Comprehensive energy interaction peak regulation market transaction method and related system

Abstract

The invention belongs to the field of electric power system market transaction, and discloses a comprehensive energy interaction peak regulation market transaction method and a related system, which can more accurately evaluate the regulation capability of load side resources by acquiring the interaction peak regulation demand of the next day and converting the interaction peak regulation demand into the total clearing capacity. Meanwhile, by preprocessing the response capacity and calculating the total declaration capacity, the response characteristics of the load side resources can be more effectively understood, so that a more accurate evaluation basis is provided. The problem that the load side resource response capability cannot be accurately measured is avoided, and the decision precision of the peak regulation market is improved. According to the invention, the total clearing capacity is decomposed and sent to the aggregator, so that the load-side resources can participate in the peak regulation of the power grid more flexibly, and the bottleneck that the load-side resources cannot participate in the peak regulation market effectively is avoided. The mode of clearing the capacity after decomposition can ensure the load balance and stability of the power grid, thereby improving the peak regulation efficiency and response speed of the power grid, and achieving a more efficient interactive peak regulation effect.

Description

Technical Field

[0001] The present invention belongs to the field of power system market transactions, and specifically relates to a comprehensive energy interactive peak-shaving market transaction method and related systems. Background Art

[0002] With the increasing penetration of renewable energy and its increasingly significant replacement for traditional thermal power units, the operational characteristics of the power grid have undergone profound changes. The traditional "source follows load" regulation model no longer meets the needs of modern power grids. The volatility and uncertainty of renewable energy pose significant challenges to grid stability. In particular, as the proportion of renewable energy increases, the problem of grid peak regulation becomes increasingly prominent. At the same time, the emergence of new loads with proactive response capabilities, such as electric vehicles and energy storage devices, as well as new energy consumption models such as load aggregators and virtual power plants, has led to a gradual shift in the grid's operational model toward "source-load interaction." Under this new operational model, effectively managing load resources and fully tapping their regulation potential to better participate in grid-interactive peak regulation, thereby enhancing grid stability and emergency response capabilities, has become a key technical task in supporting stable grid operation. Although load-side resources have considerable potential for regulating grid loads, they are limited by factors such as their scale, regulation capacity, and responsiveness, making it difficult for many to independently enter the peak regulation market. Consequently, it is difficult to accurately assess their responsiveness, regulation capabilities, and availability to achieve efficient grid-interactive peak regulation. Summary of the Invention

[0003] The purpose of the present invention is to overcome the above-mentioned shortcomings of being unable to accurately evaluate the response capability, regulation capability and availability of load-side resources and being unable to efficiently perform interactive peak-shaving of power grids, and to provide a comprehensive energy interactive peak-shaving market trading method and related system.

[0004] In order to achieve the above object, the present invention adopts the following technical solutions: In a first aspect, the present invention provides a comprehensive energy interactive peak-shaving market transaction method, comprising the following steps: Obtain the interactive peak-shaving demand for the next day and convert it into the total clearing capacity; obtain the response capacity for 96 time periods of the next day, pre-process the response capacity, and obtain the total declared capacity for each time period; According to the response characteristics of the aggregator, the total clearing capacity is decomposed to obtain the decomposed clearing capacity, and the decomposed clearing capacity is sent to the aggregator; Obtain the capacity data and clearing results of the aggregator, and obtain the completion rate of the aggregator based on the capacity data and clearing results of the aggregator.

[0005] A further improvement of the present invention is to obtain the response capacity of 96 time periods of the next day, pre-process the response capacity, and obtain the total declared capacity of each time period. The specific method is as follows: Obtain the response capacity for 96 time periods the next day, perform statistics and review on the response capacity, eliminate data that does not meet the requirements, and obtain the final total declared capacity for each time period.

[0006] A further improvement of the present invention is that the total clearing capacity is decomposed according to the response characteristics of the aggregator to obtain the decomposed clearing capacity. The specific method of sending the decomposed clearing capacity to the aggregator is as follows: Based on the total declared capacity and total cleared capacity in each period, the deviation data of the total declared capacity and total cleared capacity in each period is obtained. According to the response characteristics of the aggregator, the total cleared capacity and deviation data are decomposed to obtain the decomposed clearing capacity, and the decomposed clearing capacity is sent to the aggregator.

[0007] A further improvement of the present invention is that the response characteristics of the aggregator include the aggregator's clearing ratio and clearing amortization.

[0008] A further improvement of the present invention is that it also includes: Continuously obtain the response results of each aggregator, summarize the response results of each aggregator, and obtain the total response results of each time period.

[0009] A further improvement of the present invention is that when obtaining the capacity data and clearing results of the aggregator, the capacity data and clearing results of the aggregator are obtained every 15 minutes.

[0010] A further improvement of the present invention is that it also includes: Collect the aggregator's power data in real time, combine it with the baseline load data of the operating day, and calculate the response capacity of the aggregator in each period of the operating day.

[0011] In a second aspect, the present invention provides a comprehensive energy interactive peak-shaving market trading system, comprising: The transaction declaration module is used to obtain the interactive peak-shaving demand for the next day and convert it into the total clearing capacity; obtain the response capacity of 96 time periods for the next day, pre-process the response capacity, and obtain the total declared capacity for each time period; The market clearing module is used to decompose the total clearing capacity according to the response characteristics of the aggregator, obtain the decomposed clearing capacity, and send the decomposed clearing capacity to the aggregator; The response evaluation module is used to obtain the capacity data and clearing results of the aggregator, and obtain the completion rate of the aggregator based on the capacity data and clearing results of the aggregator.

[0012] A further improvement of the present invention is that it also includes: The response result summary module is used to continuously obtain the response results of each aggregator, summarize the response results of each aggregator, and obtain the total response results of each time period.

[0013] A further improvement of the present invention is that it also includes: The response capacity statistics module is used to collect the power data of the aggregator in real time, and combine it with the baseline load data of the operating day to count the response capacity of the aggregator in each period of the operating day.

[0014] In a third aspect, the present invention provides an electronic device comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of a comprehensive energy interactive peak-shaving market trading method when executing the computer program.

[0015] In a fourth aspect, the present invention provides a storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of a comprehensive energy interactive peak-shaving market trading method.

[0016] Compared with the prior art, the present invention has the following beneficial effects: By capturing the next day's interactive peak-shaving demand and converting it into total clearing capacity, this method allows for a more accurate assessment of the regulation capabilities of load-side resources. Furthermore, by pre-processing the response capacity and calculating the total declared capacity, the response characteristics of load-side resources can be more effectively understood, providing a more accurate assessment basis. This avoids the inability of traditional methods to accurately measure the response capabilities of load-side resources, improving decision-making accuracy in the peak-shaving market. By decomposing the total clearing capacity and sending it to aggregators, this method enables load-side resources to participate more flexibly in grid peak-shaving, avoiding the bottleneck that prevents load-side resources from effectively participating in the peak-shaving market under traditional scheduling methods. This decomposed clearing capacity approach ensures grid load balance and stability, thereby improving grid peak-shaving efficiency and response speed, achieving more efficient interactive peak-shaving results. By decomposing clearing capacity based on the response characteristics of aggregators, this method ensures that the regulation and response capabilities of various load resources are fully utilized during the peak-shaving process. Aggregators can precisely adjust according to the characteristics of their resources, allowing the grid to more flexibly respond to the demands of different types of load resources during peak-shaving, enhancing the grid's emergency dispatch capabilities in the face of sudden fluctuations. The present invention can reasonably and finely configure the clearing capacity for each time period through accurate capacity data and response capability assessment. This helps to further improve the allocation efficiency of power grid resources, reduce the waste of resources that may occur during peak regulation, reduce the operating costs of the power grid, and improve economic benefits. In summary, while overcoming the problems of inaccurate assessment, insufficient resource participation, and low scheduling efficiency in traditional methods, the present invention improves the accuracy, flexibility, and economy of power grid peak regulation, providing strong technical support for the stable operation and efficient scheduling of the power grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 is a flow chart of the present invention; Figure 2 is a system diagram of the present invention; Figure 3 This is the flowchart of the transaction declaration module; Figure 4 Flowchart of the market clearing module; Figure 5 A flowchart of the response assessment module; Figure 6 This is a system schematic diagram of Example 6. DETAILED DESCRIPTION

[0018] In order to further understand the content of the present invention, the present invention is described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the embodiments are only for explaining the present invention and are not intended to limit it.

[0019] See also Figure 1 , a comprehensive energy interactive peak-shaving market transaction method, comprising the following steps: S1, obtain the interactive peak-shaving demand for the next day, and convert the interactive peak-shaving demand for the next day into the total clearing capacity; obtain the response capacity of 96 time periods of the next day, pre-process the response capacity, and obtain the total declared capacity of each time period.

[0020] S2: Decompose the total clearing capacity according to the response characteristics of the aggregator to obtain the decomposed clearing capacity, and send the decomposed clearing capacity to the aggregator.

[0021] S3, obtaining the capacity data and clearing results of the aggregator, and obtaining the completion rate of the aggregator based on the capacity data and clearing results of the aggregator.

[0022] See also Figure 2 , a comprehensive energy interactive peak-shaving market trading system, including: The transaction declaration module is used to obtain the interactive peak-shaving demand for the next day and convert it into the total clearing capacity; obtain the response capacity of 96 time periods for the next day, pre-process the response capacity, and obtain the total declared capacity for each time period; The market clearing module is used to decompose the total clearing capacity according to the response characteristics of the aggregator, obtain the decomposed clearing capacity, and send the decomposed clearing capacity to the aggregator; The response evaluation module is used to obtain the capacity data and clearing results of the aggregator, and obtain the completion rate of the aggregator based on the capacity data and clearing results of the aggregator.

[0023] Example 1: In S1, the interactive peak-shaving demand for the next day is obtained and converted into the total clearing capacity; the response capacity for 96 time periods of the next day is obtained and pre-processed to obtain the total declared capacity for each time period. The specific method is as follows: See also Figure 3 After receiving the next day's interactive peak-shaving demand from the trading system, the system parses and displays the message sent by the demand trading system and forwards it to the aggregator, who then initiates the declaration process. Aggregators and large users submit their response capacity and price for the next 96 time periods via a web page or data interface, which is then written to the database.

[0024] After the aggregator's declaration deadline, the integrated energy company compiles and reviews the declared data, adjusting any data that does not meet the declaration requirements to arrive at the final total declared capacity for each time period. Before the transaction declaration deadline, the declared data is sent to the provincial company's trading system via the data interface, completing the transaction declaration process.

[0025] Example 2: In S2, the total clearing capacity is decomposed according to the response characteristics of the aggregator to obtain the decomposed clearing capacity. The specific method of sending the decomposed clearing capacity to the aggregator is as follows: See also Figure 4 After receiving the day-ahead peak-shaving and clearing results from the power trading platform, the integrated energy company, as a first-tier aggregator, performs a secondary decomposition based on the response characteristics of the aggregator and large user resources. The calculated decomposition strategy is then sent to the second-tier aggregator, who then forwards it to its users and monitors their implementation.

[0026] After the trading system completes the market clearing, it will release the clearing results to the integrated energy company, including the total clearing capacity for each time period of the next day. The integrated energy trading software will decompose the total clearing volume to each secondary aggregator based on the declared data of the secondary aggregator, the deviation between the total declared amount and the total clearing volume, and the allocation strategy such as proportional and equal distribution, including the clearing capacity of each time period of the secondary aggregator, and send it through the data interface. On the operation day, the secondary aggregator will arrange and generate a plan based on the clearing results and respond to the clearing results of each time period. After the operation day ends, the secondary aggregator will send the response results of each time period to the trading software through the data interface. The integrated energy company will verify and count the response results of each aggregator, obtain the total response results of each time period, and send it to the trading system through the data interface to complete the market clearing process.

[0027] Example 3: In S3, the capacity data and clearing results of the aggregator are obtained. Based on the capacity data and clearing results of the aggregator, the specific method for obtaining the completion rate of the aggregator is as follows: See also Figure 5After market clearing is complete, aggregators and large users generate plans based on the clearing response results on the operating day and evaluate their responses to interactive peak-shaving transactions. Every 15 minutes on the operating day, the end-user operating power and the aggregator's total active power are transmitted to the integrated energy trading software via a data interface. After the operating day, the trading software calculates the response capacity of the aggregator and large user for each period of the operating day based on the operating day power data of the aggregator and large user, combined with their baseline load data for the operating day, and stores it in the database. Based on the corresponding capacity data and clearing results of the aggregator and large user, the response completion rate of the aggregator and large user is evaluated and stored in the database as the basis for subsequent settlement.

[0028] Example 4: In Example 3, user registration provides user registration and contract management for large users and small and medium-sized aggregators. When registering, users need to enter basic registration information and select the type of business they want to participate in. For businesses participating in interactive peak-shaving services, additional information such as response capability and response time needs to be filled in, and the corresponding demand-side response contract needs to be signed later. The integrated energy company signs an agency contract with small and medium-sized aggregators. On the one hand, the response capability is signed according to the contract type, and on the other hand, the profit sharing method is agreed upon. The contract content includes: response capacity, advance notice time, single response cycle, resumption of operation time, and the profit sharing method and ratio of both parties.

[0029] User types primarily include large users, electric vehicle companies, centralized energy storage, and other direct market participants, as well as load aggregators that aggregate small and medium-sized users. Integrated energy companies register with the trading system as market entities. To meet the requirements of the interactive peak-shaving service, users must provide not only basic information but also relevant data for participating in the interactive peak-shaving service, including capacity, advance notice time, and duration of participation.

[0030] From the perspective of individual resources, resource management displays information such as resource capacity, adjustable capacity, advance notification time, single response cycle, restoration time, resource location, and resource status. Furthermore, based on the characteristics of each resource type, the types of resources that can participate in the market are sorted out, and the market participation type of each resource type is confirmed by user input. A user interface is provided to display the statistically analyzed resources according to different dimensions and display methods. This includes statistical analysis of all user attributes under the aggregator and statistical analysis of all load resources by type, region, and other dimensions to obtain the total response capacity and response time. Multiple display formats are also possible.

[0031] Resource management is carried out from three dimensions. The first dimension is resource attributes. Based on the current collection situation, resources are divided into: power supply type, load type, and energy storage type; the second dimension is resource response capability, including: adjustable capacity, adjustable capacity, etc.; the third dimension is the region to which the resources belong.

[0032] The backend automatically calls this function periodically. Based on the basic information of major users and aggregators, it categorizes and counts the resources that can be adjusted upwards and downwards for interactive peak shaving. It also calculates the regional adjustable resources by county and district, and by region, and stores the information in the database. A visual display interface displays the adjustable information for individual resources, county and district, and region.

[0033] Example 5: Step 1: Obtain the next day's interactive peak-shaving demand and total clearing capacity 1. Obtain the next day's interactive peak-shaving demand: Assuming that the market trading system is used, the interactive peak-shaving demand for the next day is: Peak demand: 200 MW Demand valley: 50 MW Duration: 24 hours a day the next day, each hour is divided into 96 time periods (each period is 15 minutes).

[0034] Demand data can be obtained through the market scheduling platform. After statistics and review, the specific demand capacity for each time period can be obtained.

[0035] 2. Calculate the total clearing capacity: Based on the market dispatch results, calculate the total clearing capacity for all periods of the next day. Assume that the clearing capacity for each period is as follows (unit: MW):

[0036] By summarizing all 96 periods, the total clearing capacity for the next day is:

[0037] In actual applications, market demand and clearing capacity will adjust with real-time load and other factors, so this process will proceed dynamically.

[0038] 3. Get the next day's response capacity: The response capacity for the 96-hour period the next day is:

[0039] 4. Statistics and audit response capacity: Through data review, we eliminate response capacity data that does not meet the requirements and ensure that the capacity data used meets market requirements.

[0040] 5. Get the total declared capacity for each period: The reviewed response capacity becomes the total declared capacity for each time period, and can be subsequently allocated and adjusted.

[0041] Step 2: Decompose the clearing capacity based on the aggregator's response characteristics: 1. Based on the deviation data between the total declared capacity and the cleared capacity: Assume that the deviation between the total declared capacity and the total cleared capacity in each period is:

[0042] 2. Decomposition and clearance capacity: Deviation data is distributed to aggregators based on their response characteristics (e.g., clearing ratio, clearing spread, etc.).

[0043] The response characteristics of aggregator A are: clearing ratio 80% and clearing average 20%.

[0044] The response characteristics of aggregator B are: clearing ratio 70% and clearing average 30%.

[0045] 3. Calculate the clearing capacity after decomposition: Aggregator A's clearing capacity after decomposition during the 00:00-00:15 period is: Aggregator A's cleared capacity = 200 × 80% + 10 × 20% = 160 + 2 = 162 MW Aggregator B’s post-decomposition clearing capacity is: Aggregator B's cleared capacity = 200 × 70% + 10 × 30% = 140 + 3 = 143 MW Similar calculations are performed for each time period to derive the specific clearing capacity of each aggregator.

[0046] 4. Send the decomposed cleared capacity to the aggregator: The aggregator adjusts its response based on the clearing capacity it receives.

[0047] Step 3: Obtain capacity data and clearing results from the aggregator every 15 minutes 1. Obtain the aggregator’s capacity data and clearing results: Every 15 minutes, the real-time capacity data and clearing results of aggregators A, B, etc. are obtained through the market monitoring system.

[0048] The actual clearing capacity of aggregator A during the period 00:00-00:15 is 160 MW, and the actual clearing capacity of aggregator B is 140 MW.

[0049] 2. Calculate the aggregator’s completion rate: Aggregator A’s completion rate is:

[0050] Aggregator B’s completion rate is:

[0051] Step 4: Adjust and optimize the aggregator by combining other technologies: This implementation enables the market to accurately decompose capacity based on the next day's peak-shaving demand, track aggregators' responses in real time, and adjust clearing capacity based on completion rates in real time, thereby optimizing energy peak-shaving and trading. This approach effectively balances supply and demand in actual operations, ensuring stable market operation.

[0052] Example 6: See also Figure 6 The present invention also provides an electronic device 100 for a comprehensive energy interactive peak-shaving market trading method; the electronic device 100 includes a memory 101, at least one processor 102, a computer program 103 stored in the memory 101 and executable on the at least one processor 102, and at least one communication bus 104.

[0053] The memory 101 can be used to store the computer program 103. The processor 102 implements the steps of the integrated energy interactive peak-shaving market trading method described in Example 1 by running or executing the computer program stored in the memory 101 and calling the data stored in the memory 101. The memory 101 can mainly include a program storage area and a data storage area. The program storage area can store an operating system, at least one application required for a function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area can store data (such as audio data) created based on the use of the electronic device 100. In addition, the memory 101 can include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device.

[0054] The at least one processor 102 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The processor 102 may be a microprocessor or any conventional processor, etc. The processor 102 is the control center of the electronic device 100 and connects various parts of the entire electronic device 100 using various interfaces and lines.

[0055] The memory 101 in the electronic device 100 stores a plurality of instructions to implement a comprehensive energy interactive peak-shaving market transaction method, and the processor 102 can execute the plurality of instructions to implement: Obtain the interactive peak-shaving demand for the next day and convert it into the total clearing capacity; obtain the response capacity for 96 time periods of the next day, pre-process the response capacity, and obtain the total declared capacity for each time period; According to the response characteristics of the aggregator, the total clearing capacity is decomposed to obtain the decomposed clearing capacity, and the decomposed clearing capacity is sent to the aggregator; Obtain the capacity data and clearing results of the aggregator, and obtain the completion rate of the aggregator based on the capacity data and clearing results of the aggregator.

[0056] Example 7: If the module / unit integrated in the electronic device 100 is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present invention implements all or part of the process in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device that can carry the computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory and read-only memory (ROM, Read-Only Memory).

[0057] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0058] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts 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, a special-purpose computer, an embedded processor, or other programmable data processing device to produce 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 flowcharts and / or block diagrams. 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.

[0059] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work 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 The function specified in one or more boxes.

[0060] 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 the instructions executed on the computer or other programmable device 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.

[0061] 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, ordinary technicians in the field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered by the scope of protection of the claims of the present invention.

Claims

1. A comprehensive energy interactive peak-shaving market transaction method, characterized in that: The following steps are involved: Obtain the next day's interactive peak-shaving demand, and convert the next day's interactive peak-shaving demand into total clearing capacity; Obtain the response capacity of 96 time periods on the next day, pre-process the response capacity, and obtain the total declared capacity of each time period; According to the response characteristics of the aggregator, the total clearing capacity is decomposed to obtain the decomposed clearing capacity, and the decomposed clearing capacity is sent to the aggregator; Obtain the capacity data and clearing results of the aggregator, and obtain the completion rate of the aggregator based on the capacity data and clearing results of the aggregator.

2. A comprehensive energy interactive peak-shaving market transaction method according to claim 1, characterized in that: The specific method of obtaining the response capacity of 96 time periods of the next day, preprocessing the response capacity, and obtaining the total declared capacity of each time period is as follows: Obtain the response capacity of 96 time periods on the next day, conduct statistics and review on the response capacity, eliminate the data that does not meet the requirements, and obtain the final total declared capacity for each time period.

3. A comprehensive energy interactive peak-shaving market transaction method according to claim 1, characterized in that: According to the response characteristics of the aggregator, the total clearing capacity is decomposed to obtain the decomposed clearing capacity. The specific method of sending the decomposed clearing capacity to the aggregator is as follows: Based on the total declared capacity and total cleared capacity in each time period, the deviation data of the total declared capacity and total cleared capacity in each time period is obtained. According to the response characteristics of the aggregator, the total clearing capacity and the deviation data are decomposed to obtain the decomposed clearing capacity, and the decomposed clearing capacity is sent to the aggregator.

4. A comprehensive energy interactive peak-shaving market transaction method according to claim 3, characterized in that: The response characteristics of the aggregator include the aggregator's clearing ratio and clearing amortization.

5. A comprehensive energy interactive peak-shaving market transaction method according to claim 1, characterized in that: Also includes: Continuously obtain the response results of each aggregator, summarize the response results of each aggregator, and obtain the total response results of each time period.

6. A comprehensive energy interactive peak-shaving market transaction method according to claim 1, characterized in that: When obtaining the capacity data and clearing results of the aggregator, obtain the capacity data and clearing results of the aggregator every 15 minutes.

7. A comprehensive energy interactive peak-shaving market transaction method according to claim 1, characterized in that: Also includes: The power data of the aggregator is collected in real time, combined with the baseline load data of the operating day, to calculate the response capacity of the aggregator in each period of the operating day.

8. A comprehensive energy interactive peak-shaving market trading system, characterized in that: include: The transaction declaration module is used to obtain the interactive peak-shaving demand of the next day and convert the interactive peak-shaving demand of the next day into the total clearing capacity; Obtain the response capacity of 96 time periods on the next day, pre-process the response capacity, and obtain the total declared capacity of each time period; A market clearing module is used to decompose the total clearing capacity according to the response characteristics of the aggregator, obtain the decomposed clearing capacity, and send the decomposed clearing capacity to the aggregator; The response evaluation module is used to obtain the capacity data and clearing results of the aggregator, and obtain the completion rate of the aggregator based on the capacity data and clearing results of the aggregator.

9. A comprehensive energy interactive peak-shaving market trading system according to claim 8, characterized in that: Also includes: The response result summary module is used to continuously obtain the response results of each aggregator, summarize the response results of each aggregator, and obtain the total response results of each time period.

10. The comprehensive energy interactive peak-shaving market trading system according to claim 8, characterized in that: Also includes: The response capacity statistics module is used to collect the power data of the aggregator in real time, and combine it with the baseline load data of the operating day to count the response capacity of the aggregator in each period of the operating day.

11. An electronic device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the processor implements the steps of a comprehensive energy interactive peak-shaving market trading method described in any one of claims 1 to 7.

12. A storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of a comprehensive energy interactive peak-shaving market trading method described in any one of claims 1 to 7 are implemented.

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