Assessment and allocation method and system for user-side renewable energy consumption responsibility weight

Abstract

The present invention discloses an assessment and allocation method and system for the user-side renewable energy consumption responsibility weight, which belongs to the field of power market transaction settlement; including: collecting the declared quantity and price combination data participating in the centralized clearing of the power market; taking the minimization of the total cost declared on the power generation side as the optimization goal, constructing a power market clearing model, and clearing the market bidding results; based on the clearing results, obtaining the unique contribution of each user-side market subject in the renewable energy power consumption; based on the completion of the renewable energy power consumption responsibility weight of the system as a whole, according to the unique contribution, the renewable energy power consumption of the user-side market is corrected; based on the correction results and completion, the assessment of the renewable energy power consumption responsibility weight that each user-side market subject should bear is redistributed to encourage users to change their electricity consumption behavior. The present invention encourages users to change their electricity consumption behavior and promotes the power grid to achieve more renewable energy consumption.

Description

Technical Field

[0001] The present invention relates to the field of electricity market transaction settlement, and in particular to a method and system for assessing and allocating responsibility weights for consuming renewable energy on the user side. Background Art

[0002] Under the current market model of centralized clearing of the power market, power users or power sales companies can only obtain the total amount of their own transaction electricity, and cannot distinguish the composition of renewable energy electricity and non-renewable energy electricity. Therefore, it is impossible to calculate the actual contribution of power users. The responsibility weight of renewable energy power cannot be evaluated, making the policy invalid. Therefore, the present invention proposes a user-side renewable energy power responsibility weight assessment method to solve the problem that the market entity's renewable energy power consumption cannot be identified under the centralized clearing mode of the power market. Summary of the invention

[0003] In order to solve the above problems, the purpose of the present invention is to provide a method for assessing and allocating the responsibility weights of renewable energy consumption on the user side, which is intended to identify the amount of renewable energy consumption in the user-side electricity consumption, and provide an accurate calculation basis for the implementation and accounting of the renewable energy power consumption guarantee mechanism, so as to encourage users to change their electricity consumption behavior and promote the power grid to achieve more renewable energy consumption.

[0004] In order to achieve the above technical objectives, this application provides a method for assessing and allocating the responsibility weight of renewable energy consumption on the user side, including the following steps:

[0005] Collect data on the types and number of market players participating in the centralized clearing of the electricity market, and the quantity and price combinations reported by market players in the electricity market bidding;

[0006] Based on the declared quantity and price combination data, with the minimization of the total declared cost on the power generation side as the optimization goal, a power market clearing model is constructed to clear the market bidding results;

[0007] Based on the clearing results, obtain the unique contribution of each user-side market entity in the consumption of renewable energy power;

[0008] Based on the completion of the overall renewable energy power consumption responsibility weight of the system, the renewable energy power consumption in the user-side market is corrected according to the unique contribution;

[0009] Based on the correction results and completion status, the assessment of the renewable energy power consumption responsibility weight that each user-side market entity should bear is redistributed to incentivize users to change their electricity consumption behavior.

[0010] Preferably, in the process of constructing the electricity market clearing model, the objective function of the electricity market clearing model is expressed as:

[0011]

[0012] In the formula, , S i,t 、u i,t is the decision variable, among which, is the winning bid power of thermal power unit i in the mth bidding interval at time t, u i,t is the start / stop status of thermal power unit i at time t, S i,t is the startup cost of thermal power unit i at time t, I represents the set of units i, T represents the set at time t, M represents the number of stages m, and p i,t,m It is the declared price for the corresponding output range of thermal power units.

[0013] Preferably, in the process of constructing the electricity market clearing model, the constraints of the electricity market clearing model are expressed as:

[0014]

[0015] In the formula, is the output of thermal power unit i at time t; The declared power of thermal power unit i in the mth output interval at time t; represents the output of renewable energy i at time t, D t represents the predicted load demand at time t, expressed as the sum of all power users’ loads, J represents the set of electricity users, The lower and upper limits of the output of thermal power unit i at time t, u i,t is the start / stop state variable of thermal power unit i at time t, which is a binary variable; represents the predicted output value of renewable energy power at time t, are the up-climbing capability and down-climbing capability of unit i respectively; C i represents the startup cost of thermal power unit i. This constraint means that only u i,t =1 and u i,t-1 = 0, there is a startup cost C for unit i i , S in other combinations i,t The value is 0.

[0016] Preferably, in the process of obtaining the unique contribution, the transaction amount of renewable energy power considering all load conditions on the user side is obtained according to the clearing result;

[0017] Based on the user-side market entities of the entire system, after removing the declared quantity and price data of the first user-side market entity, the model is rebuilt through the construction method of the power market clearing model, and the total transaction volume of renewable energy power is obtained by clearing;

[0018] The difference between the renewable energy power transaction volume and the total renewable energy power transaction volume is taken as the unique contribution of the first market entity to renewable energy power consumption, and the unique contributions of other market entities are obtained in sequence based on the process of obtaining the unique contribution of the first market entity.

[0019] Preferably, in the process of obtaining the unique contribution, the unique contribution is expressed as:

[0020]

[0021] In the formula, Represents the renewable energy power output value, It represents the total amount of renewable energy power traded when power user j does not participate in this market clearing.

[0022] Preferably, in the process of obtaining the completion status, based on the prescribed renewable energy consumption responsibility weight ratio α (0<α<1), the completion status Z of the renewable energy consumption responsibility weight is obtained, and Z is expressed as:

[0023]

[0024] Preferably, in the process of correcting the renewable energy power consumption, the renewable energy power consumption is expressed as:

[0025]

[0026] In the formula, F K，j It represents the assessment base electricity of power user j under the new allocation mode, as the renewable energy power consumption.

[0027] Preferably, in the process of performing assessment and redistribution, the process of redistribution represents:

[0028]

[0029] Preferably, in the process of assessment and redistribution, the base amount of electricity F of each power user is assessed. K,j It is allocated based on the proportion of the total electricity consumption assessed by all electricity users.

[0030] The present invention discloses an assessment allocation system for user-side renewable energy consumption responsibility weights, which is used to implement an assessment allocation method, including:

[0031] The data collection module is used to collect the types of market entities participating in the centralized clearing of the power market, the number of market entities, and the quantity and price combination data declared by the market entities in the power market bidding;

[0032] The model building module is used to build a power market clearing model based on the declared quantity and price combination data, with the minimization of the total cost declared by the power generation side as the optimization goal, and is used to clear the market bidding results;

[0033] The contribution calculation module is used to obtain the unique contribution of each user-side market entity in the consumption of renewable energy power based on the clearing results;

[0034] A correction module is used to correct the renewable energy power consumption in the user side market according to the unique contribution amount based on the completion of the renewable energy power consumption responsibility weight of the system as a whole;

[0035] The allocation module is used to redistribute the assessment of the renewable energy power consumption responsibility weight that each user-side market entity should bear based on the correction results and completion status, in order to encourage users to change their electricity consumption behavior.

[0036] The present invention discloses the following technical effects:

[0037] (1) The present invention proposes a method for identifying the contribution of user-side renewable energy consumption, which can identify the irreplaceable amount of users in renewable energy consumption. Compared with the method of allocating the amount according to the proportion of electricity consumption, this method can better reflect the differences in users' contributions to renewable energy consumption, especially in periods when the power system's regulation capacity is insufficient and wind power consumption is difficult.

[0038] (2) The renewable energy consumption responsibility weight allocation mechanism constructed by the present invention can reflect the effect that the greater the contribution of renewable energy, the greater the benefit in the assessment, which can encourage market entities on the user side to change their electricity consumption behavior and promote the overall renewable energy consumption of the power grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0040] Figure 1 It is a schematic diagram of the method flow of the present invention;

[0041] Figure 2 is the renewable energy output curve of the present invention;

[0042] Figure 3 It is the unique contribution of the electricity user to the consumption of renewable energy as described in the present invention. DETAILED DESCRIPTION

[0043] To make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the technical scheme in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application generally described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.

[0044] like Figure 1-2 As shown, the present invention provides a method for assessing and allocating the responsibility weights of renewable energy consumption on the user side provided by the present invention, which is implemented according to the following steps:

[0045] (1) In step S1, the transaction declaration data of the market entities on the power generation side and the power consumption side in the power market are collected. The power generation side includes thermal power units and renewable energy units, where the data declared by the thermal power units are as follows: the power and electricity price combination at each time and segment The startup cost S of thermal power unit i at time t i,t , the lower and upper limits of the output of thermal power unit i at time t The data reported by renewable energy units are The load demand d reported by each user at each time j,t Among them, subscript i is the number of the power generation side entity, subscript t is the bidding time, subscript m is the bidding segment number, and subscript j is the number of the user side entity.

[0046] (2) In step S2, the power market clearing model is constructed and solved to obtain the renewable energy power output value Here are the steps:

[0047] S21: Collect the transaction quantity and price combinations of the power generation side and the power consumption side in the power market, and construct the objective function of the market clearing model as follows:

[0048]

[0049] Formula (1) indicates that the optimization objective in the electricity market clearing model is to minimize the sum of the operating cost and startup cost of the unit. S i,t 、u i,t is the decision variable, among which, is the winning bid power of thermal power unit i in the mth bidding interval at time t, u i,tis the start / stop status of thermal power unit i at time t (1 means start, 0 means stop), S i,t is the startup cost of thermal power unit i at time t. I represents the set of units i, T represents the set at time t, M represents the number of stages m, and p i,t,m is the declared price of the thermal power unit corresponding to the output range,

[0050] S22: Constraints for constructing the electricity market clearing model, including the following constraints:

[0051]

[0052] In formula (2), is the output of thermal power unit i at time t; in formula (3), is the declared power of thermal power unit i in the mth output interval at time t; Formula (4) is the system load balance constraint, where Represents the output of renewable energy i at time t. D t represents the predicted load demand at time t, expressed as the sum of all power users’ loads, J represents the set of electricity users. In formula (5) The lower and upper limits of the output of thermal power unit i at time t, u i,t is the start / stop state variable of thermal power unit i at time t, which is a binary variable (0 indicates unit shutdown, 1 indicates unit startup); in formula (6), represents the predicted output value of renewable energy power at time t. Formulas (7)-(8) are the system ramp constraints, are the up-gradability and down-gradability of unit i respectively. In formula (9), C i represents the startup cost of thermal power unit i. This constraint means that only u i,t =1 and u i,t-1 = 0, there is a startup cost C for unit i i , S in other combinations i,t The value is 0;

[0053] S23: Solve the mixed integer programming problem composed of S21 and S22 using a mathematical programming solver to obtain the renewable energy power output value

[0054] (3) In step S3, the day-ahead spot market is cleared multiple times, and the unique contribution of the user's electricity consumption behavior to the consumption of renewable energy is evaluated based on the differences before and after the multiple clearings. The specific steps are as follows:

[0055] S31: The load d of the jth power user in the power demand j,tSubtract, that is, modify the formula (4) in step S22 as follows:

[0056]

[0057] S32: Reconstruct the objective function and constraints, clear the model, and obtain the new renewable energy power output value

[0058] S33: Order ΔP j It represents the change in the renewable energy output value when power user j does not participate in and participates in the current power spot market clearing, which can indicate the irreplaceability of power user j for the system's renewable energy power consumption. j If ΔP is positive, it means that due to the participation of power user j, the power consumption of renewable energy in the system increases, and the contribution value is positive. j If it is a negative number, it means that due to the participation of electricity user j, the system's renewable energy consumption is reduced and the contribution value is negative.

[0059] S34: Execute steps S31-S33 for all power users (1, 2, ..., j) in sequence to obtain the unique contribution ΔP of renewable energy consumption of each power user. j .

[0060] (4) In step S4, the correction amount of the power user's contribution to the renewable energy power consumption is calculated, which is called the power user's equivalent renewable energy consumption P K,j , the calculation formula is as follows:

[0061]

[0062] In formula (11), when ΔP j ≥0, its equivalent absorption capacity can be divided into the sum of two parts, one of which is its unique and irreplaceable unique contribution ΔP j , and the other part is the indifferent apportionment part after deducting the unique contribution of this part When ΔP j <0, its equivalent absorption capacity is equal to the sum of the apportioned part based on the electricity consumption proportion of electricity user j and the unique contribution.

[0063] (5) In step S5, according to the equivalent renewable energy consumption P obtained in step S4, K,j , the weight assessment amount of renewable energy consumption responsibility that each power user should actually bear is allocated and calculated. The calculation steps are as follows:

[0064] S51: Calculate the completion status Z of the renewable energy consumption responsibility weight according to the prescribed renewable energy consumption responsibility weight ratio α (0<α<1),

[0065] S52: Calculate the assessment base electricity F of power user j under the new allocation mode K,j

[0066]

[0067] Formula (12) indicates that if the system's renewable energy consumption fails to meet the renewable energy consumption responsibility weight requirements, it is necessary to purchase consumption or green electricity certificates to make up for it. The assessment base of each power user is equal to its electricity consumption minus the equivalent renewable energy consumption.

[0068] S53: Allocate the assessment fee to each power user according to the proportion of the power user's assessment base electricity, and the allocation method is as follows:

[0069]

[0070] Formula (13) represents the assessment base quantity F of each power user. K,j It is allocated based on the proportion of the total electricity consumption assessed by all electricity users.

[0071] Embodiment: In this embodiment, the market entities include 10 thermal power units, 4 power users, and 1 wind power plant. The time t is 24 hours, and the number of quotation segments is 10 segments.

[0072] First, the basic information for constructing the electricity market clearing model is collected, as shown in Table 1.

[0073] Table 1

[0074]

[0075] The above units are reported at marginal cost in the electricity market, and the cost of the thermal power unit is C G as follows:

[0076]

[0077] In formula (14), a, b, c are the coefficients of the cost function. G The marginal cost of thermal power units can be obtained by derivation as follows:

[0078]

[0079] The maximum output of the thermal power unit Divide into 10 equal segments, namely {[P0, P1], [P1, P2], ..., [P9, P 10 ]} then the declared quantity and price set of thermal power units can be formed, that is,

[0080] The declared data of renewable energy units (in MW) and the load data of power users (in MW) are shown in Table 2:

[0081] Table 2

[0082]

[0083]

[0084] The curve diagram of renewable energy output is as follows: Figure 2 As shown in the figure, the output is larger during the period of load underestimation, and the system is not conducive to absorbing this part of renewable energy during this period.

[0085] By applying the above parameters, the construction and solution of the power market clearing model in step S2 are completed, and the renewable energy consumption of the system at 24 moments is obtained as shown in Table 3:

[0086] Table 3

[0087]

[0088]

[0089] Further executing step S3, the loads of each power user are removed and then cleared again, and a new renewable energy consumption capacity is obtained as shown in Table 4:

[0090] Table 4

[0091]

[0092]

[0093] Further, based on the data in Tables 3 and 4, the unique contribution of renewable energy consumption by power users ΔP is calculated. j , sum up the renewable energy consumption at each moment in Table 3 and subtract the values ​​in each column in Table 4 in turn, as follows Figure 3 As shown:

[0094] from Figure 3 It can be seen that all power users have positive contributions to the consumption of renewable energy after 22:00, power users 3 and 4 have positive contributions at time 1-7, while power users 1 and 2 have negative contributions at time 1-7.

[0095] By summing the values ​​at each moment, we can get the unique contribution of renewable energy consumption of each power user ΔP j as follows:

[0096] Table 5

[0097]

[0098]

[0099] The ΔP1 value of power user 1 is negative, indicating that due to the participation of power user 1 in the electricity market clearing, the overall renewable energy consumption of the system has decreased by -1582.322MW. ΔP2, ΔP3, and ΔP4 are positive numbers, indicating that due to the participation of power user 2, power user 3, and power user 4 in the electricity market clearing, the overall renewable energy consumption of the system has increased by 679.03MW, 3595.28MW, and 1881.27MW, respectively.

[0100] Furthermore, the equivalent renewable energy consumption of each power user P is calculated. K，j .

[0101] Assume that the prescribed renewable energy consumption responsibility weight ratio α is 50%.

[0102] After the electricity market is cleared, the overall electricity demand of the system is D t The total electricity consumption of the four power users is 142553MWh, and the actual consumption of renewable energy is 45970.08MWh. The completion of the renewable energy consumption responsibility weight This means that the system as a whole still has an unfinished supply of 25,306.42MWh that needs to be supplemented by purchasing consumption or green electricity integers.

[0103] According to the formula Calculate the equivalent renewable energy consumption of each power user. Since ΔP1 of power user 1 is less than 0, the calculation formula for its equivalent consumption is: If ΔP1≥0 for power users 2, 3, and 4, the calculation formula for their equivalent consumption is: The calculation results are shown in Table 6:

[0104] Table 6

[0105] 1 2 3 4 Equivalent absorption capacity 12351.86 9855.27 14075.06 12276.12

[0106] Furthermore, according to the formula Calculate the assessment base of each power user, as shown in Table 7:

[0107] Table 7

[0108] 1 2 3 4 Assessment Base 9253.06 4711.98 3971.45 4781.70

[0109] The unfinished RPS is further allocated according to the assessment base in the above table. Compared with the original allocation method based on the actual electricity consumption ratio, the comparative effect is shown in Table 8:

[0110] Table 8

[0111]

[0112] The data in Table 8 show that, compared with the method of allocating according to the proportion of electricity consumption, the method proposed in the present invention will increase the assessment allocation ratio of power user 1 and power user 2, while for power user 3 and power user 4, their assessment allocation ratio is reduced due to their unique consumption contribution during the period of low load.

[0113] Through the user-side renewable energy consumption contribution identification method proposed in the present invention, the user's unique contribution to renewable energy consumption can be identified. At the same time, based on the assessment amount redistribution method proposed in the present invention, the renewable energy consumption responsibility weight assessment cost borne by the power user can be differentiated, so as to achieve the goal of greater renewable energy consumption contribution and smaller assessment amount.

[0114] 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 flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, 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 flowchart and / or block diagram. 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.

[0115] In the description of the present invention, it should be understood that the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

[0116] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. The method for assessing and allocating the responsibility weight of renewable energy consumption on the user side is characterized by: The following steps are involved: Collect data on the types of market players participating in the centralized clearing of the electricity market, the number of market players, and the quantity and price combinations reported by market players in the electricity market bidding; Based on the declared quantity-price combination data, with the minimization of the total declared cost on the power generation side as the optimization goal, a power market clearing model is constructed to clear the market bidding results; wherein, the power output value of renewable energy is obtained by constructing the power market clearing model and solving it; Based on the clearing results, obtain the unique contribution of each user-side market entity in the consumption of renewable energy power; Based on the completion of the overall renewable energy power consumption responsibility weight of the system, the renewable energy power consumption of the user-side market entity is corrected according to the unique contribution; wherein, the correction amount of the contribution of power user j to the renewable energy power consumption is calculated, that is, the equivalent renewable energy consumption of power user j; when the unique contribution ΔP j ≥0, the equivalent renewable energy consumption is equal to the sum of the unique contribution and the indifferent apportionment after deducting the unique contribution; when the unique contribution ΔP j <0, the equivalent renewable energy consumption is equal to the sum of the apportionment based on the electricity consumption proportion of power user j and the unique contribution Based on the correction results and the completion status, the assessment of the renewable energy power consumption responsibility weights that each user-side market entity should bear is redistributed; In the process of constructing the electricity market clearing model, the objective function of the electricity market clearing model is expressed as: In the formula, , , is the decision variable, among which, is the winning bid power of thermal power unit i in the mth bidding interval at time t, where m represents the number of bidding intervals. is the start-stop state variable of thermal power unit i at time t, is the startup cost of thermal power unit i at time t, I represents the set of units i, T represents the set of time t, M represents the set of stage number m, The declared price for the corresponding output range of the thermal power unit; In the process of constructing the electricity market clearing model, the constraints of the electricity market clearing model are expressed as follows: In the formula, is the output of thermal power unit i at time t; The declared power of thermal power unit i in the mth output interval at time t; represents the output of renewable energy i at time t, represents the predicted load demand at time t, expressed as the sum of all power users’ loads, , J represents the set of electricity users, Indicates the load demand reported by each user at each time. , are the lower and upper limits of the output of thermal power unit i at time t, is the start / stop state variable of thermal power unit i at time t, which is a binary variable; represents the predicted output value of renewable energy power at time t, Represents the renewable energy power output value, , are the up-climbing capability and down-climbing capability of thermal power unit i respectively; represents the startup cost of thermal power unit i. This constraint means that only and When thermal power unit i has a startup cost , in other combinations The value is 0; is the output of thermal power unit i at time t-1, represents the start / stop state variable of thermal power unit i at time t-1; In the process of obtaining the unique contribution, according to the clearing result, the transaction amount of renewable energy power considering all load conditions on the user side is obtained; Based on the user-side market entities of the entire system, after removing the declared quantity and price data of the first user-side market entity, the model is rebuilt through the construction method of the power market clearing model, and the total transaction volume of renewable energy power is obtained by clearing; The difference between the total renewable energy power transaction volume and the total renewable energy power output value when power user j does not participate in this market clearing is taken as the unique contribution of renewable energy power consumption of the first user-side market entity, and the unique contributions of other user-side market entities are obtained in sequence according to the process of obtaining the unique contribution of the first user-side market entity.

2. The method for assessing and allocating the responsibility weight of renewable energy consumption at the user side according to claim 1 is characterized by: In the process of obtaining the unique contribution, the unique contribution is expressed as: In the formula, Represents the total output value of renewable energy power, It represents the total amount of renewable energy power traded when power user j does not participate in this market clearing.

3. The method for assessing and allocating the responsibility weight of renewable energy consumption at the user side according to claim 2 is characterized by: In the process of obtaining the completion status, based on the prescribed renewable energy consumption responsibility weight ratio , , obtain the completion status Z of the renewable energy consumption responsibility weight, Z is expressed as: ； D t represents the predicted load demand at time t, expressed as the sum of all power users’ loads, J represents the set of electricity users, Indicates the load demand reported by each user at each moment.

4. The method for assessing and allocating the responsibility weight of renewable energy consumption at the user side according to claim 3 is characterized by: In the process of correcting the renewable energy power consumption, the renewable energy power consumption is expressed as: In the formula, represents the assessment base electricity of power user j under the new allocation mode, as the renewable energy power consumption; Represents the equivalent renewable energy consumption of electricity user j.

5. The method for assessing and allocating the responsibility weight of renewable energy consumption at the user side according to claim 4 is characterized by: In the process of redistributing the assessment weight of renewable energy power consumption responsibility that each user-side market entity should bear, according to the assessment base power F of each power user, K,j It is allocated based on the proportion of the total electricity consumption assessed by all electricity users.

6. The method for assessing and allocating the responsibility weight of renewable energy consumption at the user side according to claim 5 is characterized by: In the process of redistributing the assessment weight of renewable energy power consumption responsibility that each user-side market entity should bear, the redistribution process is expressed as follows: ； In the formula, Z represents the completion of the renewable energy consumption responsibility weight, F K,j It represents the assessment base electricity of power user j under the new allocation mode, as the renewable energy power consumption.

7. A system for assessing and allocating the responsibility weights of renewable energy consumption on the user side, used to implement the method for assessing and allocating the responsibility weights of renewable energy consumption on the user side as claimed in claim 1, characterized in that: include: The data collection module is used to collect the types of market entities participating in the centralized clearing of the power market, the number of market entities, and the quantity and price combination data declared by the market entities in the power market bidding; A model building module, for building a power market clearing model based on the declared quantity-price combination data and taking minimization of the total cost declared by the power generation side as the optimization goal, so as to clear the market bidding results; The contribution calculation module is used to obtain the unique contribution of each user-side market entity in the consumption of renewable energy power based on the clearing results; A correction module, for correcting the renewable energy power consumption amount of the user-side market entity according to the unique contribution amount based on the completion of the renewable energy power consumption responsibility weight of the system as a whole; The allocation module is used to redistribute the assessment of the renewable energy power consumption responsibility weight that each user-side market entity should bear based on the correction result and the completion status.

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