Method, device and storage medium for determining virtual resources in dual-layer power sharing transactions

Abstract

This invention discloses a method, apparatus, and storage medium for determining virtual resources in a two-tier power sharing transaction. The method can acquire multiple participants in a two-tier power sharing transaction in a distribution network, as well as the transferred virtual resources of these participants; based on these transferred virtual resources, determine the initial bidding results for the multiple participants; input these initial bidding results into the participants' bidding decision model for analysis to obtain the target bidding strategies for the multiple participants; execute the target bidding strategies on the multiple participants to obtain the target bidding results for the multiple participants; and based on the target bidding results, determine the target virtual resources for the participants. This invention solves the technical problem that participants cannot effectively determine virtual resources in a two-tier power sharing transaction.

Description

Technical Field

[0001] This invention relates to the field of virtual resource technology, and more specifically, to a method, apparatus, and storage medium for determining virtual resources in a two-tiered electricity sharing transaction. Background Technology

[0002] In the distribution network, the process of allocating electricity to operators is often achieved through the electricity sharing and trading mechanism. However, the above method does not distribute the benefit deviation of individual operators among other individuals within the distribution network, resulting in the phenomenon that the actual cost to be allocated cannot be fully allocated or is over-allocated. This leads to the technical problem that participants cannot effectively determine virtual resources in the two-level electricity sharing and trading.

[0003] There is currently no effective solution to the technical problem that the participants cannot effectively determine virtual resources in the two-tier electricity sharing transaction. Summary of the Invention

[0004] This invention provides a method, apparatus, and storage medium for determining virtual resources in a two-tier power sharing transaction, thereby at least solving the technical problem that participants cannot effectively determine virtual resources in a two-tier power sharing transaction.

[0005] According to one aspect of the invention, a method for determining virtual resources in a two-tier power sharing transaction is provided. The method may include: acquiring multiple participants in a two-tier power sharing transaction in a distribution network, and the transferable virtual resources of the participants, wherein the participants are electricity sellers or electricity buyers, and the electricity sellers or buyers engage in power transactions with a target participant (other than the participating participants) among the multiple participants; determining initial bidding results for the multiple participants based on the multiple transferable virtual resources, wherein the initial bidding results characterize the bidding status of the participants; inputting the multiple initial bidding results into a bidding decision model for the participants for analysis to obtain target bidding strategies for the multiple participants, wherein the target bidding strategies characterize the rules for allocating power to the participants, and the bidding decision model is constructed using a target function of the participants as the decision objective, the target function characterizing the virtual resources that the participants expect to obtain in the two-tier power sharing transaction; executing the target bidding strategies on the multiple participants to obtain target bidding results for the multiple participants; and determining the target virtual resources of the participants based on the target bidding results.

[0006] Optionally, based on multiple transferred virtual resources, the initial winning bid results for multiple participating entities are determined, including: classifying the multiple participating entities separately to obtain classification results, wherein the classification results are used to characterize the participating entities as new business participants or as other participating entities besides new business participants; and determining the initial winning bid results based on the classification results and the transferred virtual resources.

[0007] Optionally, based on the classification results and the transfer of virtual resources, the initial winning bid result is determined, including: in response to the classification result indicating that the participating entity is a new type of business participant, obtaining the first electricity trading declaration quantity and the second electricity trading declaration quantity of the new type of business participant, wherein the first electricity trading declaration quantity is greater than the second electricity trading declaration quantity; determining the difference between the first and second electricity trading declaration quantities as the first bid value of the new type of business participant; and determining the initial winning bid result based on the first bid value and the transfer of virtual resources.

[0008] Optionally, based on the classification results and the transfer of virtual resources, the initial winning bid result is determined, including: in response to the classification result indicating that the participating object is another participating object, obtaining the target operating status and power supply and demand information of the other participating object, wherein the target operating status is that the other participating object is in normal operation; based on the target operating status and power supply and demand information, determining the bidding signal of the other participating object, wherein the bidding signal is used to characterize the bid value of the transaction volume and the bid value of the transaction value attribute generated by the other participating object in the case of power trading; and in response to the bidding signal, determining the initial winning bid result based on the transfer of virtual resources.

[0009] Optionally, multiple initial bidding results are input into the bidding decision model of the participating entities for analysis to obtain multiple target bidding strategies for the participating entities. This includes: based on multiple initial bidding results, using the first constraint, second constraint, and third constraint of the participating entities to constrain the bidding decision model and obtain the target bidding strategy. The first constraint is used to constrain the transaction volume of the participating entities' electricity trading, the second constraint is used to constrain the transmission capacity of the lines in the area where the participating entities are located, and the third constraint is used to constrain the energy storage capacity of the participating entities.

[0010] Optionally, based on the target bidding result, the target virtual resources of the participating entities are determined, including: inputting the target bidding result into the settlement model of the participating entities for analysis to obtain the target virtual resources.

[0011] Optionally, the method further includes: determining the participation type of the participating object based on the transferred virtual resources; determining the participation type as an electricity sales object in response to a positive resource quantity corresponding to the transferred virtual resources; and determining the participation type as an electricity purchase object in response to a negative resource quantity corresponding to the transferred virtual resources.

[0012] According to one aspect of the present invention, a virtual resource determination device for a two-tier power sharing transaction is provided. The device includes: an acquisition unit, configured to acquire multiple participants in a two-tier power sharing transaction in a distribution network, and the transfer virtual resources of the participants, wherein the participants are electricity sellers or electricity buyers, and the electricity sellers or buyers engage in power transactions with a target participant among the multiple participants, excluding the target participant; a first determination unit, configured to determine the initial winning bid results of the multiple participants based on the multiple transfer virtual resources, wherein the initial winning bid results are used to characterize the winning bid status of the participants; and a calling unit, configured to... Multiple initial winning bid results are input into the winning bid decision model of the participating objects for analysis, resulting in target winning bid strategies for multiple participating objects. The target winning bid strategy is used to characterize the rules for allocating electricity to the participating objects. The winning bid decision model is constructed by using the objective function of the participating objects as the decision objective. The objective function is used to characterize the virtual resources that the participating objects expect to obtain in participating in the two-tier electricity sharing transaction. An execution unit is used to execute the target winning bid strategy on multiple participating objects to obtain the target winning bid results for multiple participating objects. A second determination unit is used to determine the target virtual resources of the participating objects based on the target winning bid results.

[0013] According to another aspect of the present invention, a computer-readable storage medium is also provided, the computer-readable storage medium including a stored program, wherein the program, when run by a processor, controls the device where the storage medium is located to execute the method of the present invention.

[0014] According to another aspect of the present invention, a processor is also provided for running a program, wherein the program executes the methods of the present invention during runtime.

[0015] According to another aspect of the present invention, a computer program product is also provided, including a computer program that, when executed by a processor, implements the method of the present invention.

[0016] According to another aspect of the present invention, an electronic device is also provided, comprising a processor and a memory for storing processor-executable instructions. The processor is configured to execute instructions to implement the methods of the embodiments of the present invention.

[0017] In this embodiment of the invention, multiple participating objects in a two-tier power sharing transaction in a distribution network, and the transferable virtual resources of the participating objects are obtained. The participating objects are either electricity sellers or electricity buyers, and these sellers or buyers engage in power transactions with a target participating object (excluding the participating object) among the multiple participating objects. Based on the multiple transferable virtual resources, initial bidding results for the multiple participating objects are determined, whereby the initial bidding results characterize the bidding status of the participating objects. The multiple initial bidding results are input into the bidding decision model of the participating objects for analysis to obtain the target bidding strategies for the multiple participating objects. The target bidding strategies characterize the rules for allocating power to the participating objects, and the bidding decision model is constructed using the objective function of the participating objects as the decision objective. The objective function characterizes the virtual resources that the participating objects expect to obtain in participating in the two-tier power sharing transaction. The target bidding strategies are executed on the multiple participating objects to obtain the target bidding results for the multiple participating objects. Based on the target bidding results, the target virtual resources of the participating objects are determined. In other words, this embodiment of the invention can first obtain multiple participants in a two-tier power sharing transaction in the distribution network, as well as the transferred virtual resources of these participants. Based on the obtained transferred virtual resources, the initial bidding results of the multiple participants can be determined. Then, the initial bidding results are input into the bidding decision model of the participants for analysis to obtain the target bidding strategy for the multiple participants. Executing the target bidding strategy on the multiple participants yields the target bidding results for the multiple participants. Finally, based on the obtained target bidding results, the target virtual resources of the participants can be determined. Considering that after obtaining the transferred virtual resources of the participants, the initial bidding results of the multiple participants can be determined based on these multiple transferred virtual resources, and then the obtained initial bidding results are input into the bidding decision model of the participants for analysis to obtain the target bidding strategy, and the target bidding strategy is executed on the multiple participants, the target bidding results are obtained, and the target virtual resources of the participants are determined. This solves the technical problem that participants cannot effectively determine virtual resources in a two-tier power sharing transaction, and achieves the technical effect that participants can effectively determine virtual resources in a two-tier power sharing transaction. Attached Figure Description

[0018] The accompanying drawings, which are included to provide a further understanding of the invention and form part of this invention, illustrate exemplary embodiments of the invention and are used to explain the invention, but do not constitute an undue limitation of the invention. In the drawings:

[0019] Figure 1 This is a flowchart of a method for determining virtual resources in a two-tier energy sharing transaction according to an embodiment of the present invention;

[0020] Figure 2This is a schematic diagram of an energy sharing transaction according to an embodiment of the present invention;

[0021] Figure 3 This is a schematic diagram of a distribution network topology according to an embodiment of the present invention.

[0022] Figure 4 This is a schematic diagram of a virtual resource determination device for a two-layer power sharing transaction according to an embodiment of the present invention. Detailed Implementation

[0023] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0024] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0025] According to an embodiment of the present invention, a method for determining virtual resources in a two-tier electricity sharing transaction is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0026] The following describes the method for determining virtual resources in a two-tier energy sharing transaction according to an embodiment of the present invention.

[0027] Figure 1 This is a flowchart of a virtual resource determination method for a two-tier energy sharing transaction according to an embodiment of the present invention, such as... Figure 1 As shown, the method for determining virtual resources in this two-tier energy sharing transaction may include the following steps:

[0028] Step S101: Obtain multiple participants in the two-layer power sharing transaction in the distribution network, as well as the virtual resources transferred by the participants.

[0029] In the technical solution provided by step S101 of the present invention, multiple participants in a two-layer power sharing transaction in a distribution network, as well as the virtual resources transferred by the participants, can be obtained. The participants are either electricity sellers or electricity buyers, and these sellers or buyers engage in power transactions with a target participant (other than the target participant) among the multiple participants.

[0030] Optionally, the two-tiered electricity sharing transaction can be called energy sharing transaction. The electricity seller can be called the electricity seller. The electricity buyer can be called the electricity buyer. Participants can be entities within the distribution network's sharing transaction platform, and these entities can be independent individuals within the energy sharing transaction platform. The transferred virtual resources can be funds transferred to participants; for example, acquiring multiple funds transferred to participants, and this can be done through (φ1, φ2, φ...). n ) is used to represent.

[0031] For example, Figure 2 This is a schematic diagram of an energy-sharing transaction according to an embodiment of the present invention, such as... Figure 2 As shown, the participants in energy-sharing transactions are independent individuals, including: new business entities, producers and sellers (including wind power producers and sellers and photovoltaic producers and sellers), electric vehicle clusters, energy storage, and distributed power sources. Assume there are n participants, i = 1, 2, ..., n, N = {1, 2, ..., n}. These participants are rational and intelligent, and can interact and make decisions to gradually reach a collective consensus. Furthermore, the power trading center can conduct electricity transactions or ancillary service transactions with new business entities, power generation companies, electricity sales companies, and electricity users.

[0032] Step S102: Based on multiple transferred virtual resources, determine the initial winning bid results for multiple participating entities.

[0033] In the technical solution provided by step S102 of the present invention, after obtaining multiple transferred virtual resources, the initial bidding results of multiple participating objects can be determined. The initial bidding results are used to characterize the bidding status of the participating objects, and the initial bidding results of multiple participating objects can be determined through (y1, y2, y...). n ) is used to represent.

[0034] For example, a typical scheme for energy exchange among multiple buyers and sellers can be represented as x = {y1, y2, ... y}. n ,φ1,φ2,…φ n}. Where (y1, y2, y n (φ1, φ2, ... φ) is used to indicate the winning bid status of participating entities;n ) is used to represent funds transferred to participating entities. If φ i If the value is greater than 0, it means that the funds received by subject i are φ. i In this case, i represents the electricity seller; otherwise, it means that the funds spent by entity i are |φ. i | where i is the electricity purchaser. The set X consisting of all feasible solutions is called the alternative solution set, and can be represented as follows:

[0035]

[0036] It should be noted that this is only a preferred embodiment for determining the initial winning bid results of multiple participating objects. The process and method for determining the initial winning bid results of multiple participating objects are not specifically limited. As long as the method and process for determining the initial winning bid results of multiple participating objects based on multiple transferred virtual resources are within the protection scope of this invention, they will not be listed here.

[0037] Step S103: Input multiple initial winning bid results into the winning bid decision model of the participating objects for analysis to obtain the target winning bid strategies of multiple participating objects.

[0038] In the technical solution provided by step S103 of the present invention, after obtaining multiple initial bidding results, the multiple initial bidding results can be input into the bidding decision model of the participating objects for analysis, so as to obtain the target bidding strategy of multiple participating objects. The target bidding strategy is used to characterize the rules for allocating electricity to the participating objects, and the bidding decision model is used to construct the model by taking the objective function of the participating objects as the decision objective. The objective function is used to characterize the virtual resources that the participating objects expect to obtain in participating in the two-level electricity sharing transaction.

[0039] Optionally, the bidding decision model takes maximizing social welfare as its objective function, and the decision variables are the actual amount of bids won by each participating entity and the degree of network congestion. In the objective function, social welfare f... so This represents the sum of the seller's surplus and the buyer's surplus, or the difference between the buyer's offer and the seller's asking price. However, when the prices for both buyers and sellers are the same, there is no impact on social welfare, and to ensure such transactions are completed, a penalty term f is added to the objective function. pu The collection of energy storage in the shared transaction is represented by Ω. ES Let k be the index within its set. Then the objective function can be expressed by the following formula:

[0040]

[0041] In the above formula, t serves as a time index to represent the bidding period; T represents the total bidding period. P k,t / ξ k,t / yk,t These are used to represent the bidding volume, bidding price, and winning bid status for energy storage power trading, respectively. ε is a sufficiently small positive number, and N... B / N S These represent the total number of buyers and sellers, respectively.

[0042] It should be noted that this is only a preferred implementation of obtaining the target winning strategy for multiple participants. The process and method of obtaining the target winning strategy for multiple participants are not specifically limited. As long as the process and method of inputting multiple initial winning results into the winning decision model for analysis in order to obtain the target winning strategy are within the protection scope of this invention, they will not be listed here.

[0043] Step S104: Execute the target winning strategy for multiple participating entities to obtain the target winning results for multiple participating entities.

[0044] In the technical solution provided by step S104 of the present invention, a target bidding strategy can be executed on multiple participating objects in order to obtain the target bidding results of multiple participating objects. The economic benefits generated by the multiple participating objects in the target bidding results are higher than the economic benefits generated by the multiple participating objects in the initial bidding results.

[0045] For example, after obtaining the target winning strategy, the target winning strategy can be implemented on multiple participating entities to obtain the final winning results of multiple participating entities, so that the economic benefits generated by multiple participating entities are maximized at this time.

[0046] Step S105: Based on the target bidding results, determine the target virtual resources of the participating entities.

[0047] In the technical solution provided by step S105 of the present invention, the target virtual resources of the participating object can be determined based on the target winning bid result obtained above, wherein the target virtual resources can be the economic benefits of the participating object.

[0048] Optionally, based on the obtained target bidding results, different target virtual resources can be determined for each participating entity according to its participation type. For example, when the participating entity is an electricity seller, the target virtual resource is the revenue from selling surplus electricity; when the participating entity is an electricity buyer, the target virtual resource is the benefit obtained through a utility function.

[0049] It should be noted that this is only a preferred embodiment for determining the target virtual resources of the participants, and the process and method for determining the target virtual resources of the participants are not specifically limited. As long as the process and method for determining the target virtual resources of the participants can be based on the target bidding results, they are all within the protection scope of this invention, and will not be listed here.

[0050] In steps S101 to S105 of this invention, multiple participants in a two-tiered power sharing transaction in a distribution network and their transferred virtual resources are first obtained. Based on these transferred virtual resources, the initial bidding results for the participants are determined. These initial bidding results are then input into the participants' bidding decision model for analysis to obtain their target bidding strategies. Executing these target strategies on the participants yields their target bidding results. Finally, based on these target bidding results, the participants' target virtual resources are determined. Since the initial bidding results for multiple participants can be determined after obtaining their transferred virtual resources, and then inputted into their bidding decision model for analysis to obtain target bidding strategies, and executed on these strategies, the target bidding results are obtained, thus achieving the goal of determining the participants' target virtual resources. This solves the technical problem of participants being unable to effectively determine virtual resources in a two-tiered power sharing transaction, and achieves the technical effect of enabling participants to effectively determine virtual resources in a two-tiered power sharing transaction.

[0051] The method described in this embodiment will be further described below.

[0052] As an optional implementation method, the initial bidding results of multiple participating objects are determined based on multiple transferred virtual resources, including: classifying the multiple participating objects separately to obtain classification results, wherein the classification results are used to characterize the participating objects as new business participants or as other participating objects besides new business participants; and determining the initial bidding results based on the classification results and the transferred virtual resources.

[0053] In this embodiment, after obtaining multiple participating objects, the multiple participating objects can be classified to obtain classification results, thereby determining the initial winning bid result based on the classification results and the transfer of virtual resources.

[0054] Optionally, the multiple participants can be divided into two categories: one is new business participants, and the other is other participants besides new business participants.

[0055] Optionally, based on different classification results of multiple participating objects and the transfer virtual resources corresponding to the participating objects, different calculation methods can be used to obtain the initial winning bid result.

[0056] As an optional implementation method, the initial winning bid result is determined based on the classification result and the transfer of virtual resources, including: in response to the classification result indicating that the participating object is a new type of business participant, obtaining the first electricity trading declaration quantity and the second electricity trading declaration quantity of the new type of business participant, wherein the first electricity trading declaration quantity is greater than the second electricity trading declaration quantity; determining the difference between the first electricity trading declaration quantity and the second electricity trading declaration quantity as the first bid value of the new type of business participant; and determining the initial winning bid result based on the first bid value and the transfer of virtual resources.

[0057] In this embodiment, after obtaining the classification result, if the classification result indicates that the participant is a new type of business participant, it is necessary to obtain the first electricity transaction declaration quantity and the second electricity transaction declaration quantity of the new type of business participant. Then, the difference between the first and second electricity transaction declaration quantities is determined as the first bid value of the new type of business participant. Based on the obtained first bid value and the transferred virtual resources, the initial winning bid result can be determined. Here, the new type of business participant can be referred to as a new type of business entity.

[0058] Optionally, the first electricity trading declaration volume can be the electricity trading declaration volume for a new type of business participant performing all services, and through... The second electricity trading declaration volume can be the electricity trading declaration volume for new business participants performing ancillary services, and can be expressed through... The first bid value can be represented by P. NM,t To express.

[0059] For example, given that the new type of business entity has a dual role, its type in shared transactions is related to its electricity declaration volume in both the electricity service and ancillary service markets. The bid value P of the new type of business entity... NM,t It can be expressed by the following formula:

[0060]

[0061] As an optional implementation method, determining the initial winning bid result based on the classification result and the transfer of virtual resources includes: in response to the classification result indicating that the participating object is another participating object, obtaining the target operating status and power supply and demand information of the other participating object, wherein the target operating status is that the other participating object is in normal operation; determining the bidding signal of the other participating object based on the target operating status and power supply and demand information, wherein the bidding signal is used to characterize the bid value of the transaction volume and the bid value of the transaction value attribute generated by the other participating object in the case of power trading; and determining the initial winning bid result based on the transfer of virtual resources in response to the bidding signal.

[0062] In this embodiment, if the classification result indicates that the participating object is another participating object, the target operating status and power supply and demand information of the other participating objects can be obtained. Based on the obtained target operating status and power supply and demand information, the bidding signals of the other participating objects can be determined. Based on these bidding signals, the bid value of the participating object can be determined. Based on the bid value and the transfer of virtual resources, the initial winning bid result is determined. The power supply and demand information includes the power supply and demand relationship of the participating object itself.

[0063] Optionally, the bidding signal can be transmitted via θ i Let θ be represented as θ i ={P i ,ξ i In the above formula, P i Used to represent the bid value of subject i for the transaction volume, when P i When P > 0, entity i is the electricity seller; otherwise, when P > 0, entity i is the electricity seller. i When <0, subject i is the electricity purchaser. ξ i This represents the bid value of entity i for the electricity trading price. Entity i knows its own θ. i The value of θ, but other entities do not know it. i The value of θ, therefore θ i The type referred to as the subject.

[0064] As an optional implementation method, multiple initial bidding results are input into the bidding decision model of the participating objects for analysis to obtain the target bidding strategies of multiple participating objects. This includes: based on multiple initial bidding results, using the first constraint condition, second constraint condition and third constraint condition of the participating objects to constrain the bidding decision model to obtain the target bidding strategy. The first constraint condition is used to constrain the transaction volume of the electricity trading of the participating objects, the second constraint condition is used to constrain the transmission capacity of the lines in the area where the participating objects are located, and the third constraint condition is used to constrain the energy storage capacity of the participating objects.

[0065] In this embodiment, based on multiple initial bidding results, the first, second, and third constraints of the participating objects can be used to constrain the bidding decision model, thereby achieving the goal of obtaining the target bidding strategy.

[0066] Optionally, the first constraint can be called a constraint on the cumulative transaction volume of both buyers and sellers. For example, the first constraint ensures that the cumulative transaction volume of both buyers and sellers does not exceed their own order volume, and can be expressed by the following formula:

[0067]

[0068]

[0069] Among them, P bs,t This is used to represent the amount of electricity sold by seller s to buyer b at time t. P is used to represent the amount of electricity sold by the energy storage system to buyer b at time t. b,t Used to represent the amount of electricity declared by buyer b at time t. P is used to represent the amount of electricity sold from the energy storage system to the seller s at time t. s,t Used to indicate the amount of electricity declared by the seller.

[0070] Optionally, the second constraint can be called the line transmission constraint, and is expressed by the following formula:

[0071]

[0072]

[0073] In the above formula, f lt Let be the transmission capacity of line l at time t. T represents the maximum transmission capacity of line l. sl,t / T bl,t / T kl,t These are used to represent the allocation factors of the lines. Since this invention only considers radial networks, the values ​​can be {0,1}. And let T... sl,t For example, line l is 1 when it is on the line of a trading pair consisting of individuals bs or bk, and 0 otherwise.

[0074] Optionally, the third constraint can be referred to as the constraint for energy storage operation, and is expressed by the following formula:

[0075]

[0076]

[0077]

[0078] In the above formula, These can be represented as the minimum and maximum capacity of energy storage k, respectively. Q is used to represent the amount of electricity purchased by energy storage k from the grid. k,t-1 Used to represent the amount of energy stored in k at time t-1.

[0079] As an optional implementation method, the target virtual resources of the participating objects are determined based on the target bidding results, including: inputting the target bidding results into the settlement model of the participating objects for analysis to obtain the target virtual resources.

[0080] In this embodiment, after obtaining the target bidding result, it can be input into the settlement model of the participating entities for analysis, thereby obtaining the target virtual resources. The target virtual resources can represent the total benefit of the participating entities at this time, and can be determined by the total funds transferred to the participating entities, for example, the amount φ transferred to entity i. i This can be expressed as the total benefit of all other subjects in the optimal bidding scenario when subject i appears, minus the total benefit of all other subjects in the optimal bidding scenario when subject i does not appear.

[0081] Optionally, the settlement model can be referred to as a specific model for the funds settlement stage, and can be expressed by the following formula:

[0082]

[0083] In the above formula, y is used to represent the sum of the optimal benefits of all agents participating in energy exchange. * This is used to represent the optimal bid-winning situation for each agent type θ. i (y i * ,θ i This is used to represent the benefits of agent i in the best bidding scenario, including the benefits of agent i providing services to other agents and its own operating costs. y is used to represent the sum of the optimal benefits of all agents after removing agent i. -i * This indicates that after dividing by i, the agent type is θ. -i The optimal bidding outcome is determined by optimizing a shared operation bidding decision model under network congestion.

[0084] Optionally, in response to a first target bidding result where the participant is an electricity seller and the target bidding result is a first target virtual resource, the target virtual resource is determined as a first target virtual resource; in response to a second target bidding result where the participant is an electricity buyer and the target bidding result is a second target virtual resource, the target virtual resource is determined as a second target virtual resource using a virtual resource function. The virtual resource function can be referred to as the Cobb-Douglas utility function.

[0085] For example, apart from new types of business entities, when a participating entity is an electricity seller in an energy-sharing transaction, its benefit is the revenue from selling surplus electrical energy resources, which can be expressed by the following formula:

[0086]

[0087] In the above formula, Ω B Used to represent the set of electricity purchasers in an energy-sharing transaction. Pbs This is used to indicate the amount of electricity purchased by power purchaser b from power seller s. It can be used to represent the total amount of electricity purchased in the direction of electricity purchase 's'.

[0088] For another example, when the participant in an energy-sharing transaction is the electricity purchaser, its benefits are represented using the Cobb-Douglas utility function; when the electricity purchaser is a producer or consumer or a cluster of electric vehicles, its necessary electricity demand is considered, along with the dissatisfaction cost when resources are mismatched, which can be expressed by the following formula:

[0089]

[0090] In the above formula, Ω S It can be used to represent the set of electricity sellers in energy-sharing transactions. It can be used to represent the total amount of electricity sold in the electricity sales direction b. A can be used to represent the comprehensive technology level constant, which is taken as 1. β can be used to represent the output elasticity coefficient of labor. μ can be used to represent random disturbance information; ES, EV, and Pro represent energy storage, electric vehicle clusters, and producers and sellers, respectively.

[0091] As an optional embodiment, the method further includes: determining the participation type of the participating object based on the transferred virtual resources; determining the participation type as an electricity sales object in response to a positive resource quantity corresponding to the transferred virtual resources; and determining the participation type as an electricity purchase object in response to a negative resource quantity corresponding to the transferred virtual resources.

[0092] In this embodiment, after obtaining the transferred virtual resources, the participation type of the participating object can be determined based on the value corresponding to the transferred virtual resources. If the resource quantity corresponding to the transferred virtual resources is positive, the participating object can be determined to be an electricity sales object; if the resource quantity corresponding to the transferred virtual resources is negative, the participating object can be determined to be an electricity purchase object. The resource quantity corresponding to the transferred virtual resources can be represented by a numerical value.

[0093] For example, if transferring virtual resources φ i If φ > 0, it can be said that the funds received by subject i are φ. i In this case, i represents the electricity seller; otherwise, it means that the funds spent by entity i are φ. i Here, i represents the electricity purchaser. It should be noted that this is merely a preferred embodiment for determining the participation type of the participating entity, and the process and method for determining the participation type of the participating entity are not specifically limited.

[0094] In this embodiment, multiple participants in the two-tier power sharing transaction in the distribution network and their transferred virtual resources can be obtained first. Based on these transferred virtual resources, the initial bidding results for the participants can be determined. These initial bidding results are then input into the participants' bidding decision model for analysis to obtain their target bidding strategies. Executing these target strategies on the participants yields their target bidding results. Finally, based on these target bidding results, the participants' target virtual resources can be determined. Since the initial bidding results for the participants can be determined after obtaining their transferred virtual resources, and then inputted into their bidding decision model for analysis to obtain target bidding strategies, and executed on these strategies, the target bidding results are obtained, thus achieving the goal of determining the participants' target virtual resources. This solves the technical problem of participants being unable to effectively determine virtual resources in two-tier power sharing transactions, and achieves the technical effect of enabling participants to effectively determine virtual resources in two-tier power sharing transactions.

[0095] The technical solutions of the embodiments of the present invention will be illustrated below with reference to preferred embodiments.

[0096] With the continuous development of new power systems and the gradual decrease in the proportion of traditional hydropower and thermal power units, the control mode of power systems that rely on the flexible adjustment capabilities of conventional units is facing the difficulty of insufficient adjustable resources. It is necessary to explore more flexible resources that can support the power grid in order to maintain the safe operation of the power system itself.

[0097] In terms of distributed heterogeneous resource operation strategies, traditional approaches have involved extensive research on energy sharing in areas such as energy storage, electric vehicles, microgrids, multi-energy systems, and virtual power plants. Based on the external characteristics of flexible resources, different types of flexible resources possess different service capabilities. However, with the massive influx of distributed renewable energy and the increasing demands of diverse users, coupled with the continuous development of energy internet technology, heterogeneous entities can improve operational efficiency through a revenue-sharing and risk-sharing decision-making approach.

[0098] In the process of allocating electricity to operators, the electricity sharing and trading mechanism is often used. However, the above method does not distribute the benefit deviation of individual operators among other individuals within the distribution network, resulting in the phenomenon that the actual cost to be allocated cannot be fully allocated or is over-allocated. This leads to the technical problem that participants cannot effectively determine virtual resources in the two-level electricity sharing and trading.

[0099] Therefore, to address the aforementioned issues, this invention proposes a method for determining a novel two-tiered trading model for adjustable resources. This method operates within a shared trading center, determining the regional shared service market trading price and matching rules based on the adjustment needs of each entity and shared market electricity price information, ensuring fairness in electricity trading among various entities. The shared trading platform conducts two rounds of bidding and resource matching for electricity matching within the same time period to clarify price signals. To effectively reflect the differences in adjustment needs and service capabilities among various entities, based on the principle of "whoever provides the service receives the revenue" and "whoever receives the revenue bears the cost," the method differentiates characteristic differences through varying resource bidding quantities, taking into account the impact of line transmission capacity on adjustment costs and the impact of adjustment service capabilities on revenue. A flexible and adjustable resource sharing operation value allocation mechanism is proposed, mainly comprising three stages: bidding, winning bid decision, and fund settlement.

[0100] Optionally, during the bidding stage: Figure 2 As shown, the participants are independent entities in energy-sharing transactions, including new business entities, producers and sellers, electric vehicle clusters, energy storage, and distributed power sources. The strategy set is a typical scheme for energy mutual assistance among multiple buyers and sellers, and the collection of all feasible schemes is called the alternative scheme set. Before making a collective decision, each resource knows its trading volume and price preferences in the sharing transaction. This can be seen as the entities determining their bidding signals by observing their own electricity supply and demand relationship and operating conditions.

[0101] Optionally, in the bidding decision-making stage: the winning bid decision model uses maximizing social welfare as the objective function, with the decision variables being the actual winning bid amount for each entity and taking into account line network congestion. In the objective function, social welfare is the sum of the seller's surplus and the buyer's surplus, which can also be expressed as the difference between the buyer's offer and the seller's asking price. The shared operation winning bid decision model also faces constraints such as the cumulative transaction volume of both buyers and sellers not exceeding their own declared volume, line transmission constraints, and energy storage operation constraints.

[0102] Optionally, in the fund settlement stage: fund settlement is based on the Clark mechanism, where the amount of money transferred to subject i is represented as the total benefit of all other subjects in the optimal bidding situation when subject i appears, minus the total benefit of all other subjects in the optimal bidding situation when subject i does not appear; mathematical modeling is used to calculate the individual benefits of the new type of operating subject. In addition to the new type of operating subject, when the participating subject is the electricity seller in the energy sharing transaction, its benefit is the revenue from selling surplus electricity resources; when the participating subject is the electricity buyer in the energy sharing transaction, its benefit is represented by the Cobb-Douglas utility function.

[0103] Optionally, the bidding stage includes: determining the participating entities, strategy sets, and participation types of the participating entities. Determining the participating entities involves identifying independent individuals within the energy-sharing transaction, including: new business entities, producers and sellers (including wind power producers and sellers and photovoltaic producers and sellers), electric vehicle clusters, energy storage, and distributed power sources. Assuming there are n participating entities, i = 1, 2, ..., n, N = {1, 2, ..., n}, these entities are rational, intelligent, and capable of interactive decision-making to gradually reach a collective decision. Furthermore, the power trading center can conduct power transactions with new business entities, power generation companies, power sales companies, and power users.

[0104] Optionally, determine the strategy set: a typical scheme for energy exchange among multiple buyers and sellers can be represented as x = {y1, y2, ... y}. n ,φ1,φ2,…φ n}. Where (y1, y2, ... y n (φ1, φ2, ... φ) is used to indicate the winning bid status of participating entities; n ) is used to represent funds transferred to participating entities. If φ i If the value is greater than 0, it means that the funds received by subject i are φ. i In this case, i represents the electricity seller; otherwise, it means that the funds spent by entity i are φ. i Here, i is the electricity purchaser. The set X consisting of all feasible solutions is called the alternative solution set, and can be represented as follows:

[0105]

[0106] Optionally, the participation type of the participating entities can be determined: Before making a collective decision, each type of resource knows its trading volume and price preferences in the shared transaction. This can be seen as entity i determining its bidding signal θ by observing its own electricity supply and demand relationship and operating conditions. i , and θ i ={P i ,ξ i}. Among them, P i Used to represent the bid value of subject i for the transaction volume, when P i When P > 0, entity i is the electricity seller; otherwise, when P > 0, entity i is the electricity seller. i When <0, subject i is the electricity purchaser. ξ i This represents the bid value of entity i for the electricity trading price. Entity i knows its own θ. i The value of θ, but other entities do not know it. i The value of θ, therefore θ i The type referred to as the subject.

[0107] Optionally, given that the new type of business entity has a dual role, its type in shared transactions is related to its electricity declaration volume in the electricity service and ancillary service markets, and the bid value P of the new type of business entity... NM,t It can be expressed by the following formula:

[0108]

[0109] In this embodiment of the invention, the bidding decision-making stage includes: the winning bid decision model uses maximizing social welfare as the objective function, and the decision variables are the actual number of bids won by each participating entity and the degree of network congestion. The social welfare f in the objective function... so This represents the sum of the seller's surplus and the buyer's surplus, or the difference between the buyer's offer and the seller's asking price. However, when the prices for both buyers and sellers are the same, there is no impact on social welfare, and to ensure such transactions are completed, a penalty term f is added to the objective function. pu The collection of energy storage in the shared transaction is represented by Ω. ES Let k be the index within its set. Then the objective function can be expressed by the following formula:

[0110]

[0111] In the above formula, t serves as a time index to represent the bidding period; T represents the total bidding period. P k,t / ξ k,t / y k,t These are used to represent the bidding volume, bidding price, and winning bid status for energy storage power trading, respectively. ε is a sufficiently small positive number, and N... B / N S These represent the total number of buyers and sellers, respectively.

[0112] Optionally, the winning bid decision model can be constrained by three constraints: the cumulative transaction volume of both buyers and sellers, the transmission line constraint, and the energy storage operation constraint. The cumulative transaction volume constraint means that the cumulative transaction volume of both buyers and sellers does not exceed their own bid volume, and can be expressed by the following formula:

[0113]

[0114]

[0115] Among them, P bs,t This is used to represent the amount of electricity sold by seller s to buyer b at time t. P is used to represent the amount of electricity sold by the energy storage system to buyer b at time t. b,t Used to represent the amount of electricity declared by buyer b at time t. P is used to represent the amount of electricity sold from the energy storage system to the seller s at time t.s,t Used to indicate the amount of electricity declared by the seller.

[0116] Alternatively, the constraints of line transmission can be expressed by the following formula:

[0117]

[0118]

[0119] In the above formula, f lt Let be the transmission capacity of line l at time t. T represents the maximum transmission capacity of line l. sl,t / T bl,t / T kl,t These are used to represent the allocation factors of the lines. Since this invention only considers radial networks, the values ​​can be {0,1}. And let T... sl,t For example, line l is 1 when it is on the line of a trading pair consisting of individuals bs or bk, and 0 otherwise.

[0120] Alternatively, the constraints for energy storage operation can be expressed by the following formula:

[0121]

[0122]

[0123]

[0124] In the above formula, These can be represented as the minimum and maximum capacity of energy storage k, respectively. Q is used to represent the amount of electricity purchased by energy storage k from the grid. k,t-1 Used to represent the amount of energy stored in k at time t-1.

[0125] In this embodiment of the invention, the fund settlement stage may include: a specific model of the fund settlement stage, which can be represented by the following formula:

[0126]

[0127] In the above formula, y is used to represent the sum of the optimal benefits of all agents participating in energy exchange. * This is used to represent the optimal bid-winning situation for each agent type θ. i (y i * ,θ i This is used to represent the benefits of agent i in the best bidding scenario, including the benefits of agent i providing services to other agents and its own operating costs. y is used to represent the sum of the optimal benefits of all agents after removing agent i. -i * This indicates that after dividing by i, the agent type is θ. -i The optimal bidding outcome is determined by optimizing a shared operation bidding decision model under network congestion.

[0128] Alternatively, besides new types of business entities, when a participating entity is a power seller in energy-sharing transactions, its benefit is the revenue from selling surplus electrical energy resources, which can be expressed by the following formula:

[0129]

[0130] In the above formula, Ω B Used to represent the set of electricity purchasers in an energy-sharing transaction. P bs This is used to indicate the amount of electricity purchased by power purchaser b from power seller s. It can be used to represent the total amount of electricity purchased in the direction of electricity purchase 's'.

[0131] Optionally, when the participant is the electricity purchaser in the energy-sharing transaction, its benefits are represented using the Cobb-Douglas utility function; when the electricity purchaser is a producer or electric vehicle cluster, its necessary electricity demand is considered, and the dissatisfaction cost when resources are mismatched is addressed, which can be expressed by the following formula:

[0132]

[0133] In the above formula, Ω S Used to represent the set of electricity sellers in energy-sharing transactions. The total amount of electricity sold in direction b is represented by β. A represents the comprehensive technological level constant, set to 1. β represents the output elasticity coefficient of labor. μ represents random disturbance information; ES, EV, and Pro represent energy storage, electric vehicle clusters, and producers / sellers, respectively.

[0134] In an embodiment of the present invention, Figure 3 This is a schematic diagram of a distribution network topology according to an embodiment of the present invention, such as... Figure 3As shown, the schematic diagram of this distribution network topology includes: a new type of business entity, energy storage A, energy storage B, electric vehicles, producer-consumer C, and producer-consumer D. A case study is constructed using a node (IEEE-15) system. Node 1 connects to the distribution network, representing a new type of business entity connecting internal shared transactions with external power transactions. Node 2 represents a grid branch aggregation point. Node 3 represents energy storage A with a capacity of 300 kW / 500 kWh. Node 4 represents a grid branch aggregation point. Node 5 represents producer-consumer C. Node 6 represents a grid branch aggregation point. Node 7 represents an electric vehicle cluster. Nodes 8 and 9 represent grid branch aggregation points. Node 10 represents energy storage B with a capacity of 100 kW / 300 kWh. Nodes 11, 12, 13, 14, and 15 represent grid branch aggregation points. The maximum transmission capacity of all lines within the system is set to 300kW. The utility function Cobb-Douglas can be set according to different participant types as follows: energy storage (0.8 / 0.9), electric vehicles (0.7 / 0.75), and producers / distributors (0.75 / 0.8). The model uses an existing programming environment (MATLAB's yalmip) and is solved using a high-level genetic algorithm and solver (cplex12.10).

[0135] In this embodiment, complementary use of electricity is promoted while ensuring social welfare, and the supply and demand relationship in the bidding decision-making is most accurately represented. According to the multi-type entity value allocation mechanism, the contribution of energy storage to electricity sharing transactions during non-trading periods can be accurately identified, overcoming the limitation of traditional settlement methods that ignore the dynamic continuity of electricity over time due to the constraints of entity operation. Furthermore, it can accurately identify the contributions of various types of entities to electricity sharing transactions during non-trading periods, achieving efficient matching of resources and reasonable allocation of value, encouraging internal flexible resources to participate in sharing transactions and improving the level of regional power autonomy.

[0136] In this embodiment, multiple participants in the two-tier power sharing transaction in the distribution network and their transferred virtual resources can be obtained first. Based on these transferred virtual resources, the initial bidding results for the participants can be determined. These initial bidding results are then input into the participants' bidding decision model for analysis to obtain their target bidding strategies. Executing these target strategies on the participants yields their target bidding results. Finally, based on these target bidding results, the participants' target virtual resources can be determined. Since the initial bidding results for the participants can be determined after obtaining their transferred virtual resources, and then inputted into their bidding decision model for analysis to obtain target bidding strategies, and executed on these strategies, the target bidding results are obtained, thus achieving the goal of determining the participants' target virtual resources. This solves the technical problem of participants being unable to effectively determine virtual resources in two-tier power sharing transactions, and achieves the technical effect of enabling participants to effectively determine virtual resources in two-tier power sharing transactions.

[0137] According to embodiments of the present invention, a virtual resource determination device for two-tier energy sharing transactions is provided. It should be noted that this virtual resource determination device for two-tier energy sharing transactions can be used to execute one of the virtual resource determination methods for two-tier energy sharing transactions described in the embodiments.

[0138] Figure 4 This is a schematic diagram of a virtual resource determination device for a two-layer power sharing transaction according to an embodiment of the present invention, as shown below. Figure 4 As shown, a virtual resource determination device 400 for a two-layer power sharing transaction may include: an acquisition unit 401, a first determination unit 402, a calling unit 403, an execution unit 404, and a second determination unit 405.

[0139] The acquisition unit 401 is used to acquire multiple participants in the two-layer power sharing transaction in the distribution network, as well as the transfer virtual resources of the participants. The participants are either power sellers or power buyers, and the power sellers or power buyers conduct power transactions with a target participant other than the participating participants among the multiple participants.

[0140] The first determining unit 402 is used to determine the initial bidding results of multiple participating objects based on multiple transferred virtual resources, wherein the initial bidding results are used to characterize the bidding status of the participating objects.

[0141] Calling unit 403 is used to input multiple initial bidding results into the bidding decision model of the participating objects for analysis, and obtain multiple target bidding strategies of the participating objects. The target bidding strategy is used to characterize the rules for allocating electricity to the participating objects. The bidding decision model is used to construct the model by taking the objective function of the participating objects as the decision objective. The objective function is used to characterize the virtual resources that the participating objects expect to obtain in participating in the two-level electricity sharing transaction.

[0142] Execution unit 404 is used to execute the target winning strategy on multiple participating objects to obtain the target winning results of multiple participating objects.

[0143] The second determining unit 405 is used to determine the target virtual resources of the participating objects based on the target bidding results.

[0144] Optionally, the first determining unit 402 may include: a first obtaining module, used to classify multiple participating objects separately to obtain classification results, wherein the classification results are used to characterize the participating object as a new type of business participating object, or as other participating objects besides new type of business participating objects; and a determining module, used to determine the initial winning bid result based on the classification results and the transferred virtual resources.

[0145] Optionally, the determining module may include: a first acquisition submodule, used to acquire the first electricity trading declaration quantity and the second electricity trading declaration quantity of the new business participant in response to the classification result indicating that the participant is a new type of business participant; a first determining submodule, used to determine the difference between the first and second electricity trading declaration quantities as the first bid value of the new business participant; and a second determining submodule, used to determine the initial winning bid result based on the first bid value and the transferred virtual resources.

[0146] Optionally, the determining module may include: a second acquisition submodule, used to acquire the target operating status and power supply and demand information of other participating objects in response to the classification result indicating that the participating object is another participating object, wherein the target operating status is that the other participating object is in normal operation; a third determining submodule, used to determine the bidding signal of other participating objects based on the target operating status and power supply and demand information, wherein the bidding signal is used to characterize the bid value of the transaction volume and the bid value of the transaction value attribute generated by other participating objects in the case of power trading; and a fourth determining submodule, used to determine the initial winning bid result based on the transfer of virtual resources in response to the bidding signal.

[0147] Optionally, the calling unit 403 may include: a second acquisition module, used to constrain the bidding decision model based on multiple initial bidding results and using the first constraint, second constraint and third constraint of the participating object to obtain the target bidding strategy, wherein the first constraint is used to constrain the transaction volume of the electricity trading of the participating object, the second constraint is used to constrain the transmission capacity of the line in the area where the participating object is located, and the third constraint is used to constrain the energy storage capacity of the participating object.

[0148] Optionally, the second determining unit 405 may include an analysis module, used to input the target winning bid result into the settlement model of the participating object for analysis, and obtain the target virtual resource.

[0149] Optionally, the device further includes: a third determining unit, configured to determine the participation type of the participating object based on the transferred virtual resources; a fourth determining unit, configured to determine the participation type as an electricity sales object in response to a positive resource quantity corresponding to the transferred virtual resources; and a fifth determining unit, configured to determine the participation type as an electricity purchase object in response to a negative resource quantity corresponding to the transferred virtual resources.

[0150] In this embodiment, the acquisition unit acquires multiple participating objects in the two-layer power sharing transaction in the distribution network, as well as the transfer virtual resources of the participating objects. The participating objects are either electricity sellers or electricity buyers, and each electricity seller or buyer engages in power trading with a target participating object (excluding the target participating object) among the multiple participating objects. The first determining unit determines the initial bidding results of the multiple participating objects based on the multiple transfer virtual resources. The initial bidding results characterize the bidding status of the participating objects. The calling unit inputs the multiple initial bidding results into the bidding decision model of the participating objects for analysis, obtaining the target bidding strategy of the multiple participating objects. The bidding strategy is used to characterize the rules for allocating electricity to participating entities. The winning bid decision model is constructed by using the objective function of the participating entities as the decision objective. The objective function characterizes the virtual resources that participating entities expect to obtain in participating in the two-tier electricity sharing transaction. The execution unit executes the target winning bid strategy on multiple participating entities to obtain the target winning bid results for multiple participating entities. The second determination unit determines the target virtual resources of the participating entities based on the target winning bid results, thereby solving the technical problem that participating entities cannot effectively determine virtual resources in the two-tier electricity sharing transaction and achieving the technical effect that participating entities can effectively determine virtual resources in the two-tier electricity sharing transaction.

[0151] According to an embodiment of the present invention, a computer-readable storage medium is also provided, the computer-readable storage medium including a stored program, wherein, when the program is run by a processor, it controls the device where the readable storage medium is located to execute the virtual resource determination method for two-level power sharing transactions in the embodiment.

[0152] According to an embodiment of the present invention, a processor is also provided for running a program, wherein the program executes the virtual resource determination method for two-layer power sharing transactions in the embodiment.

[0153] According to an embodiment of the present invention, a computer program product is also provided, including a computer program that, when executed by a processor, implements the virtual resource determination method for two-layer power sharing transactions in the embodiments of the present invention.

[0154] According to embodiments of the present invention, an electronic device is also provided, comprising a processor and a memory for storing processor-executable instructions. The processor is configured to execute instructions to implement the virtual resource determination method for two-tier energy sharing transactions according to embodiments of the present invention.

[0155] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0156] In the above embodiments of the present invention, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0157] In the several embodiments provided by this invention, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units can be a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed can be through some interfaces; the indirect coupling or communication connection of units or modules can be electrical or other forms.

[0158] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0159] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0160] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0161] The above are merely preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method for determining virtual resources in a two-tiered electricity sharing transaction, characterized in that, include: The method involves acquiring multiple participants in a two-tiered power sharing transaction in a distribution network, as well as the virtual resources transferred by the participants. The participants are either electricity sellers or electricity buyers, and the electricity sellers or electricity buyers engage in power transactions with a target participant other than the participants among the multiple participants. Based on the multiple transferred virtual resources, the initial winning bid results of the multiple participating objects are determined, wherein the initial winning bid results are used to characterize the winning bid status of the participating objects; Multiple initial winning bid results are input into the winning bid decision model of the participating entities for analysis, resulting in multiple target winning bid strategies for the participating entities. The target winning bid strategy characterizes the rules for allocating electricity to the participating entities. The winning bid decision model is constructed using the objective function of the participating entities as the decision objective. The objective function characterizes the virtual resources that the participating entities expect to obtain in participating in the two-tier electricity sharing transaction. The winning bid decision model uses maximizing social welfare as its objective function, which is expressed by the following formula: ; In the above formula, t represents the bidding period; T represents the total bidding period. Used to characterize the amount of electricity bid in electricity trading; Used to characterize the bid electricity price; Used to characterize the bidding results; Used to represent the total number of buyers; Used to represent the total number of sellers; Used to represent the sum of seller's surplus and buyer's surplus; Used to characterize penalty terms; The set used to characterize the energy stored in the shared transaction; k is used to characterize the set internal index of the set of energy stored in the shared transaction; Used to represent positive numbers; The target bidding strategy is executed on multiple participating entities to obtain the target bidding results for the multiple participating entities; Based on the target bidding results, the target virtual resources of the participating entities are determined.

2. The method according to claim 1, characterized in that, Based on the multiple transferred virtual resources, the initial winning bid results for the multiple participating entities are determined, including: The participating objects are classified into categories to obtain classification results, wherein the classification results are used to characterize the participating objects as new business participants or as other participating objects besides the new business participants; Based on the classification results and the transferred virtual resources, the initial winning bid result is determined.

3. The method according to claim 2, characterized in that, Based on the classification results and the transferred virtual resources, the initial winning bid result is determined, including: In response to the classification result indicating that the participating object is the new type of business participant, the first electricity transaction declaration volume of the new type of business participant and the second electricity transaction declaration volume of the new type of business participant are obtained, wherein the first electricity transaction declaration volume is greater than the second electricity transaction declaration volume; The difference between the first and second electricity transaction declaration volumes is determined as the first bid value for the new type of business participant. Based on the first bid value and the transferred virtual resources, the initial winning bid result is determined.

4. The method according to claim 2, characterized in that, Based on the classification results and the transferred virtual resources, the initial winning bid result is determined, including: In response to the classification result indicating that the participating object is one of the other participating objects, the target operating status and power supply and demand information of the other participating objects are obtained, wherein the target operating status is that the other participating objects are in normal operating status; Based on the target operating state and the power supply and demand information, the bidding signals of the other participants are determined, wherein the bidding signals are used to characterize the bidding value of the transaction volume and the bidding value of the transaction value attribute generated by the other participants in the case of power trading; In response to the bidding signal, the initial winning bid result is determined based on the transferred virtual resources.

5. The method according to claim 1, characterized in that, The initial winning bid results are input into the winning bid decision model of the participating entities for analysis to obtain the target winning bid strategies of the participating entities, including: Based on multiple initial bidding results, the bidding decision model is constrained using the first, second, and third constraints of the participating object to obtain the target bidding strategy. The first constraint is used to constrain the transaction volume of the electricity trading of the participating object, the second constraint is used to constrain the transmission capacity of the lines in the area where the participating object is located, and the third constraint is used to constrain the energy storage capacity of the participating object.

6. The method according to claim 1, characterized in that, Based on the target bidding results, the target virtual resources of the participating entities are determined, including: The target winning bid result is input into the settlement model of the participating object for analysis to obtain the target virtual resource.

7. The method according to any one of claims 1 to 6, characterized in that, The method further includes: Based on the transferred virtual resources, determine the participation type of the participating object; In response to the positive number of the resource quantity corresponding to the transferred virtual resource, the participation type is determined to be the electricity sales object; In response to the negative amount of the resource corresponding to the transferred virtual resource, the participation type is determined to be the electricity purchase object.

8. A virtual resource determination device for a two-tiered electricity sharing transaction, characterized in that, include: The acquisition unit is used to acquire multiple participating objects in the two-level power sharing transaction in the distribution network, as well as the transfer virtual resources of the participating objects, wherein the participating objects are power selling objects or power purchasing objects, and the power selling objects or the power purchasing objects conduct power transactions with target participating objects other than the participating objects among the multiple participating objects; The first determining unit is configured to determine the initial winning bid results of multiple participating objects based on multiple transferred virtual resources, wherein the initial winning bid results are used to characterize the winning bid status of the participating objects; The calling unit is used to input multiple initial bidding results into the bidding decision model of the participating objects for analysis, thereby obtaining multiple target bidding strategies for the participating objects. The target bidding strategy characterizes the rules for allocating electricity to the participating objects. The bidding decision model is constructed using the objective function of the participating objects as the decision objective. The objective function characterizes the virtual resources that the participating objects expect to obtain in participating in the two-tier electricity sharing transaction. The bidding decision model uses maximizing social welfare as its objective function, which is expressed by the following formula: ; In the above formula, t represents the bidding period; T represents the total bidding period. Used to characterize the amount of electricity bid in electricity trading; Used to characterize the bid electricity price; Used to characterize the bidding results; Used to represent the total number of buyers; Used to represent the total number of sellers; Used to represent the sum of seller's surplus and buyer's surplus; Used to characterize penalty terms; The set used to characterize the energy stored in the shared transaction; k is used to characterize the set internal index of the set of energy stored in the shared transaction; Used to represent positive numbers; An execution unit is configured to execute the target bidding strategy on multiple participating objects to obtain the target bidding results of the multiple participating objects; The second determining unit is used to determine the target virtual resources of the participating object based on the target bidding result.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored program, wherein when the program is run by a processor, it controls the device in which the storage medium resides to perform the method of any one of claims 1 to 7.

10. An electronic device, characterized in that, include: processor; Memory used to store the processor's executable instructions; The processor is configured to execute the instructions to implement the method as described in any one of claims 1 to 7.

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