Photovoltaic energy transaction regulation method and system

Abstract

The application provides a photovoltaic energy transaction regulation method and system, belongs to the technical field of energy transaction regulation, calculates physical-social joint preference values of each electricity purchasing user for each electricity selling user, and establishes an electricity purchasing preference list; calculates physical-social joint preference values of each electricity selling user for each electricity purchasing user, and establishes an electricity selling preference list. According to the electricity purchasing preference list, the electricity purchasing user clearly follows the order of the electricity selling users in the list, and successively applies for transactions to the electricity selling users with larger joint preference values; meanwhile, according to the electricity selling preference list, the electricity selling user follows the order of the electricity purchasing users in the list, and successively examines and approves the transaction applications of the electricity purchasing users with larger joint preference values, until each user has no surplus or demand electricity, and then the final energy transaction regulation scheme is determined, and the finally designed energy transaction regulation scheme is more in line with the actual situation, and lays a foundation for subsequent accurate analysis of the energy transaction process in the photovoltaic energy transaction network.

Description

Technical Field

[0001] This invention relates to the field of energy trading and regulation technology, and in particular to a photovoltaic energy trading and regulation method and system. Background Technology

[0002] The rapid development of distributed generation technology, energy storage technology, and information and communication technology, along with the widespread adoption of rooftop photovoltaics and the encouragement of energy policies, has transformed users from traditional electricity consumers into photovoltaic prosumers, playing a dual role as both energy producers and consumers during operation. Furthermore, prosumer energy trading networks based on distributed energy free trading markets provide a solution for prosumers to participate in the electricity market and offer an effective way for them to participate in the real-time market. This allows prosumers in the energy trading network to independently buy and sell electricity in the local market, achieving energy trading and power supply-demand balance among prosumers.

[0003] However, in the actual energy trading and sharing process, the decision-making factors of prosumers are often complex. Studies have shown that individual prosumers have different energy trading preferences. That is, users' preferences for the source or direction of energy purchases and sales will affect their decisions. For example, users are willing to pay higher prices to purchase electricity from users with large historical transaction volumes, or users are more inclined to trade energy with users from social networks with higher matching degrees. In contrast, most studies in traditional energy trading regulation methods assume that electricity is homogeneous and ignore the analysis of prosumers' preferences for different energy sources or directions, thus failing to design energy trading regulation methods that fit reality. Summary of the Invention

[0004] The purpose of this invention is to provide a photovoltaic energy trading regulation method and system, which makes the energy trading regulation schemes designed for each producer and consumer in the energy trading network more in line with actual conditions.

[0005] To achieve the above objectives, the present invention provides the following solution:

[0006] A photovoltaic energy trading regulation method includes:

[0007] Based on the electricity generation and consumption of users, a set of electricity purchasing users and a set of electricity selling users are determined; the set of electricity purchasing users includes several electricity purchasing users who need to purchase electricity and the corresponding electricity demand of each electricity purchasing user; the set of electricity selling users includes several electricity selling users who can sell electricity and the corresponding surplus electricity of each electricity selling user.

[0008] For any electricity purchaser, a list of electricity purchaser preferences is established based on the electricity purchaser's physical-social joint preference value for each electricity seller;

[0009] For any electricity purchaser, according to the electricity purchaser's electricity purchase preference list, a transaction application is submitted to the electricity sellers who are ranked first in the electricity purchase preference list and have not rejected the electricity purchaser's transaction request, until the electricity purchaser's electricity demand is zero;

[0010] For any electricity sales user, an electricity sales preference list is established based on the electricity sales user's physical-social joint preference value for each electricity purchaser.

[0011] For any electricity sales user, according to the electricity sales user's electricity sales preference list, the transaction applications of the electricity purchasers ranked first in the electricity sales preference list are approved in turn, until the electricity sales user's surplus electricity is zero or there are no electricity purchasers, and then a transaction application is submitted to the electricity sales user;

[0012] If the surplus electricity of all electricity sellers in the set of electricity sellers is zero, or the demand electricity of all electricity buyers in the set of electricity buyers is zero, then the multiple user groups that have successfully completed the transaction will be used as the energy trading control scheme.

[0013] Optionally, for any electricity purchaser, establishing a list of electricity purchaser preferences based on the electricity purchaser's physical-social joint preference values ​​for each electricity seller specifically includes:

[0014] For any electricity seller, calculate both the physical domain preference utility value and the social domain preference utility value of the electricity seller to which the electricity purchaser purchases electricity; the physical domain preference utility value represents the economic benefit of the electricity purchaser purchasing electricity from the electricity seller; the social domain preference utility value represents the social benefit of the electricity purchaser purchasing electricity from the electricity seller.

[0015] Based on the electricity purchaser's physical domain preference utility value for the electricity seller and the electricity purchaser's social domain preference utility value for the electricity seller, the physical-social joint preference value of the electricity purchaser for the electricity seller is determined.

[0016] Each electricity retailer is sorted in descending order according to the physical-social joint preference value of the electricity purchaser towards each electricity retailer, thus obtaining the electricity purchaser's electricity purchase preference list.

[0017] Optionally, the electricity purchaser's physical domain preference utility value for the electricity seller can be calculated according to the following formula:

[0018]

[0019] in, Indicates electricity purchaser b j For electricity sales users si The utility value of electricity purchase physical domain preference, π i Indicates electricity sales users s i The price of electricity, e ij Indicates from electricity sales users s i Flow to electricity purchasers b j Energy trading volume, d ij Indicates electricity sales users s i and electricity purchasers b j electrical distance, e ji Indicates from electricity purchasers b j Flow to electricity sales users s i Energy trading volume, This indicates the electricity purchaser after purchasing a unit of electrical energy. b j Increased energy efficiency; Obtained from the following formula:

[0020]

[0021] in, θ j Indicates electricity purchaser b j Energy consumption parameters PV j Indicates electricity purchaser b j Photovoltaic power output power, P B,J Indicates electricity purchaser b j The electricity demand.

[0022] Optionally, the electricity purchaser's social domain preference utility value for the electricity seller can be calculated according to the following formula:

[0023]

[0024] in, Indicates electricity purchaser b j For electricity sales users s i The utility value of social domain preferences in electricity purchase. Indicates electricity purchaser b j The set of friendly neighbor nodes, Indicates electricity sales users s i The set of friendly neighbor nodes.

[0025] Optionally, the physical-social joint preference value of the electricity purchaser for the electricity seller is determined according to the following formula:

[0026]

[0027] in, Indicates electricity purchaser b j For electricity sales users s i Physical-social joint preference value, Indicates electricity purchaser b j For electricity sales users s i The utility value of electricity purchase physical domain preference, Indicates electricity purchaser b j For electricity sales users s i The utility value of social domain preferences in electricity purchase. This represents the weighting parameter.

[0028] Optionally, for any electricity retailer, establishing an electricity retailer's electricity preference list based on the electricity retailer's physical-social joint preference value for each electricity purchaser specifically includes:

[0029] For any electricity purchaser, calculate the electricity sales user's physical domain preference utility value and the electricity sales user's social domain preference utility value for the electricity purchaser; the physical domain preference utility value represents the economic benefit of the electricity sales user selling electricity to the electricity purchaser; the social domain preference utility value represents the social benefit of the electricity sales user selling electricity to the electricity purchaser.

[0030] Based on the electricity sales user's physical domain preference utility value for the electricity purchaser and the electricity sales user's social domain preference utility value for the electricity purchaser, the physical-social joint preference value of the electricity sales user for the electricity purchaser is determined.

[0031] Each electricity purchaser is sorted in descending order according to the physical-social joint preference value of the electricity seller towards each electricity purchaser, thus obtaining the electricity seller's electricity preference list.

[0032] Optionally, the electricity sales user's preference utility value for the electricity purchaser's physical domain of electricity sales can be calculated according to the following formula:

[0033]

[0034] in, Indicates electricity sales users s i For electricity purchasers b j The utility value of the physical domain preference for electricity sales. π i express π i Indicates electricity sales users s i The price of electricity, e ij Indicates from electricity sales users s i Flow to electricity purchasers b j Energy trading volume, This refers to the electricity sales user after selling a unit of electrical energy. s i Reduced power consumption; Obtained from the following formula:

[0035]

[0036] in, θ i Indicates electricity sales users s i Energy consumption parameters PV i Indicates electricity sales users s i Photovoltaic power output power, P S,i Indicates electricity sales users s i The surplus electricity.

[0037] Optionally, the electricity sales user's social domain preference utility value for the electricity purchaser can be calculated according to the following formula:

[0038]

[0039] in, Indicates electricity sales users s i For electricity purchasers b j The social domain preference utility value of electricity sales P si,bj Indicates electricity sales users s i In the past, electricity was sold to customers. b j Total power consumption P bj,si Indicates electricity purchaserb j In the past, electricity was sold to electricity users. s i Total power consumption.

[0040] Optionally, the physical-social joint preference value of the electricity seller to the electricity buyer is determined according to the following formula:

[0041]

[0042] in, Indicates electricity sales users s i For electricity purchasers b j Physical-social joint preference value, Indicates electricity sales users s i For electricity purchasers b j The utility value of the physical domain preference for electricity sales. Indicates electricity sales users s i For electricity purchasers b j The social domain preference utility value of electricity sales This represents the weighting parameter.

[0043] Corresponding to the aforementioned photovoltaic energy trading and control method, the present invention also provides a photovoltaic energy trading and control system, which, when run by a computer, executes the photovoltaic energy trading and control method as described above.

[0044] According to specific embodiments provided by the present invention, the present invention discloses the following technical effects:

[0045] This invention provides a photovoltaic energy trading regulation method and system. The photovoltaic power sharing regulation method provided by this invention calculates the physical-social joint preference value of each user with insufficient production capacity who needs to purchase electricity for other users with surplus electricity, and establishes an electricity purchase preference list. For each user with surplus electricity, it calculates the physical-social joint preference value of each user who needs to purchase electricity, and establishes an electricity sales preference list. Based on the electricity purchase preference list, electricity purchasers can submit transaction applications to electricity sellers in the order listed, sequentially choosing those with the highest joint preference values. Simultaneously, based on the electricity seller preference list, electricity sellers can approve transaction applications from electricity purchasers in the order listed, sequentially choosing those with the highest joint preference values, until all users have no surplus or demanding electricity. The groups of users who successfully completed transactions are then considered as the energy trading control scheme. Through this control method, electricity purchasers with demand and electricity sellers with surplus electricity can be matched with the optimal prosumer / consumer for energy trading, considering both the physical and social domains. This invention provides a more realistic energy trading control scheme for each prosumer / consumer in the photovoltaic energy trading network, laying the foundation for subsequent precise analysis of the energy trading process within the photovoltaic energy trading network. Attached Figure Description

[0046] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0047] Figure 1 A flowchart of a photovoltaic energy trading regulation method provided in Embodiment 1 of the present invention;

[0048] Figure 2 This is a block diagram of a photovoltaic energy trading and control system provided in Embodiment 2 of the present invention. Detailed Implementation

[0049] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. 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 are within the scope of protection of the present invention.

[0050] With the deep coupling of cyber-physical-social systems, the energy-sharing behavior of prosumers in the social domain is complex. On the one hand, in prosumer-organized energy sharing, in addition to being influenced by objective factors such as the trading environment and trading time, prosumers' decision-making behavior is also affected by subjective factors such as the behavior of other individuals in the social network and inter-individual social behavior. These subjective behaviors make prosumer transactions uncertain and random. However, existing prosumer energy sharing methods mainly focus on the technical and economic issues of prosumer energy sharing in the physical domain, including technical issues such as management framework, pricing mechanism, and transaction settlement method. Prosumers follow the principle of maximizing economic benefits in the decision-making process, but they do not analyze the information in the social domain of prosumers, such as their preferences for trading entities and their impact on energy transactions, and ignore the heterogeneous preferences of prosumers for energy sources (flow).

[0051] To address the aforementioned difficulties and challenges, this invention proposes a photovoltaic prosumer energy sharing regulation method. Based on the premise that "electricity is heterogeneous depending on its generation method and location in the network, and prosumers' decisions in energy-sharing networks exhibit heterogeneous preferences for electricity sources (or destinations)," this invention introduces the concept of "preference" to express prosumers' considerations regarding electricity sources (or destinations), thus solving the energy sharing regulation problem for buyers and sellers with heterogeneous preferences. A preference matrix for both buyers and sellers is established, and a buyer-seller energy sharing matching process is implemented. Based on this matching process, the specific shared electricity volume and corresponding electricity price between each prosumer are obtained.

[0052] The purpose of this invention is to provide a photovoltaic energy trading regulation method and system, which makes the energy trading regulation schemes designed for each producer and consumer in the energy trading network more in line with actual conditions.

[0053] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0054] Example 1:

[0055] This embodiment provides a photovoltaic energy trading regulation method, such as... Figure 1 The flowchart shown illustrates that this photovoltaic energy trading regulation method includes:

[0056] A1. Based on the electricity generation and consumption of users, determine the set of electricity purchasing users and the set of electricity selling users; the set of electricity purchasing users includes several electricity purchasing users who need to purchase electricity and the electricity demand corresponding to each electricity purchasing user; the set of electricity selling users includes several electricity selling users who can sell electricity and the surplus electricity corresponding to each electricity selling user.

[0057] In this embodiment, the net load power of each user is determined based on their photovoltaic capacity and load. Then, based on the net load power of each user, a set of electricity purchasing users and a set of electricity selling users are obtained, and the electricity demand of each electricity purchasing user is obtained. P B and the surplus electricity of each electricity sales user P S .

[0058] A2. For any electricity purchaser, establish a list of electricity purchase preferences for that electricity purchaser based on the electricity purchaser's physical-social joint preference value for each electricity seller; specifically including:

[0059] A21. For any electricity seller, calculate the physical domain preference utility value of the electricity purchaser to the electricity seller and the social domain preference utility value of the electricity purchaser to the electricity seller; the physical domain preference utility value represents the economic benefit of the electricity purchaser purchasing electricity from the electricity seller; the social domain preference utility value represents the social benefit of the electricity purchaser purchasing electricity from the electricity seller.

[0060] In this embodiment, in the physical domain, the preference utility value of a power purchaser is defined as the profit they can obtain through energy trading. For any power purchaser j∈NB in ​​the energy trading network, their physical domain preference utility value relative to each power seller is calculated according to the following formula:

[0061]

[0062] in, Indicates electricity purchaser b j For electricity sales users s i The utility value of electricity purchase physical domain preference, π i Indicates electricity sales users s i The price of electricity, e ij Indicates from electricity sales users s i Flow to electricity purchasers b j Energy trading volume, d ij Indicates electricity sales users s i and electricity purchasers b j electrical distance, e ji Indicates from electricity purchasers b j Flow to electricity sales users si The energy trading volume should be noted from electricity purchasers. b j Flow to electricity sales users s i Energy trading volume e ji It should be negative. e ji and e ij The relationship between them is represented as follows: e ij + e ji = α ij e ij , α ij Indicates the power loss sensitivity factor. This indicates the electricity purchaser after purchasing a unit of electrical energy. b j Increased energy efficiency; Obtained from the following formula:

[0063]

[0064] in, θ j Indicates electricity purchaser b j Energy consumption parameters PV j Indicates electricity purchaser b j Electrical output power P B,j Indicates electricity purchaser b j The electricity demand.

[0065] To allocate network losses associated with bilateral transactions, this invention proposes the concept of a power loss sensitivity factor based on bilateral transactions. For example, for a transaction from an electricity retailer... s i To electricity purchasers b j For energy trading, the relevant power loss sensitivity factor can be calculated using the following formula:

[0066]

[0067] in, and Electricity sales users s i Injected unit power and electricity purchaser b jThe network loss factor corresponding to unit power output.

[0068] The network loss factor characterizes the sensitivity of node injection to network loss, representing the change in network loss caused by a unit amount of power injected into the node. For a node... m The formula for calculating its network loss factor is:

[0069]

[0070] in, For nodes m Injected power, For nodes m Injected power The loss in the network. And the node. m The offset caused by the power injected per unit charge is balanced by the balancing node, that is:

[0071]

[0072]

[0073] Among them, subscript ref The representative is a balanced node, indicated by a superscript. inj The power injected is represented by the subscript 0, which means that the increase in network loss caused by the power value before the node injects a unit of electricity is:

[0074]

[0075] Divide both sides of the above equation by And by taking the limit value, we get:

[0076]

[0077] This invention utilizes power transfer distance, i.e., node i Injection unit power and node j The total increase in power across all branches of the network when outputting unit power. F P As a node i and nodes j The electrical distance between them is expressed as follows:

[0078]

[0079] in, Represents the set of branches. l Indicates the index of the branch. Indicates when node i Injection unit power and node j Branch with unit power outputl The increase in power on P i =1, P j =-1 indicates a node i Injection unit power and node j The condition for outputting unit power. This metric uses the absolute value of power flow change. For a specific transaction, the power flow will increase on some branches and decrease on others. This calculation method considers the total change in power flow across all branches.

[0080] For any electricity purchaser in the energy trading network b j ∈ N B Its focus in energy trading is on identifying reliable and trustworthy potential electricity buyers and avoiding malicious sellers. Based on the homogeneity principle in social science, when two people have more friends, they have closer social relationships, meaning they will exhibit more trustworthy relationships. This invention uses the concept of friend-of-friend (FOF) to define electricity buyers. b j Compared to electricity sales users s i The social domain preference utility value. Specifically, in this embodiment, the social domain preference utility value of the electricity purchaser for the electricity seller is calculated according to the following formula:

[0081]

[0082] in, Indicates electricity purchaser b j For electricity sales users s i The utility value of social domain preferences in electricity purchase. Indicates electricity purchaser b j The set of friendly neighbor nodes, Indicates electricity sales users s i The set of friendly neighbor nodes.

[0083] A22. Determine the physical-social joint preference value of the electricity purchaser for the electricity seller based on the electricity purchaser's physical domain preference utility value for the electricity purchaser and the electricity purchaser's social domain preference utility value for the electricity seller.

[0084] In this embodiment, the physical-social joint preference value of the electricity purchaser for the electricity seller is determined according to the following formula:

[0085]

[0086] in, Indicates electricity purchaser b j For electricity sales users s i Physical-social joint preference value, Indicates electricity purchaser b j For electricity sales users s i The utility value of electricity purchase physical domain preference, Indicates electricity purchaser b j For electricity sales users s i The utility value of social domain preferences in electricity purchase. This represents the weighting parameter.

[0087] A23. Sort each electricity sales user in descending order according to the physical-social joint preference value of the electricity purchaser for each electricity sales user, to obtain the electricity purchaser's electricity purchase preference list.

[0088] For electricity purchasers b j In terms of their preference ranking relationship Defined as:

[0089]

[0090] This formula indicates that electricity purchasers b j Compared to electricity retailers s i’ Prefers electricity sales users s i Electricity purchasers With electricity users s i Physical-social joint preference value obtained from the transaction Greater than the seller s i’ Physical-social joint preference value obtained from the transaction Therefore, by comparing each electricity retailer pairwise, based on the aforementioned preference relationships and physical-social joint preference values, each electricity purchaser can form their own preference list by arranging all electricity retailers in descending order. L bj .

[0091] In this embodiment, for any electricity purchaser, other electricity sellers can be sorted in descending order based on the electricity purchaser's physical-social joint preference value for each electricity seller. If there areN S Each electricity user can then receive a value of [size missing]. N S The preference list, that is, the electricity purchase preference list of the electricity purchaser. L B .

[0092] A3. For any electricity retailer, establish a list of electricity retailer's preferences based on the retailer's physical-social joint preference values ​​for each electricity purchaser; specifically including:

[0093] A31. For any electricity purchaser, calculate the electricity sales user's physical domain preference utility value and the electricity sales user's social domain preference utility value for the electricity purchaser; the physical domain preference utility value represents the economic benefit of the electricity sales user selling electricity to the electricity purchaser; the social domain preference utility value represents the social benefit of the electricity sales user selling electricity to the electricity purchaser.

[0094] In this embodiment, the electricity sales user's electricity sales physical domain preference utility value for the electricity purchaser is calculated according to the following formula:

[0095]

[0096] in, Indicates electricity sales users s i For electricity purchasers b j The utility value of the physical domain preference for electricity sales. π i express π i Indicates electricity sales users s i The price of electricity, e ij Indicates from electricity sales users s i Flow to electricity purchasers b j Energy trading volume, This refers to the electricity sales user after selling a unit of electrical energy. s i Reduced power consumption; Obtained from the following formula:

[0097]

[0098] in, θ i Indicates electricity sales users s i Energy consumption parameters PVi Indicates electricity sales users s i Photovoltaic power output power, P S,i Indicates electricity sales users s i The surplus electricity.

[0099] For any electricity user in the energy trading network s i ∈ N S At the social domain level, he focuses on how to reward users who have successfully sold energy to them in the past; in other words, effectively fostering cooperation with past energy contributors. Therefore, according to the psychology of compensation in sociology, the more energy you receive from a buyer, the more willing you are to sell energy back to them. For this reason, electricity sellers in the social domain... s i Compared to electricity purchasers b j The social domain preference utility value for electricity sales is calculated according to the following formula:

[0100]

[0101] in, Indicates electricity sales users s i For electricity purchasers b j The social domain preference utility value of electricity sales Indicates electricity sales users s i In the past, electricity was sold to customers. b j Total power consumption Indicates electricity purchaser b j In the past, electricity was sold to electricity users. s i Total power consumption.

[0102] A32. Based on the electricity sales user's physical domain preference utility value for the electricity purchaser and the electricity sales user's social domain preference utility value for the electricity purchaser, determine the electricity sales user's physical-social joint preference value for the electricity purchaser;

[0103] In this embodiment, the physical-social joint preference value of the electricity seller to the electricity buyer is determined according to the following formula:

[0104]

[0105] in, Indicates electricity sales users si For electricity purchasers b j Physical-social joint preference value, Indicates electricity sales users s i For electricity purchasers b j The utility value of the physical domain preference for electricity sales. Indicates electricity sales users s i For electricity purchasers b j The social domain preference utility value of electricity sales This represents the weighting parameter.

[0106] A33. Sort each electricity purchaser in descending order according to the physical-social joint preference value of the electricity seller for each electricity purchaser, to obtain the electricity seller's electricity preference list.

[0107] For electricity sales users s i In terms of their preference ranking relationship Defined as:

[0108]

[0109] This formula indicates that electricity sales users s i Compared to electricity buyers b j’ Prefers electricity buyers b j Electricity sales users s i With electricity purchasers b j Physical-social joint preference value obtained from the transaction Greater than the electricity purchaser b j’ Physical-social joint preference value obtained from the transaction Therefore, each electricity seller can use this preference relationship to sort all electricity buyers in strict descending order to obtain a list of electricity seller preferences for all electricity buyers based on the physical-social joint preference value. L si .

[0110] In this embodiment, for any electricity seller, other electricity buyers can be sorted in descending order based on the electricity seller's physical-social joint preference value for each electricity buyer. If there are N B Each electricity purchaser can receive a size of N BThe preference list, that is, the electricity purchase preference list of the electricity purchaser. L S .

[0111] A4. For any electricity purchaser, according to the electricity purchaser's electricity purchase preference list, transaction applications are sequentially submitted to the electricity sellers ranked highest in the electricity purchase preference list who have not rejected the electricity purchaser's transaction requests, until the electricity purchaser's electricity demand is zero; in this embodiment, for any electricity purchaser who still has energy demand... b j That is, satisfying D ( b j Buyers with a power consumption ratio greater than 0 need to select their most preferred electricity seller from the current electricity purchase preference list that has not rejected them, and then state their current energy needs to that seller. D ( b j ).

[0112] A5. For any electricity seller, based on the seller's electricity purchase preference list, sequentially approve transaction requests from the top-ranked users in the list, until the seller's surplus electricity is zero or there are no more buyers, then submit another transaction request to the seller; for each electricity seller in the system, it is based on its electricity purchase preference list. L S The order in which electricity purchasers accept transaction requests from their preferred electricity purchasers continues until their surplus electricity is zero (i.e., R ( s i If the power consumption is zero, the power consumption is either zero or all transaction requests submitted to it are satisfied. If the power consumption is zero, the transaction requests from users whose power consumption is lower in the power purchase preference list are rejected.

[0113] A6. If it is determined that the surplus electricity of all electricity sellers in the electricity seller set is zero or the demand electricity of all electricity buyers in the electricity buyer set is zero, then proceed to step A7; otherwise, proceed to step A4.

[0114] A7. Use multiple user groups that have successfully completed transactions as an energy trading regulation scheme.

[0115] In this embodiment, it is necessary to determine whether the following two conditions are met simultaneously: (1) whether there are electricity users who need to purchase electricity, i.e. (2) Are there any electricity sellers with surplus electricity, i.e. If both conditions are met, it proves that the transaction matching has not ended, and a new round of iteration is executed; if neither condition is met, it proves that the matching process has ended, and then the multiple user groups that have successfully completed the transaction are output as the energy transaction regulation scheme.

[0116] Example 2:

[0117] The method of Embodiment 1 of the present invention can also be used by means of Figure 2 The photovoltaic energy trading and control system architecture shown is implemented as follows. This system may include a module for determining the set of electricity buyers, a module for determining the set of electricity sellers, a module for determining the electricity buyer preference list, a module for determining the electricity seller preference list, a module for submitting a transaction application, a module for approving a transaction application, a module for determining the end of matching, and a module for determining the control scheme. Some modules may also have sub-units to implement their functions. For example, the electricity buyer preference list determination module may include a first social domain preference determination unit, a first physical domain preference determination unit, and a first physical-social joint preference determination unit; the electricity seller preference list determination module may include a second social domain preference determination unit, a second physical domain preference determination unit, and a second physical-social joint preference determination unit. Of course, Figure 2 The architecture shown is merely exemplary; it can be omitted as needed when implementing different functionalities. Figure 2 One or at least two components of the system shown.

[0118] The program portion of a technology can be considered a "product" or "artifact" existing in the form of executable code and / or related data, and is involved in or implemented through a computer-readable medium. Tangible, permanent storage media can include memory or storage used by any computer, processor, or similar device or related module. For example, various semiconductor memories, tape drives, disk drives, or any similar device capable of providing storage functionality for software.

[0119] All software, or parts thereof, may sometimes communicate via networks, such as the Internet or other communication networks. Such communication can load software from one computer device or processor to another. For example, loading software from a server or host computer of a video object detection device to a hardware platform of a computer environment, or another computer environment that implements the system, or a system with similar functionality related to providing the information needed for object detection. Therefore, another medium capable of transmitting software elements can also be used as a physical connection between local devices, such as light waves, radio waves, electromagnetic waves, etc., propagated through cables, fiber optic cables, or air. Physical media used for carrier waves, such as cables, wireless connections, or fiber optic cables, can also be considered as media carrying software. In this context, unless limited to tangible "storage" media, the term "readable medium" for a computer or machine refers to the medium involved in the execution of any instructions by the processor.

[0120] Specific examples are used in this article, but the above description is only to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only for the purpose of helping to understand the method and core ideas of the present invention. Those skilled in the art should understand that the various modules or steps of the present invention described above can be implemented using general-purpose computer devices. Optionally, they can be implemented using computer-executable program code, and thus, they can be stored in a storage device for execution by a computer device, or they can be fabricated as separate integrated circuit modules, or multiple modules or steps can be fabricated as a single integrated circuit module. The present invention is not limited to any specific combination of hardware and software.

[0121] Furthermore, those skilled in the art will recognize that, based on the principles of this invention, there will be variations in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as limiting the invention.

Claims

1. A photovoltaic energy trading regulation method, characterized in that, The photovoltaic energy trading regulation method includes: Based on the electricity generation and consumption of users, a set of electricity purchasing users and a set of electricity selling users are determined; the set of electricity purchasing users includes several electricity purchasing users who need to purchase electricity and the corresponding electricity demand of each electricity purchasing user; the set of electricity selling users includes several electricity selling users who can sell electricity and the corresponding surplus electricity of each electricity selling user. For any electricity purchaser, a list of electricity purchaser preferences is established based on the electricity purchaser's physical-social joint preference value for each electricity seller; For any electricity purchaser, according to the electricity purchaser's electricity purchase preference list, a transaction application is submitted to the electricity sellers who are ranked first in the electricity purchase preference list and have not rejected the electricity purchaser's transaction request, until the electricity purchaser's electricity demand is zero; For any electricity sales user, an electricity sales preference list is established based on the electricity sales user's physical-social joint preference value for each electricity purchaser. For any electricity sales user, according to the electricity sales user's electricity sales preference list, the transaction applications of the electricity purchasers ranked first in the electricity sales preference list are approved in turn, until the electricity sales user's surplus electricity is zero or there are no electricity purchasers, and then a transaction application is submitted to the electricity sales user; If the surplus electricity of all electricity sellers in the set of electricity sellers is zero or the demand electricity of all electricity buyers in the set of electricity buyers is zero, then the multiple user groups that have successfully completed the transaction will be used as the energy transaction control scheme. For any electricity purchaser, a list of electricity purchase preferences for that purchaser is established based on the purchaser's physical-social joint preference value for each electricity seller, specifically including: For any electricity seller, calculate both the physical domain preference utility value and the social domain preference utility value of the electricity seller to which the electricity purchaser purchases electricity; the physical domain preference utility value represents the economic benefit of the electricity purchaser purchasing electricity from the electricity seller; the social domain preference utility value represents the social benefit of the electricity purchaser purchasing electricity from the electricity seller. Based on the electricity purchaser's physical domain preference utility value for the electricity seller and the electricity purchaser's social domain preference utility value for the electricity seller, the physical-social joint preference value of the electricity purchaser for the electricity seller is determined. Sort each electricity retailer in descending order according to the physical-social joint preference value of the electricity purchaser for each electricity retailer, and obtain the electricity purchaser's electricity purchase preference list; The physical-social joint preference value of the electricity purchaser for the electricity seller is determined according to the following formula: in, Indicates electricity purchaser b j For electricity sales users s i Physical-social joint preference value, Indicates electricity purchaser b j For electricity sales users s i The utility value of electricity purchase physical domain preference, Indicates electricity purchaser b j For electricity sales users s i The utility value of social domain preferences in electricity purchase. Indicates the weighting parameter; The physical domain preference utility value of the electricity purchaser for the electricity seller is calculated according to the following formula: in, Indicates electricity purchaser b j For electricity sales users s i The utility value of electricity purchase physical domain preference, π i Indicates electricity sales users s i The price of electricity, e ij Indicates from electricity sales users s i Flow to electricity purchasers b j Energy trading volume, d ij Indicates electricity sales users s i and electricity purchasers b j electrical distance, e ji Indicates from electricity purchasers b j Flow to electricity sales users s i Energy trading volume, This indicates the electricity purchaser after purchasing a unit of electrical energy. b j Increased energy efficiency; Obtained from the following formula: in, θ j Indicates electricity purchaser b j Energy consumption parameters PV j Indicates electricity purchaser b j Photovoltaic power output power, P B,J Indicates electricity purchaser b j The electricity demand.

2. The photovoltaic energy trading regulation method according to claim 1, characterized in that, The utility value of the electricity purchaser's social domain preference for the electricity seller is calculated according to the following formula: in, Indicates electricity purchaser b j For electricity sales users s i The utility value of social domain preferences in electricity purchase. Indicates electricity purchaser b j The set of friendly neighbor nodes, Indicates electricity sales users s i The set of friendly neighbor nodes.

3. The photovoltaic energy trading regulation method according to claim 1, characterized in that, For any given electricity retailer, a list of electricity retailer preferences is established based on the retailer's physical-social joint preference values ​​for each electricity purchaser. This specifically includes: For any electricity purchaser, calculate the electricity sales user's physical domain preference utility value and the electricity sales user's social domain preference utility value for the electricity purchaser; the physical domain preference utility value represents the economic benefit of the electricity sales user selling electricity to the electricity purchaser; the social domain preference utility value represents the social benefit of the electricity sales user selling electricity to the electricity purchaser. Based on the electricity sales user's physical domain preference utility value for the electricity purchaser and the electricity sales user's social domain preference utility value for the electricity purchaser, the physical-social joint preference value of the electricity sales user for the electricity purchaser is determined. Each electricity purchaser is sorted in descending order according to the physical-social joint preference value of the electricity seller towards each electricity purchaser, thus obtaining the electricity seller's electricity preference list.

4. The photovoltaic energy trading regulation method according to claim 3, characterized in that, The electricity sales user's physical domain preference utility value for the electricity purchaser is calculated according to the following formula: in, Indicates electricity sales users s i For electricity purchasers b j The utility value of the physical domain preference for electricity sales. π i express π i Indicates electricity sales users s i The price of electricity, e ij Indicates from electricity sales users s i Flow to electricity purchasers b j Energy trading volume, This refers to the electricity sales user after selling a unit of electrical energy. s i Reduced power consumption; Obtained from the following formula: in, θ i Indicates electricity sales users s i Energy consumption parameters PV i Indicates electricity sales users s i Photovoltaic power output power, P S,i Indicates electricity sales users s i The surplus electricity.

5. The photovoltaic energy trading regulation method according to claim 3, characterized in that, The utility value of the electricity sales user's social domain preference for the electricity purchaser is calculated according to the following formula: in, Indicates electricity sales users s i For electricity purchasers b j The social domain preference utility value of electricity sales Indicates electricity sales users s i In the past, electricity was sold to customers. b j Total power consumption Indicates electricity purchaser b j In the past, electricity was sold to electricity users. s i Total power consumption.

6. The photovoltaic energy trading regulation method according to claim 3, characterized in that, The physical-social joint preference value of the electricity seller to the electricity buyer is determined according to the following formula: in, Indicates electricity sales users s i For electricity purchasers b j Physical-social joint preference value, Indicates electricity sales users s i For electricity purchasers b j The utility value of the physical domain preference for electricity sales. Indicates electricity sales users s i For electricity purchasers b j The social domain preference utility value of electricity sales This represents the weighting parameter.

7. A photovoltaic energy trading and control system, characterized in that, When the photovoltaic energy trading and control system is executed by a computer, it runs the photovoltaic energy trading and control method as described in any one of claims 1 to 6.

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