrial enterprises according to the common characteristics of the production links of industrial enterprises, and constructing the heterogeneous constraint set of industrial enterprises according to the heterogeneous characteristics of the production links of industrial enterprises;

[0112] Model building module: used for building an electric power load demand response potential assessment model for industrial enterprises by combining the common constraint set of the industrial enterprises and the heterogeneous constraint set of the industrial enterprises;

[0113] Evaluation module: used to evaluate the increase or decrease in power load of industrial enterprises within a preset time period through the power load demand response potential evaluation model.

[0114] Embodiment 3

[0115] This embodiment provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the power load demand response evaluation method described in the first embodiment when executing the computer program.

[0116] Embodiment 4

[0117] This embodiment provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps of the power load demand response evaluation method described in the first embodiment are implemented.

[0118] Embodiment 5

[0119] A computer program product includes a computer program, which, when executed by a processor, implements the steps of the power load demand response evaluation method described in Example 1.

[0120] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes. The schemes in the embodiments of the present application may be implemented in various computer languages, for example, object-oriented programming language Java and literal scripting language JavaScript, etc.

[0121] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0122] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0123] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0124] Although the preferred embodiments of the present application have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications falling within the scope of the present application.

[0125] Obviously, the above embodiments are merely examples for clear explanation and are not intended to limit the implementation methods. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the implementation methods here. The obvious changes or modifications derived from these are still within the protection scope of the invention.

Claims

1. A method for evaluating power load demand response, characterized in that: include: Step S1: Constructing the constraint target of the power load demand of industrial enterprises, including constructing a common constraint set of industrial enterprises according to the common characteristics of the production links of industrial enterprises, including: Constructing a production target stability constraint, wherein the production target stability constraint is used to ensure the stability of the production target and prevent interruption or delay of the production process; Constructing a power consumption stability constraint, wherein the power consumption stability constraint is used to ensure the stability of power; Constructing a device life protection constraint, wherein the device life protection constraint is used to ensure the stability of device working state switching; The formula for the production target stability constraint is: ； Among them, P s,i,t and P s,i,t,o The types of key production links in industrial enterprises when participating in and not participating in demand response Equipment power, is the time period number, For all time periods, is the total number of devices; The formula for the power consumption stability constraint is: ； in, For Type Equipment The maximum value of the permitted fluctuation of electricity; The formula for the equipment life protection constraint is: ； ； Among them, n s,i and n s,max Type Equipment The number of production status switching and the maximum allowed number of switching; and Type Equipment No. Second and The time of the next production state switching, t s,1 For Type Equipment Minimum production status switching interval; Construct the heterogeneous constraint set of industrial enterprises according to the heterogeneous characteristics of their production links; Step S2: Combining the common constraint set of the industrial enterprises and the heterogeneous constraint set of the industrial enterprises, construct an evaluation model for the power load demand response potential of the industrial enterprises, the formula is: ； ； in, P is a model for evaluating the potential of power load demand response. s,i,t and P s,i,t,o The types of key links in industrial enterprises when they participate and do not participate in demand response Equipment power, For the response power, To respond to the start period, The time period for the response to end; Under the constraints of the common constraint set of the industrial enterprises and the heterogeneous constraint set of the industrial enterprises, the power load demand response potential evaluation model satisfy: ； Step S3: Evaluate the increase or decrease in power load of industrial enterprises within a preset time period through the power load demand response potential assessment model.

2. The power load demand response evaluation method according to claim 1, characterized in that: In step S1, a heterogeneous constraint set of industrial enterprises is constructed according to the heterogeneous characteristics of the production links of industrial enterprises, including: Constructing storage capacity and shelf life constraints, wherein the storage capacity and shelf life constraints are used to ensure the effectiveness of the production process; A process consistency constraint is constructed, wherein the process consistency constraint is used to ensure the quality of the produced product and the stability of the process.

3. The power load demand response evaluation method according to claim 2, characterized in that: The storage capacity and shelf life constraints include: When the industrial enterprise is a steel enterprise, the formula is: ； ； ； When the industrial enterprise is a cement enterprise, the formula is: ； ； in, , and They are the minimum storage capacity, maximum storage capacity and storage capacity of the warehouse at the current moment; and are the intermediate product output rate and consumption rate of steel enterprises or cement enterprises respectively; For Type Equipment status, and are the starting time and duration respectively; Indicates the device The consumption rate is constant; When the industrial enterprise is an electronics enterprise, there are no storage capacity and shelf life constraints; The process consistency constraints include: When the industrial enterprise is a steel enterprise, the formula is: ； When the industrial enterprise is an electronics enterprise, the formula is: ； in, Different power levels are numbered. is the total power level; When the industrial enterprise is a cement enterprise, there is no process consistency constraint.

4. A power load demand response evaluation system, characterized in that: include: Constraint construction module: used to construct the constraint target of the power load demand of industrial enterprises, including constructing the common constraint set of industrial enterprises according to the common characteristics of the production links of industrial enterprises, including: Constructing a production target stability constraint, wherein the production target stability constraint is used to ensure the stability of the production target and prevent interruption or delay of the production process; Constructing a power consumption stability constraint, wherein the power consumption stability constraint is used to ensure the stability of power; Constructing a device life protection constraint, wherein the device life protection constraint is used to ensure the stability of device working state switching; The formula for the production target stability constraint is: ； Among them, P s,i,t and P s,i,t,o The types of key production links in industrial enterprises when participating in and not participating in demand response Equipment power, is the time period number, For all time periods, is the total number of devices; The formula for the power consumption stability constraint is: ； in, For Type Equipment The maximum value of the permitted fluctuation of electricity; The formula for the equipment life protection constraint is: ； ； Among them, n s,i and n s,max Type Equipment The number of production status switching and the maximum allowed number of switching; and Type Equipment No. Second and The time of the next production state switching, t s,1 For Type Equipment Minimum production status switching interval; Construct the heterogeneous constraint set of industrial enterprises according to the heterogeneous characteristics of their production links; Model building module: used to build an industrial enterprise power load demand response potential assessment model by combining the common constraint set of the industrial enterprise and the heterogeneous constraint set of the industrial enterprise, the formula is: ； ； in, P is a model for evaluating the potential of power load demand response. s,i,t and P s,i,t,o The types of key links in industrial enterprises when they participate and do not participate in demand response Equipment power, For the response power, To respond to the start period, The time period for the response to end; Under the constraints of the common constraint set of the industrial enterprises and the heterogeneous constraint set of the industrial enterprises, the power load demand response potential evaluation model satisfy: ； Evaluation module: used to evaluate the increase or decrease in power load of industrial enterprises within a preset time period through the power load demand response potential evaluation model.

5. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the steps of the power load demand response evaluation method according to any one of claims 1 to 3 are implemented.

6. 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 power load demand response evaluation method according to any one of claims 1 to 3 are implemented.

7. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the power load demand response evaluation method described in any one of claims 1 to 3 are implemented.

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