A local electricity market clearing system

Abstract

The application discloses a local electric energy market clearing system, comprising 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 element, a prediction data sending element and a terminal operation state monitoring element; the aggregator optimization declaration module comprises a local market transaction information communication element and a flexible resource economic aggregation model; the local electric power market clearing module comprises an aggregator information communication element, a local electric energy market clearing model established based on a combination clock auction mechanism and a local electric energy market settlement model established based on a Vickrey price mechanism; the application can clear and settle local electric power markets in different scenarios, has implementability and high flexibility, and can be widely applied in the field of electric power market technical support systems.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of power market technical support systems, in particular to a local electricity market clearing system. BACKGROUND

[0002] Under the background of energy structure transformation, distributed energy resources (DERs) are developing rapidly. The introduction of local electricity market (LEM) can stimulate the flexible adjustment ability of users through more precise price signals in time and space dimensions, promote the local consumption of distributed generation, and bring additional value to distributed energy subjects and flexible users.

[0003] LEM involves multiple heterogeneous new subjects such as energy storage, demand response users, producers and consumers, aggregators, etc. A large part of its operating cost is coupled with the peak-valley difference of spot market electricity price. The bidding of participating in spot trading needs to rely on accurate prediction of spot price, renewable energy generation and load. Under the consideration of multiple uncertainties such as distributed generation output and user load, it is difficult to accurately bid in the spot market relying solely on prediction. Some studies have introduced new bidding formats to solve the problem of bidding in spot trading by considering multiple high uncertainties of new market subjects, such as designing flexible energy state bidding for energy storage. When considering the massive and various flexible resources of LEM, the method of introducing new bidding formats will make the LEM clearing model very complex, introduce many integer variables and nonlinear constraints, and the solution of the trading model becomes complex, which may cause the problem that the clearing model cannot be solved within an effective time or even the model has no feasible solution. In addition, the trading data of market subjects may contain privacy data such as electricity preference, and market subjects may face the problem of incomplete information and asymmetric information when making decentralized decisions. SUMMARY

[0004] To at least partially solve one of the technical problems existing in the prior art, the purpose of the present application is to provide a local electricity market clearing system.

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

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

[0007] The user energy management module comprises a flexibility contract signing element, a prediction data sending unit and a terminal operating state monitoring unit.

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

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

[0010] Further, the flexible contract signing unit is used to realize the following functions:

[0011] Through the user terminal, the entity contract signing of the transferable load operating parameter and the cuttable load operating parameter is realized, wherein the transferable load operating parameter comprises a transferable period, a continuous operating period, a transferable number of times, and a rated operating power, and the cuttable load operating parameter comprises a cuttable period, a continuous operating time, and a rated operating power.

[0012] Further, the prediction data sending unit is used to realize the following functions:

[0013] 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.

[0014] Further, the terminal operating state monitoring unit is used to realize the monitoring and control of the terminal operating state:

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

[0016] In the control of the terminal operating state, the control instruction sent by the corresponding aggregator optimization declaration module is received through the home gateway, and the control instruction is executed through the smart meter and the smart home system.

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

[0018] The transaction data is received through the private communication link, wherein the transaction data comprises a local electricity energy market iterative electricity price, an optimal distributed power, and a settlement price; the bidding power of the aggregator participating in the local electricity energy transaction is sent through the private communication link; wherein the transaction data and the bidding data are stored in the aggregator private cloud.

[0019] Further, the establishment steps of the flexible resource economic aggregation model comprise:

[0020] An optimal model is established by taking the minimum power purchase cost of the aggregator as the target and considering the adjustable load operating constraint, that is:

[0021]

[0022] wherein π LEM,k denotes the local electricity market price vector in the kth clock round iteration; denotes the local market declared power vector of the load aggregator in the kth clock round iteration; denotes the declared power vector of the fixed load i of the load aggregator in the kth clock round iteration, and n denotes the number of fixed loads of the load aggregator; denotes the declared power vector of the transferable load i of the load aggregator in the kth clock round iteration, and x denotes the number of transferable loads of the load aggregator; denotes the declared power vector of the curtailable load i of the load aggregator in the kth clock round iteration, and y denotes the number of curtailable loads of the load aggregator; denotes the declared power vector of the distributed photovoltaic of the load aggregator in the kth clock round iteration, and m denotes the number of distributed photovoltaics of the load aggregator;

[0023] The adjustable load operation constraint is linearized.

[0024] Further, the aggregator information communication unit is used to realize the following functions:

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

[0026] Further, the working mode of the local electricity market clearing model comprises:

[0027] 1) Clock round iteration declaration: ① Define the price adjustment ratio The local market operator adjusts the price according to the local market supply-demand imbalance power in the current iteration wherein, denotes the total of the declared power vectors of all load aggregators participating in the local market, denotes the total of the declared power of all load aggregators participating in the local market in period t, denotes the local electricity market price vector in the k+1th clock round iteration, and λ denotes the price adjustment step; ② The aggregator adjusts the bidding strategy according to the new iteration price announced by the local market operator, and optimizes and adjusts the declared power; The iteration bidding of the clock round needs to meet the adjustable resource physical operation constraint and the simplified display preference constraint, wherein the simplified display preference is expressed as for any sth round and tth round in the clock round iteration, s

[0028] 2) Clock Wheel Pre-Clearing: Local market operators calculate the aggregator's bid volume to determine whether the local market convergence criterion is met: ① The local market bid volume reaches supply and demand balance. Alternatively, ② the change in the local market declaration volume between two adjacent iterations is sufficiently small. Where, ε LEM-balance This indicates the local market supply and demand balance convergence threshold. This represents the convergence threshold of the difference between adjacent iterations of the local market clock wheel. This represents the local market reported electricity vector of the load aggregator in the k-th clock cycle iteration;

[0029] 3) Final Round Sealed Bidding: To compensate for the market efficiency loss caused by the discrete iteration of the clock round, after the clock round pre-clearing, aggregators conduct a final round sealed bidding, submitting sealed bids to the local market operator using the sealed bid function S. i (x i It must satisfy three behavioral rules related to the clock wheel bidding behavior: ① Sealed declaration function S i (x i Constrained by the pre-clearing result of the clock wheel; if in the clock wheel, when the price is p, the bidder's declared demand is x. i Then bidder i to x i The final bid must be at least in pixels (px). i S i (x i )≥px i ② The sealed declaration function satisfies the display preference of the last round of clearing in the clock wheel; assuming the price of the last round of the clock wheel is p. * The bidder i declared the demand quantity as follows: Then it must satisfy have That is, the consumer welfare is maximized in the last round of bidding in the clock cycle; ③ Bidder i's final bid must satisfy an additional local display preference; when the number of bids exceeds the number of bids in the last iteration of the clock cycle, it must satisfy the requirement of... have That is, the marginal utility of the sealed declaration function should not be higher than the price quoted by the clock wheel;

[0030] 4) Optimal allocation calculation: The local market operator receives the final sealed bid from the aggregator. i (x i After that, calculate the optimal allocation for each aggregator.

[0031] Furthermore, the operation of the local electricity market settlement model includes:

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

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

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

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

[0036] The beneficial effects of the present application are: the local electric energy market clearing system proposed by the present application divides the clearing system into a user energy management module, an aggregator optimization declaration module and a local electric power market clearing module, embeds the local electric power market clearing mechanism based on the combined clock auction into the clearing system, and has the advantages of simple market subject participation, fast clearing convergence, etc. BRIEF DESCRIPTION OF DRAWINGS

[0037] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following introduces the drawings of the related technical solutions in the embodiments of the present application or the prior art. It should be understood that the drawings in the following introduction are only for the convenience of clearly describing part of the embodiments in the technical solutions of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor on the basis of these drawings.

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

[0039] Figure 2 It is a logic diagram of a local electric power market clearing module in an embodiment of the present application. DETAILED DESCRIPTION

[0040] The embodiments of the present application will be described in detail below, and examples of the embodiments are shown in the drawings, wherein the same or similar reference signs represent the same or similar elements or elements with the same or similar functions throughout. The embodiments described below by referring to the drawings are exemplary and are only used to explain the present application, and cannot be understood as a limitation of the present application. For the step numbers in the following embodiments, they are only set for the convenience of description and explanation, and the order between the steps is not limited in any way, and the execution order of each step in the embodiments can be adaptively adjusted according to the understanding of those skilled in the art.

[0041] In the description of the present application, it should be understood that the orientation description, such as the orientation or position relationship indicated by up, down, front, back, left, right and the like, is based on the orientation or position relationship shown in the drawings, and is only for the convenience of describing the present application and simplifying the description, and does not indicate or imply that the device or element referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as a limitation on the present application.

[0042] In the description of the present application, one or more is meant to be one or more, more than two is meant to be two or more, greater than, less than, more than, etc. are understood to exclude the number, above, below, within, etc. are understood to include the number. If the first, second is described, it is only for the purpose of distinguishing technical features, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated or the sequence of technical features indicated.

[0043] In the description of the present application, unless otherwise explicitly limited, the words such as setting, mounting, connecting, etc. should be broadly understood, and those skilled in the art can reasonably determine the specific meaning of the above words in the present application in combination with the specific content of the technical solution.

[0044] As shown in Figure 1 The embodiment provides a local electricity market clearing system, which embeds a local electricity market clearing mechanism based on a combined clock auction into the clearing system, has the advantages that market participants are easy to participate, and clearing converges quickly. The system specifically comprises a user energy management module, an aggregator optimization declaration module and a local electricity market clearing module. Each module will be explained and described in detail below in combination with the drawings.

[0045] (1) User energy management module

[0046] Exemplarily, the user energy management module comprises a flexibility contract signing element, a prediction data sending element and a terminal running state monitoring element.

[0047] a) The flexibility contract signing element is used to realize the following functions: through the user terminal, the entity contract signing of the transferable load running parameter and the reducible load running parameter is realized, wherein the transferable load running parameter comprises a transferable period, a continuous running period, a transferable number of times and a rated running power, and the reducible load running parameter comprises a reducible period, a continuous running time and a rated running power.

[0048] b) The prediction data sending element is used to realize 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 state monitoring unit is configured to monitor and control the terminal operation state: in the monitoring of the terminal operation state, the operation state of the adjustable load device and the operation state of the communication device are monitored by the smart meter, and the abnormal alarm information is sent to the corresponding aggregator optimization declaration module by the home gateway; in the control of the terminal operation state, the control instruction sent by the corresponding aggregator optimization declaration module is received by the home gateway, and the control instruction is executed by the smart meter and the smart home system.

[0050] (2) Aggregator optimization declaration module

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

[0052] a) the local market transaction information communication unit is configured to receive transaction data through a private communication link, wherein the transaction data comprises local electricity market iterative price, optimal allocation power, and settlement price; and send the bidding power of the aggregator participating in the local electricity transaction through the private communication link; wherein the transaction data and the bidding data are stored in the aggregator private cloud.

[0053] b) the establishment steps of the flexible resource economic aggregation model comprise:

[0054] An optimal model is established with the objective of minimizing the power purchase cost of the aggregator and considering the adjustable load operation constraint, that is:

[0055]

[0056] In the formula, π LEM,k represents the local electricity market price vector in the kth clock round iteration; represents the local market declaration power vector of the load aggregator in the kth clock round iteration; represents the declaration power vector of the agent fixed load i of the load aggregator in the kth clock round iteration, and n represents the number of fixed loads agented by the load aggregator; represents the declaration power vector of the agent transferable load i of the load aggregator in the kth clock round iteration, and x represents the number of transferable loads agented by the load aggregator; represents the declaration power vector of the agent reducible load i of the load aggregator in the kth clock round iteration, and y represents the number of reducible loads agented by the load aggregator; represents the declaration power vector of the agent distributed photovoltaic of the load aggregator in the kth clock round iteration, and m represents the number of distributed photovoltaics agented by the load aggregator.

[0057] Further, the adjustable load operation constraint is linearized.

[0058] (3) Local electricity market clearing module

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

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

[0061] b) The specific implementation process of establishing the local electricity energy market clearing model based on the combined clock auction mechanism is shown in FIG. 2, which comprises clock round iteration declaration, clock round pre-clearing, final round sealed bidding, optimal allocation calculation, and the main steps are as follows: Figure 2

[0062] 1) Clock round iteration declaration: ① Define the price adjustment ratio The local market operator adjusts the price according to the unbalanced electricity quantity of the local market in this round of iteration Wherein, represents the total of the declaration electricity quantity vector of all load aggregators participating in the local market, represents the total of the declaration electricity quantity of all load aggregators participating in the local market at period t, represents the local electricity energy market price vector in the k+1 round of clock round iteration, and λ represents the price adjustment step; ② The aggregator adjusts the bidding strategy according to the new iteration price announced by the local market operator, and optimizes and adjusts the own declaration electricity quantity; The iteration bidding of the aggregator in the clock round needs to meet the adjustable resource physical operation constraint and the simplified display preference constraint, wherein the simplified display preference is expressed as for any s round and t round in the clock round iteration, s < t, which satisfies

[0063] 2) Clock round pre-clearing: the local market operator calculates the aggregator declaration quantity, and judges whether the local market declaration quantity meets the convergence criterion: ① The local market declaration quantity reaches the supply-demand balance Or, ② The change of the local market declaration quantity in the adjacent two iterations is small enough Wherein, ε LEM-balance represents the local market supply-demand balance convergence threshold, represents the local market clock round adjacent iteration round difference convergence threshold, represents the local market declaration electricity quantity vector of the load aggregator in the k round of clock round iteration;

[0064] ​3) Final Round Sealed Bidding: To compensate for the market efficiency loss caused by the discrete iteration of the clock round, after the clock round pre-clearing, aggregators conduct a final round sealed bidding, submitting sealed bids to the local market operator using the sealed bid function S. i (x i It must satisfy three behavioral rules related to the clock wheel bidding behavior: ① Sealed declaration function S i (x i Constrained by the pre-clearing result of the clock wheel; if in the clock wheel, when the price is p, the bidder's declared demand is x. i Then bidder i to x i The final bid must be at least in pixels (px). i S i (x i )≥px i ② The sealed declaration function satisfies the display preference of the last round of clearing in the clock wheel; assuming the price of the last round of the clock wheel is p. * The bidder i declared the demand quantity as follows: Then it must satisfy have That is, the consumer welfare is maximized in the last round of bidding in the clock cycle; ③ Bidder i's final bid must satisfy an additional local display preference; when the number of bids exceeds the number of bids in the last iteration of the clock cycle, it must satisfy the requirement of... have That is, the marginal utility of the sealed declaration function should not be higher than the price quoted by 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, calculate the optimal allocation for each aggregator.

[0066] c) Establish a local electricity market settlement model based on the Vickrey pricing 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 sealing bid;

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

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

[0070] 4) Calculate the Vickrey payment price for aggregator i, using the formula W. -i -(WW i ).

[0071] In conclusion, the local electricity market clearing system is divided into a user energy management module, an aggregator optimization declaration module and a local electricity market clearing module, and the data calculation process in different modules and the data interaction relationship between different modules are described, the local electricity market clearing mechanism based on combined clock auction is embedded into the clearing system, and the local electricity market clearing mechanism based on combined clock auction has the advantages of simple market subject participation and fast clearing convergence.

[0072] In the description of the present specification, the description referring to the terms "one embodiment", "some embodiments", "an example", "a specific example", or "some examples" and the like means that the specific features, structures, materials or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present application. In the present specification, the illustrative description of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any appropriate manner in any one or more embodiments or examples. Furthermore, the person skilled in the art can combine and combine the different embodiments or examples described in the present specification and the features of the different embodiments or examples without contradiction.

[0073] The above embodiments are only for the purpose of illustrating the technical concept and characteristics of the present application, and the purpose is to enable those skilled in the art to understand the content of the present application and to implement it, and cannot limit the protection scope of the present application. Any equivalent changes or modifications made according to the essence of the present application shall be covered within the protection scope of the present application.

Claims

1. A local electricity market clearing system, characterized by, The user energy management module, the aggregator optimization declaration module, and the local power market clearing module; The user energy management module comprises a flexibility contract signing element, a prediction data sending element, and a terminal operation state monitoring element; The aggregator optimization declaration module comprises a local market transaction information communication element and a flexible resource economic aggregation model; The local power market clearing module comprises an aggregator information communication element, a local electric energy market clearing model based on a combination clock auction mechanism, and a local electric energy market settlement model based on a Vickrey price mechanism; The working mode of the local electric energy market clearing model comprises: 1) Clock Wheel Iteration Application: ① Define Price Adjustment Ratio Local market operators will adjust prices based on the electricity supply-demand imbalance in the local market during this round of iterations. ;in, This represents the vector summation of the declared electricity volumes of all load aggregators participating in the local market. This indicates that all load aggregators participating in the local market are within the specified time period. t The total declared electricity volume Indicates the first The local electricity market price vector during the round-clock iteration. This indicates the price adjustment step size; ② Aggregators optimize their own declared electricity volume based on the new iterative price adjustment bidding strategy announced by local market operators; Aggregator bidding in the clock wheel iteration bidding needs to meet the adjustable resource physical operation constraints and simplified display preference constraints, where simplified display preference is expressed as, for any number of iterations in the clock wheel iteration, ... Wheel and First wheel, ,satisfy( ; 2) Clock wheel pre-out: the local market operator calculates the aggregator declaration volume, and judges whether the local market convergence criterion is met: ① the local market declaration volume reaches supply-demand balance , or ② the change of the local market declaration volume in the adjacent two iterations is small enough , wherein represents the local market supply-demand balance convergence threshold, represents the local market clock wheel adjacent iteration wheel difference convergence threshold, represents the local market declaration electric quantity vector of the load aggregator in the k th clock wheel iteration. 3) Final Round Sealed Bidding: To compensate for the market efficiency loss caused by the discrete iteration of the clock round, after the clock round pre-clearing, aggregators conduct a final round sealed bidding, submitting sealed bid functions to the local market operator. It must satisfy three behavioral rules related to clock wheel bidding behavior: ① Sealed submission function Constrained by the pre-clearing result of the clock wheel; if the price in the clock wheel is The requirements declared by the bidders at that time are Then the bidder right The final bid per unit must be at least [amount missing]. ,Right now ② The sealed declaration function satisfies the display preference of the last round of clearing in the clock wheel; assuming the price of the last round of the clock wheel is Bidders The demand for application is Then it must satisfy ,have That is, the consumer benefit is greatest in the last round of bidding on the clock wheel; ③ Bidders The final bid must satisfy an additional local display preference; when the bid volume is greater than the bid volume in the last iteration of the clock round, it must satisfy a certain local display preference. ,have That is, the marginal utility of the sealed declaration function should not be higher than the price corresponding to the clock wheel; 4) Optimal Allocation Calculation: Local market operator receives final round sealed bids from aggregators Afterwards, the optimal allocation of each aggregator is calculated.

2. A local electricity market clearing system according to claim 1, characterized in that, The flexibility contract signing element is used to realize the following functions: Through the user terminal, the entity contract signing of the operation parameters of the transferable load and the operation parameters of the reducible load is realized, wherein the operation parameters of the transferable load comprise a transferable period, a continuous operation period, a transferable number of times, and a rated operation power, and the operation parameters of the reducible load comprise a reducible period, a continuous operation time, and a rated operation power.

3. A local electricity market clearing system according to claim 1, characterized in that, The prediction data sending element is used to realize 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.

4. The local electricity market clearing system of claim 1, wherein, The terminal operation state monitoring element is used to realize the monitoring and control of the terminal operation state: In the monitoring of the terminal operation state, the operation state of the adjustable load device and the operation state of the communication device are monitored through the smart meter, and the abnormal alarm information is sent to the corresponding aggregator optimization declaration module of the device through the home gateway; In the control of the terminal operation state, the control instruction sent by the corresponding aggregator optimization declaration module is received through the home gateway, and the control instruction is executed through the smart meter and the smart home system.

5. The local electricity market clearing system of claim 1, wherein, The local market transaction information communication element is used to realize the following functions: The transaction data is received through the private communication link, wherein the transaction data comprises the local electric energy market iterative price, the optimal allocation power, and the settlement price; the bidding power of the aggregator participating in the local electric energy transaction is sent through the private communication link; wherein the transaction data and the bidding data are stored in the aggregator private cloud.

6. A local electricity market clearing system according to claim 1, characterized in that, The establishment steps of the flexible resource economic aggregation model comprise: The optimal model is established by taking the minimization of the power purchase cost of the aggregator as the target and considering the adjustable load operation constraint, namely: In the formula, Indicates the first k The local electricity market price vector during the round-clock iteration; Indicates the load aggregator in the first... k The local market reported electricity volume vector during the round-clock iteration; Indicates the load aggregator in the first... k Agent fixed load in round clock iteration i Declared power vector This indicates the number of fixed loads represented by the load aggregator; Indicates the load aggregator in the first... k Agent transferable load during round clock iteration i The declared power vector, Indicates the number of loads that the load aggregator can transfer; Indicates the load aggregator in the first... k In the round clock iteration, the agent can reduce the load. i Declared power vector This indicates the number of loads that can be reduced on behalf of the load aggregator; Indicates the load aggregator in the first... k In the round-clock iteration, the distributed photovoltaic power reporting vector is proxied. This indicates the number of distributed photovoltaic (PV) systems handled by the load aggregator. The adjustable load operation constraint is linearly processed.

7. The local electricity market clearing system of claim 1, wherein, The aggregator information communication element is used to realize 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. The local electricity market clearing system of claim 1, wherein, The working mode of the local electric energy market settlement model comprises: 1) Calculate total market transaction costs under optimal allocation based on final round sealed bid offers ; 2) Calculate the transaction cost of each aggregator under the optimal allocation ; 3) Calculate the market total transaction cost under the local market optimal allocation when the aggregator exits the local market transaction ;​ 4) Calculate the Vickrey payment price of the aggregator , which is calculated as .

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