Local electric energy market clearing system

Abstract

The invention discloses a local electric energy market clearing system which comprises a user energy management module, an aggregator optimization declaration module and a local electric power market clearing module. The user energy management module comprises a flexibility contract signing unit, a prediction data sending unit and a terminal operation state monitoring unit. The aggregator optimization declaration module comprises a local market transaction information communication unit and a flexible resource economy aggregation model; the local electric power market clearing module comprises an aggregator information communication unit, a local electric energy market clearing model established based on a combined clock auction mechanism and a local electric energy market settlement model established based on a Vickrey price mechanism. According to the invention, local electricity markets in different scenes can be cleared and settled, and the method has feasibility and high flexibility. The method can be widely applied to the field of power market technical support systems.

Description

Technical Field

[0001] The invention relates to the field of power market technical support systems, and in particular to a local electric energy market clearing system. Background Art

[0002] In the context of energy structure transformation, distributed energy resources (DERs) are developing rapidly. The introduction of the local electricity market (LEM) can stimulate users' flexible adjustment capabilities through more sophisticated price signals in time and space dimensions, promote local consumption of distributed power generation, and bring added value to distributed energy entities and flexible users.

[0003] LEM involves multiple heterogeneous new entities such as energy storage, demand response users, prosumers, and aggregators. A large part of its operating costs is coupled with the peak-valley difference of spot market electricity prices. The quotation for participating in spot transactions needs to rely on accurate predictions of the spot price, renewable energy generation, and load power on the operating day. Considering multiple uncertainties such as distributed generation output and user load, it is difficult to make accurate quotations in the spot market based solely on predictions. Some studies have introduced new quotation formats to solve the quotation problem of new market entities participating in spot transactions considering multiple high uncertainties, such as designing flexible energy state quotations for energy storage. When considering the massive and diverse flexible resources of LEM, the method of introducing a new quotation format will make the LEM clearing model very complicated, introduce many integer variables and nonlinear constraints, and make the solution of the trading model complicated. It may happen that the clearing model cannot be solved within the effective time or even that the model has no feasible solution. In addition, the transaction data of market entities may contain privacy data such as electricity preferences, and market entities may face problems of incomplete information and information asymmetry when making decentralized decisions. Summary of the invention

[0004] In order to solve one of the technical problems existing in the prior art to at least a certain extent, the object of the present invention is to provide a local electric energy market clearing system.

[0005] The technical solution adopted by the present invention is:

[0006] A local electric energy market clearing system, comprising a user energy management module, an aggregator optimization declaration module, and a local electric energy market clearing module;

[0007] The user energy management module includes a flexibility contract signing unit, a prediction data sending unit and a terminal operation status monitoring unit;

[0008] The aggregator optimization declaration module includes a local market transaction information communication unit and a flexible resource economic aggregation model;

[0009] The local electricity market clearing module includes an aggregator information communication unit, a local electric energy market clearing model based on a combined clock auction mechanism, and a local electric energy market settlement model based on a Vickrey price mechanism.

[0010] Furthermore, the flexible contract signing unit is used to implement the following functions:

[0011] Through the user terminal, the physical contract for the operating parameters of the transferable load and the operating parameters of the reducible load is signed, wherein the operating parameters of the transferable load include the transferable time period, continuous operation time period, number of transfers, and rated operation power; the operating parameters of the reducible load include the reducible time period, continuous operation time, and rated operation power.

[0012] Furthermore, the prediction data sending unit is used to implement the following functions:

[0013] Through smart meters and home gateways, the distributed photovoltaic power generation forecast curve and fixed load forecast curve configured by the user terminal are sent to the corresponding aggregator optimization declaration module.

[0014] Furthermore, the terminal operation status monitoring unit is used to monitor and control the terminal operation status:

[0015] In the monitoring of the terminal operation status, the operation status of the adjustable load equipment and the operation status of the communication equipment are monitored through the smart meter, and the abnormal alarm information is sent to the corresponding aggregator optimization declaration module of the equipment through the home gateway;

[0016] In the control of the terminal operation status, the control instructions sent by the corresponding aggregator optimization declaration module are received through the home gateway, and the control instructions are executed through the smart meter and the smart home system.

[0017] Furthermore, the local market transaction information communication unit is used to implement the following functions:

[0018] Receive transaction data through a private communication link, where the transaction data includes iterative electricity prices in the local electric energy market, optimally allocated electricity, and settlement prices; send bid electricity of aggregators participating in local electric energy transactions through a private communication link; where both transaction data and bid data are stored in the aggregator's private cloud.

[0019] Furthermore, the steps of establishing the flexible resource economic aggregation model include:

[0020] With the goal of minimizing the electricity purchase cost of the aggregator, the optimization model is established considering the adjustable load operation constraints, namely:

[0021]

[0022] In the formula, π LEM,k represents the local electricity market price vector in the kth clock round iteration; It represents the load aggregator's local market electricity consumption vector in the kth clock round iteration; represents the power vector reported by the load aggregator on behalf of the fixed load i in the kth clock round iteration, and n represents the number of fixed loads on behalf of the load aggregator; represents the declared power vector of the transferable load i by the load aggregator in the kth clock round iteration, and x represents the number of transferable loads by the load aggregator; represents the load aggregator's agent's reported power vector for load i that can be reduced in the kth clock round iteration, and y represents the amount of load that can be reduced by the load aggregator's agent; represents the load aggregator's proxy distributed photovoltaic power reported power vector in the kth clock round iteration, and m represents the number of distributed photovoltaics represented by the load aggregator;

[0023] Linearize the operating constraints of adjustable loads.

[0024] Furthermore, the aggregator information communication unit is used to implement the following functions:

[0025] The local electric energy market transaction information is sent to the aggregator through the private communication link, and the aggregator declaration information is received through the private communication link.

[0026] Furthermore, the working method of the local electric energy market clearing model includes:

[0027] 1) Clock round iteration declaration: ① Define the price adjustment ratio Local market operators adjust prices based on the imbalance of supply and demand in the local market during this round of iterations in, It represents the sum of the declared power vectors of all load aggregators participating in the local market. represents the total amount of electricity reported by all load aggregators participating in the local market in time period t, represents the local electricity market price vector in the k+1th round of clock round iteration, and λ represents the price adjustment step; ② The aggregator optimizes and adjusts its own declared electricity according to the new iterative price adjustment bidding strategy announced by the local market operator; the aggregator's bidding in the iterative bidding of the clock round needs to meet the physical operation constraints of the adjustable resources and the simplified display preference constraints, where the simplified display preference is expressed as for any sth round and tth round in the clock round iteration, s<t, satisfying

[0028] 2) Clock-round pre-clearing: The local market operator calculates the amount reported by the aggregator to determine whether the local market convergence criteria are met: ① The local market reported amount reaches a balance between supply and demand Or, ② The change in the local market application volume between two consecutive iterations is small enough Among them, ε LEM-balance represents the local market supply and demand balance convergence threshold, It represents the convergence threshold of the difference between adjacent iterations of the local market clock round. It represents the load aggregator's local market electricity consumption vector in the kth clock round iteration;

[0029] 3) Final round of sealed bidding: To compensate for the loss of market efficiency caused by discrete iterations of the clock round, after the pre-clearing of the clock round, the aggregator conducts a final round of sealed bidding and submits a sealed bidding function S to the local market operator. i (x i ), must satisfy the three behavioral rules constraints related to the clock round bidding behavior: ① The sealed declaration function S i (x i ) is subject to the pre-clearing result of the clock round; if in the clock round, the bidder's declared demand is x when the price is p i , then bidder i has i The final bid for a unit must be at least px i , that is, S i (x i )≥px i ; ② The sealed declaration function satisfies the revealed preference of clearing in the last round of the clock round; Assume that the price in the last round of the clock round is p * , bidder i declares a demand of Must meet have That is, the consumer welfare is maximized under the last round of bidding in the clock round; ③ The final bid of bidder i must satisfy an additional local display preference; when the bid amount is greater than the bid amount in the last round of iteration of the clock round, it must satisfy the have That is, the marginal utility of the sealed declaration function should be no higher than the quotation corresponding to the clock wheel;

[0030] 4) Optimal allocation calculation: The local market operator receives the final round of sealed bids from the aggregator. i (x i )After that, the optimal allocation of each aggregator is calculated.

[0031] Furthermore, the working mode of the local electric energy market settlement model includes:

[0032] 1) Calculate the total market transaction cost W under the optimal allocation based on the final round of sealed bids;

[0033] 2) Calculate the transaction cost W of each aggregator under the optimal allocation i ;

[0034] 3) Calculate the total market transaction cost W under the optimal allocation of the local market when aggregator i exits the local market transaction -i ;

[0035] 4) Calculate the Vickrey payment price of aggregator i, the calculation formula is W -i -(WW i ).

[0036] The beneficial effects of the present invention are as follows: a local electric energy market clearing system proposed in the present invention divides the clearing system into a user energy management module, an aggregator optimization declaration module, and a local electricity market clearing module, and embeds a local electricity market clearing mechanism based on a combined clock auction into the clearing system, which has the advantages of simple market entity participation and fast clearing convergence. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the embodiments of the present invention or the drawings of related technical solutions in the prior art are introduced below. It should be understood that the drawings introduced below are only for the convenience of clearly describing some embodiments of the technical solutions of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0038] Figure 1 It is a schematic diagram of a local electric energy market clearing system in an embodiment of the present invention.

[0039] Figure 2 It is a logical schematic diagram of the local electricity market clearing module in an embodiment of the present invention. DETAILED DESCRIPTION

[0040] The embodiments of the present invention are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and are not to be construed as limitations of the present invention. For the step numbers in the following embodiments, they are only provided for the convenience of explanation, and the order between the steps is not limited in any way, and the execution order of each step in the embodiment can be adaptively adjusted according to the understanding of those skilled in the art.

[0041] In the description of the present invention, it should be understood that descriptions involving orientations, such as up, down, front, back, left, right, etc., and orientations or positional relationships indicated are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present invention.

[0042] In the description of the present invention, "several" means one or more, "more" means more than two, "greater than", "less than", "exceed" etc. are understood as not including the number itself, and "above", "below", "within" etc. are understood as including the number itself. If there is a description of "first" or "second", it is only used for the purpose of distinguishing the technical features, and cannot be understood as indicating or implying the relative importance or implicitly indicating the number of the indicated technical features or implicitly indicating the order of the indicated technical features.

[0043] In the description of the present invention, unless otherwise clearly defined, terms such as setting, installing, connecting, etc. should be understood in a broad sense, and technicians in the relevant technical field can reasonably determine the specific meanings of the above terms in the present invention based on the specific content of the technical solution.

[0044] like Figure 1 As shown, this embodiment provides a local electric energy market clearing system, which embeds the local power market clearing mechanism based on combined clock auction into the clearing system, and has the advantages of simple market subject participation and fast clearing convergence. The system specifically includes a user energy management module, an aggregator optimization declaration module, and a local power market clearing module. Each module is explained in detail below with reference to the accompanying drawings.

[0045] (1) User Energy Management Module

[0046] Exemplarily, the user energy management module includes a flexibility contract signing unit, a prediction data sending unit and a terminal operation status monitoring unit.

[0047] a) The flexibility contract signing unit is used to achieve the following functions: through the user terminal, to realize the signing of the entity contract for the operating parameters of the transferable load and the operating parameters of the curtailable load, wherein the operating parameters of the transferable load include the transferable time period, continuous operation time period, number of transfers, and rated operating power; the operating parameters of the curtailable load include the curtailable time period, continuous operation time, and rated operating power.

[0048] b) The prediction data sending unit is used to achieve the following functions: through the smart meter and the home gateway, the distributed photovoltaic power generation prediction curve and the fixed load prediction curve configured by the user terminal are sent to the corresponding aggregator optimization declaration module.

[0049] c) The terminal operation status monitoring unit is used to realize terminal operation status monitoring and terminal operation status control: in the terminal operation status monitoring, the operation status of the adjustable load equipment and the operation status of the communication equipment are monitored through the smart meter, and the abnormal alarm information is sent to the corresponding aggregator optimization reporting module of the equipment through the home gateway; in the terminal operation status control, the control instructions sent by the corresponding aggregator optimization reporting module are received through the home gateway, and the control instructions are executed through the smart meter and the smart home system.

[0050] (2) Aggregator optimization reporting module

[0051] Exemplarily, the aggregator optimization declaration module includes a local market transaction information communication unit and a flexible resource economic aggregation model.

[0052] a) The local market transaction information communication unit is used to implement the following functions: receiving transaction data through a private communication link, wherein the transaction data includes the iterative electricity price of the local electric energy market, the optimal allocated electricity quantity, and the settlement price; sending the bid electricity quantity of the aggregator participating in the local electric energy transaction through a private communication link; wherein both the transaction data and the bid data are stored in the aggregator's private cloud.

[0053] b) The steps of establishing the flexible resource economic aggregation model include:

[0054] With the goal of minimizing the electricity purchase cost of the aggregator, the optimization model is established considering the adjustable load operation constraints, namely:

[0055]

[0056] In the formula, π LEM,k represents the local electricity market price vector in the kth clock round iteration; It represents the load aggregator's local market electricity consumption vector in the kth clock round iteration; represents the power vector reported by the load aggregator on behalf of the fixed load i in the kth clock round iteration, and n represents the number of fixed loads on behalf of the load aggregator; represents the declared power vector of the transferable load i by the load aggregator in the kth clock round iteration, and x represents the number of transferable loads by the load aggregator; represents the load aggregator's agent's reported power vector for load i that can be reduced in the kth clock round iteration, and y represents the amount of load that can be reduced by the load aggregator's agent; It represents the power vector reported by distributed photovoltaics on behalf of the load aggregator in the kth clock round iteration, and m represents the number of distributed photovoltaics represented by the load aggregator.

[0057] Furthermore, the adjustable load operation constraints are linearized.

[0058] (3) Local electricity market clearing module

[0059] Exemplarily, the local electricity market clearing module includes an aggregator information communication unit, a local electric energy market clearing model established based on a combined clock auction mechanism, and a local electric energy market settlement model established based on a Vickrey price mechanism.

[0060] a) The aggregator information communication unit is used to implement the following functions: sending local electric energy market transaction information to the aggregator through a private communication link, and receiving aggregator declaration information through a private communication link.

[0061] b) Establishing a local electricity market clearing model based on the combined clock auction mechanism. The specific implementation process is as follows Figure 2 As shown, it includes clock round iterative declaration, clock round pre-clearing, final round sealed bidding, and optimal allocation calculation. The main steps are as follows:

[0062] 1) Clock round iteration declaration: ① Define the price adjustment ratio Local market operators adjust prices based on the imbalance of supply and demand in the local market during this round of iterations in, It represents the sum of the declared power vectors of all load aggregators participating in the local market. represents the total amount of electricity reported by all load aggregators participating in the local market in time period t, represents the local electricity market price vector in the k+1th round of clock round iteration, and λ represents the price adjustment step; ② The aggregator optimizes and adjusts its own declared electricity according to the new iterative price adjustment bidding strategy announced by the local market operator; the aggregator's bidding in the iterative bidding of the clock round needs to meet the physical operation constraints of the adjustable resources and the simplified display preference constraints, where the simplified display preference is expressed as for any sth round and tth round in the clock round iteration, s<t, satisfying

[0063] 2) Clock-round pre-clearing: The local market operator calculates the amount reported by the aggregator to determine whether the local market convergence criteria are met: ① The local market reported amount reaches a balance between supply and demand Or, ② The change in the local market application volume between two consecutive iterations is small enough Among them, ε LEM-balance represents the local market supply and demand balance convergence threshold, It represents the convergence threshold of the difference between adjacent iterations of the local market clock round. It represents the load aggregator's local market electricity consumption vector in the kth clock round iteration;

[0064] 3) Final round of sealed bidding: To compensate for the loss of market efficiency caused by discrete iterations of the clock round, after the pre-clearing of the clock round, the aggregator conducts a final round of sealed bidding and submits a sealed bidding function S to the local market operator. i (x i ), must satisfy the three behavioral rules constraints related to the clock round bidding behavior: ① The sealed declaration function S i (x i ) is subject to the pre-clearing result of the clock round; if in the clock round, the bidder's declared demand is x when the price is p i , then bidder i has i The final bid for a unit must be at least px i , that is, S i (x i )≥px i ; ② The sealed declaration function satisfies the revealed preference of clearing in the last round of the clock round; Assume that the price in the last round of the clock round is p * , bidder i declares a demand of Must meet have That is, the consumer welfare is maximized under the last round of bidding in the clock round; ③ The final bid of bidder i must satisfy an additional local display preference; when the bid amount is greater than the bid amount in the last round of iteration of the clock round, it must satisfy the have That is, the marginal utility of the sealed declaration function should be no higher than the quotation corresponding to the clock wheel;

[0065] 4) Optimal allocation calculation: The local market operator receives the final sealed bid S from the aggregator. i (x i )After that, the optimal allocation of each aggregator is calculated.

[0066] c) Establish a local electricity market settlement model based on the Vickrey price mechanism. The main steps are as follows:

[0067] 1) Calculate the total market transaction cost W under the optimal allocation based on the final round of sealed bids;

[0068] 2) Calculate the transaction cost W of each aggregator under the optimal allocation i ;

[0069] 3) Calculate the total market transaction cost W under the optimal allocation of the local market when aggregator i exits the local market transaction -i ;

[0070] 4) Calculate the Vickrey payment price of aggregator i, the calculation formula is W -i -(WW i ).

[0071] In summary, the present invention proposes a local electricity energy market clearing system, which divides the clearing system into a user energy management module, an aggregator optimization declaration module, and a local electricity market clearing module, and explains the data calculation process within different modules and the data interaction relationship between different modules. The local electricity market clearing mechanism based on combined clock auctions is embedded in the clearing system, which has the advantages of simple participation of market entities and fast clearing convergence.

[0072] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0073] The above embodiments are only for illustrating the technical concept and features of the present invention, and their purpose is to enable ordinary technicians in the field to understand the content of the present invention and implement it accordingly, and they cannot be used to limit the protection scope of the present invention. Any equivalent changes or modifications made based on the essence of the content of the present invention should be included in the protection scope of the present invention.

Claims

1. A local electric energy market clearing system, characterized in that: It includes user energy management module, aggregator optimization declaration module, and local power market clearing module; The user energy management module includes a flexibility contract signing unit, a prediction data sending unit and a terminal operation status monitoring unit; The aggregator optimization declaration module includes a local market transaction information communication unit and a flexible resource economic aggregation model; The local electricity market clearing module includes an aggregator information communication unit, a local electric energy market clearing model based on a combined clock auction mechanism, and a local electric energy market settlement model based on a Vickrey price mechanism.

2. A local electric energy market clearing system according to claim 1, characterized in that: The flexibility contract signing unit is used to implement the following functions: Through the user terminal, the physical contract for the operating parameters of the transferable load and the operating parameters of the reducible load is signed, wherein the operating parameters of the transferable load include the transferable time period, continuous operation time period, number of transfers, and rated operation power; the operating parameters of the reducible load include the reducible time period, continuous operation time, and rated operation power.

3. A local electric energy market clearing system according to claim 1, characterized in that: The prediction data sending unit is used to implement the following functions: Through smart meters and home gateways, the distributed photovoltaic power generation forecast curve and fixed load forecast curve configured by the user terminal are sent to the corresponding aggregator optimization declaration module.

4. A local electric energy market clearing system according to claim 1, characterized in that: The terminal operation status monitoring unit is used to monitor and control the terminal operation status: In the monitoring of the terminal operating status, the operating status of the adjustable load equipment and the operating status of the communication equipment are monitored through the smart meter, and the abnormal alarm information is sent to the corresponding aggregator optimization reporting module of the equipment through the home gateway; in the control of the terminal operating status, the control instructions sent by the corresponding aggregator optimization reporting module are received through the home gateway, and the control instructions are executed through the smart meter and the smart home system.

5. A local electric energy market clearing system according to claim 1, characterized in that: The local market transaction information communication unit is used to implement the following functions: Receive transaction data through a private communication link, where the transaction data includes iterative electricity prices in the local electric energy market, optimally allocated electricity, and settlement prices; send bid electricity of aggregators participating in local electric energy transactions through a private communication link; where both transaction data and bid data are stored in the aggregator's private cloud.

6. A local electric energy market clearing system according to claim 1, characterized in that: The steps of establishing the flexible resource economic aggregation model include: With the goal of minimizing the electricity purchase cost of the aggregator, the optimization model is established considering the adjustable load operation constraints, namely: In the formula, π LEM,k represents the local electricity market price vector in the kth clock round iteration; It represents the load aggregator's local market electricity consumption vector in the kth clock round iteration; represents the power vector reported by the load aggregator on behalf of the fixed load i in the kth clock round iteration, and n represents the number of fixed loads on behalf of the load aggregator; represents the declared power vector of the transferable load i by the load aggregator in the kth clock round iteration, and x represents the number of transferable loads by the load aggregator; represents the load aggregator's agent's reported power vector for load i that can be reduced in the kth clock round iteration, and y represents the amount of load that can be reduced by the load aggregator's agent; represents the load aggregator's proxy distributed photovoltaic power reported power vector in the kth clock round iteration, and m represents the number of distributed photovoltaics represented by the load aggregator; Linearize the operating constraints of adjustable loads.

7. A local electric energy market clearing system according to claim 1, characterized in that: The aggregator information communication unit is used to implement the following functions: The local electric energy market transaction information is sent to the aggregator through the private communication link, and the aggregator declaration information is received through the private communication link.

8. A local electric energy market clearing system according to claim 1, characterized in that: The working method of the local electric energy market clearing model includes: 1) Clock round iteration declaration: ① Define the price adjustment ratio Local market operators adjust prices based on the imbalance of supply and demand in the local market during this round of iterations in, It represents the sum of the declared power vectors of all load aggregators participating in the local market. represents the total amount of electricity reported by all load aggregators participating in the local market in time period t, represents the local electricity market price vector in the k+1th round of clock round iteration, and λ represents the price adjustment step; ② The aggregator optimizes and adjusts its own declared electricity according to the new iterative price adjustment bidding strategy announced by the local market operator; the aggregator's bidding in the iterative bidding of the clock round needs to meet the physical operation constraints of the adjustable resources and the simplified display preference constraints, where the simplified display preference is expressed as for any sth round and tth round in the clock round iteration, s<t, satisfying 2) Clock-round pre-clearing: Local market operators calculate the aggregator's declared volume to determine whether it meets the local market convergence criteria: ① The local market application volume reaches a balance between supply and demand Or, ② The change in the local market application volume between two consecutive iterations is small enough Among them, ε LEM-balance represents the local market supply and demand balance convergence threshold, It represents the convergence threshold of the difference between adjacent iterations of the local market clock round. It represents the load aggregator's local market electricity consumption vector in the kth clock round iteration; 3) Final round of sealed bidding: To compensate for the loss of market efficiency caused by discrete iterations of the clock round, after the pre-clearing of the clock round, the aggregator conducts a final round of sealed bidding and submits a sealed bidding function S to the local market operator. i (x i ), must satisfy the three behavioral rules constraints related to the clock round bidding behavior: ① The sealed declaration function S i (x i ) is subject to the pre-clearing result of the clock round; if in the clock round, the bidder's declared demand is x when the price is p i , then bidder i has i The final bid for a unit must be at least px i , that is, S i (x i )≥px i ; ② The sealed declaration function satisfies the revealed preference of clearing in the last round of the clock round; Assume that the price in the last round of the clock round is p * , bidder i declares a demand of Must meet have That is, the consumer welfare is maximized under the last round of bidding in the clock round; ③ The final bid of bidder i must satisfy an additional local display preference; when the bid amount is greater than the bid amount in the last round of iteration of the clock round, it must satisfy the have That is, the marginal utility of the sealed declaration function should be no higher than the quotation corresponding to the clock wheel; 4) Optimal allocation calculation: The local market operator receives the final sealed bid S from the aggregator. i (x i )After that, the optimal allocation of each aggregator is calculated.

9. A local electric energy market clearing system according to claim 1, characterized in that: The working method of the local electric energy market settlement model includes: 1) Calculate the total market transaction cost W under the optimal allocation based on the final round of sealed bids; 2) Calculate the transaction cost W of each aggregator under the optimal allocation i ; 3) Calculate the total market transaction cost W under the optimal allocation of the local market when aggregator i exits the local market transaction -i ; 4) Calculate the Vickrey payment price of aggregator i, the calculation formula is W -i -(WW i ).

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