A charging pile scheduling method and device based on charging pile response characteristics

Abstract

This invention relates to the field of demand response regulation technology, specifically providing a charging pile scheduling method and apparatus based on the response characteristics of charging piles. The method includes: classifying charging piles based on their response accuracy and linear fitting degree; and scheduling charging piles to participate in demand response based on the classification results. The technical solution provided by this invention enables charging pile resources with good response capabilities and high economic efficiency to prioritize and accurately meet regulation needs, helping to improve the power grid's ability to precisely regulate large-scale electric vehicle loads and creating a new seamless and orderly charging system for electric vehicles.

Description

Technical Field

[0001] This invention relates to the field of demand response control technology, and specifically to a charging pile scheduling method and device based on the response characteristics of charging piles. Background Technology

[0002] When electric vehicles participate in diversified market services such as electricity trading, grid ancillary services, and demand response, they need to act as flexible loads to respond flexibly and accurately to the control signals of these diverse markets. In actual control, the adjustable potential of various types of electric vehicle charging piles, the significant differences in execution accuracy among different batches and types of charging piles, the non-real-time synchronization of data transmission from large-scale charging piles, and the high randomness of electric vehicle charging all contribute to the low accuracy of real-time control response for electric vehicles.

[0003] Currently, most control strategies for charging piles are planned controls, but the execution accuracy varies among different manufacturers, resulting in low real-time control response accuracy for large-scale electric vehicles. During market periods, a deviation exceeding 20% ​​of the plan can lead to no revenue. Therefore, there is an urgent need to propose a technology for clustering charging piles and achieving precise control within each cluster, supporting precise control of large-scale electric vehicle loads and providing high-quality, adjustable resources for the power grid.

[0004] Most existing technologies begin with the key factors to consider in charging and discharging load modeling, among which regulation uncertainty is one of the key factors affecting charging and discharging load prediction and precise control. Considering the different charging patterns resulting from the different uses of electric vehicles, this paper proposes a probability distribution model for the charging load of three different types of electric vehicles (private cars, buses, and taxis), and a charging power calculation model that varies with charging time, deriving the load distribution of taxis, buses, and private cars. However, current technologies mainly focus on electric vehicles as the charging and discharging load, neglecting the close relationship between the response characteristics of charging piles and the precise regulation of electric vehicle loads. Research on electric vehicle charging demand and charging and discharging characteristics is also mostly based on the premise of ideal charging piles, leading to situations where the regulation accuracy in actual situations falls far short of expectations. Summary of the Invention

[0005] To overcome the above-mentioned shortcomings, this invention proposes a charging pile scheduling method and device based on the response characteristics of charging piles.

[0006] Firstly, a charging pile scheduling method based on the response characteristics of charging piles is provided, the charging pile scheduling method based on the response characteristics of charging piles includes:

[0007] Charging piles are categorized based on their response accuracy and linear fitting degree.

[0008] Charging piles are scheduled to participate in demand response based on their classification results.

[0009] Preferably, the calculation formula for the response accuracy of the charging pile is as follows:

[0010]

[0011] In the above formula, K represents the response accuracy of the charging pile, T represents the observation period, and P... kr,t Let P be the power output of the charging pile at time t. kt,t Let t be the target power of the charging pile at time t.

[0012] Furthermore, the formula for calculating the linear fit of the charging pile is as follows:

[0013]

[0014] In the above formula, R represents the linearity of the charging pile. The power fitting result is the response result of the charging pile at time t. Let be the average power of the charging pile's response at time t.

[0015] Furthermore, the calculation formula for the power fitting result of the charging pile's response at time t is as follows:

[0016]

[0017] In the above formula, p00, p10, and p01 are the first, second, and third fitting parameters, respectively, and P kc,t Let t be the actual power of the charging pile at time t.

[0018] Furthermore, the formula for calculating the average power of the charging pile's response at time t is as follows:

[0019]

[0020] Preferably, the classification of charging piles based on their response accuracy and linear fitting degree includes:

[0021] The type of charging pile is determined based on its response accuracy and linear fitting degree.

[0022] Charging piles are categorized based on their type.

[0023] Furthermore, the determination of the charging pile type based on the charging pile's response accuracy and linear fitting degree includes:

[0024] If the response accuracy of the charging pile is in the range of [0.9, 1.1], then the charging pile is a high-precision pile; otherwise, the charging pile is a low-precision pile.

[0025] If the linearity of the charging pile is higher than 0.8, then the charging pile is a linearly fit pile; otherwise, the charging pile is a non-linearly fit pile.

[0026] Furthermore, the classification of charging piles based on charging pile type includes:

[0027] When a charging pile is classified as a high-precision charging pile or a linearly fitable charging pile, it is assigned to the first set of charging piles.

[0028] When a charging pile belongs to the low-precision pile and the linearly fitable pile, the charging pile is classified into the second charging pile set.

[0029] When a charging pile is classified as a high-precision charging pile or a non-linearly fitable charging pile, the charging pile is assigned to the third set of charging piles.

[0030] When a charging pile is classified as a low-precision pile or a pile that cannot be linearly fitted, it is assigned to the fourth set of charging piles.

[0031] Furthermore, the scheduling of charging piles to participate in demand response based on the classification results of charging piles includes:

[0032] Let the priority of the first charging pile set be > the priority of the second charging pile set > the priority of the third charging pile set > the priority of the fourth charging pile set;

[0033] Among the sets of charging stations with available charging stations, those with higher priority are selected to participate in the demand response.

[0034] Secondly, a charging pile scheduling device based on the response characteristics of charging piles is provided, the charging pile scheduling device based on the response characteristics of charging piles includes:

[0035] The classification module is used to categorize charging piles based on their response accuracy and linear fitting degree.

[0036] The scheduling module is used to schedule charging piles to participate in demand response based on the classification results of the charging piles.

[0037] Preferably, the calculation formula for the response accuracy of the charging pile is as follows:

[0038]

[0039] In the above formula, K represents the response accuracy of the charging pile, T represents the observation period, and P... kr,t Let P be the power output of the charging pile at time t. kt,t Let t be the target power of the charging pile at time t.

[0040] Furthermore, the formula for calculating the linear fit of the charging pile is as follows:

[0041]

[0042] In the above formula, R represents the linearity of the charging pile. The power fitting result is the response result of the charging pile at time t. Let be the average power of the charging pile's response at time t.

[0043] Furthermore, the calculation formula for the power fitting result of the charging pile's response at time t is as follows:

[0044]

[0045] In the above formula, p00, p10, and p01 are the first, second, and third fitting parameters, respectively, and P kc,t Let t be the actual power of the charging pile at time t.

[0046] Furthermore, the formula for calculating the average power of the charging pile's response at time t is as follows:

[0047]

[0048] Preferably, the partitioning module is specifically used for:

[0049] The type of charging pile is determined based on its response accuracy and linear fitting degree.

[0050] Charging piles are categorized based on their type.

[0051] Furthermore, the determination of the charging pile type based on the charging pile's response accuracy and linear fitting degree includes:

[0052] If the response accuracy of the charging pile is in the range of [0.9, 1.1], then the charging pile is a high-precision pile; otherwise, the charging pile is a low-precision pile.

[0053] If the linearity of the charging pile is higher than 0.8, then the charging pile is a linearly fit pile; otherwise, the charging pile is a non-linearly fit pile.

[0054] Furthermore, the classification of charging piles based on charging pile type includes:

[0055] When a charging pile is classified as a high-precision charging pile or a linearly fitable charging pile, it is assigned to the first set of charging piles.

[0056] When a charging pile belongs to the low-precision pile and the linearly fitable pile, the charging pile is classified into the second charging pile set.

[0057] When a charging pile is classified as a high-precision charging pile or a non-linearly fitable charging pile, the charging pile is assigned to the third set of charging piles.

[0058] When a charging pile is classified as a low-precision pile or a pile that cannot be linearly fitted, it is assigned to the fourth set of charging piles.

[0059] Furthermore, the scheduling module is specifically used for:

[0060] Let the priority of the first charging pile set be > the priority of the second charging pile set > the priority of the third charging pile set > the priority of the fourth charging pile set;

[0061] Among the sets of charging stations with available charging stations, those with higher priority are selected to participate in the demand response.

[0062] Thirdly, a computer device is provided, comprising: one or more processors;

[0063] The processor is used to store one or more programs;

[0064] When the one or more programs are executed by the one or more processors, the charging pile scheduling method based on the charging pile response characteristics is implemented.

[0065] Fourthly, a computer-readable storage medium is provided, on which a computer program is stored, wherein when the computer program is executed, the charging pile scheduling method based on the charging pile response characteristics is implemented.

[0066] The above-described technical solutions of the present invention have at least one or more of the following beneficial effects:

[0067] This invention provides a charging pile scheduling method and apparatus based on the response characteristics of charging piles, comprising: classifying charging piles based on their response accuracy and linear fitting degree; and scheduling charging piles to participate in demand response based on the classification results. The technical solution provided by this invention enables charging pile resources with good response capabilities and high economic efficiency to prioritize and accurately meet regulatory needs, improving the accuracy and speed of the power grid and electricity market in large-scale precise regulation of charging pile loads. Simultaneously, it proposes a multi-level real-time regulation technology for charging piles oriented towards target power tracking, enabling large-scale, high-priority charging piles to accurately follow regulatory commands. This helps improve the power grid's ability to precisely regulate large-scale electric vehicle loads, creating a new seamless and orderly charging system for electric vehicles. Attached Figure Description

[0068] Figure 1 This is a schematic diagram of the main steps of the charging pile scheduling method based on the response characteristics of charging piles according to an embodiment of the present invention;

[0069] Figure 2 This is a main structural block diagram of a charging pile scheduling device based on the response characteristics of charging piles according to an embodiment of the present invention. Detailed Implementation

[0070] The specific embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

[0071] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0072] As disclosed in the background section, when electric vehicles participate in diversified market services such as electricity trading, grid ancillary services, and demand response, they need to act as flexible loads to respond flexibly and accurately to the control signals of these diversified markets. In actual control, the adjustable potential of various types of electric vehicle charging pile resources, the significant differences in execution accuracy among multiple batches and types of charging piles, the non-real-time synchronization of data transmission from large-scale charging piles, and the high randomness of electric vehicle charging result in low real-time control response accuracy for electric vehicles.

[0073] Currently, most control strategies for charging piles are planned controls, but the execution accuracy varies among different manufacturers, resulting in low real-time control response accuracy for large-scale electric vehicles. During market periods, a deviation exceeding 20% ​​of the plan can lead to no revenue. Therefore, there is an urgent need to propose a technology for clustering charging piles and achieving precise control within each cluster, supporting precise control of large-scale electric vehicle loads and providing high-quality, adjustable resources for the power grid.

[0074] Most existing technologies begin with the key factors to consider in charging and discharging load modeling, among which regulation uncertainty is one of the key factors affecting charging and discharging load prediction and precise control. Considering the different charging patterns resulting from the different uses of electric vehicles, this paper proposes a probability distribution model for the charging load of three different types of electric vehicles (private cars, buses, and taxis), and a charging power calculation model that varies with charging time, deriving the load distribution of taxis, buses, and private cars. However, current technologies mainly focus on electric vehicles as the charging and discharging load, neglecting the close relationship between the response characteristics of charging piles and the precise regulation of electric vehicle loads. Research on electric vehicle charging demand and charging and discharging characteristics is also mostly based on the premise of ideal charging piles, leading to situations where the regulation accuracy in actual situations falls far short of expectations.

[0075] To address the aforementioned issues, this invention provides a charging pile scheduling method and apparatus based on the response characteristics of charging piles. The method includes: classifying charging piles based on their response accuracy and linear fitting degree; and scheduling charging piles to participate in demand response based on the classification results. The technical solution provided by this invention enables charging pile resources with good response capabilities and high economic efficiency to prioritize and accurately meet regulatory demands, improving the accuracy and speed of the power grid and electricity market in large-scale, precise regulation of charging pile loads. Simultaneously, it proposes a multi-level real-time regulation technology for charging piles oriented towards target power tracking, enabling large-scale, high-priority charging piles to accurately follow regulatory commands. This helps enhance the power grid's ability to precisely regulate large-scale electric vehicle loads, creating a new seamless and orderly charging system for electric vehicles. The above solution is described in detail below.

[0076] Example 1

[0077] See appendix Figure 1 , Figure 1 This is a schematic flowchart illustrating the main steps of a charging pile scheduling method based on the response characteristics of charging piles, according to an embodiment of the present invention. Figure 1 As shown, the charging pile scheduling method based on the response characteristics of charging piles in this embodiment of the invention mainly includes the following steps:

[0078] Step S101: Classify the charging piles based on their response accuracy and linear fitting degree;

[0079] Step S102: Based on the classification results of the charging piles, schedule the charging piles to participate in demand response.

[0080] The formula for calculating the response accuracy of the charging pile is as follows:

[0081]

[0082] In the above formula, K represents the response accuracy of the charging pile, T represents the observation period, and P... kr,t Let P be the power output of the charging pile at time t. kt,t K represents the target power of the charging pile at time t. The closer the K value is to 1, the higher the response accuracy of the pile.

[0083] In one embodiment, the formula for calculating the linear fit of the charging pile is as follows:

[0084]

[0085] In the above formula, R represents the linearity of the charging pile. The power fitting result is the response result of the charging pile at time t. Let be the average power of the charging pile's response at time t.

[0086] In one embodiment, the formula for calculating the power fitting result of the charging pile's response at time t is as follows:

[0087]

[0088] In the above formula, p00, p10, and p01 are the first, second, and third fitting parameters, respectively, and P kc,t Let t be the actual power of the charging pile at time t.

[0089] In one embodiment, the formula for calculating the average power of the charging pile's response at time t is as follows:

[0090]

[0091] In this embodiment, the classification of charging piles based on their response accuracy and linear fitting degree includes:

[0092] The type of charging pile is determined based on its response accuracy and linear fitting degree.

[0093] Charging piles are categorized based on their type.

[0094] In one implementation, determining the charging pile type based on the charging pile's response accuracy and linear fitting degree includes:

[0095] If the response accuracy of the charging pile is in the range of [0.9, 1.1], then the charging pile is a high-precision pile; otherwise, the charging pile is a low-precision pile.

[0096] If the linearity of the charging pile is higher than 0.8, then the charging pile is a linearly fit pile; otherwise, the charging pile is a non-linearly fit pile.

[0097] In one implementation, the classification of charging piles based on charging pile type includes:

[0098] When a charging pile is classified as a high-precision charging pile or a linearly fitable charging pile, it is assigned to the first set of charging piles.

[0099] When a charging pile belongs to the low-precision pile and the linearly fitable pile, the charging pile is classified into the second charging pile set.

[0100] When a charging pile is classified as a high-precision charging pile or a non-linearly fitable charging pile, the charging pile is assigned to the third set of charging piles.

[0101] When a charging pile is classified as a low-precision pile or a pile that cannot be linearly fitted, it is assigned to the fourth set of charging piles.

[0102] In one specific implementation, taking a certain public charging station as an example, a total of 969 charging stations are subdivided into the following 4 categories, as shown in Table 1:

[0103] Table 1

[0104] Stake Classification Type 1 Type2 Type 3 Type 4 quantity 363 373 78 155

[0105] In one implementation, scheduling charging piles to participate in demand response based on the classification results of the charging piles includes:

[0106] Let the priority of the first charging pile set be > the priority of the second charging pile set > the priority of the third charging pile set > the priority of the fourth charging pile set;

[0107] Among the sets of charging stations with available charging stations, those with higher priority are selected to participate in the demand response.

[0108] Example 2

[0109] Based on the same inventive concept, this invention also provides a charging pile scheduling device based on the response characteristics of charging piles, such as... Figure 2 As shown, the charging pile scheduling device based on the charging pile response characteristics includes:

[0110] The classification module is used to categorize charging piles based on their response accuracy and linear fitting degree.

[0111] The scheduling module is used to schedule charging piles to participate in demand response based on the classification results of the charging piles.

[0112] Preferably, the calculation formula for the response accuracy of the charging pile is as follows:

[0113]

[0114] In the above formula, K represents the response accuracy of the charging pile, T represents the observation period, and P... kr,t Let P be the power output of the charging pile at time t. kt,t Let t be the target power of the charging pile at time t.

[0115] Furthermore, the formula for calculating the linear fit of the charging pile is as follows:

[0116]

[0117] In the above formula, R represents the linearity of the charging pile. The power fitting result is the response result of the charging pile at time t. Let be the average power of the charging pile's response at time t.

[0118] Furthermore, the calculation formula for the power fitting result of the charging pile's response at time t is as follows:

[0119]

[0120] In the above formula, p00, p10, and p01 are the first, second, and third fitting parameters, respectively, and P kc,t Let t be the actual power of the charging pile at time t.

[0121] Furthermore, the formula for calculating the average power of the charging pile's response at time t is as follows:

[0122]

[0123] Preferably, the partitioning module is specifically used for:

[0124] The type of charging pile is determined based on its response accuracy and linear fitting degree.

[0125] Charging piles are categorized based on their type.

[0126] Furthermore, the determination of the charging pile type based on the charging pile's response accuracy and linear fitting degree includes:

[0127] If the response accuracy of the charging pile is in the range of [0.9, 1.1], then the charging pile is a high-precision pile; otherwise, the charging pile is a low-precision pile.

[0128] If the linearity of the charging pile is higher than 0.8, then the charging pile is a linearly fit pile; otherwise, the charging pile is a non-linearly fit pile.

[0129] Furthermore, the classification of charging piles based on charging pile type includes:

[0130] When a charging pile is classified as a high-precision charging pile or a linearly fitable charging pile, it is assigned to the first set of charging piles.

[0131] When a charging pile belongs to the low-precision pile and the linearly fitable pile, the charging pile is classified into the second charging pile set.

[0132] When a charging pile is classified as a high-precision charging pile or a non-linearly fitable charging pile, the charging pile is assigned to the third set of charging piles.

[0133] When a charging pile is classified as a low-precision pile or a pile that cannot be linearly fitted, it is assigned to the fourth set of charging piles.

[0134] Furthermore, the scheduling module is specifically used for:

[0135] Let the priority of the first charging pile set be > the priority of the second charging pile set > the priority of the third charging pile set > the priority of the fourth charging pile set;

[0136] Among the sets of charging stations with available charging stations, those with higher priority are selected to participate in the demand response.

[0137] Example 3

[0138] Based on the same inventive concept, this invention also provides a computer device, which includes a processor and a memory. The memory stores a computer program, which includes program instructions. The processor executes the program instructions stored in the computer storage medium. The processor may be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing and control core of the terminal, suitable for implementing one or more instructions, specifically suitable for loading and executing one or more instructions in the computer storage medium to implement corresponding method flows or corresponding functions, thereby implementing the steps of a charging pile scheduling method based on charging pile response characteristics in the above embodiments.

[0139] Example 4

[0140] Based on the same inventive concept, this invention also provides a storage medium, specifically a computer-readable storage medium (Memory), which is a memory device in a computer device used to store programs and data. It is understood that the computer-readable storage medium here can include both the built-in storage medium in the computer device and extended storage media supported by the computer device. The computer-readable storage medium provides storage space that stores the terminal's operating system. Furthermore, this storage space also stores one or more instructions suitable for loading and execution by a processor. These instructions can be one or more computer programs (including program code). It should be noted that the computer-readable storage medium here can be a high-speed RAM memory or a non-volatile memory, such as at least one disk storage device. The processor can load and execute one or more instructions stored in the computer-readable storage medium to implement the steps of the charging pile scheduling method based on charging pile response characteristics in the above embodiments.

[0141] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0142] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0143] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0144] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0145] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A charging pile scheduling method based on the response characteristics of charging piles, characterized in that, The method includes: Charging piles are categorized based on their response accuracy and linear fitting degree. Charging piles are scheduled to participate in demand response based on their classification results. The formula for calculating the response accuracy of the charging pile is as follows: In the above formula, For the response accuracy of the charging pile, For the period of investigation, The power is the response result of the charging pile at time t. Let be the target power of the charging pile at time t; The formula for calculating the linear fit of the charging pile is as follows: In the above formula, The degree of linear fit of the charging pile. The power fitting result is the response result of the charging pile at time t. Let be the average power of the charging pile's response at time t.

2. The method as described in claim 1, characterized in that, The formula for calculating the power fitting result of the charging pile's response at time t is as follows: In the above formula, , and These are the first, second, and third fitting parameters, respectively. Let t be the actual power of the charging pile at time t.

3. The method as described in claim 2, characterized in that, The formula for calculating the average power of the charging pile's response at time t is as follows: 。 4. The method as described in claim 1, characterized in that, The classification of charging piles based on their response accuracy and linear fitting degree includes: The type of charging pile is determined based on its response accuracy and linear fitting degree. Charging piles are categorized based on their type.

5. The method as described in claim 4, characterized in that, The method of determining the type of charging pile based on its response accuracy and linear fitting degree includes: If the response accuracy of the charging pile is in the range of [0.9, 1.1], then the charging pile is a high-precision pile; otherwise, the charging pile is a low-precision pile. If the linearity of the charging pile is higher than 0.8, then the charging pile is a linearly fit pile; otherwise, the charging pile is a non-linearly fit pile.

6. The method as described in claim 5, characterized in that, The classification of charging piles based on charging pile type includes: When a charging pile is classified as a high-precision charging pile or a linearly fitable charging pile, it is assigned to the first set of charging piles. When a charging pile belongs to the low-precision pile and the linearly fitable pile, the charging pile is classified into the second charging pile set. When a charging pile is classified as a high-precision charging pile or a non-linearly fitable charging pile, the charging pile is assigned to the third set of charging piles. When a charging pile is classified as a low-precision pile or a pile that cannot be linearly fitted, it is assigned to the fourth set of charging piles.

7. The method as described in claim 6, characterized in that, The scheduling of charging piles to participate in demand response based on the classification results of charging piles includes: Let the priority of the first charging pile set be > the priority of the second charging pile set > the priority of the third charging pile set > the priority of the fourth charging pile set; Among the sets of charging stations with available charging stations, those with higher priority are selected to participate in the demand response.

8. A charging pile scheduling device based on the response characteristics of charging piles, characterized in that, The device includes: The classification module is used to categorize charging piles based on their response accuracy and linear fitting degree. The scheduling module is used to schedule charging piles to participate in demand response based on the classification results of the charging piles; The formula for calculating the response accuracy of the charging pile is as follows: In the above formula, For the response accuracy of the charging pile, For the period of investigation, The power is the response result of the charging pile at time t. Let be the target power of the charging pile at time t; The formula for calculating the linear fit of the charging pile is as follows: In the above formula, The degree of linear fit of the charging pile. The power fitting result is the response result of the charging pile at time t. Let be the average power of the charging pile's response at time t.

9. The apparatus as claimed in claim 8, characterized in that, The formula for calculating the power fitting result of the charging pile's response at time t is as follows: In the above formula, , and These are the first, second, and third fitting parameters, respectively. Let t be the actual power of the charging pile at time t.

10. The apparatus as claimed in claim 9, characterized in that, The formula for calculating the average power of the charging pile's response at time t is as follows: 。 11. The apparatus as claimed in claim 8, characterized in that, The partitioning module is specifically used for: The type of charging pile is determined based on its response accuracy and linear fitting degree. Charging piles are categorized based on their type.

12. The apparatus as claimed in claim 11, characterized in that, The method of determining the type of charging pile based on its response accuracy and linear fitting degree includes: If the response accuracy of the charging pile is in the range of [0.9, 1.1], then the charging pile is a high-precision pile; otherwise, the charging pile is a low-precision pile. If the linearity of the charging pile is higher than 0.8, then the charging pile is a linearly fit pile; otherwise, the charging pile is a non-linearly fit pile.

13. The apparatus as claimed in claim 12, characterized in that, The classification of charging piles based on charging pile type includes: When a charging pile is classified as a high-precision charging pile or a linearly fitable charging pile, it is assigned to the first set of charging piles. When a charging pile belongs to the low-precision pile and the linearly fitable pile, the charging pile is classified into the second charging pile set. When a charging pile is classified as a high-precision charging pile or a non-linearly fitable charging pile, the charging pile is assigned to the third set of charging piles. When a charging pile is classified as a low-precision pile or a pile that cannot be linearly fitted, it is assigned to the fourth set of charging piles.

14. The apparatus as claimed in claim 13, characterized in that, The scheduling module is specifically used for: Let the priority of the first charging pile set be > the priority of the second charging pile set > the priority of the third charging pile set > the priority of the fourth charging pile set; Among the sets of charging stations with available charging stations, those with higher priority are selected to participate in the demand response.

15. A computer device, characterized in that, include: One or more processors; The processor is used to store one or more programs; When the one or more programs are executed by the one or more processors, the charging pile scheduling method based on the charging pile response characteristics as described in any one of claims 1 to 7 is implemented.

16. A computer-readable storage medium, characterized in that, It contains a computer program, which, when executed, implements the charging pile scheduling method based on the charging pile response characteristics as described in any one of claims 1 to 7.

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