User green electricity distribution method based on shape coefficient

Abstract

The invention provides a user green power distribution method based on a shape coefficient, which comprises the following steps of: firstly, enabling an actual load curve of a to-be-distributed green power user to be equivalent to an equivalent load curve matched with a system green power output curve by using an equal electric quantity down-load method; evaluating the equivalent load curve and the system green power output curve from two dimensions of waveform similarity and amplitude difference, calculating comprehensive waveform similarity, and introducing a shape coefficient index according to the calculation result of the comprehensive waveform similarity and the difference between the to-be-distributed green power user load and the system green power output in each time period, so as to obtain a green power distribution result. The matching degree between the load behavior of the to-be-allocated green power user in each time period and the green power output of the system is represented, and the allocation of the shape coefficient green power of the to-be-allocated green power user is completed on this basis; the problems that in the prior art, user behavior contribution cannot be reflected, and excitation load adjustment is insufficient can be solved.

Description

Technical Field

[0001] The present invention relates to the technical field of power systems and power market design, and in particular to a method for allocating green electricity for users based on a shape coefficient. Background Art

[0002] With the accelerating development of the global low-carbon transformation of energy, green electricity, as a clean and environmentally friendly form of energy, has become an important means of carbon reduction. Green electricity consumption, as the core link driving energy transformation, its effective accounting is the key to evaluating the effectiveness of green electricity consumption. At present, the methods for sharing and accounting the responsibilities of green electricity consumption mainly focus on power flow tracing, which focuses on the flow path of electricity in the power system, that is, the amount of new energy consumed by the load is only determined by the topological structure of the power grid and the location of the node where the load is located. This method stays at the objective level and fails to reflect the contribution degree of users' subjective electricity consumption behavior to the new energy consumption of the system, making it difficult to stimulate users to adjust their own electricity consumption behavior and realize the enthusiasm of friendly interaction between the power source and the load. In addition, power flow tracing usually only evaluates a single time section and fails to fully reflect the dynamic changes of the load and green electricity characteristics during the process of green electricity consumption, ignoring the time-varying characteristics of green electricity consumption. To a certain extent, this limits the application depth of the method and the guiding role for the regulation of new energy-friendly loads. By using the comprehensive waveform similarity theory to measure the degree of load change tracking the output of green electricity and introducing it into the allocation mechanism of green electricity among users, it can be analyzed from the time dimension and reflect the friendliness of users to green electricity consumption. Summary of the Invention

[0003] The present invention proposes a method for allocating green electricity for users based on a shape coefficient, which can solve the problems in the prior art that the contribution of user behavior cannot be reflected and the incentive for load adjustment is insufficient.

[0004] The present invention adopts the following technical solutions.

[0005] A method for allocating green electricity for users based on a shape coefficient. The method first uses the equal-electricity along-load method to equivalently transform the actual load curve of the users to be allocated green electricity into an equivalent load curve that matches the system green electricity output curve. Subsequently, based on the waveform similarity theory, the equivalent load curve and the system green electricity output curve are evaluated from two dimensions of waveform similarity and amplitude difference degree, and the comprehensive waveform similarity is calculated. Then, according to the calculation result of the comprehensive waveform similarity and combining the differences between the load of the users to be allocated green electricity and the system green electricity output in each period, a shape coefficient index is introduced to characterize the matching degree between the load behavior of the users to be allocated green electricity in each period and the system green electricity output. On this basis, the allocation of green electricity with the shape coefficient for the users to be allocated green electricity is completed.

[0006] It includes the following steps;

[0007] Step S1: Obtain the actual green power output of the power system every hour on a certain day. This output is the sum of the power generation outputs of all grid-connected renewable energy units in the power system, forming a green power output curve with a sampling interval of 1 hour. Obtain the hourly power consumption of the green power users to be allocated in the same day in this power system, forming the load curve of this user.

[0008] Step S2: Using the green power output curve of the power system as the tracking target, based on the equal-electricity following-load method, equivalently process the load curves of all green power users to be allocated in this power system to obtain their respective equivalent load curves.

[0009] Step S3: Based on the waveform similarity theory, calculate the comprehensive waveform similarity S between the green power output curve of the power system and each equivalent load curve within a day T,d ; According to the relative differences between the equivalent loads of the green power users d to be allocated in each time period and the green power output of the system, allocate the similarity weights w for each time period d,t and multiply the similarity weight w d,t by the comprehensive waveform similarity S T,d to obtain the shape coefficient m d,t , which is used to characterize the matching degree of the load behavior of the green power users to be allocated in time period t to the green power output.

[0010] Step S4: According to the existing power flow tracking algorithm based on the downstream allocation matrix, allocate a preset proportion of the total system green power to the green power users to be allocated, and use the remaining total system green power as the initial value for allocating green power by the shape coefficient.

[0011] Step S5: According to the proportion of the shape coefficient of each green power user to be allocated in the sum of the shape coefficients of all green power users to be allocated, allocate the initial green power of the shape coefficient to each green power user to be allocated, and complete the allocation of the green power of the shape coefficient at the level of the green power users to be allocated.

[0012] The specific content of Step S2 is as follows: Calculate and obtain the equal-electricity following-load equivalent load curve of the green power user d to be allocated. According to the green power plant output and the load power of the green power user to be allocated within a day, calculate by the equal-electricity following-load method, then there is:

[0013]

[0014] Among them, P L,d (t) is the actual load of the green power user d to be allocated in time period t; P renew (t) is the system green power output in time period t; P * L,d (t) is the equivalent load of the green power user d to be allocated in time period t; T is the set time window length for equal-electricity following-load equivalence.

[0015] In step S2, the default value of the time window length is one day, i.e., 24 hours.

[0016] The specific steps of step S3 are as follows:

[0017] Step S31: Calculate the waveform similarity coefficient S between the equivalent load curve of the green power user d to be allocated and the system green power output curve bx,d ;

[0018] Step S32: Calculate the amplitude difference coefficient S between the equivalent load curve of the green power user d to be allocated and the system green power output curve fz,d ;

[0019] Step S33: Subtract the waveform similarity S bx,d and the amplitude difference S fz,d to obtain the comprehensive waveform similarity value between the equivalent load curve of the green power user d to be allocated and the system green power output curve:

[0020] S T,d = S bx,d - S fz,d

[0021] S T,d The larger S

[0022] is, the closer the load characteristics of the green power user to be allocated are to the system green power output characteristics; T,d Step S34: Calculate the similarity weights for each time period according to the relative differences between the equivalent load of the green power user d to be allocated and the system green power output in each time period, and accordingly allocate the comprehensive waveform similarity S

[0023] to each time period to obtain the shape coefficient. bx,d The specific content of step S31 is as follows: Use the cosine angle algorithm to calculate the waveform similarity coefficient S

[0024]

[0025] where P L,d (t) is the actual load of the green power user d to be allocated at time period t; P * L,d (t) is the equivalent load of the green power user d to be allocated at time period t; T is the set time window length for equivalent load equalization by equal power;

[0026] S bx,d ∈[0,1], and the larger S bx,d is, the smaller the difference in the fluctuation change rate between the load curve of the green power user to be allocated and the system green power output curve within this time period set.

[0027] The specific content of step S32 is as follows: Considering that the Jensen-Shannon divergence, i.e., JS divergence, can effectively measure the difference between two probability distributions, this method is used to evaluate the difference in their amplitude changes:

[0028]

[0029] where T is the set time window length of the equivalent load with equal power; P L,d is the load sequence of the green power user d to be allocated, including the load of the green power user d to be allocated within the time period set; P * L,d is the equivalent load sequence of the green power user d to be allocated, including the equivalent load of the green power user d to be allocated within the time period set; P L,d (t) is the actual load of the green power user d to be allocated at time t; P * L,d (t) is the equivalent load of the green power user d to be allocated at time t; D1(P L,d , M L,d ) is the relative entropy of sequence P L,d compared with sequence M L,d . Let D2(M L,d , P L,d ) be the relative entropy of sequence M L,d compared with sequence P L,d , then the amplitude difference coefficient S fz,d :

[0030]

[0031] where S fz,d ∈[0,1], and the smaller S fz,d , the smaller the fluctuation amplitude difference between the load and the equivalent load of the green power user d to be allocated within this time period set.

[0032] The specific content of step S34 is as follows: Allocate the similarity weight w d,t for each time period according to the relative difference between the equivalent load of the green power user d to be allocated and the system green power output at each time period:

[0033]

[0034]

[0035] where P * L,d (t) is the equivalent load of the green power user d to be allocated at time t; P renew (t) is the system green power output at time t; D d,tis the relative difference between the equivalent load of the green power user d to be allocated in time period t and the green power output of the system; T is the set time window length for the equivalent load in the same power consumption sequence;

[0036] Allocate the comprehensive waveform similarity S T,d to each time period to obtain the shape coefficient m d,t : The formula is:

[0037] m d,t = w d,t S T,d .

[0038] In step S4, 50% of the total system green power is allocated to the green power users to be allocated, and the remaining 50% of the total system green power is used as the initial value for allocating green power by the shape coefficient

[0039] The specific content of the said step S5 is: The green power quantity P obtained by the green power user d to be allocated within the time period T by the shape coefficient d,x :

[0040]

[0041] Among them, P d,t,x is the green power quantity obtained by the green power user d to be allocated in the t time period by the shape coefficient; m d,t is the shape coefficient of the green power user d to be allocated in the time period t; D is the total number of green power users to be allocated in the system; P renew (t) is the green power output of the system in the time period t, and Δt is the time interval of the time period t, with the unit of hour h.

[0042] The present invention proposes a method for allocating green power to green power users to be allocated based on the shape coefficient. First, the equal-power consumption sequence method is used to equivalently transform the actual load curve of the green power users to be allocated into an equivalent load curve that matches the green power output curve of the system. Subsequently, based on the waveform similarity theory, the equivalent load curve and the green power output curve of the system are evaluated from two dimensions of waveform similarity and amplitude difference degree, and the comprehensive waveform similarity is calculated. According to the calculation result of the comprehensive waveform similarity, combined with the differences between the loads of the green power users to be allocated and the green power output of the system in each time period, the shape coefficient index is introduced to characterize the matching degree between the load behaviors of the green power users to be allocated and the green power output of the system in each time period. On this basis, the allocation of the green power quantity by the shape coefficient of the green power users to be allocated is completed. The present invention solves the problems in the prior art that the user behavior contribution cannot be reflected and the incentive for load adjustment is insufficient.

[0043] Compared with the prior art, the present invention has the following beneficial effects:

[0044] 1. By introducing the shape coefficient index, the present invention takes into account the contribution of user load behavior to the consumption of green electricity, rather than relying solely on the power grid topology and node positions, filling the gap in the prior art where the contribution of user subjective behavior cannot be reflected.

[0045] 2. During the process of green electricity allocation, the method of the present invention distributes the initial green electricity of the shape coefficient according to the ratio of the shape coefficients of the green electricity users to be allocated, establishing the association between the behavior of the green electricity users to be allocated and the green electricity allocation result, enhancing the motivation of users to adjust the load curve and actively participate in the source-load interaction, and promoting the collaborative optimization of the source and load. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] The present invention will be further described in detail below with reference to the drawings and specific embodiments:

[0047] FIG Figure 1 is a schematic flow chart of the method according to an embodiment of the present invention;

[0048] FIG Figure 2 is a schematic diagram of the system green electricity output curve according to an embodiment of the present invention;

[0049] FIG Figure 3 is a schematic diagram of the load adjustment curve of the green electricity user L2 to be allocated according to an embodiment of the present invention;

[0050] FIG Figure 4 is a schematic bar chart of the partial green electricity of the shape coefficient before and after the load adjustment of the green electricity user L2 to be allocated according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0051] The present invention will be further described below with reference to the drawings and embodiments.

[0052] It should be noted that the following detailed description is illustrative and is intended to provide further explanation of the present application. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the technical field to which the present application belongs.

[0053] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit the exemplary embodiments according to the present application. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprise" and / or "include" are used in this specification, they indicate the presence of features, steps, operations, devices, components, and / or combinations thereof.

[0054] As shown in the figure, a method for allocating green electricity to users based on the shape coefficient. First, the equal - electricity - following - load method is used to equivalently transform the actual load curve of the green - electricity - to - be - allocated users into an equivalent load curve that matches the system's green - electricity output curve. Subsequently, based on the waveform similarity theory, the equivalent load curve and the system's green - electricity output curve are evaluated from two dimensions: waveform similarity and amplitude difference degree, and the comprehensive waveform similarity is calculated. Then, according to the calculation result of the comprehensive waveform similarity, combined with the differences between the load of the green - electricity - to - be - allocated users and the system's green - electricity output in each period, the shape coefficient index is introduced to characterize the matching degree between the load behavior of the green - electricity - to - be - allocated users in each period and the system's green - electricity output. On this basis, the allocation of the green - electricity quantity of the shape coefficient for the green - electricity - to - be - allocated users is completed.

[0055] It includes the following steps;

[0056] Step S1: Obtain the actual hourly green - electricity output of the power system on a certain day. This output is the sum of the power generation outputs of all grid - connected renewable energy units in the power system, forming a green - electricity output curve with a sampling interval of 1 hour. Obtain the hourly electricity consumption power of the green - electricity - to - be - allocated users in the same day of this power system, forming the load curve of this user;

[0057] Step S2: Using the power system's green - electricity output curve as the tracking target, based on the equal - electricity - following - load method, equivalently process the load curves of all green - electricity - to - be - allocated users in this power system to obtain their respective equivalent load curves;

[0058] Step S3: Based on the waveform similarity theory, calculate the comprehensive waveform similarity S of the power system's green - electricity output curve and each equivalent load curve within a day T,d ; According to the relative differences between the equivalent load and the system's green - electricity output of the green - electricity - to - be - allocated user d in each period, allocate the similarity weight w of each period d,t , and multiply the similarity weight w d,t by the comprehensive waveform similarity S T,d to obtain the shape coefficient m d,t , which is used to characterize the matching degree of the load behavior of the green - electricity - to - be - allocated user to the green - electricity output in period t;

[0059] Step S4: According to the existing power - flow tracking algorithm based on the downstream - flow distribution matrix, allocate a preset proportion of the total system green - electricity quantity to the green - electricity - to - be - allocated users, and use the remaining total system green - electricity quantity as the initial value of the green - electricity allocated by the shape coefficient;

[0060] Step S5: According to the proportion of the shape coefficient of each green - electricity - to - be - allocated user in the sum of the shape coefficients of all green - electricity - to - be - allocated users, allocate the initial green - electricity quantity of the shape coefficient to each green - electricity - to - be - allocated user, and complete the allocation of the green - electricity quantity of the shape coefficient at the level of the green - electricity - to - be - allocated users.

[0061] The specific content of step S2 is as follows: Calculate and obtain the equivalent load curve of the green power user d to be allocated according to the load power of the green power station output and the green power user to be allocated within one day by the equal - electricity - following - load method. Then, we have:

[0062]

[0063] Among them, P L,d (t) is the actual load of the green power user d to be allocated at time t; P renew (t) is the system green power output at time t; P * L,d (t) is the equivalent load of the green power user d to be allocated at time t; T is the set time - window length for equal - electricity - following - load equivalence.

[0064] In step S2, the default value of the time - window length is one day, that is, 24 hours.

[0065] The specific steps of step S3 include the following steps:

[0066] Step S31: Calculate the waveform similarity coefficient S bx,d ;

[0067] Step S32: Calculate the amplitude difference coefficient S fz,d ;

[0068] Step S33: Subtract the amplitude difference S bx,d from the waveform similarity S fz,d to obtain the comprehensive waveform similarity value between the equivalent load curve of the green power user d to be allocated and the system green power output curve:

[0069] S T,d =S bx,d -S fz,d

[0070] S T,d The larger S

[0071] is, the closer the load characteristics of the green power user to be allocated are to the system green power output characteristics; Step S34: Calculate the similarity weight for each time period according to the relative difference between the equivalent load and the system green power output of the green power user d to be allocated in each time period, and accordingly allocate the comprehensive waveform similarity S T,d

[0072] The specific content of step S31 is as follows: Use the cosine - angle algorithm to calculate the waveform similarity coefficient S bx,d between the equivalent load curve and the system green power output curve: The formula is:

[0073]

[0074] Among them, P L,d (t) is the actual load of the green power user d to be allocated at time t; P * L,d (t) is the equivalent load of the green power user d to be allocated at time t; T is the length of the time window for setting the equivalent load in the order of equal electricity.

[0075] S bx,d ∈[0,1], and the larger S bx,d is, the smaller the difference in the fluctuation change rate between the load curve of the green power user d to be allocated in this time period set and the green power output curve of the system.

[0076] The specific content of step S32 is as follows: Considering that the Jensen-Shannon divergence, that is, the JS divergence, can effectively measure the difference between two probability distributions, this method is used to evaluate the difference in their amplitude changes:

[0077]

[0078] Among them, T is the length of the time window for setting the equivalent load in the order of equal electricity; P L,d is the load sequence of the green power user d to be allocated, including the load of the green power user d to be allocated in the time period set; P * L,d is the equivalent load sequence of the green power user d to be allocated, including the equivalent load of the green power user d to be allocated in the time period set; P L,d (t) is the actual load of the green power user d to be allocated at time t; P * L,d (t) is the equivalent load of the green power user d to be allocated at time t; D1(P L,d , M L,d ) is the relative entropy of sequence P L,d compared with sequence M L,d . Let D2(M L,d , P L,d ) be the relative entropy of sequence M L,d compared with sequence P L,d , then the amplitude difference coefficient S fz,d is:

[0079]

[0080] Among them, S fz,d ∈[0,1], and the smaller S fz,d is, the smaller the difference in the fluctuation amplitude between the load and the equivalent load of the green power user d to be allocated in this time period set.

[0081] The specific content of step S34 is as follows: allocate the similarity weight w for each time period according to the relative difference between the equivalent load of the green power user d to be allocated and the green power output of the system in each time period d,t :

[0082]

[0083] Among them, P * L,d (t) is the equivalent load of the green power user d to be allocated in time period t; P renew (t) is the green power output of the system in time period t; D d,t is the relative difference between the equivalent load of the green power user d to be allocated and the green power output of the system in time period t; T is the set time window length for equivalent load following equal electricity

[0084] Allocate the comprehensive waveform similarity S T,d to each time period to obtain the shape factor m d,t : The formula is:

[0085] m d,t = w d,t S T,d 。

[0086] In step S4, allocate 50% of the total system green power to the green power user to be allocated, and use the remaining 50% of the total system green power as the initial value for allocating green power by the shape factor

[0087] The specific content of step S5 is as follows: The shape factor green power P obtained by the green power user d to be allocated within the time period T d,x :

[0088]

[0089] Among them, P d,t,x is the shape factor green power obtained by the green power user d to be allocated in time period t; m d,t is the shape factor of the green power user d to be allocated in time period t; D is the total number of green power users to be allocated in the system; P renew (t) is the green power output of the system in time period t, and Δt is the time interval of time period t, with the unit of hour h

[0090] Example:

[0091] In this example, a power system with 21 green power users to be allocated, and the power generation side includes 7 coal-fired power plants, 2 wind farms and 1 photovoltaic power station. The total system green power output curve is as Figure 1 shown, and the time scale period T = 24 hours

[0092] The calculation method of the allocation mechanism proposed in this example is the same in each time period. Therefore, the data of a certain time period (time period 1) is selected for analysis. Using the method of this embodiment, the shape factor values of each green power user to be allocated in time period 1 are calculated as Figure 1 shown.

[0093] Table 1 Shape factors of each green power user to be allocated in time period 1

[0094]

[0095] It can be seen from Figure 2 that the green power output of the system in time period 1 is 243.5 MW, and the initial green power quantity of the shape factor is 121.75 MWh. Using the method of this embodiment, the green power quantities of the shape factors of each green power user to be allocated in time period 1 are calculated as Figure 2 shown. Combining Table 1 and Table 2, it can be seen that the green power users to be allocated with higher shape factors will receive greater weight inclination in the process of green power resource allocation.

[0096] Table 2 Shape factors of each green power user to be allocated in time period 1

[0097]

[0098]

[0099] By adjusting the load curve of the green power users to be allocated and improving the matching with the green power output, a positive impact on the shape factor can be generated in the global waveform similarity calculation, and thus it is expected to obtain a larger share in the green power allocation. Set user L2 to optimize and adjust its own load curve while keeping the total electricity consumption unchanged. The adjusted load curve is as Figure 3 shown. The comprehensive waveform similarity of user L2 is increased from the original 0.885 to 0.994. Specifically, during the peak period of green power output (time period 9 to time period 16), the load of user L2 is increased significantly, and the increase ratio reaches 45.14%; at the same time, the load during the non-peak period is reduced accordingly to achieve the balance of the total electricity consumption. The green power quantity allocated to user L2 in the shape factor part after adjustment is as Figure 4 shown. The results show that by optimizing the load curve, the green power quantity of the shape factor of user L2 is increased from 121.28 MWh before adjustment to 195.23 MWh, which fully reflects the positive effect of load adjustment on green power allocation.

[0100] Preferably, according to the matching degree between the user load behavior and the system's green power output, this embodiment proposes a method for allocating green power to users based on the shape coefficient. This method introduces the shape coefficient to quantify the matching degree between the user load behavior and the system's green power output at each time period, and further allocates the initial green power amount according to the shape coefficient among the users to whom the green power is to be allocated. This method not only reflects the user load behavior and adjustment willingness, but also can effectively mobilize users to optimize their own load characteristics, making the electricity consumption behavior more in line with the power supply characteristics of the system's green power, so as to achieve a better green power allocation effect.

[0101] The above are only the preferred embodiments of the present invention, and all equivalent changes and modifications made according to the scope of the patent application of the present invention shall fall within the scope of the present invention.

Claims

1. A method for allocating green electricity to users based on a shape coefficient, characterized in that: The method first uses the equal - electricity - following - load method to equivalent the actual load curve of the green - electricity users to be allocated into an equivalent load curve that matches the system's green - electricity output curve. Subsequently, based on the waveform similarity theory, the equivalent load curve and the system's green - electricity output curve are evaluated from two dimensions: waveform similarity and amplitude difference, and the comprehensive waveform similarity is calculated. Then, according to the calculation result of the comprehensive waveform similarity, combined with the differences between the loads of the green - electricity users to be allocated and the system's green - electricity output in each period, the shape - coefficient index is introduced to characterize the matching degree between the load behaviors of the green - electricity users to be allocated in each period and the system's green - electricity output. On this basis, the allocation of the green - electricity quantity of the shape - coefficient of the green - electricity users to be allocated is completed.

2. The user green electricity allocation method based on the shape coefficient according to claim 1 is characterized in that: It includes the following steps; Step S1: Obtain the actual hourly green - electricity output of a power system on a certain day. This output is the sum of the power generation outputs of all grid - connected renewable - energy units in the power system, forming a green - electricity output curve with a sampling interval of 1 hour. Obtain the hourly electricity consumption power of the green - electricity users to be allocated in the same power system on the same day, forming the load curve of this user; Step S2: Taking the green - electricity output curve of the power system as the tracking target, based on the equal - electricity - following - load method, the load curves of all green - electricity users to be allocated in the power system are equivalently processed to obtain their respective equivalent load curves; Step S3: Based on the waveform similarity theory, calculate the comprehensive waveform similarity S between the green power output curve of the power system and each equivalent load curve within one day T,d ; According to the relative differences between the equivalent loads of the green power users d to be allocated and the green power output of the system at each time period, allocate the similarity weights w for each time period d,t , and multiply the similarity weight w d,t by the comprehensive waveform similarity S T,d to obtain the shape coefficient m d,t , which is used to characterize the matching degree of the load behavior of the green power users to be allocated at time period t to the green power output Step S4: According to the existing power - flow tracking algorithm based on the downstream - distribution matrix, allocate a preset proportion of the total system green - electricity quantity to the green - electricity users to be allocated, and use the remaining total system green - electricity quantity as the initial value of the green - electricity allocated by the shape - coefficient; Step S5: According to the proportion of the shape - coefficient of each green - electricity user to be allocated in the sum of the shape - coefficients of all green - electricity users to be allocated, allocate the initial green - electricity quantity of the shape - coefficient to each green - electricity user to be allocated, and complete the allocation of the green - electricity quantity of the shape - coefficient at the level of the green - electricity users to be allocated.

3. The user green electricity allocation method based on the shape coefficient according to claim 2, wherein: The specific content of step S2 is as follows: Calculate and obtain the equal - electricity - following - load equivalent load curve of the green - electricity user d to be allocated. According to the output of the green - electricity station and the load power of the green - electricity user to be allocated within a day, calculate by the equal - electricity - following - load method, then there is: Among them, P L,d (t) is the actual load of the green power user d to be allocated at time t; P renew (t) is the system green power output at time t; P * L,d (t) is the equivalent load of the green power user d to be allocated at time t; T is the set time window length for equivalent load following equal electricity quantity.

4. A method for allocating green electricity to users based on a shape coefficient according to claim 3, characterized in that: In step S2, the default value of the time - window length is one day, that is, 24 hours.

5. The user green electricity allocation method based on the shape coefficient according to claim 2, characterized in that: The specific content of step S3 includes the following steps: Step S31: Calculate the waveform similarity coefficient S between the equivalent load curve of the green power user d to be allocated and the green power output curve of the system bx,d ; Step S32: Calculate the amplitude difference coefficient S between the equivalent load curve of the green power user d to be allocated and the system green power output curve fz,d ; Step S33: Subtract the waveform similarity S bx,d from the amplitude difference degree S fz,d to obtain the comprehensive waveform similarity value between the equivalent load curve of the green power user d to be allocated and the system green power output curve: S T,d = S bx,d - S fz,d S T,d The larger it is, the closer the load characteristics of the green power users to be allocated are to the green power output characteristics of the system; Step S34: Calculate the similarity weights for each time period based on the relative differences between the equivalent loads of the green power users d to be allocated and the green power output of the system in each time period, and accordingly allocate the comprehensive waveform similarity S T,d to each time period to obtain the shape factor.

6. A method for allocating green electricity to users based on the shape factor according to claim 5, characterized in that: The specific content of the step S31 is as follows: Using the cosine of the angle algorithm, calculate the waveform similarity coefficient S between the equivalent load curve and the system green power output curve bx,d : The formula is as follows: Among them, P L,d (t) is the actual load of the green power user d to be allocated at time t; P * L,d (t) is the equivalent load of the green power user d to be allocated at time t; T is the time window length set for the equivalent load following the equal electricity S bx,d ∈ [0, 1], and S bx,d The larger it is, the smaller the difference in the fluctuation change rate between the load curve of the green power users to be allocated within the time period set and the green power output curve of the system.

7. A method for allocating green electricity to users based on a shape factor according to claim 5, characterized in that: The specific content of step S32 is as follows: Considering that the Jensen - Shannon divergence, that is, the JS divergence, can effectively measure the difference between two probability distributions, this method is used to evaluate the difference in their amplitude changes: where T is the length of the time window equivalent to the same amount of electricity in the forward load; P L,d is the load sequence of the green power user d to be allocated, including the load of the green power user d to be allocated within the time period set; P * L,d is the equivalent load sequence of the green power user d to be allocated, including the equivalent load of the green power user d to be allocated within the time period set; P L,d (t) is the actual load of the green power user d to be allocated at time t; P * L,d (t) is the equivalent load of the green power user d to be allocated at time t; D1(P L,d , M L,d ) is the relative entropy of the sequence P L,d compared with the sequence M L,d . Let D2(M L,d , P L,d ) be the relative entropy of the sequence M L,d compared with the sequence P L,d , then the amplitude difference coefficient S fz,d : Among them, S fz,d ∈[0, 1], and the smaller S fz,d is, the smaller the difference in the fluctuation amplitudes between the load and the equivalent load of the green electricity users d to be allocated within this time period set is.

8. A method for allocating green electricity to users based on a shape coefficient according to claim 5, characterized in that: The specific content of step S34 is as follows: allocate the similarity weight w for each time period according to the relative difference between the equivalent load of the green power user d to be allocated and the green power output of the system in each time period d,t : Among them, P * L,d (t) is the equivalent load of the green power user d to be allocated at time t; P renew (t) is the system green power output at time t; D d,t is the relative difference between the equivalent load of the green power user d to be allocated at time t and the system green power output; T is the set time window length for equivalent load following with equal electricity Assign the comprehensive waveform similarity S T,d to each time period to obtain the shape coefficient m d,t : The formula is: m d,t = w d,t S T,d .

9. The user green electricity distribution method based on the shape coefficient according to claim 2, characterized in that: In step S4, 50% of the total system green - electricity quantity is allocated to the green - electricity users to be allocated, and the remaining 50% of the total system green - electricity quantity is used as the initial value of the green - electricity allocated by the shape - coefficient.

10. A method for allocating user green electricity based on the shape factor according to claim 2, characterized in that: The specific content of the step S5 is as follows: the shape factor green power quantity P obtained by the green power user d to be allocated within the time period T d,x : Among them, P d,t,x is the green electricity quantity with a shape coefficient obtained by the green electricity user d to be allocated in the t period; m d,t is the shape coefficient of the green electricity user d to be allocated in the period t; D is the total number of green electricity users to be allocated in the system; P renew (t) is the system green electricity output in the period t, and Δt is the time interval of the period t, with the unit of hour h.

Images