An evaluation method, device, equipment and medium for industrial adjustable load

By establishing an industrial load response characteristic model and selecting typical enterprises, the problem of low efficiency in traditional assessment methods has been solved, enabling rapid and accurate assessment of industrial adjustable loads and supporting grid flexibility and renewable energy consumption.

CN119047791BActive Publication Date: 2025-02-11DONGFANG ELECTRIC (CHENGDU) ENG & CONSULTING CO LTD
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Patent Information

Application Number
CN202411524373.9
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-10-30
Publication Date
2025-02-11
Estimated Expiration
2044-10-30

AI Technical Summary

Technical Problem

Traditional methods for assessing the adjustable industrial load within a region are inefficient and require extensive manpower to visit businesses, resulting in low assessment efficiency.

Method used

Establish an industrial load response characteristic model, select typical enterprises, quantify the adjustment needs of equipment in different time periods through the model, and estimate the adjustable load in the region to reduce manual surveys.

Benefits of technology

It enables rapid assessment of adjustable industrial loads within a region, improves assessment efficiency, and helps power grid companies develop demand response plans.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present application provides an evaluation method, device, equipment and medium for industrial adjustable loads, which relates to the field of power demand response technology and is used to solve the problem of how to achieve rapid evaluation of industrial adjustable loads in a region. The method includes: establishing an industrial load response characteristic model; the industrial load response characteristic model is used to indicate whether each type of equipment in each industry of the industry can participate in regulation when regulation demand is generated in each time period; from all enterprises in multiple industries in the region, a typical enterprise in each industry is selected; multiple industries are all industries; according to the industrial load response characteristic model, the adjustable load of a typical enterprise in each industry is obtained; according to the adjustable load of a typical enterprise in each industry, the adjustable load of each industry is obtained; the adjustable load of multiple industries is summed to obtain the adjustable load of the region, thereby achieving rapid evaluation of the industrial adjustable load in the region.
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Description

Technical Field

[0001] The present application relates to the technical field of power demand response, and provides an evaluation method, device, equipment and medium for an industrial adjustable load. Background Art

[0002] With the acceleration of the "dual carbon" process and the deepening of energy transformation, the traditional power system is transforming into a new low-carbon and zero-carbon power system. Exploring the potential of adjustable resources on the user side, establishing an adjustable resource pool, and implementing power demand response are important supporting means to improve the flexibility of power grid control, promote the consumption of renewable energy, and coordinate and optimize power supply and demand. Evaluating adjustable loads is a prerequisite for implementing regional demand response, especially for industry, which has a large load scale, good regularity, strong controllability, and huge adjustable potential, and is the object that needs to be evaluated.

[0003] In traditional solutions, the evaluation of industrial adjustable load in a region is mainly done through surveys, visiting large industrial users in the region one by one to understand the production characteristics and production equipment of the users, and then calculating the adjustable load scale of a single user on the day before and during the day based on the adjustable and shutdown characteristics of the equipment. This mode is repeated until all users in the region are surveyed, and finally the total adjustable load is obtained by superposition. This process requires a large number of visits by researchers, which is time-consuming and labor-intensive, resulting in low evaluation efficiency. Summary of the invention

[0004] The present application provides an industrial adjustable load evaluation method, device, equipment and medium, which are used to solve the problem of how to achieve rapid evaluation of industrial adjustable loads in a region.

[0005] In a first aspect, a method for evaluating an industrial adjustable load is provided, comprising:

[0006] Establishing an industrial load response characteristic model; the industrial load response characteristic model is used to indicate whether each type of equipment in each industry can participate in regulation when regulation demand is generated in each time period;

[0007] Selecting a typical enterprise in each industry from all enterprises in the region; the multiple industries are all industrial;

[0008] According to the industrial load response characteristic model, the adjustable load of a typical enterprise in each industry is obtained;

[0009] Obtain the adjustable load of each industry based on the adjustable load of typical enterprises in each industry;

[0010] The adjustable loads of the multiple industries are summed to obtain the adjustable load of the region.

[0011] Optionally, the typical enterprises in each industry are selected from all enterprises in multiple industries in the region, including:

[0012] Typical enterprises in each industry are selected from all enterprises in multiple industries in the region based on whether their production processes are representative, whether they operate continuously throughout the year, whether they include self-built power plants, and the industry's electricity consumption ranking.

[0013] Optionally, obtaining the adjustable load of a typical enterprise in each industry according to the industrial load response characteristic model includes:

[0014] According to the industrial load response characteristic model, the equipment response variables of typical enterprises in each industry are obtained; the equipment response variables indicate whether the equipment can participate in regulation when regulation demand is generated in each time period;

[0015] The adjustable load of the typical enterprise in each industry is obtained according to the sum of the rated powers of all the equipment of the typical enterprise in each industry, the adjustable proportion of each type of equipment in each period and the equipment response variables of the typical enterprise in each industry.

[0016] Optionally, the industrial load response characteristic model is as follows:

[0017]

[0018] in, Indicates whether the c-type device in the h-th industry can participate in regulation when regulation demand is generated in the ts period. 1 indicates that the device can participate in regulation, and 0 indicates that the device cannot participate in regulation. t represents 24 periods throughout the day. Indicates the start time of adjustment. Indicates the continuously adjustable time of the cth type equipment in the hth industry.

[0019] Optionally, obtaining the adjustable load of each industry according to the adjustable load of a typical enterprise in each industry includes:

[0020] Determine the share of electricity consumption in each industry by typical enterprises in each industry;

[0021] The ratio between the adjustable load of a typical enterprise in each industry and the proportion of electricity consumption is determined as the adjustable load of each industry.

[0022] Optionally, determining the proportion of electricity consumption of typical enterprises in each industry includes:

[0023] The ratio between the annual electricity consumption of a typical enterprise in each industry and the maximum load utilization hours of each industry is determined as the calculated load of the typical enterprise in each industry;

[0024] The ratio between the annual electricity consumption of each industry and the maximum load utilization hours of each industry is determined as the calculated load for each industry;

[0025] The ratio of the computational load of a typical enterprise in each industry to the computational load of each industry is determined as the proportion of electricity consumption of the typical enterprise in each industry.

[0026] Optionally, determining the proportion of electricity consumption of typical enterprises in each industry includes:

[0027] The ratio of the annual electricity consumption of a typical enterprise in each industry to the annual electricity consumption of each industry is determined as the proportion of electricity consumption of the typical enterprise in each industry in each industry.

[0028] In a second aspect, an evaluation device for an industrial adjustable load is provided, comprising:

[0029] A model building module is used to build an industrial load response characteristic model; the industrial load response characteristic model is used to indicate whether each type of equipment in each industry can participate in regulation when regulation demand is generated in each time period;

[0030] A selection module is used to select typical enterprises in each industry from all enterprises in multiple industries in the region; the multiple industries are all industrial;

[0031] A load evaluation module, for obtaining an adjustable load of a typical enterprise in each industry according to the industrial load response characteristic model;

[0032] The load evaluation module is further used to obtain the adjustable load of each industry based on the adjustable load of typical enterprises in each industry;

[0033] The load assessment module is further used to sum the adjustable loads of the multiple industries to obtain the adjustable load of the area.

[0034] In a third aspect, the present application provides a computer device, which includes a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the industrial adjustable load evaluation method described in the second aspect.

[0035] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, and a processor executes the computer program to implement the method for evaluating industrial adjustable loads described in the second aspect.

[0036] Compared with the prior art, the present invention has the following beneficial effects:

[0037] The present application provides an evaluation method for industrial adjustable loads. By establishing an industrial load response characteristic model, it quantifies whether each type of equipment in the industrial industry can participate in the regulation when the regulation demand is generated in each time period, thereby determining the adjustable load of a typical enterprise, that is, quantifying the adjustable load of all equipment of a typical enterprise in each time period. From all enterprises in multiple industries in the region, the most representative typical enterprises in the industry are selected. According to the adjustable load of typical enterprises in each industry, the adjustable load of each industry can be calculated, and then the adjustable loads of multiple industries in the region are summed to obtain the adjustable load of the region, thereby realizing a rapid evaluation of the industrial adjustable load in the region. Compared with traditional survey methods, no human survey is required, which can improve the evaluation efficiency and help power grid companies or local governments quickly determine the scale of the adjustable load in the region, so as to formulate plans and prices for demand response. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related technologies, the drawings required for use in the embodiments or the related technical descriptions are briefly introduced below. Obviously, the drawings described below are only the embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0039] Figure 1 A schematic diagram of the computer device structure of the hardware operating environment involved in the embodiment of the present application;

[0040] Figure 2 A schematic diagram of a flow chart of an industrial adjustable load evaluation method provided in an embodiment of the present application;

[0041] Figure 3 A schematic diagram of the adjustable ratios of the equipment of a typical enterprise in each time period provided in an embodiment of the present application;

[0042] Figure 4 A schematic diagram of adjustable load in the electrolytic aluminum industry when demand response occurs at 10 o'clock provided in an embodiment of the present application;

[0043] Figure 5 A schematic diagram of load adjustment in the electrolytic aluminum industry when demand response occurs at 19:00 provided in an embodiment of the present application;

[0044] Figure 6 A schematic diagram of the structure of an industrial adjustable load evaluation device provided in an embodiment of the present application.

[0045] Markings in the figure: 101 - processor, 102 - communication bus, 103 - network interface, 104 - user interface, 105 - memory. DETAILED DESCRIPTION

[0046] In order to make the purpose, technical scheme and advantages of the present application clearer, the technical scheme in the embodiment of the present application will be clearly and completely described below in conjunction with the drawings in the embodiment of the present application. Obviously, the described embodiment is only a part of the embodiment of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of the present application. In the absence of conflict, the embodiments in the present application and the features in the embodiments can be combined with each other arbitrarily. In addition, although the logical order is shown in the flow chart, in some cases, the steps shown or described can be performed in an order different from that here.

[0047] With the acceleration of the "dual carbon" process and the deepening of energy transformation, the traditional power system is evolving into a new power system that is clean, low-carbon, safe, controllable, flexible, efficient, open, interactive, intelligent and friendly. The large-scale access of renewable energy has led to obvious "double high" and "double peak" characteristics of the power grid, insufficient system backup capacity, increasing peak load pressure on the power grid, and insufficient time-based and flexible adjustment capabilities of the power system. In the process of transitioning to low-carbon and zero-carbon, it is a general trend to accelerate demand-side management and improve the flexibility and operating efficiency of the power system.

[0048] Exploring the potential of adjustable resources on the demand side, building an adjustable load resource pool, and implementing power demand response are important supporting means to improve the flexibility of power grid control, promote the consumption of renewable energy, and coordinate and optimize power supply and demand. It can promote the consumption of new energy and enhance the system's active peak-shaving and frequency-regulating capabilities. While ensuring the safety, economy, and efficiency of the system, it can improve energy efficiency, reduce carbon emissions, and help achieve the "dual carbon" goals. It is of great significance to the power supply side, grid side, user side, and environment in the new power system. Assessing the scale of adjustable resources is a prerequisite for implementing regional demand response. Only by fully understanding the types, regulation potential, willingness to participate in regulation, and methods and means of regulation of regional adjustable resources can demand response be fully implemented.

[0049] The traditional solution uses a human survey method to obtain the evaluation results of the industrial adjustable load in the region. Taking City X as an example, the traditional solution requires visiting more than 40 industrial enterprises, and at least two staff members are required to conduct the survey each time. No more than four companies are surveyed each day, and 20 people are required to conduct the survey every day, so the evaluation efficiency is low.

[0050] In view of this, the present application embodiment provides an evaluation method for industrial adjustable load. Figure 1 , which is a schematic diagram of the computer device structure of the hardware operating environment involved in the embodiment of the present application.

[0051] like Figure 1As shown, the computer device may include: a processor 101, such as a central processing unit (CPU), a communication bus 102, a user interface 104, a network interface 103, and a memory 105. Among them, the communication bus 102 is used to realize the connection and communication between these components. The user interface 104 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the user interface 104 may include a standard wired interface and a wireless interface. The network interface 103 may include a standard wired interface and a wireless interface (such as a wireless fidelity (WIreless-FIdelity, WI-FI) interface). The memory 105 may be a high-speed random access memory (Random Access Memory, RAM) memory, or a stable non-volatile memory (Non-Volatile Memory, NVM), such as a disk memory. The memory 105 may optionally also be a storage device independent of the aforementioned processor 101.

[0052] Those skilled in the art will understand that Figure 1 The structure shown in the figure does not constitute a limitation on the computer device, and may include more or less components than shown in the figure, or combine some components, or arrange the components differently.

[0053] like Figure 1 As shown, the memory 105 as a storage medium may include an operating system, a network communication module, a user interface module, and an evaluation device for an industrial adjustable load.

[0054] exist Figure 1 In the computer device shown, the network interface 103 is mainly used for data communication with the network server; the user interface 104 is mainly used for data interaction with the user; the processor 101 and the memory 105 in the computer device of the present invention can be set in the computer device, and the computer device calls the industrial adjustable load evaluation device stored in the memory 105 through the processor 101, and executes the industrial adjustable load evaluation method provided in the embodiment of the present application.

[0055] based on Figure 1 The computer equipment shown below Figure 2 A method for evaluating an industrial adjustable load is introduced.

[0056] S201. Establish an industrial load response characteristic model.

[0057] In the specific implementation process, the industrial load response characteristic model is used to indicate whether each type of equipment in each industry can participate in regulation when regulation demand is generated in each time period.

[0058] The industrial load response characteristic model is as follows:

[0059]

[0060] in, is the equipment response variable, indicating whether the c-th type equipment in the h-th industry can participate in the regulation when the regulation demand is generated in the ts period. 1 indicates that the equipment can participate in the regulation, and 0 indicates that the equipment cannot participate in the regulation. t represents 24 periods throughout the day. , ts represents the adjustment start period, , Indicates the continuously adjustable time of the cth type equipment in the hth industry. ; h is the industry subscript, is the total number of industries in the region, ; c is the device type subscript, is the total number of equipment involved in the hth industry.

[0061] by , For example, if the device needs to be adjusted at 12:00 and the continuous adjustment time is 3 hours, then .

[0062] In an embodiment of the present application, an industrial load response characteristic model is established based on industrial load characteristics, different industries and equipment types, which quantifies whether the equipment in the industrial industry can participate in regulation when regulation needs arise in each time period, thereby evaluating the adjustable potential in a classified, layered and graded manner, and the data required for the industrial load response characteristic model is also easy to obtain.

[0063] S202. Select typical enterprises in each industry from all enterprises in multiple industries in the region.

[0064] In a possible embodiment, a typical enterprise in each industry can be selected from all enterprises in multiple industries in the region based on whether the production process is representative, whether it is continuously operated throughout the year, whether it contains self-built power plants, and the ranking of industry electricity consumption. Multiple industries are all industrial.

[0065] During the specific implementation process, the score of each enterprise in terms of production technology can be determined based on whether its production technology is representative; the score of each enterprise in terms of continuous operation throughout the year can be determined based on whether each enterprise operates continuously throughout the year; the score of each enterprise in terms of self-built power plants can be determined based on whether each enterprise has its own power plant; and the score of each enterprise in terms of electricity consumption ranking can be determined based on the electricity consumption ranking of each enterprise.

[0066] For example, whether the production process of each enterprise is representative can be determined based on whether the production process of each enterprise meets the industry standards, user feedback on product quality, etc. If the production process of any enterprise is representative, the score of the enterprise in terms of production process is 1, and if the production process of the enterprise is not representative, the score of the enterprise in terms of production process is 0. If the enterprise is in continuous operation throughout the year, the score of the enterprise in terms of continuous operation throughout the year is 1, and if the enterprise is not in continuous operation throughout the year, the score of the enterprise in terms of continuous operation throughout the year is 0. If the enterprise does not contain a self-built power plant, the score of the enterprise in terms of self-built power plants is 1, and if the enterprise contains a self-built power plant, the score of the enterprise in terms of self-built power plants is 0. If the annual electricity consumption ranking of the enterprise in the industry is before the preset ranking, the score of the enterprise in terms of self-built power plants is 1, and if the annual electricity consumption ranking of the enterprise in the industry is after the preset ranking, the score of the enterprise in terms of self-built power plants is 0.

[0067] Finally, the scores of each enterprise in production technology, continuous operation throughout the year, self-built power plants, and electricity consumption ranking were summed up to obtain the comprehensive score of each enterprise, and the enterprise with the highest comprehensive score was taken as a typical enterprise. A typical enterprise refers to the most representative enterprise in each industry.

[0068] In the embodiments of the present application, enterprises with representative production processes, continuous operation throughout the year, no self-built power plants, and high industry electricity consumption are selected as typical enterprises. By considering multiple aspects, we can have a more comprehensive understanding of the comprehensive strength and development potential of each enterprise, so as to screen out the most representative typical enterprises.

[0069] S203. Obtain the adjustable load of a typical enterprise in each industry according to the industrial load response characteristic model.

[0070] In a possible embodiment, according to the industrial load response characteristic model, the equipment response variables of the typical enterprises in each industry are obtained; the equipment response variables indicate whether the equipment can participate in regulation when regulation demand is generated in each time period; according to the sum of the rated powers of all equipment of the typical enterprises in each industry, the adjustable proportion of each type of equipment of the typical enterprises in each industry in each time period and the equipment response variables of the typical enterprises in each industry, the adjustable load of the typical enterprises in each industry is obtained.

[0071] In the specific implementation process, according to the above industrial load response characteristic model, the equipment response variable W of a typical enterprise in each industry can be obtained. h=α,c,ts , that is, whether the c-th equipment of the typical enterprise α in the h-th industry can participate in the regulation when the regulation demand is generated in the ts period. The adjustable ratio refers to the power ratio that the equipment can adjust, which is related to the production characteristics of the equipment. The adjustable load refers to the load scale that can be adjusted in each period.

[0072] The formula for calculating the adjustable load of a typical enterprise is as follows:

[0073]

[0074] Among them, L h=α,ts represents the adjustable load of a typical enterprise α in the hth industry during period ts, P h=α,c represents the rated power of the cth type of equipment in a typical enterprise α in the hth industry, C h=α represents the total number of equipment involved in a typical enterprise α in the hth industry, It is the dot product symbol between arrays. h=α,c It represents the adjustable proportion of the c-th type of equipment in each time period of a typical enterprise α in the h-th industry. It is an array with a length of 24 and array element values ​​greater than or equal to 0 and less than or equal to 1.

[0075] For example: , indicating that the device can operate at a maximum power reduction of 50% during the two periods of 8-9 and 19-21, and can be shut down during the period of 10-14.

[0076] In the embodiment of the present application, it is only necessary to visit typical enterprises in each industry to obtain the rated power P of each type of equipment. h=α,c , the continuously adjustable time T of each type of equipment h,c , the adjustable ratio R of each type of equipment in each period h=α,c , we can evaluate the adjustable load of typical enterprises based on the industrial load response characteristic model, and then evaluate the adjustable load of the entire region based on the adjustable load of typical enterprises. Compared with traditional solutions, each industry only needs to select typical enterprises for research, which greatly reduces the research workload.

[0077] S204. Obtain the adjustable load of each industry according to the adjustable load of typical enterprises in each industry.

[0078] In a possible embodiment, the proportion of electricity consumption of typical enterprises in each industry is determined; and the ratio between the adjustable load of the typical enterprises in each industry and the proportion of electricity consumption is determined as the adjustable load of each industry.

[0079] Taking into account the characteristics of production processes, production equipment, production rules, etc. between different enterprises in the same industry in the region, which usually have certain similarities, therefore, in the embodiment of the present application, based on the load similarity deduction method, that is, based on the proportion of electricity consumption of typical enterprises in each industry, the adjustable load of each industry, that is, the load scale that can be adjusted in each industry in each time period, can be calculated.

[0080] This involves how to determine the proportion of electricity consumption. There are many ways to determine it, which are introduced below.

[0081] The first method is to determine the ratio of the annual electricity consumption of typical enterprises in each industry to the maximum load utilization hours of each industry as the calculated load of the typical enterprises in each industry; the ratio of the annual electricity consumption of each industry to the maximum load utilization hours of each industry is determined as the calculated load of each industry; the ratio of the calculated load of the typical enterprises in each industry to the calculated load of each industry is determined as the proportion of electricity consumption of the typical enterprises in each industry.

[0082] Among them, annual electricity consumption refers to the total amount of electric energy consumed in one year, maximum load utilization hours refers to the ratio of actual load operating hours in one year to its maximum load, and calculated load refers to the ratio between annual electricity consumption and maximum load utilization hours.

[0083] For example, the calculation formula is as follows:

[0084]

[0085] Among them, P h=α,max represents the computational load of a typical enterprise α in the hth industry, E h=α represents the annual electricity consumption of a typical enterprise α in the hth industry, U h Represents the maximum load utilization hours of the hth industry.

[0086]

[0087] Among them, P h,max represents the computational load of the hth industry, E h represents the annual electricity consumption of the hth industry, U h Represents the maximum load utilization hours of the hth industry.

[0088]

[0089] Among them, D h=α represents the proportion of electricity consumption of a typical enterprise α in the hth industry, P h=α,max represents the computational load of a typical enterprise α in the hth industry, P h,max represents the computational load of the hth industry.

[0090] The second method is to determine the ratio of the annual electricity consumption of a typical enterprise in each industry to the annual electricity consumption of each industry as the proportion of electricity consumption of the typical enterprise in each industry.

[0091] Taking into account the situation that it is impossible to obtain the calculated industry load or the industry's maximum load utilization hours, the annual electricity consumption ratio is directly used as the proportion of electricity consumption of typical enterprises in the industry.

[0092] For example, the calculation formula is as follows:

[0093]

[0094] Among them, D h=α represents the proportion of electricity consumption of a typical enterprise α in the hth industry, E h represents the annual electricity consumption of the hth industry, E h=α represents the annual electricity consumption of a typical enterprise α in the hth industry.

[0095] It should be noted that the annual electricity consumption and maximum load utilization hours can be obtained through online resources, such as the government's annual statistical bulletin on national economic and social development.

[0096] Furthermore, after determining the ratio between the electricity consumption proportions of typical enterprises in each industry by the first method or the second method, the ratio between the adjustable load and the electricity consumption proportion of typical enterprises in each industry can be determined as the adjustable load of each industry.

[0097] For example, the calculation formula for the adjustable load of each industry is as follows:

[0098]

[0099] Among them, L h,ts represents the adjustable load of the hth industry in the region during the ts period, L h=α,ts represents the adjustable load of a typical enterprise α in the hth industry during period ts, Indicates the proportion of electricity consumption of typical enterprises in each industry.

[0100] If the first method is used to determine the proportion of electricity consumption of typical enterprises, the calculation formula for the adjustable load of each industry can be converted into the following formula:

[0101]

[0102] If the second method is used to determine the proportion of electricity consumption of typical enterprises, the calculation formula for the adjustable load of each industry can be converted to:

[0103]

[0104] S205. Sum the adjustable loads of multiple industries to obtain the adjustable load of the region.

[0105] The adjustable load of a region refers to the load scale that can be adjusted by all industrial sectors in the region at different time periods. The specific calculation formula is as follows:

[0106]

[0107] Among them, L ts represents the adjustable load of the area during the ts period, L h,ts It represents the adjustable load of the hth industry in the region during the period ts, and H is the number of all industrial sectors in the region.

[0108] The following takes the electrolytic aluminum industry in City X as an example to introduce in detail the evaluation method for industrial adjustable load provided in the embodiment of the present application.

[0109] For example, BH, a typical enterprise in the electrolytic aluminum industry in City X, produces 450,000 tons of aluminum liquid annually. The enterprise produces continuously for 24 hours, and the user's annual electricity consumption is 9.5 billion kWh. The main production systems of electrolytic aluminum include: power system, rectifier system, casting system, and purification system. For electrolytic aluminum users, the voltage drop of electrolytic cell current will have a great impact on the user's production plan, and the production loss and increased equipment maintenance costs caused by the stoppage of the cell are extremely high, and may even shorten the life of the production equipment. Therefore, combined with the actual production and equipment conditions of the user, the real adjustable resources of the electrolytic aluminum industry users mainly include 3700kW of shutting down the air compressor and ball mill, 600kW of interrupting the casting machine, 4600kW of interrupting the medium frequency furnace, and 52000kW of short-term voltage drop of 5% of the electrolytic cell current. Since the voltage drop of more than 10% of the electrolytic cell current will affect the user's production capacity, the adjustable load resource pool is not considered here. The classification summary of the adjustable load resources of the electrolytic aluminum user is shown in Table 1.

[0110] Table 1

[0111]

[0112] The maximum load utilization hours and electricity consumption of different industries are shown in Table 2 and Table 3 respectively.

[0113] Table 2

[0114]

[0115] Table 3

[0116]

[0117] Please refer to Figure 3 , which is a schematic diagram of the adjustable ratio of the equipment of a typical enterprise in each time period provided in the embodiment of the present application, from Figure 3 It can be seen that the adjustable proportions of device type 1, device type 2, and device type 3 of a typical enterprise are respectively within the 24 hours of a day.

[0118] Further, according to the data in Tables 1 to 3, the adjustable load scale of the electrolytic aluminum industry when the demand response occurs at 10 o'clock can be obtained by using the evaluation method of the industrial adjustable load provided in the embodiment of the present application, such as Figure 4 As shown in Figure 1, the adjustable load scale of the electrolytic aluminum industry when demand response occurs at 19 o'clock is as follows: Figure 5 shown.

[0119] from Figure 4 It can be seen that when demand response occurs at 10 o'clock, the adjustable resource capacity of the electrolytic aluminum industry in this area from 11 o'clock to 14 o'clock is 110,000 kW, 58,500 kW, 141,500 kW and 44,000 kW respectively. Since the longest adjustable load of the electrolytic aluminum industry is 4 hours of the electrolytic cell, the electrolytic aluminum industry has no adjustable resources after 14 o'clock.

[0120] from Figure 5 It can be seen that when demand response occurs at 19:00, the adjustable resource capacity of the electrolytic aluminum industry in this area from 20:00 to 23:00 is 43,600 kW, 40,000 kW, 47,800 kW and 145,000 kW respectively. Since the longest adjustable load of the electrolytic aluminum industry is 4 hours of the electrolytic cell, the electrolytic aluminum industry has no adjustable resources after 24:00.

[0121] In addition, by comparing the calculation results of the adjustable load at 10 points, it can be found that due to the different adjustable ratios of different time periods and different equipment, the adjustable load of the industry is also different in different demand response periods. Therefore, compared with the traditional non-time-series scale statistics, the time-series adjustable load resource scale calculated by this solution is more accurate.

[0122] In summary, the embodiment of the present application provides an evaluation method for industrial adjustable loads. Based on the industrial load response characteristic model and the load similarity deduction method, the required data source is clear and easy to obtain. The adjustable load scale of the industry in the region at different adjustment periods can be quickly obtained, and the evaluation results are reusable and generalizable.

[0123] In addition, the evaluation method for industrial adjustable loads provided in the embodiments of the present application is applicable to industry because industrial loads in the same industry have similar load characteristics within a region, and the situation of the entire industry can be inferred from typical enterprises.

[0124] Based on the same inventive concept, Figure 6 As shown, the embodiment of the present application also provides an evaluation device for an industrial adjustable load, comprising:

[0125] A model building module is used to build an industrial load response characteristic model; the industrial load response characteristic model is used to indicate whether each type of equipment in each industry can participate in regulation when regulation demand is generated in each time period;

[0126] The enterprise selection module is used to select typical enterprises in each industry from all enterprises in multiple industries in the region; multiple industries are all industrial;

[0127] A load assessment module is used to obtain the adjustable load of typical enterprises in each industry based on the industrial load response characteristic model;

[0128] The load assessment module is also used to obtain the adjustable load of each industry based on the adjustable load of typical enterprises in each industry;

[0129] The load assessment module is also used to sum the adjustable loads of multiple industries to obtain the adjustable load of the region.

[0130] In addition, in one embodiment, the present application also provides a computer device, which includes a processor, a memory, and a computer program stored in the memory, and the computer program implements the aforementioned industrial adjustable load evaluation method when executed by the processor.

[0131] In addition, in one embodiment, the present application also provides a computer storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the aforementioned industrial adjustable load evaluation method is implemented.

[0132] In some embodiments, the computer readable storage medium may be a memory such as FRAM, ROM, PROM, EPROM, EEPROM, flash memory, magnetic surface memory, optical disk, or CD-ROM; or various devices including one or any combination of the above memories. The computer may be various computing devices including intelligent terminals and servers.

[0133] In some embodiments, executable instructions may be in the form of a program, software, software module, script or code, written in any form of programming language (including compiled or interpreted languages, or declarative or procedural languages), and may be deployed in any form, including as a stand-alone program or as a module, component, subroutine or other unit suitable for use in a computing environment.

[0134] As an example, executable instructions may, but need not, correspond to a file in a file system, may be stored as part of a file storing other programs or data, such as in one or more scripts in a HyperText Markup Language (HTML) document, in a single file dedicated to the program in question, or in multiple coordinated files (e.g., files storing one or more modules, subroutines, or code portions).

[0135] By way of example, executable instructions may be deployed to be executed on one computing device, or on multiple computing devices located at one site, or on multiple computing devices distributed across multiple sites and interconnected by a communication network.

[0136] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or system. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or system including the element.

[0137] The serial numbers of the embodiments of the present application are for description only and do not indicate the advantages or disadvantages of the embodiments.

[0138] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as a read-only memory / random access memory, a magnetic disk, or an optical disk), and includes a number of instructions for enabling a multimedia terminal device (which can be a mobile phone, a computer, a television receiver, or a network device, etc.) to execute the methods described in each embodiment of the present application.

[0139] The above are only preferred embodiments of the present application, and are not intended to limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A method for evaluating industrial adjustable loads, characterized in that: include: Establishing an industrial load response characteristic model; the industrial load response characteristic model is used to indicate whether each type of equipment in each industry can participate in regulation when regulation demand is generated in each time period; Selecting a typical enterprise in each industry from all enterprises in the region; the multiple industries are all industrial; According to the industrial load response characteristic model, the adjustable load of a typical enterprise in each industry is obtained; Obtain the adjustable load of each industry based on the adjustable load of typical enterprises in each industry; Summing the adjustable loads of the plurality of industries to obtain the adjustable load of the region; The step of obtaining the adjustable load of a typical enterprise in each industry according to the industrial load response characteristic model includes: According to the industrial load response characteristic model, the equipment response variables of typical enterprises in each industry are obtained; the equipment response variables indicate whether the equipment can participate in regulation when regulation demand is generated in each time period; According to the sum of the rated powers of all the equipment of the typical enterprises in each industry, the adjustable proportion of each type of equipment of the typical enterprises in each industry in each time period, and the equipment response variables of the typical enterprises in each industry, the adjustable load of the typical enterprises in each industry is obtained; The adjustable load of each industry is obtained based on the adjustable load of typical enterprises in each industry, including: Determine the share of electricity consumption in each industry by typical enterprises in each industry; The ratio between the adjustable load of a typical enterprise in each industry and the proportion of electricity consumption is determined as the adjustable load of each industry; Determine the proportion of electricity consumption of typical enterprises in each industry, including: The ratio between the annual electricity consumption of a typical enterprise in each industry and the maximum load utilization hours of each industry is determined as the calculated load of the typical enterprise in each industry; The ratio between the annual electricity consumption of each industry and the maximum load utilization hours of each industry is determined as the calculated load for each industry; The ratio of the computational load of a typical enterprise in each industry to the computational load of each industry is determined as the proportion of electricity consumption of the typical enterprise in each industry.

2. The method for evaluating an industrial adjustable load according to claim 1, characterized in that: The typical enterprises in each industry are selected from all enterprises in multiple industries in the region, including: Typical enterprises in each industry are selected from all enterprises in multiple industries in the region based on whether their production processes are representative, whether they operate continuously throughout the year, whether they include self-built power plants, and the industry's electricity consumption ranking.

3. The method for evaluating industrial adjustable loads according to claim 1, characterized in that: The industrial load response characteristic model is as follows: in, Indicates whether the c-type device in the h-th industry can participate in the regulation when the regulation demand is generated in the ts period. 1 indicates that the device can participate in the regulation, and 0 indicates that the device cannot participate in the regulation. t represents any period of the 24 periods of the day. Indicates the start time of adjustment. Indicates the continuously adjustable time of the cth type equipment in the hth industry.

4. An evaluation device for industrial adjustable loads, characterized in that: include: A model building module is used to build an industrial load response characteristic model; the industrial load response characteristic model is used to indicate whether each type of equipment in each industry can participate in regulation when regulation demand is generated in each time period; A selection module is used to select typical enterprises in each industry from all enterprises in multiple industries in the region; the multiple industries are all industrial; A load evaluation module, for obtaining an adjustable load of a typical enterprise in each industry according to the industrial load response characteristic model; The load evaluation module is further used to obtain the adjustable load of each industry based on the adjustable load of typical enterprises in each industry; The load evaluation module is further used to sum the adjustable loads of the multiple industries to obtain the adjustable load of the region; The step of obtaining the adjustable load of a typical enterprise in each industry according to the industrial load response characteristic model includes: According to the industrial load response characteristic model, the equipment response variables of typical enterprises in each industry are obtained; the equipment response variables indicate whether the equipment can participate in regulation when regulation demand is generated in each time period; According to the sum of the rated powers of all the equipment of the typical enterprises in each industry, the adjustable proportion of each type of equipment of the typical enterprises in each industry in each time period, and the equipment response variables of the typical enterprises in each industry, the adjustable load of the typical enterprises in each industry is obtained; The adjustable load of each industry is obtained based on the adjustable load of typical enterprises in each industry, including: Determine the share of electricity consumption in each industry by typical enterprises in each industry; The ratio between the adjustable load of a typical enterprise in each industry and the proportion of electricity consumption is determined as the adjustable load of each industry; Determine the proportion of electricity consumption of typical enterprises in each industry, including: The ratio between the annual electricity consumption of a typical enterprise in each industry and the maximum load utilization hours of each industry is determined as the calculated load of the typical enterprise in each industry; The ratio between the annual electricity consumption of each industry and the maximum load utilization hours of each industry is determined as the calculated load for each industry; The ratio of the computational load of a typical enterprise in each industry to the computational load of each industry is determined as the proportion of electricity consumption of the typical enterprise in each industry.

5. A computer device, characterized in that: The computer device comprises a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the industrial adjustable load evaluation method according to any one of claims 1 to 3.

6. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and the processor executes the computer program to implement the industrial adjustable load evaluation method according to any one of claims 1 to 3.

Citation Information

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