User side capacity electricity charge allocation method and device based on load

Abstract

The invention relates to the technical field related to energy scheduling, in particular to a load-based user side capacity electric charge allocation method and device. The method comprises the following steps: acquiring load data in a capacity electric charge settlement period; determining a plurality of peak periods in the capacity electric charge settlement period; for each peak period, according to the principle that the larger the total load of the peak period is, the larger the weight is, weighting processing is carried out on the power consumption data of the peak period to obtain weighted power consumption data; for each user, based on the weighted power consumption data, calculating the sum of the power consumption of the user in the peak period in the capacity electric charge settlement period to obtain weighted power consumption; and based on the weighted electricity consumption of each user, sharing the capacity electricity charge of the user side. According to the arrangement, the capacity electric charge of the power utilization behavior of the user can be reflected more fairly, reasonably and accurately.

Description

Technical Field

[0001] This application relates to the technical field of energy dispatch, and specifically relates to a method and device for allocating capacity electricity charges on the user side based on load. Background Art

[0002] With the deepening of the reform of the power market, building a two-part electricity price mechanism that can effectively reflect the electricity volume value and capacity value of various power sources has become an important development direction. In this context, as an important part of electricity charges, the rationality of the allocation method of capacity electricity charges is of crucial significance for ensuring the stable and orderly operation of the power market and safeguarding the interests of market players.

[0003] At the current stage, it is necessary to adapt to the need for the functional transformation of coal-fired power. The current single-part electricity price for coal-fired power should be adjusted to a two-part electricity price. Among them, the electricity volume price is formed through a market-based method, while the capacity price level is reasonably determined according to the actual situation and gradually adjusted to fully reflect the support and regulation value of coal-fired power to the power system and ensure the sustainable and healthy operation of the coal-fired power industry. According to this mechanism, the capacity electricity charges of coal-fired power in each region are included in the system operation costs and are allocated among industrial and commercial users according to the proportion of electricity consumption in the current month by the power grid enterprise on a monthly basis for release and rolling settlement.

[0004] However, it is found in actual operation that the existing method of allocating capacity electricity charges according to the proportion of monthly electricity consumption has certain limitations. Specifically, this allocation method fails to fully consider the differences in user electricity consumption behavior during peak hours, which may lead to a mismatch between the capacity electricity charges borne by some users with higher loads during peak hours and their actual capacity cost responsibilities, thereby weakening the economic incentive effect for users to reduce loads during peak hours and being unfavorable to the load management and safe and stable operation of the power system during peak hours. Therefore, it has become an urgent task to explore a more fair, reasonable and accurate capacity electricity charge allocation mechanism that can reflect user electricity consumption behavior. Summary of the Invention

[0005] In view of this, embodiments of this application are committed to providing a method and device for allocating capacity electricity charges on the user side based on load.

[0006] This application provides a method for allocating capacity electricity charges on the user side based on load, including:

[0007] Obtain load data during the capacity electricity charge settlement period;

[0008] Determine multiple peak hours during the capacity electricity charge settlement period;

[0009] For each peak hour, according to the principle that the greater the total load during the peak hour, the greater the weight, weight the electricity consumption data during this peak time period to obtain weighted electricity consumption data;

[0010] For each user, based on the weighted power consumption data, calculate the sum of the power consumption of the user during the peak hours within the capacity electricity charge settlement period to obtain the weighted power consumption;

[0011] Based on the weighted power consumption of each user, allocate the capacity electricity charge on the user side.

[0012] In some embodiments, it further includes:

[0013] Determine the total load of each peak hour;

[0014] Normalize the total load of each peak hour to obtain the weighted value corresponding to each peak hour.

[0015] In some embodiments, it further includes: Normalize the total load of each peak hour, and the formula is as follows;

[0016] w = m / M;

[0017] Wherein, w is the weighted value; m is the load of this peak hour; M is the total load of each peak hour.

[0018] In some embodiments, for each peak hour, in accordance with the principle that the greater the total load of the peak hour, the greater the weight, perform weighted processing on the power consumption data of this peak time period to obtain weighted power consumption data, including:

[0019] Take the product of the power consumption of each user in the peak hour and the weighted value corresponding to this peak hour as the weighted power consumption of the user in this peak hour.

[0020] In some embodiments, based on the weighted power consumption of each user, allocate the capacity electricity charge on the user side, including:

[0021] Normalize the weighted power consumption of each user;

[0022] Calculate the product of the normalized weighted power consumption and the capacity electricity charge on the user side as the allocated electricity charge of this user.

[0023] In some embodiments, the formula for normalizing the weighted power consumption of each user is as follows:

[0024] r = q / Q;

[0025] Wherein, r is the normalized weighted power consumption; q is the weighted power consumption of this user; Q is the sum of the weighted power consumption of all users.

[0026] This application provides a device for allocating the capacity electricity charge on the user side based on the load, including:

[0027] An acquisition module, configured to acquire load data within a capacity electricity charge settlement period;

[0028] A determination module, configured to determine multiple peak periods within a capacity electricity charge settlement period;

[0029] A weighting module, configured to, for each peak period, according to the principle that the greater the total load in the peak period, the greater the weight, perform weighting processing on the electricity consumption data in the peak period to obtain weighted electricity consumption data; for each user, based on the weighted electricity consumption data, calculate the sum of the electricity consumption of the user in the peak periods within the capacity electricity charge settlement period to obtain weighted electricity consumption;

[0030] An apportionment module, configured to apportion the capacity electricity charge on the user side based on the weighted electricity consumption of each user.

[0031] The present application provides an electronic device, characterized by comprising:

[0032] A processor, and a memory for storing programs executable by the processor;

[0033] The processor is configured to, by running the program in the memory, implement the method for apportioning the capacity electricity charge on the user side based on load as described above.

[0034] The present application provides a computer-readable storage medium, characterized in that a computer program is stored on the computer-readable storage medium, and when the computer program is run by a processor, the processor is caused to execute the method for apportioning the capacity electricity charge on the user side based on load as described above.

[0035] The present application provides a computer program product, comprising a computer program, and when the computer program is executed by a processor, the method for apportioning the capacity electricity charge on the user side based on load as described above is implemented.

[0036] In the method for apportioning the capacity electricity charge on the user side based on load provided by the present application, first, load data within a capacity electricity charge settlement period is acquired; multiple peak periods within the capacity electricity charge settlement period are determined; for each peak period, according to the principle that the greater the total load in the peak period, the greater the weight, weighting processing is performed on the electricity consumption data in the peak period to obtain weighted electricity consumption data; for each user, based on the weighted electricity consumption data, the sum of the electricity consumption of the user in the peak periods within the capacity electricity charge settlement period is calculated to obtain weighted electricity consumption; based on the weighted electricity consumption of each user, the capacity electricity charge on the user side is apportioned. With such a setting, weights are assigned to each peak period according to the ranking of the peak load, and the higher the load, the greater the weight of the period. Finally, the capacity electricity charge that the user needs to bear is apportioned to the user side according to the calculation result. The higher the load, the greater the weight of the period. In this way, users with a greater impact on capacity will apportion more costs, the apportionment is more reasonable, and power dispatching can be better known. Brief Description of the Drawings

[0037] The above and other objects, features, and advantages of the present application will become more apparent by describing the embodiments of the present application in more detail with reference to the accompanying drawings. The accompanying drawings are used to provide a further understanding of the embodiments of the present application and constitute a part of the specification. They are used together with the embodiments of the present application to explain the present application and do not constitute a limitation to the present application. In the accompanying drawings, the same reference numerals generally represent the same components or steps.

[0038] Figure 1 is a schematic flowchart of a method for allocating capacity electricity charges on the user side based on load provided by an embodiment of the present application.

[0039] Figure 2 is a schematic structural diagram of a device for allocating capacity electricity charges on the user side based on load provided by an embodiment of the present application.

[0040] Figure 3 is a schematic structural diagram of an electronic device provided by an embodiment of the present application. Detailed Description of the Embodiments

[0041] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0042] Exemplary method

[0043] Figure 1 is a schematic flowchart of a method for allocating capacity electricity charges on the user side based on load provided by an embodiment of the present application. As Figure 1 shown, the method includes the following contents.

[0044] Step S110, obtain load data within the capacity electricity charge settlement period;

[0045] Data collection scope: Within the capacity electricity charge settlement period (usually one month), collect load data for each time period. These data may come from the load monitoring system of the power grid enterprise, the power market trading system, etc., to ensure the accuracy and integrity of the data.

[0046] Data content: Include information such as the total load for each time period and the electricity consumption of each user. These data are the basis for subsequent calculations and need to be sorted and stored in chronological order for subsequent processing.

[0047] Step S120, determine multiple peak time periods within the capacity electricity charge settlement period;

[0048] Definition of peak period: According to the collected load data, analyze the load situation of each period, and find out the periods with higher load as peak periods. Usually, the top t periods with the highest load can be selected, and the specific value of t can be determined according to the actual situation. For example, select the top 5 or 10 periods with the highest load. In practical applications, the number of peak periods can be determined based on actual needs.

[0049] Determination method: Statistical analysis methods can be used, such as calculating the average load and standard deviation of each period, and then selecting the periods with load exceeding the average plus a certain multiple of the standard deviation as peak periods; or directly select the periods with the top few loads as peak periods. After determining the peak periods, it is necessary to record the specific time ranges and corresponding load values of these periods to prepare for subsequent weight allocation and weighted calculation.

[0050] Step S130, for each peak period, in accordance with the principle that the greater the total load of the peak period, the greater the weight, perform weighted processing on the power consumption data of this peak time period to obtain weighted power consumption data;

[0051] Weight allocation principle: Sort the peak periods in descending order according to the total load, and then assign weights in turn. The weight allocation should satisfy that the higher the load of the period, the greater the corresponding weight, and the sum of the weights of all peak periods is 1. For example, a linear weight allocation method can be used, that is, assign weights in turn according to the load size, so that the weight of the first peak period (the highest load) is the largest, the weight of the second peak period is the second largest, and so on.

[0052] Weighted processing method: For each peak period, according to its corresponding weight, perform weighting on the power consumption data within this period. Specifically, multiply the power consumption of each user by the weight of this period to obtain the weighted power consumption data. The purpose of this step is to highlight the impact of the power consumption behavior during the period with higher load on the sharing of capacity electricity charges, making the sharing result more reasonable and fair.

[0053] Step S140, for each user, based on the weighted power consumption data, calculate the sum of the power consumption of the user during the peak periods within the capacity electricity charge settlement period to obtain the weighted power consumption;

[0054] User data matching: Match the power consumption data of each user with the weighted data of each peak period to find out the power consumption of the user during each peak period and the corresponding weighted value.

[0055] Weighted electricity consumption calculation: For each user, multiply the electricity consumption during each peak period by the corresponding weight, and then sum up these weighted electricity consumptions to obtain the weighted electricity consumption of the user during the capacity electricity charge settlement period. This step comprehensively considers the user's electricity consumption behavior during different peak periods and their corresponding weights, providing a basis for subsequent capacity electricity charge sharing.

[0056] Step S150: Based on the weighted electricity consumption of each user, allocate the user-side capacity electricity charge.

[0057] Allocation principle: Allocate the user-side capacity electricity charge according to the proportion of each user's weighted electricity consumption in the total sum of all users' weighted electricity consumptions. That is, the capacity electricity charge borne by the user is proportional to the weighted electricity consumption during the peak period. The user with a larger weighted electricity consumption will share more capacity electricity charge.

[0058] The above steps together constitute the complete process of the user-side capacity electricity charge sharing method based on load. Through this process, the capacity electricity charge can be allocated more fairly and reasonably according to the actual electricity consumption behavior of users, motivating users to reduce electricity demand during peak periods and ensuring the stable operation of the power market.

[0059] In some embodiments, it further includes: determining the total load of each peak period; performing normalization processing on the total load of each peak period to obtain the weighted value corresponding to each peak period.

[0060] Specifically, first, it is necessary to collect the load data during the capacity electricity charge settlement period. These data are usually recorded by the metering equipment of the power company and include the power load value at each time point. According to the operating characteristics and historical data of the power system, determine multiple peak periods during the capacity electricity charge settlement period. These peak periods are usually the time periods with higher electricity demand, such as the morning and evening of each day; for each determined peak period, sum up all the load data within that period to obtain the total load of that peak period.

[0061] Performing normalization processing on the total load of each peak period to obtain the weighted value corresponding to each peak period. Purpose of normalization processing: The purpose of normalization processing is to convert the total load of each peak period into a relative weight value, so that these weight values can reflect the relative importance of each peak period in the overall load. The obtained weighted value will be used in the subsequent weighting processing step, that is, weighting the electricity consumption data of each peak period to reflect the contribution of the load in that period to the overall load.

[0062] Through the above steps, it can be ensured that during the process of capacity electricity charge sharing, the load contribution of each peak period is reasonably reflected, making the sharing result more fair and reasonable.

[0063] Further, the total load for each peak period is normalized using the following formula: w = m / M; where w is the weighted value, m is the load during that peak period, and M is the total load for all peak periods.

[0064] Through normalization, the total load for each peak period is converted into weighted values, enabling these weighted values to be compared between 0 and 1, and the sum of all weighted values is 1. This helps in subsequent weighted processing steps to allocate weights based on the relative load magnitudes of each peak period, thus more accurately reflecting the impact of users' electricity consumption behaviors during different peak periods on the capacity electricity charge. For example, a peak period with a higher load will have a larger weighted value, indicating that the user's electricity consumption behavior during that period has a greater impact on the sharing of the capacity electricity charge.

[0065] For each peak period, in accordance with the principle that the greater the total load of the peak period, the greater the weight, the electricity consumption data for that peak period is weighted to obtain weighted electricity consumption data, including:

[0066] The product of the electricity consumption of each user in the peak period and the weighted value corresponding to that peak period is used as the weighted electricity consumption of the user in that peak period.

[0067] In the capacity electricity charge sharing method, in order to fairly and reasonably allocate the capacity electricity charge according to users' electricity consumption behaviors during peak periods, it is necessary to weight the electricity consumption data for each peak period. This is because the load magnitudes of different peak periods are different, and the impacts of users' electricity consumption behaviors during different peak periods on the capacity electricity charge are also different. Through weighted processing, the sharing result can better reflect the actual electricity consumption impacts of users during each peak period. By multiplying the electricity consumption of users in each peak period by their corresponding weighted values, when the load during the peak period is higher, the impact of users' electricity consumption behaviors on the sharing of the capacity electricity charge is greater. This method is more fair and reasonable because it takes into account users' electricity consumption behaviors at different load levels and avoids the unreasonableness that may arise from simply allocating according to electricity consumption or a single standard. At the same time, weighted processing also helps to guide users to reasonably control electricity consumption during peak periods, promoting the stable operation of the power system and the optimal allocation of resources.

[0068] In some embodiments, based on the weighted electricity consumption of each user, the capacity electricity charge on the user side is allocated, including:

[0069] Normalize the weighted electricity consumption of each user;

[0070] Calculate the product of the normalized weighted electricity consumption and the capacity electricity charge on the user side as the allocated electricity charge for that user.

[0071] The formula for normalizing the weighted electricity consumption of each user is as follows:

[0072] r = q / Q;

[0073] Where r is the weighted electricity consumption after normalization; q is the weighted electricity consumption of the user; Q is the sum of the weighted electricity consumptions of all users.

[0074] The purpose of normalization is to convert the weighted electricity consumption of each user into a relative proportion value, enabling the weighted electricity consumptions of all users to be compared on the same scale and with a total sum of 1. This helps to fairly allocate the capacity electricity charges on the user side and ensures that the sharing ratio of each user matches their relative electricity consumption behavior.

[0075] The specific formula for normalization is as follows:

[0076] Where:

[0077] ri represents the weighted electricity consumption of the i-th user after normalization;

[0078] qi represents the weighted electricity consumption of the i-th user;

[0079] Q represents the sum of the weighted electricity consumptions of all users, that is where n is the total number of users.

[0080] Calculate the weighted electricity consumption (qi) of each user: Based on the weighted electricity consumption of each user during each peak period obtained in the previous steps, sum up these values to obtain the total weighted electricity consumption qi of each user within the capacity electricity charge settlement period.

[0081] Calculate the sum of the weighted electricity consumptions of all users (Q): Sum up the qi of all users to obtain Q.

[0082] Calculate the normalized weighted electricity consumption (ri) of each user: Using the above formula, divide the qi of each user by Q to obtain ri.

[0083] 2. Sharing calculation

[0084] Purpose: Calculate the capacity electricity charge to be shared by each user based on the normalized weighted electricity consumption. This method ensures that the sharing of the capacity electricity charge is consistent with the relative impact of the actual electricity consumption behavior of the users during peak periods.

[0085] Formula: The formula for calculating the shared electricity charge Ci of the user is as follows: C i = r i × C

[0086] Where:

[0087] Ci represents the shared electricity charge of the i-th user;

[0088] $r_i$ represents the weighted electricity consumption of the $i$-th user after normalization;

[0089] $C$ represents the total capacity electricity charge on the user side.

[0090] Steps:

[0091] Obtain the total capacity electricity charge ($C$) on the user side: This is the total amount of capacity electricity charge that needs to be jointly shared by the user side during the capacity electricity charge settlement period.

[0092] Calculate the shared electricity charge ($C_i$) for each user: Multiply the normalized weighted electricity consumption $r_i$ of each user by the total capacity electricity charge $C$ to obtain the electricity charge $C_i$ that the user needs to share.

[0093] Through this normalization processing and sharing calculation method based on the user's weighted electricity consumption, a fair and reasonable sharing of the capacity electricity charge on the user side can be achieved. It fully considers the impact of the user's electricity consumption behavior during peak hours on the capacity electricity charge, making the sharing result more accurate and fair. At the same time, this method also helps to guide users to optimize their electricity consumption behavior, reduce the electricity demand during peak hours, and thus promote the stable operation of the power system and the rational use of resources.

[0094] Exemplary device

[0095] The device embodiment of the present application can be used to execute the method embodiment of the present application. For the details not disclosed in the device embodiment of the present application, please refer to the method embodiment of the present application.

[0096] Figure 2 The block diagram of the user-side capacity electricity charge sharing device based on load provided by an embodiment of the present application is shown. As Figure 2 shown, the device includes:

[0097] An acquisition module 21, configured to acquire load data during the capacity electricity charge settlement period;

[0098] A determination module 22, configured to determine multiple peak hours during the capacity electricity charge settlement period;

[0099] A weighting module 23, configured to, for each peak hour, according to the principle that the greater the total load during the peak hour, the greater the weight, perform weighting processing on the electricity consumption data during the peak hour period to obtain weighted electricity consumption data; for each user, based on the weighted electricity consumption data, calculate the sum of the electricity consumption of the user during the peak hours in the capacity electricity charge settlement period to obtain the weighted electricity consumption;

[0100] A sharing module 24, configured to share the user-side capacity electricity charge based on the weighted electricity consumption of each user.

[0101] In some embodiments, it further includes:

[0102] Determine the total load for each peak period;

[0103] Normalize the total load for each peak period to obtain a weighted value corresponding to each peak period.

[0104] In some embodiments, it further includes: normalizing the total load for each peak period, and the formula is as follows;

[0105] w = m / M;

[0106] where w is the weighted value; m is the load of this peak period; M is the total load of each peak period.

[0107] In some embodiments, for each peak period, according to the principle that the greater the total load of the peak period, the greater the weight, the electricity consumption data of this peak time period is weighted to obtain weighted electricity consumption data, including:

[0108] Take the product of the electricity consumption of each user in the peak period and the weighted value corresponding to this peak period as the weighted electricity consumption of the user in this peak period.

[0109] In some embodiments, based on the weighted electricity consumption of each user, allocate the capacity electricity fee on the user side, including:

[0110] Normalize the weighted electricity consumption of each user;

[0111] Calculate the product of the weighted electricity consumption after normalization and the capacity electricity fee on the user side as the electricity fee allocated to this user.

[0112] In some embodiments, the formula for normalizing the weighted electricity consumption of each user is as follows:

[0113] r = q / Q;

[0114] where r is the weighted electricity consumption after normalization; q is the weighted electricity consumption of this user; Q is the sum of the weighted electricity consumption of all users.

[0115] Exemplary electronic device

[0116] Next, refer to Figure 3 to describe the electronic device according to an embodiment of the present application. Figure 3 The block diagram of the electronic device according to an embodiment of the present application is illustrated.

[0117] As Figure 3 shown, the electronic device 300 includes one or more processors 310 and a memory 320.

[0118] The processor 310 may be a central processing unit (CPU) or other form of processing unit with data processing capabilities and / or instruction execution capabilities, and may control other components in the electronic device 300 to perform desired functions.

[0119] The memory 320 may include one or more computer program products, and the computer program products may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory may include, for example, random access memory (RAM) and / or cache memory, etc. The non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, etc. One or more computer program instructions may be stored on the computer-readable storage media, and the processor 310 may run the program instructions to implement the load-based user-side capacity electricity cost sharing method of various embodiments of the present application described above and / or other desired functions. Various contents such as category correspondence relationships may also be stored in the computer-readable storage media.

[0120] In one example, the electronic device 300 may further include: an input device 330 and an output device 340, and these components are interconnected through a bus system and / or other forms of connection mechanisms (not shown).

[0121] In addition, the input device 330 may further include, for example, a keyboard, a mouse, an interface, etc. The output device 340 may output various information to the outside, including analysis results, etc. The output device 340 may include, for example, a display, a speaker, a printer, and a communication network and its connected remote output devices, etc.

[0122] Of course, for the sake of simplicity, Figure 3 only some of the components related to the present application in the electronic device are shown, and components such as buses, input / output interfaces, etc. are omitted. In addition, according to specific application scenarios, the electronic device may further include any other appropriate components.

[0123] Exemplary computer program product and computer-readable storage medium

[0124] In addition to the above methods and devices, embodiments of the present application may also be computer program products, which include computer program instructions that, when run by a processor, cause the processor to execute the steps in the load-based user-side capacity electricity cost sharing method according to various embodiments of the present application described in the "Exemplary Methods" section of this specification.

[0125] The computer program product may be written in any combination of one or more programming languages for executing the program code of the operations of the embodiments of the present application. The programming languages include object-oriented programming languages such as Java, C++, etc., and also include conventional procedural programming languages such as the "C" language or similar programming languages. The program code may be executed entirely on the user computing device, partially on the user device, executed as a stand-alone software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server.

[0126] In addition, an embodiment of the present application may also be a computer-readable storage medium storing computer program instructions, which when run by a processor cause the processor to execute the steps in the load-based user-side capacity electricity charge sharing method according to various embodiments of the present application described in the above "Exemplary Method" section of this specification.

[0127] The computer-readable storage medium may employ any combination of one or more readable media. The readable media may be a readable signal medium or a readable storage medium. The readable storage medium may, for example, include but is not limited to an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above. More specific examples (non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0128] The foregoing description has been presented for purposes of illustration and description. Furthermore, this description is not intended to limit the embodiments of the present application to the form disclosed herein. Although several example aspects and embodiments have been discussed above, those skilled in the art will recognize certain variations, modifications, alterations, additions, and sub-combinations thereof.

Claims

1. A method for allocating capacity electricity charges on the user side based on load, characterized in that Including: Obtain the load data within the capacity electricity charge settlement period; Determine multiple peak periods within the capacity electricity charge settlement period; For each peak period, in accordance with the principle that the greater the total load in the peak period, the greater the weight, perform weighted processing on the electricity consumption data in this peak time period to obtain weighted electricity consumption data; For each user, based on the weighted electricity consumption data, calculate the sum of the electricity consumption of this user in the peak periods within the capacity electricity charge settlement period to obtain the weighted electricity consumption; Based on the weighted electricity consumption of each user, allocate the capacity electricity charge on the user side.

2. The method for sharing capacity electricity charges on the user side based on load according to claim 1, wherein Also including: Determine the total load of each peak period; Perform normalization processing on the total load of each peak period to obtain the weighted value corresponding to each peak period.

3. The method for allocating the capacity electricity charge on the user side based on the load according to claim 1, wherein Also including: Perform normalization processing on the total load of each peak period, and the formula is as follows; w = m / M; Where, w is the weighted value; m is the load of this peak period; M is the total load of each peak period.

4. The method for sharing capacity electricity charges on the user side based on load according to claim 1, wherein For each peak period, in accordance with the principle that the greater the total load in the peak period, the greater the weight, perform weighted processing on the electricity consumption data in this peak time period to obtain weighted electricity consumption data, including: Take the product of the electricity consumption of each user in the peak period and the weighted value corresponding to this peak period as the weighted electricity consumption of the user in this peak period.

5. The method for allocating the capacity electricity charge on the user side based on the load according to claim 1, characterized in that, Based on the weighted electricity consumption of each user, allocate the capacity electricity charge on the user side, including: Perform normalization processing on the weighted electricity consumption of each user; Calculate the product of the weighted electricity consumption after normalization processing and the capacity electricity charge on the user side as the allocated electricity charge of this user.

6. The load-based user-side capacity electricity charge sharing method according to claim 5, wherein The formula for performing normalization processing on the weighted electricity consumption of each user is as follows: r = q / Q; Where, r is the weighted electricity consumption after normalization processing; q is the weighted electricity consumption of this user; Q is the sum of the weighted electricity consumption of all users.

7. A load-based user-side capacity electricity charge sharing device, characterized in that Including: An acquisition module, used to obtain the load data within the capacity electricity charge settlement period; A determination module, used to determine multiple peak periods within the capacity electricity charge settlement period; A weighting module, used for each peak period, in accordance with the principle that the greater the total load in the peak period, the greater the weight, perform weighted processing on the electricity consumption data in this peak time period to obtain weighted electricity consumption data; for each user, based on the weighted electricity consumption data, calculate the sum of the electricity consumption of this user in the peak periods within the capacity electricity charge settlement period to obtain the weighted electricity consumption; An allocation module, used to allocate the capacity electricity charge on the user side based on the weighted electricity consumption of each user.

8. An electronic device, characterized in that, Including: A processor, and a memory for storing the executable program of the processor; The processor is used to realize the method for allocating the capacity electricity charge on the user side based on the load as described in any one of claims 1 to 6 by running the program in the memory.

9. A computer-readable storage medium, characterized in that, A computer program is stored on the computer-readable storage medium, and when the computer program is run by the processor, the processor is caused to execute the method for allocating the capacity electricity charge on the user side based on the load as described in any one of claims 1 to 6.

10. A computer program product includes a computer program which, when executed by a processor, implements the load-based user-side capacity electricity cost sharing method according to any one of claims 1 to 6.

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