Power trading brokerage system
The power trading brokerage system addresses the challenge of promoting eco-friendly power supply by using machine learning to calculate eco-indices and adjust selling prices, thereby encouraging users to purchase from sellers with better environmental performance without creating price disparities for buyers.
Patent Information
- Application Number
- JP2022149925
- Authority / Receiving Office
- JP · JP
- Patent Type
- Patents
- Current Assignee / Owner
- Filing Date
- 2022-09-21
- Publication Date
- 2025-06-24
- Estimated Expiration
- 2042-09-21
AI Technical Summary
Existing power trading brokerage systems lack an effective mechanism to promote eco-friendly power supply, as users may avoid purchasing power from sellers with better eco-indices due to price differences.
A power trading brokerage system that uses machine learning to calculate an eco-index for each power selling user based on greenhouse gas emissions and renewable energy ratios, and adjusts the selling electricity price to incentivize eco-friendly power supply without creating price disparities for buyers.
The system promotes eco-friendly power supply by encouraging users to purchase electricity from sellers with better eco-indices, as the uniform purchase price simplifies the buying process and incentivizes sellers to improve their eco-indices for higher selling prices.
Smart Images

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Abstract
Description
Technical Field
[0001] The technology disclosed in this specification relates to a power trading brokerage system.
Background Art
[0002] Patent Document 1 discloses a power trading brokerage system that brokers power trading between a power selling user who owns a movable body and a power buying user who wishes to buy power at a power supply location, in a power supply platform where a rechargeable movable body moves to a power supply location and supplies power from the movable body to the power supply location.
Prior Art Documents
Patent Documents
[0003]
Patent Document 1
Summary of the Invention
Problems to be Solved by the Invention
[0004] In a power trading brokerage system, from the perspective of environmental protection, it may be desired to promote eco - friendly power supply. Here, eco - friendly power supply means, for example, power supply with low greenhouse gas emissions (such as CO2 emissions) or power supply with a high ratio of the amount of power derived from renewable energy to the amount of power supplied. In this specification, a technology that can promote eco - friendly power supply in a power trading brokerage system is provided.
Means for Solving the Problems
[0005] The power trading brokerage system disclosed in this specification mediates power trading between a power selling user who owns a mobile body and a power buying user who wishes to buy power at a power supply location in a power supply platform where a rechargeable mobile body moves to the power supply location and supplies power from the mobile body to the power supply location. The power trading brokerage system includes at least one computer. The system is capable of executing a process of extracting a plurality of power selling users who satisfy the power buying conditions of the power buying user and have power selling conditions that are satisfied for the power buying user, a process of calculating, for each of the plurality of extracted power selling users, an eco-index for the power supply by the power selling user based on the amount of greenhouse gas emissions discharged by the mobile body through the movement to the power supply location and the power supply at the power supply location and the ratio of renewable energy in the amount of power charged in the mobile body, and a process of determining, for each of the plurality of power selling users, the power selling price to be presented to the power selling users based on the uniform power buying price presented to the power buying user and the calculated eco-index. A price difference is provided in the power selling price determined for each power selling user according to the deviation value of the eco-index. Note that the power trading brokerage system is a system using machine learning. For example, the at least one computer is configured to identify "the amount of greenhouse gas emissions discharged by the mobile body through the movement to the power supply location and the power supply at the power supply location" by learning big data related to the movement route to the power supply location, big data related to the fuel consumption of the mobile body, and the like.
[0006] As a method for promoting eco-friendly power supply, there is a method of setting a higher power selling price for power selling users with better eco-indices. Here, if a price difference is provided in the power buying price when buying power from a power selling user corresponding to the power selling price for each power selling user, the power buying price when buying power from a power selling user with a better eco-index will be higher than the power buying price when buying power from a power selling user with a worse eco-index. In this case, there is a risk that the power buying user will avoid buying power from a power selling user with a better eco-index, resulting in no eco-friendly power supply being carried out.
[0007] In contrast, in the above configuration, after determining the purchase electricity price presented to the users who wish to purchase electricity as a uniform price, the selling electricity price presented to the users who wish to sell electricity and have excellent eco-indicators can be increased. From the perspective of the users who wish to purchase electricity, since there is no price difference in the purchase electricity price regardless of which user who wishes to sell electricity they purchase from, it becomes easier to purchase electricity from the users who wish to sell electricity and have excellent eco-indicators. Also, the users who wish to sell electricity will strive to improve the eco-indicators for the purpose of increasing the selling electricity price. Therefore, according to the above configuration, eco-friendly power supply can be promoted.
Brief Description of the Drawings
[0008]
Figure 1
Figure 2
Modes for Carrying Out the Invention
[0009] As shown in FIG. 1, the power trading mediation system 2 of the present embodiment is in a power supply platform 100 where an automobile 102 equipped with a rechargeable secondary battery 106 moves to a power supply location 104 and performs power supply from the automobile 102 to the power supply location 104, and mediates power trading between a user A who wishes to sell electricity and owns the automobile 102 and a user B who wishes to purchase electricity at the power supply location 104. The automobile 102 includes not only automobiles equipped only with an internal combustion engine as a prime mover but also other automobiles (for example, EV, HV, PHV, FCV). The power supply location 104 is, for example, a so-called off-grid area not connected to the power grid of an electric power company.
[0010] The terminal device 4 (e.g., smartphone, tablet, PC) owned by the electricity selling user A has installed an electricity selling app provided by the operator that offers the electricity trading mediation system 2. In the electricity selling app, information related to the electricity selling user A (in this embodiment, the electricity selling conditions) can be input. The electricity selling conditions include the amount of electricity that the electricity selling user A can supply, the travel time that the electricity selling user A allows, and the upper limit of the greenhouse gas emissions that the electricity selling user A allows. Also, in the electricity selling app, vehicle information recorded in the ECU (Electronic Control Unit) of the vehicle 102 is acquired through communication between the terminal device 4 and the ECU of the vehicle 102. The vehicle information includes the fuel efficiency of the vehicle 102, the fuel consumption rate during power supply of the vehicle 102, and the charging history of the secondary battery 106. The charging history mentioned here is, for example, information such as how much electricity generated by what power generation method was charged.
[0011] The terminal device 6 (e.g., smartphone, tablet, PC) owned by the electricity buying user B has installed an electricity buying app provided by the aforementioned operator. In the electricity buying app, information related to the electricity buying user B (in this embodiment, the electricity buying conditions) can be input. The electricity buying conditions include the amount of electricity that the electricity buying user B desires, the travel time of the electricity selling user A that the electricity buying user B allows, and the upper limit of the greenhouse gas emissions that the electricity buying user B allows.
[0012] The electricity trading mediation system 2 includes a management server 8 for the electricity selling app and the electricity buying app. The management server 8 includes at least one computer 10. The at least one computer 10 can communicate bidirectionally with each of the terminal devices 4 and 6. As a result, the information related to the aforementioned electricity selling user A and the information related to the electricity buying user B are aggregated in the at least one computer 10. Hereinafter, various processes executable by the at least one computer 10 will be described.
[0013] (Process of extracting the electricity selling user Ai) At least one computer 10 extracts a plurality of power-selling user A candidates who are potential power-buying destinations for a specific power-buying user B. Specifically, at least one computer 10 extracts a plurality of power-selling user A who have power-selling conditions that are satisfied for the power-buying user B from among the power-selling user A who satisfy the power-buying conditions of the power-buying user B. For each of the plurality of power-selling user Ai thus extracted and the power-buying user B, both the power-selling conditions and the power-buying conditions are satisfied.
[0014] In FIG. 2, an example in which six power-selling user Ai (i = 1 to 6) are extracted is shown.
[0015] (Process of calculating the eco-index Ei) At least one computer 10 identifies the amount of greenhouse gas emissions discharged by the vehicle 102 due to the movement to the power supply location 104 and the power supply at the power supply location 104 for each of the plurality of extracted power-selling user Ai. At least one computer 10 identifies, for example, the amount of greenhouse gas emissions discharged by the vehicle 102 due to the movement to the power supply location 104 based on the fuel efficiency of the vehicle 102 and the movement route from the current location of the vehicle 102 to the power supply location 104. Also, at least one computer 10 identifies the amount of greenhouse gas emissions discharged by the vehicle 102 due to the power supply at the power supply location 104 based on the amount of electric power required at the power supply location 104 and the fuel consumption rate of the vehicle 102 during power supply.
[0016] Further, at least one computer 10 identifies the ratio of renewable energy in the amount of electric power charged in the secondary battery 106 of the vehicle 102 for each of the plurality of extracted power-selling user Ai. In this embodiment, at least one computer 10 is provided with a predetermined data table in which the ratio of renewable energy is associated with each power generation method. In the data table, a relatively high ratio of renewable energy is associated with power generation methods such as solar power generation and hydroelectric power generation. At least one computer 10 identifies the ratio of renewable energy based on the charging history of the secondary battery 106 and the data table.
[0017] At least one computer 10 calculates an eco-index Ei for each of a plurality of power-selling user candidates Ai extracted based on the identified greenhouse gas emissions and the renewable energy ratio. In this specification, the description of the method for calculating the eco-index Ei is omitted.
[0018] The eco-index Ei shown in FIG. 2 is represented by a numerical value between 0 and 100. The higher the eco-index Ei of a user with less identified greenhouse gas emissions and a higher identified renewable energy ratio, the higher the numerical value. On the other hand, the lower the eco-index Ei of a user with more identified greenhouse gas emissions and a lower identified renewable energy ratio, the lower the numerical value.
[0019] (Process for determining the selling electricity price Vi) At least one computer 10 determines a uniform electricity purchase price X to be presented to the electricity purchase user candidate B (in the example of FIG. 2, X = 1000 [yen / kWh]). In this specification, the description of the method for determining the electricity purchase price X is omitted. Then, at least one computer 10 determines the selling electricity price Vi for each of the plurality of power-selling user candidates Ai according to the following formula (1). ·Vi = X + {C·(Ei - Eave)} / σ (1) Here, Eave is the average value of the eco-index Ei. σ is the standard deviation calculated from the eco-index Ei and its average value Eave. C is an arbitrary constant.
[0020] Formula (1) is set according to formula (2) for obtaining the deviation value Ti of the eco-index Ei. From formulas (1) and (2), the selling electricity price Vi can be expressed as formula (3). ·Ti = 50 + {10·(Ei - Eave)} / σ (2) ·Vi = X + (C / 10)·(Ti - 50) (3)
[0021] As can be seen from formula (3), a price difference corresponding to the deviation value Ti of the eco-index Ei is provided in the selling electricity price Vi.
[0022] (Modification example) In the above embodiment, the uniform power purchase price X may be increased, decreased, or changed according to various factors. For example, the uniform power purchase price X may be increased, decreased, or changed according to the number of registered users of the power selling app (or power purchase app).
[0023] In the above embodiment, the power selling app and the power purchase app may be separate applications from each other, or may be the same application.
[0024] In the above embodiment, the configuration in which at least one computer 10 mainly identifies the greenhouse gas emissions associated with the combustion of fuel (referred to as apparent greenhouse gas emissions) has been described. In another embodiment, at least one computer 10 may identify not only the apparent greenhouse gas emissions but also the greenhouse gas emissions corresponding to the amount of power consumed (referred to as potential greenhouse gas emissions). For example, at least one computer 10 may identify the amount of power consumed by the movement to the power supply location 104 from the electricity bill of the automobile 102 (EV in this example). Then, at least one computer 10 may identify the estimated greenhouse gas emissions associated with the generation of the amount of power as the greenhouse gas emissions discharged by the movement to the power supply location 104.
Explanation of Reference Numerals
[0025] 2: Power trading intermediation system, 4, 6: Terminal device, 8: Management server, 10: At least one computer, 100: Power supply platform, 102: Automobile, 104: Power supply location, 106: Secondary battery
Claims
【Claim 1】 In a power supply platform where a rechargeable mobile object moves to a power supply location and power is supplied from the mobile object to the power supply location, a power trading mediation system that mediates power trading between a power selling user who owns the mobile object and a power buying user who wishes to buy power at the power supply location, comprising at least one computer, the at least one computer performs a process of extracting a plurality of power selling users who satisfy the power buying conditions of the power buying user and have power selling conditions that are satisfied for the power buying user, for each of the plurality of extracted power selling users, based on the greenhouse gas emissions amount discharged by the mobile object due to the movement to the power supply location and the power supply at the power supply location, and the ratio of renewable energy in the amount of power charged to the mobile object, performs a process of calculating an eco-index for the power supply by the power selling user, performs a process of determining, for each power selling user, the power selling price to be presented to the plurality of power selling users based on the uniform power buying price presented to the power buying user and the calculated eco-index, is capable of executing, a price difference corresponding to the deviation value of the eco-index is provided in the power selling price determined for each power selling user, Power trading mediation system.
Citation Information
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