Information processing device and power trading system

Abstract

To prevent electricity of a battery of an electric vehicle used as a shop from being depleted during business.SOLUTION: In a direct trading market formed at an event site 100, an agent 2B of a power supply vehicle 10 predicts a unit price of electricity (first predictive unit price of electricity) which an agent 2C of a commercial electric vehicle 9 performing e-commerce at the event site 100 will bid, and makes a bid on the basis of the first predictive unit price of electricity in every unit time zone. When predicting the first predictive unit price of electricity, the agent 2B of the power supply vehicle 10 calculates a value indicating how successful the event is (first predictive success value). The agent 2B of the power supply vehicle 10 predicts the first predictive unit price of electricity on the basis of the first predictive success value. The agent 2B of the power supply vehicle 10 makes an electricity trading plan based on the first predictive unit price of electricity and makes a bid based on the electricity trading plan.SELECTED DRAWING: Figure 15

Description

[Technical field]

[0001] The present disclosure relates to an information processing device and an energy trading system. [Background technology]

[0002] JP 2020-150726 A (Patent Document 1) discloses an electricity supply and demand management system including an energy management system that manages electricity at a facility that is a consumer of electricity, and an electricity supply and demand management device that submits electricity bids to the Japan Electric Power Exchange. The electricity supply and demand management device calculates an imbalance amount that may occur within a bidding unit time based on the amount of electricity bid, the power value currently used at the facility, and the power value predicted to be used at the facility after the bidding unit time. The electricity supply and demand management device then calculates a control amount required to reduce the imbalance amount to zero and transmits this control amount to the energy management system. The control amount is transmitted from the energy management system to the battery and load of the facility, and the battery and load are controlled according to the control amount. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2020-150726 A Summary of the Invention [Problem to be solved by the invention]

[0004] In recent years, electric vehicles using batteries as at least a power source have become more widespread. Accordingly, the ways in which electric vehicles are used have increased. For example, electric vehicles are used not only as a means of transportation but also as mobile stores. Electric vehicles are used as stores on the road, in event spaces, etc.

[0005] However, on the street, in an event space, and the like, there are cases where it is not possible to connect to a power source. In such a case, if the business of the store is more prosperous than expected, the battery power may run out during business. Interrupting business to charge the battery may cause a large loss. On the other hand, installing a spare battery in preparation for the battery power running out may take up space in the electric vehicle or cause trouble for the user.

[0006] The present disclosure has been made to solve the above-mentioned problems, and has an object to prevent the battery power of an electric vehicle being used as a store from running out during business. [Means for solving the problem]

[0007] (1) An information processing device according to an aspect of the disclosure is an information processing device that executes a bid for a first mobile body to conduct an energy trade through an energy trading market with a server that manages an energy trading market in which a contract is executed at a predetermined location. A second mobile body equipped with a battery is parked at the predetermined location. The second mobile body is engaged in a predetermined business at the predetermined location using power from the battery. The information processing device includes a communication device configured to be able to communicate with the server, and a control device that creates an energy trading plan for the first mobile body to conduct an energy trade through the energy trading market. The control device acquires, from the server via the communication device, predetermined information including at least information indicating a type of the predetermined business conducted by the second mobile body and information indicating a date and time when the predetermined business is conducted, predicts an electricity unit price that the second mobile body will bid for the server based on a unit price of electricity provided by an electric power company and a prosperity of the predetermined business predicted using the predetermined information, creates an energy trading plan based on the predicted electricity unit price, and executes a bid based on the created energy trading plan.

[0008] According to the above configuration, the information processing device predicts the unit price of electricity based on the unit price of electricity provided by the power company and a prediction of the prosperity of the business conducted by the second mobile body, and executes a bid based on an electricity trading plan that reflects the predicted unit price of electricity. By predicting the unit price of electricity based on the prediction of the prosperity of the business, a bid that is likely to be accepted by the second mobile body can be made. When the bid is agreed upon, the first mobile body can carry out a desired electricity transaction, and the second mobile body can procure electricity while continuing a predetermined business. This makes it possible to prevent the battery power of the second mobile body from running out during business.

[0009] (2) In one embodiment, the information processing device further includes a storage device that stores a map having at least the type of business and the date and time of the business as arguments. The control device uses the predetermined information and the map to predict the degree of prosperity.

[0010] According to the above configuration, by using the map stored in the storage device, it is possible to improve the accuracy of predicting the prosperity of the business conducted by the second mobile object.

[0011] (3) In one embodiment, the predetermined information further includes location information of the predetermined location. The map further includes the location where the business is conducted as an argument. The control device uses the predetermined information and the map to predict the prosperity.

[0012] According to the above configuration, by further using information on the predetermined place (the location where the business is conducted) in predicting the degree of prosperity of the business conducted by the second mobile object, it is possible to further improve the accuracy of prediction of the degree of prosperity.

[0013] (4) In one embodiment, the control device determines whether or not to place a bid based on at least one of the distance and time required to travel from the current location of the first mobile object to the location of the specified place.

[0014] Depending on the current location of the first moving body, it may not be possible to move to a predetermined location (place where the contract is to be executed) by the time the contract is to be executed. According to the above configuration, whether or not to execute a bid is determined in advance based on at least one of the distance and time required to move from the current location of the first moving body to the location of the predetermined place, so that it is possible to prevent a situation in which a contract is made but the first moving body is unable to move to the predetermined place by the time the contract is to be executed and therefore the contract cannot be executed.

[0015] (5) In one embodiment, the degree of prosperity is represented as a numerical value. When the value indicating the degree of prosperity is greater than a reference value, the control device creates an energy trading plan for making a sell bid.

[0016] When the value indicating the degree of prosperity is greater than the reference value, there is a high possibility that the second mobile unit will request a bid to buy electricity. According to the above configuration, when the value indicating the degree of prosperity is greater than the reference value, an electricity trading plan for making a selling bid is created, thereby increasing the possibility that the bid will be concluded.

[0017] (6) In one embodiment, the control device creates an energy trading plan to place a buying bid if the value indicating the degree of prosperity is less than a reference value.

[0018] When the value indicating the degree of prosperity is smaller than the reference value, there is a high possibility that the second mobile unit will request a bid to sell electricity. According to the above configuration, when the value indicating the degree of prosperity is smaller than the reference value, an electricity trading plan for making a bid to buy electricity is created, thereby increasing the possibility that the bid will be concluded.

[0019] (7) An information processing device according to another aspect of the disclosure is an information processing device that executes a bid for a mobile body to conduct an energy trade through an energy trading market with a server that manages an energy trading market in which a contract is executed at a predetermined location. The mobile body is equipped with a battery and performs a predetermined business at a predetermined location using power from the battery. The information processing device includes a communication device configured to be able to communicate with the server, a storage device that stores predetermined information including at least information indicating a type of the predetermined business and information indicating a date and time when the predetermined business is performed, and a control device that creates an energy trading plan for the mobile body to conduct an energy trade through the energy trading market. The control device calculates an energy unit price to be bid to the server based on the unit price of electricity provided by the power company, a prosperity of the predetermined business predicted using the predetermined information, and an amount of stored power in the battery, creates an energy trading plan based on the calculated energy unit price, and executes a bid based on the created energy trading plan.

[0020] According to the above configuration, the unit price of electricity to be bid to the server is calculated based on the unit price of electricity provided by the power company, the predicted prosperity of the predetermined business predicted using the predetermined information, and the amount of electricity stored in the battery. For example, when it is predicted that the battery will run out of electricity, the unit price of electricity to be bid can be set high to increase the possibility of a contract. Therefore, it is possible to prevent the battery from running out of electricity during the predetermined business.

[0021] (8) In one embodiment, the storage device further stores a map having as arguments at least a type of business and a date and time when the business is conducted. The control device uses the predetermined information and the map to predict the prosperity of the predetermined business.

[0022] According to the above configuration, by using the map stored in the storage device, it is possible to improve the accuracy of predicting the prosperity of a business conducted by a mobile object.

[0023] (9) In one embodiment, the predetermined information further includes location information of the predetermined place. The map further includes a location where the business is conducted as an argument. The control device uses the predetermined information and the map to predict the prosperity.

[0024] According to the above configuration, by further using information on a predetermined location (a location where the business is conducted) in predicting the prosperity of a business conducted by a mobile object, it is possible to further improve the accuracy of prediction of the prosperity.

[0025] (10) In one embodiment, the storage device further includes information indicating the power consumption of the mobile object and information indicating the power consumption of an electrical device brought into the mobile object. The control device predicts a transition in the power consumption amount based on the information indicating the power consumption of the mobile object and the information indicating the power consumption of the electrical device and the predicted prosperity, and creates an electricity trading plan for making a purchase bid when it is predicted that the amount of stored electricity in the battery will fall below a reference amount of stored electricity.

[0026] According to the above configuration, it is possible to create an appropriate energy trading plan that does not deplete the battery power of a mobile unit.

[0027] (11) An energy trading system according to another aspect of the disclosure includes a server that manages an energy trading market in which a predetermined location is a contract execution location, a first information processing device that executes a bid for a first mobile body to perform an energy trade through the energy trading market, and a second information processing device that executes a bid for a second mobile body to perform an energy trade through the energy trading market. The second mobile body is equipped with a battery and performs a predetermined business at a predetermined location using power from the battery. The first information processing device predicts the prosperity of the predetermined business, predicts an electricity unit price that the second information processing device will bid to the server based on the unit price of electricity provided by the power company and the predicted prosperity of the predetermined business, creates an energy trading plan based on the predicted electricity unit price, and executes a bid based on the created energy trading plan. The second information processing device predicts the prosperity of the predetermined business, calculates an electricity unit price that will be bid to the server based on the unit price of electricity provided by the power company, the predicted prosperity of the predetermined business, and the amount of electricity stored in the battery, creates an energy trading plan based on the calculated electricity unit price, and executes a bid based on the created energy trading plan. The server matches the bid received from the first information processing device with the bid received from the second information processing device in accordance with a predetermined rule.

[0028] According to the above configuration, the first information processing device predicts the prosperity of a specific business conducted by the second mobile body, predicts the unit price of electricity that the second information processing device of the second mobile body will bid on the server, and executes a bid based on this unit price of electricity. The second information processing device predicts the prosperity of the specific business, calculates the unit price of electricity taking into consideration the amount of electricity stored in the battery, and executes a bid based on this unit price of electricity. In this way, the first information processing device and the second information processing device execute a bid based on the prediction of the prosperity of a specific business conducted by the second mobile body, thereby increasing the possibility that both bids will be agreed upon. Therefore, it is possible to prevent the battery power of the second mobile body from running out during a business.

[0029] (12) In one embodiment, the predetermined location includes a parking space that can accommodate a predetermined number of vehicles. If the bid is agreed, the first mobile object parks in the parking space to fulfill the agreement. The server includes a condition that the parking space is available as a condition for agreeing to the bid of the first information processing device.

[0030] According to the above configuration, it is possible to prevent a situation in which a bid is agreed upon but the agreement cannot be executed because there are no vacant parking spaces.

[0031] According to the above configuration, for example, when an electric vehicle is traveling and comes within a predetermined distance from a location where an agreement is made in the energy trading market, a signal proposing an energy transaction (proposal signal) is transmitted from the second server to the information processing device. By receiving the proposal signal, the information processing device can recognize that an energy transaction is possible in the vicinity. This allows the information processing device to adopt the proposal and make a bid to the first server that manages the energy trading market. If this bid is agreed, the electric vehicle can receive power through the energy trading market. In this way, the energy trading system can increase the opportunities for charging electric vehicles. Effect of the Invention

[0032] According to the present disclosure, it is possible to prevent the battery power of an electric vehicle being used as a store from running out during business. [Brief description of the drawings]

[0033] [Figure 1] FIG. 1 is a diagram for explaining an example of an energy trading system according to an embodiment. [Diagram 2] FIG. 1 is a diagram illustrating an example of a P2P energy trading market. [Diagram 3] FIG. 1 is a diagram illustrating an example of a bid in a general trading market for P2P energy trading. [Figure 4] FIG. 1 is a diagram illustrating an example of a bidding in a direct trading market for P2P energy trading. [Diagram 5]FIG. 13 is a diagram illustrating another example of bidding in the direct trading market of P2P energy trading. [Figure 6] FIG. 13 is a schematic diagram showing a second direct trading market formed at the event venue. [Figure 7] FIG. 2 is a diagram illustrating an example of the hardware configuration of an electric vehicle agent, a power supply vehicle agent, a commercial electric vehicle agent, and a trading market server. [Figure 8] FIG. 4 is a diagram illustrating an example of resource information. [Figure 9] FIG. 11 is a diagram illustrating an example of agent information. [Figure 10] FIG. 11 is a diagram illustrating an example of event information. [Figure 11] FIG. 2 is a block diagram showing the functional configuration of a processor of a market trading server. [Figure 12] FIG. 2 is a block diagram showing the functional configuration of an agent of a power supply vehicle. [Figure 13] FIG. 2 is a block diagram showing the functional configuration of an agent for a commercial electric vehicle. [Figure 14] 11 is a flowchart showing a procedure of a process for executing a contract in a direct trading market formed at an event venue, the process being executed by a processor of a trading market server. [Figure 15] 13 is a flowchart showing the procedure of a process for bidding on a direct trading market formed at an event venue, the process being executed by an agent of a power supply vehicle or an agent of an electric vehicle. [Figure 16] 11 is a flowchart showing the procedure of a process executed by an agent of a commercial electric vehicle regarding bidding in a direct transaction market formed at an event venue. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0034] Hereinafter, embodiments of the present disclosure will be described in detail with reference to the drawings. In the drawings, the same or corresponding parts are designated by the same reference characters and their description will not be repeated.

[0035] <Electricity trading system configuration> FIG. 1 is a diagram for explaining an example of an energy trading system 1 according to an embodiment. With reference to FIG. 1, the energy trading system 1 includes a trading market server 3, electric vehicles 5A-5E, charging / discharging facilities 6A-6H, a factory 7A, a company 7B, a commercial facility 7C, a residence 7D, a store 7E, an electric power company 8, commercial electric vehicles 9A and 9B, power supply vehicles 10A-10C, and a power transmission line network PL. The electric vehicles 5A-5E, the factory 7A, the company 7B, the commercial facility 7C, the residence 7D, the store 7E, the commercial electric vehicles 9A and 9B, and the power supply vehicles 10A-10C are power resources in the energy trading system 1, and function as so-called prosumers. Each power resource is configured to be able to exchange power with another power resource via the power transmission line network PL or directly.

[0036] The number of electric vehicles, the number of charging / discharging facilities, the number of commercial electric vehicles, and the number of power supply vehicles are not limited to the numbers shown in the figure. The facilities such as the factory 7A are not limited to those shown in the figure. In the following, the electric vehicles 5A to 5E may be referred to as "electric vehicles 5" without distinction. The charging / discharging facilities 6A to 6H may be referred to as "charging / discharging facilities 6" without distinction. The factory 7A, the company 7B, the commercial facility 7C, the house 7D, and the store 7E may be referred to as "facilities 7" without distinction. The commercial electric vehicles 9A and 9B may be referred to as "commercial electric vehicles 9" without distinction. The power supply vehicles 10A to 10C may be referred to as "power supply vehicles 10" without distinction. In the following, the electric vehicles 5, the commercial electric vehicles 9, and the power supply vehicles 10 may be referred to collectively as "mobile bodies".

[0037] The electric vehicle 5 is an electric vehicle that can run using electric power stored in a battery. The electric vehicle 5 is electrically connected to a charging / discharging facility 6, and is configured to be capable of charging and discharging the battery through the charging / discharging facility 6. The electric vehicle 5 may be, for example, an electric vehicle (BEV: Battery Electric Vehicle) or a plug-in hybrid vehicle (PHEV: Plug-in Hybrid Electric Vehicle). FIG. 1 shows an example in which the electric vehicle 5 is a BEV. The electric vehicle 5 is configured to be electrically connected to the charging / discharging facility 6, and is capable of receiving and sending electric power to and from the power transmission network PL, a facility 7, or another mobile object through the charging / discharging facility 6. The electric vehicle 5 may also be configured to be capable of receiving and sending electric power to and from another mobile object through a power cable.

[0038] The commercial electric vehicle 9 is an electric vehicle that can run using power stored in a battery. For example, the commercial electric vehicle 9 is an electric car. The commercial electric vehicle 9 may be a plug-in hybrid vehicle. The commercial electric vehicle 9 can drive various on-board devices using the power stored in the battery. The on-board devices may include various electric devices such as lighting, an air conditioner, an electric stove, and an electric oven. The commercial electric vehicle 9 can be used, for example, as a mobile store that utilizes the on-board devices. In this embodiment, the commercial electric vehicle 9 is used as a store in an event space or the like, as described later. Hereinafter, a business that uses the commercial electric vehicle 9 as a store is also referred to as an "E-business."

[0039] The power supply vehicle 10 is a power source vehicle for supplying power to other vehicles. The power supply vehicle 10 belongs to, for example, a facility 7 or an individual. When an electricity transaction is agreed upon in the direct trading market described below, the power supply vehicle 10 moves to a predetermined location determined as the execution location of the agreement and exchanges electricity with the other party to the agreement. The power supply vehicle 10 may be any vehicle equipped with a battery for exchange of electricity with the other party to the agreement, and may be, for example, an electric vehicle, a plug-in hybrid vehicle, a hybrid vehicle, or a vehicle powered by an internal combustion engine (a so-called conventional vehicle). Even if the power supply vehicle 10 is a hybrid vehicle or a conventional vehicle, the power supply vehicle 10 is provided with a charging port for connecting a power cable.

[0040] The facility 7 is electrically connected to the power transmission network PL and can receive and transmit electric power to and from the power transmission network PL. The facility 7 is also electrically connected to the charging / discharging equipment 6 and can receive and transmit electric power to and from mobile objects (electric vehicle 5, commercial electric vehicle 9, power supply vehicle 10) connected to the charging / discharging equipment 6. The facility 7 is equipped with a battery that stores electric power and is configured to enable charging and discharging of the battery via the power transmission network PL or the charging / discharging equipment 6.

[0041] The charging / discharging equipment 6 is electrically connected to the power transmission line network PL or a facility 7. The charging / discharging equipment 6 is equipped with a power cable. The charging / discharging equipment 6 can be electrically connected to mobile objects (electric vehicle 5, commercial electric vehicle 9, power supply vehicle 10) via the power cable, and the mobile objects can receive and transmit power to and from the power transmission line network PL or the facility 7 via the charging / discharging equipment 6 to which it is connected.

[0042] Power company 8 manages a power plant (not shown). Electric power generated by the power plant is supplied to each facility 7 through a power transmission network PL (power grid), and can also be supplied to mobile objects connected to charging / discharging facilities 6A to 6C.

[0043] Conventionally, electricity has been supplied to facilities 7, electric vehicles 5, etc. from power plants of electric power company 8 through a power transmission network PL. With the recent liberalization of electricity and the spread of renewable energy power generation technology, electricity trading between individuals or corporations that have electricity resources, rather than being limited to electric power companies 8, is being considered. In the electricity trading system 1 according to this embodiment, electricity trading between individuals or corporations, i.e., P2P (Peer to Peer) electricity trading, can be carried out.

[0044] The market server 3 provides a platform for carrying out P2P energy trading. The market server 3 is configured to be able to communicate with the electric vehicle 5, the charging / discharging equipment 6, the facility 7, the commercial electric vehicle 9, and the power supply vehicle 10 through a communication network. As will be described in detail later, a plurality of energy trading markets are formed in the market server 3. When a mobile object (the electric vehicle 5, the commercial electric vehicle 9, and the power supply vehicle 10) or the facility 7 wishes to carry out P2P energy trading, the mobile object (more specifically, an agent that executes the energy trading of the mobile object (described later)) or the facility 7 (more specifically, an agent that executes the energy trading of the facility 7 (described later)) specifies the energy trading market in which it wishes to carry out the energy trading and submits a bid to the market server 3 with bidding conditions such as the time period in which it is desired to buy and sell the energy, the amount of energy bought and sold per unit time period, and the trading price. The market server 3 issues an agreement for energy trading between a seller and a buyer who meet the bidding conditions by an arbitrary algorithm, and processes a bid for which no other party matching the conditions is found as a non-contract. "Bidding" refers to the act of placing an order for an energy transaction (purchase or sale) or the order itself. "Contract" refers to the act of deciding to carry out the bidded energy transaction or the decision itself.

[0045] FIG. 2 is a diagram showing a schematic diagram of an example of a P2P energy trading market. Referring to FIG. 2, in the P2P energy trading market, an "agent" that executes a bid on the P2P energy trading market plans and executes the bid, manages the agreement, creates a charge / discharge plan based on the agreement, and so on. An agent is provided for each mobile body and facility 7. In FIG. 2, mobile body agents 2A and 2D corresponding to an electric vehicle 5, a mobile body agent 2B corresponding to a power supply vehicle 10, a mobile body agent 2C corresponding to a commercial electric vehicle 9, a plurality of business agent agents 2E to 2H corresponding to a factory 7A, etc., and a plurality of residential agents 2I and 2J corresponding to residential houses are representatively illustrated. For example, in the case of a mobile body, an energy trading plan (bidding plan) for the P2P energy trading market is created in the corresponding mobile body agent, and the mobile body agent executes a bid on the P2P energy trading market (trading market server 3).

[0046] In the following, the mobile agents 2A to 2D, the business operators' agents 2E to 2H, and the residential agents 2I and 2J may be referred to as "agents 2" without distinction. The agents 2 are "information processing devices" that create an energy trading plan for corresponding energy resources to trade energy through the P2P energy trading market.

[0047] In the P2P energy trading market, there are a "general trading market" and a "direct trading market". In this embodiment, the general trading market and the direct trading market are formed in the trading market server 3. The general trading market is a market that handles trading of electricity transmitted through the power transmission line network PL, and an unspecified number of agents 2 can participate in the energy trading. In the general trading market, an agreement for energy trading is made (matching) according to any rule determined by an operator that manages the P2P energy trading market. As a matching rule, for example, when a seller's proposed price and a buyer's proposed price match in a predetermined unit time period, a transaction is made on a first-come, first-served basis. As another matching rule, a method of making a transaction at an appropriate price after first sorting out bids (orders) made by sellers and buyers in a unit time period is also possible.

[0048] Fig. 3 is a diagram for explaining an example of bidding in a general trading market for P2P energy trading. With reference to Fig. 3, in the general trading market, an unspecified number of sellers bid a pair (p, q) of a selling price and an amount of energy for each predetermined unit time slot (1, 2, ... n), while an unspecified number of buyers bid a pair (P, Q) of a purchase price and an amount of energy. Note that the unit time slot is a time span (e.g., 30 minutes) set in the general trading market. The trading of the amount of energy is carried out for each amount of energy (power x length of unit time slot) transmitted within the unit time slot.

[0049] Referring again to FIG. 2, the direct trading market is a market that handles trading of electricity transmitted without passing through the power grid PL when a mobile object moves to the location of the facility 7 or a location designated by the facility 7, and only agents having an ID of the direct trading market can participate in the electricity trading. In the direct trading market, one market is formed for the facility 7 where the charging / discharging equipment 6 is installed. In the direct trading market, an agreement for electricity trading is made (matching) according to any rule that is independently determined by the operator of each market. As the matching rule, the above-mentioned method described for the general trading market can be adopted. In this embodiment, the trading market server 3 manages the general trading market and the direct trading market according to the matching rule for each P2P energy trading market (general trading market and direct trading market), but a server equivalent to the trading market server 3 may be provided for each P2P energy trading market.

[0050] FIG. 4 is a diagram for explaining an example of bidding in a direct trading market for P2P energy trading. In the direct trading market shown in FIG. 4, a seller presents a pair (p, q) of a selling price and an amount of energy for each predetermined unit time slot (1, 2, ... n), and multiple buyers having IDs of the direct trading market bid a pair (P, Q) of a purchase price and an amount of energy. A unit time slot is a time span individually set in the direct trading market. Energy trading is performed for each amount of energy transmitted within a unit time slot (power x length of unit time slot). In the following, the direct trading market shown in FIG. 4 is also referred to as a "first direct trading market."

[0051] FIG. 5 is a diagram for explaining another example of bidding in the direct trading market of P2P energy trading. In the direct trading market shown in FIG. 5, multiple sellers having a direct trading market ID bid a pair (p, q) of a selling price and an amount of energy, while multiple buyers having a direct trading market ID bid a pair (P, Q) of a purchase price and an amount of energy. A unit time slot is a time width individually set in the direct trading market. Trading of energy is performed for each amount of energy transmitted in a unit time slot (power x length of unit time slot). In the following, the direct trading market shown in FIG. 5 is also referred to as a "second direct trading market."

[0052] Whether to form a first direct trading market or a second direct trading market can be determined by the operator of the direct trading market. For example, the operator of the direct trading market may form a first direct trading market when forming a direct trading market within the premises of the facility 7, in other words, when the place where the contract is executed is the place of the facility 7. Also, for example, the operator of the direct trading market may form a second direct trading market when forming a direct trading market in a place designated by the facility 7, in other words, when the place where the contract is executed is the place designated by the facility 7. The place designated by the facility 7 may be, for example, an event venue where a festival, concert, etc. is held.

[0053] At the event venue, it is assumed that e-commerce will be conducted using the commercial electric vehicle 9 as a store. Examples of e-commerce include the sale of food and beverages. Note that the types of e-commerce are not limited to the sale of food and beverages, and may take various forms such as the sale of goods, the provision of product manufacturing experiences, and the provision of games. In e-commerce, devices are driven using power from the battery of the commercial electric vehicle 9. The devices are on-board devices. Note that the devices may include electrical devices brought into the commercial electric vehicle 9.

[0054] Depending on how successful the E-commerce is, the battery power may be depleted during the E-commerce. Although it is conceivable to charge the battery while conducting the E-commerce, it is also assumed that the commercial electric vehicle 9 cannot be connected to a power source at the event venue. In such a case, it is required to move the commercial electric vehicle 9 to a place where it can be connected to a power source in order to charge the battery. Interrupting the E-commerce to charge the battery may cause a large loss. If the battery of the commercial electric vehicle 9 is detachable, it is conceivable to load a spare battery on the commercial electric vehicle 9 in preparation for the success of the E-commerce, but this may reduce the space inside the commercial electric vehicle 9 or cause trouble for the user of the commercial electric vehicle 9. Therefore, in this embodiment, by appropriately utilizing P2P energy trading, the depletion of power in the commercial electric vehicle 9 during the E-commerce is suppressed.

[0055] 6 is a diagram showing a schematic diagram of a second direct trading market formed at an event venue 100. At the event venue 100, four commercial electric vehicles 9A-9D are engaged in e-commerce in spaces 101-104, respectively. The operator of the direct trading market formed at the event venue 100 is, for example, a company 7B that planned the event. The trading market server 3 makes an agreement for electricity trading in accordance with rules determined by the company 7B (the operator of the direct trading market).

[0056] Each of the commercial electric vehicles 9A-9D has applied in advance to the company 7B to participate in the event. In the application for participation, at least information indicating the type of e-commerce and vehicle model information of the commercial electric vehicle 9 are transmitted to the company 7B. The vehicle model information is information used to predict the amount of power consumed by the commercial electric vehicle 9 during e-commerce, and will be described in detail later (FIG. 7). The company 7B creates event information 37 (FIG. 7) including location information of the event venue, information on the event duration, information indicating the type of e-commerce of the commercial electric vehicles 9A-9D, and vehicle model information of the commercial electric vehicles 9A-9D, and provides the event information 37 to the trading market server 3.

[0057] The market trading server 3 distributes the event information 37 to the power resources (specifically, the agent 2). The market trading server 3 may broadcast the event information 37, or distribute the event information 37 to the power resources located within a predetermined range from the location of the event venue. The predetermined range may be determined, for example, as a range within a predetermined radius from the location of the event venue. The predetermined radius is, for example, a distance within which the event venue 100 may be visited, and may be determined using past information and / or statistics. Alternatively, the market trading server 3 may distribute the event information 37 to the power resources having an ID of a direct trading market (second direct trading market) formed at the event venue 100. In FIG. 6, electric vehicles 5A and 5B, commercial electric vehicles 9A to 9D, and power supply vehicles 10A to 10C are illustrated as examples of the power resources, and the market trading server 3 distributes the event information 37 to the electric vehicles 5A and 5B, the commercial electric vehicles 9A to 9D, and the power supply vehicles 10A to 10C. In this embodiment, the power resources arriving at the event venue 100 are assumed to be electric vehicles 5A, 5B and power supply vehicles 10A-10C, but the power resources arriving at the event venue 100 may also include commercial electric vehicles 9 other than the commercial electric vehicles 9A-9D conducting e-commerce at the event venue 100.

[0058] Each of the commercial electric vehicles 9A to 9D predicts the power consumption of its own battery using a method described below, and submits a bid to the trading market server 3 (the direct trading market established at the event venue 100) based on the prediction result.

[0059] Each of the electric vehicles 5A, 5B and power supply vehicles 10A-10C decides whether or not to participate (make a bid) in the direct trading market formed at the event venue 100 using a method described below, and submits a bid to the trading market server 3 (the direct trading market formed at the event venue 100) based on the result of the decision. When a bid is agreed upon, the target electric vehicle 5 or power supply vehicle 10 moves to the event venue 100 (arrives at the event venue 100) and executes the agreement.

[0060] The parking space at the event venue 100 is limited. The event venue 100 according to the present embodiment is provided with a parking space 105 for participants in the P2P energy trading. Here, it is assumed that the parking space 105 can accommodate two vehicles. That is, a maximum of two vehicles other than the commercial electric vehicles 9A-9D can be contracted in the same unit time period. Therefore, as will be described in detail later, the trading market server 3 manages the number of parked vehicles and limits the number of mobile objects (excluding the commercial electric vehicle 9 that conducts e-commerce at the event venue 100) that can be contracted in a unit time period according to the number of vehicles that can be parked in the parking space 105.

[0061] For example, a power cable may be provided in the parking space 105 for sending and receiving power to and from the commercial electric vehicles 9 engaged in e-commerce in the spaces 101 to 104. For example, the power supply vehicle 10 that has made a contract is parked in the parking space 105 and electrically connected to the commercial electric vehicle 9 of the contracting party via the power cable, and the contract is executed in this state.

[0062] Alternatively, for example, an automatic charging robot arm may be provided in the parking space 105. The automatic charging robot arm, for example, connects a power cable to an inlet of the mobile object parked in the parking space 105 and an inlet of the target commercial electric vehicle 9 that is the contracting party of the mobile object, to electrically connect the two. The automatic charging robot arm, for example, has a function of identifying the mobile object and the commercial electric vehicle 9 parked in the parking space 105, a function of connecting a connector of the power cable to the inlet, and a function of communicating with the trading market server 3. The automatic charging robot arm may, for example, acquire information on the license plates of the contracted mobile object and the commercial electric vehicle 9 from the trading market server 3, and identify the target commercial electric vehicle 9 by reading the license plate of the mobile object parked in the parking space 105. For example, when moving from the parking space 105 to the space of the target commercial electric vehicle 9, the automatic charging robot arm selects a moving route so as not to interfere with e-commerce. For example, when the commercial electric vehicle 9 is conducting e-commerce with the left door open, the automatic charging robot arm may approach the commercial electric vehicle 9 from the direction of the right door of the commercial electric vehicle 9. In addition, the automatic charging robot arm may be attached to the power supply vehicle 10 or the electric vehicle 5.

[0063] <Hardware configuration> 7 is a diagram showing an example of the hardware configuration of an agent 2A of an electric vehicle 5, an agent 2B of a power supply vehicle 10, an agent 2C of a commercial electric vehicle 9, and a trading market server 3. Referring to FIG. 7, the agent 2A of an electric vehicle 5 includes a processor 21, a memory 22, and a communication device 23. An agent 2A is provided for each electric vehicle 5. The agent 2A may be provided in the corresponding electric vehicle 5, or may be provided in a cloud capable of communicating with the corresponding electric vehicle 5.

[0064] The processor 21 is a computing entity (computer) that executes various processes by executing various programs. The processor 21 is composed of a CPU (Central Processing Unit), an FPGA (Field-Programmable Gate Array), a GPU (Graphics Processing Unit), etc. The processor 21 may be composed of a processing circuitry.

[0065] The memory 22 stores programs and data for the processor 21 to execute various processes. The memory 22 is configured with storage media such as a read only memory (ROM) and a random access memory (RAM). The memory 22 stores a program 22A and resource information 22B.

[0066] The program 22A specifies the processes executed by the processor 21. For example, the program 22A includes a program for making a bid to the market server 3 for energy trading in the P2P energy trading market managed by the market server 3.

[0067] The resource information 22B includes information on the power resource (electric vehicle 5) corresponding to the agent 2A, and in particular includes information on bidding and agreement for power trading.

[0068] Fig. 8 is a diagram showing an example of the resource information 22B. Fig. 8 shows the resource information 22B in the agent 2A (mobile agent) of the electric vehicle 5. Referring to Fig. 8, the resource information 22B includes an ID, type information, trip information, SOC (State Of Charge) information, connection information, bidding information, contract information, a charge / discharge plan, and charge / discharge performance.

[0069] The ID includes identification information for identifying the electric vehicle 5. The type information includes information on the type of power resource. The information on the type of power resource includes, for example, information for identifying an electric vehicle, a commercial electric vehicle, a power supply vehicle, a business, a house, or the like. FIG. 8 shows an example of the agent 2A, so the type information includes information for identifying the electric vehicle. For example, resource information 25B (described later) held by the agent 2B of the power supply vehicle 10 includes, for example, information for identifying the power supply vehicle. Furthermore, resource information 28B (described later) held by the agent 2B of the commercial electric vehicle 9 includes, for example, information for identifying the commercial electric vehicle. The trip information includes information on the driving history such as the past driving route and driving time. The SOC information includes information on the amount of power (amount of stored electricity) currently stored in the battery. The connection information includes information for identifying whether or not the battery is currently connected to the charging / discharging facility 6 or another mobile object. The bidding information includes information on the past bidding history and information on the currently held bidding. The contract information includes information on the past contract history and information for identifying whether or not the currently held bidding has been contracted. The charge / discharge plan includes information on a charge / discharge plan of the power resource based on the agreement, and the charge / discharge performance includes information on the result of charging / discharging according to the charge / discharge plan.

[0070] Referring back to FIG. 7, the communication device 23 transmits and receives various data to and from the market trading server 3 through the communication network.

[0071] The agent 2B of the power supply vehicle 10 has basically the same configuration as the agent 2A of the electric vehicle 5. The agent 2B of the power supply vehicle 10 includes a processor 24, a memory 25, and a communication device 26. An agent 2B is provided for each power supply vehicle 10. The agent 2B may be provided in the corresponding power supply vehicle 10, or may be provided in a cloud capable of communicating with the corresponding power supply vehicle 10.

[0072] The processor 24 is a computing entity (computer) that executes various processes by executing various programs. The processor 24 is configured with a CPU, an FPGA, a GPU, etc. The processor 24 may be configured with an arithmetic circuit.

[0073] The memory 25 stores programs and data for executing various processes by the processor 24. The memory 25 is configured with storage media such as a ROM and a RAM. The memory 25 stores a program 25A and resource information 25B.

[0074] The program 25A specifies the processes executed by the processor 24. For example, the program 25A includes a program for submitting to the market server 3 a bid for energy trading in the P2P energy trading market managed by the market server 3.

[0075] The resource information 25B includes information about the power resource (power supply vehicle 10) corresponding to the agent 2B, and in particular, includes information about the bidding and agreement of the power transaction. The resource information 25B is basically similar to the above-mentioned resource information 22B, and therefore the description thereof will not be repeated.

[0076] The communication device 26 transmits and receives various data to and from the market trading server 3 via the communication network.

[0077] The agent 2C of the commercial electric vehicle 9 includes a processor 27, a memory 28, and a communication device 29. The agent 2C is provided for each commercial electric vehicle 9. The agent 2C may be provided in the corresponding commercial electric vehicle 9, or may be provided in a cloud capable of communicating with the corresponding commercial electric vehicle 9.

[0078] The processor 27 is a computing entity (computer) that executes various processes by executing various programs. The processor 27 is configured with a CPU, an FPGA, a GPU, etc. The processor 27 may be configured with an arithmetic circuit.

[0079] The memory 28 stores programs and data for the processor 27 to execute various processes. The memory 28 is configured with storage media such as ROM and RAM. The memory 28 stores a program 28A, resource information 28B, e-commerce information 28C, and calendar information 28D.

[0080] The program 28A specifies the processes executed by the processor 27. For example, the program 28A includes a program for submitting to the market server 3 a bid for energy trading in the P2P energy trading market managed by the market server 3.

[0081] The resource information 28B includes information on the electric power resource (commercial electric vehicle 9) corresponding to the agent 2C, and in particular, includes information on the bidding and agreement of the electric power transaction. The resource information 28B is basically similar to the above-mentioned resource information 22B, and therefore the description thereof will not be repeated.

[0082] The e-commerce information 28C includes information indicating the type of e-commerce that the corresponding electric commercial vehicle 9 conducts at the event venue 100.

[0083] Calendar information 28D includes information on the date and time when the event is held. Furthermore, calendar information 28D includes weather information for the date and time when the event is held. The weather information includes, for example, information on the temperature, weather, wind speed, amount of solar radiation, etc. for each unit time period. The weather information can be obtained, for example, from an external server (not shown) that provides weather information.

[0084] The communication device 29 transmits and receives various data to and from the market trading server 3 via the communication network.

[0085] The market server 3 includes a processor 31, a memory 32, and a communication device 33. The market server 3 is a device that manages P2P energy trading between power resources in the P2P energy trading market (the general trading market and the direct trading market), and executes processes related to the energy trading.

[0086] The processor 31 is a computing entity (computer) that executes various processes by executing various programs. The processor 31 is configured with a CPU, an FPGA, a GPU, etc. The processor 31 may be configured with an arithmetic circuit.

[0087] The memory 32 stores programs and data for the processor 31 to execute various processes. The memory 32 is composed of storage media such as ROM and RAM. The memory 32 stores a program 35, agent information 36, event information 37, and market information 38.

[0088] The program 35 specifies the processing to be executed by the processor 31. For example, the program 35 includes a program for executing a bidding process for accepting bids from a plurality of agents 2, and a contract process based on the bids. The contract process effects a contract for an electricity transaction between a seller and a buyer who meet the bidding conditions, and processes a bid for which no other party meeting the conditions is found as a non-contract.

[0089] The agent information 36 includes information about the agents 2 participating in the P2P energy trading market managed by the trading market server 3, and in particular includes information about the bids and agreements for energy trading for each agent 2.

[0090] Fig. 9 is a diagram showing an example of the agent information 36. Referring to Fig. 9, the agent information 36 includes an ID, type information, bid information, and contract information.

[0091] The ID includes identification information for identifying an agent 2 participating in the P2P energy trading market managed by the trading market server 3. The type information includes information on the type of power resource, such as information for identifying an electric vehicle, a commercial electric vehicle, a power supply vehicle, etc. FIG. 9 illustrates an example of agent information 36 related to a direct trading market formed at an event venue 100. The type information in the agent information 36 related to the first direct trading market may further include information for identifying a business operator, a residence, etc. The bidding information includes information on the past bidding history of each agent 2 and information on a currently held bid. The contract information includes information on the past contract history of each agent 2 and information for identifying whether a currently held bid has been contracted or not.

[0092] 7 again, the event information 37 is acquired from the organizer of the event (company 7B in this embodiment) as described above. The event information 37 includes location information of the event venue, information on the date and time when the event is held (date and time information), information indicating the type of E-commerce of the commercial electric vehicles 9A-9D (type information), and vehicle type information of the commercial electric vehicles 9A-9D.

[0093] Fig. 10 is a diagram showing an example of event information 37. Referring to Fig. 10, event information 37 includes location information, date and time information, type information, and vehicle model information.

[0094] The location information is information for identifying the location (address) of the event venue 100. The location information may be, for example, information indicating an address or information indicating latitude and longitude.

[0095] The date and time information is information that indicates the date and time when an event is held. For example, the date and time information includes information that indicates the date when the event is held and information that indicates the time when the event is held (start time and end time).

[0096] The type information is information indicating the type of e-business of the commercial electric vehicle 9 that will be set up at the event. In this embodiment, four commercial electric vehicles 9A to 9D will be set up at the event, and so type information on the commercial electric vehicles 9A to 9D is included. In the example shown in Fig. 10, the e-business type of the three commercial electric vehicles 9A and 9C to 9D is food and drink, and the e-business type of the commercial electric vehicle 9 is sale of goods.

[0097] The vehicle type information is information on the vehicle specifications of the commercial electric vehicle 9 exhibited at the event. Specifically, it includes information on the battery mounted in the commercial electric vehicle 9 and information on the specifications of the on-board electrical equipment (e.g., information on rated power). The battery information includes, for example, a full charge capacity and a capacity maintenance rate. Furthermore, the vehicle type information includes information on the specifications of the electrical equipment brought into the commercial electric vehicle 9 (e.g., information on rated power). The user of the commercial electric vehicle 9 may report the electrical equipment brought into the commercial electric vehicle 9 to the event organizer in accordance with the e-commerce schedule. The vehicle type information is used to predict the amount of power consumption consumed by the commercial electric vehicle 9 during e-commerce.

[0098] Referring again to FIG. 7, the market information 38 is created by the processor 31 and provided to each agent 2 (including agents 2A, 2C, and 2B). The market information 38 is prepared for each direct trading market and includes, for example, grid information including supply and demand information of grid power provided by the power company 8, and information on the electricity quotes of each P2P electricity trading market. The grid information may include information on the price of grid power provided by the power company 8, and / or information on renewable energy power generation facilities (photovoltaic power generation facilities, wind power generation facilities, hydroelectric power generation facilities, etc.) that transmit electricity to the power transmission grid PL. The market information 38 is used by each agent 2 to predict the market price of electricity in the direct trading market. In addition to the above, the market information 38 may include various other information used to predict the market price of electricity.

[0099] The communication device 33 transmits and receives various data to and from the agent 2 through the communication network.

[0100] The following describes in detail the functional configuration for conducting electricity trading in the direct trading market formed at the event venue 100.

[0101] 11 is a block diagram showing the functional configuration of the processor 31 of the market server 3. The processor 31 of the market server 3 includes an event information acquisition unit 310, an event information transmission unit 320, a grid information acquisition unit 330, a market information creation unit 340, a bid reception unit 350, and a contract unit 360. For example, the processor 31 executes a program 35 stored in the memory 32 to function as the event information acquisition unit 310, the event information transmission unit 320, the grid information acquisition unit 330, the market information creation unit 340, the bid reception unit 350, and the contract unit 360. The event information acquisition unit 310, the event information transmission unit 320, the grid information acquisition unit 330, the market information creation unit 340, the bid reception unit 350, and the contract unit 360 may be realized by, for example, dedicated hardware (electronic circuits).

[0102] The event information acquisition unit 310 acquires the event information 37 from the business agent of the company 7 B. The event information acquisition unit 310 outputs the acquired event information 37 to the event information transmission unit 320.

[0103] The event information transmitting unit 320 distributes the event information 37 to the power resource. For example, the event information transmitting unit 320 may broadcast the event information 37, or may limit the distribution destination to mobile agents and distribute the event information 37 to agents 2 located within a predetermined range from the location of the event venue, or may distribute the event information 37 to a power resource having an ID of a direct trading market formed at the event venue 100. Furthermore, the event information transmitting unit 320 may distribute the event information 37 to agents 2 of a power resource located within a predetermined range from the location of the event venue and having an ID of a direct trading market formed at the event venue 100. Furthermore, the event information transmitting unit 320 stores the event information 37 in the memory 32.

[0104] The system information acquiring unit 330 acquires system information from the power company 8. The system information acquiring unit 330 outputs the acquired system information to the market information creating unit 340.

[0105] The market information creating unit 340 creates market information 38 including at least grid information and information on electricity quotes for each of the P2P energy trading markets. The market information creating unit 340 transmits the created market information 38 to the power resource.

[0106] The bid receiving unit 350 and the agreement unit 360 function as a trading platform. The bid receiving unit 350 receives bids from the agents 2. The agreement unit 360 performs an agreement for the power trading in accordance with any rules established by an operator who manages the general trading market, or any rules established independently by each operator of the direct trading market.

[0107] In bidding for the direct trading market formed at the event venue 100, the agreement unit 360 also takes into consideration the number of parking spaces 105 when making an agreement for electricity trading. In this embodiment, since the parking spaces 105 are for two vehicles, the agreement unit 360 limits the number of vehicles to be agreed upon in a unit time period to two, excluding the commercial electric vehicles 9A to 9D. This makes it possible to prevent the occurrence of a situation in which an agreement is made but the agreement cannot be executed because there are no vacant parking spaces 105. For example, in a matching rule that follows a method of making a transaction on a first-come, first-served basis, the agreement unit 360 processes bids made after the vacant parking spaces 105 are filled as non-agreements, except for bids made by the agents 2 of the commercial electric vehicles 9A to 9D. The reason for excluding bids made by the agents 2 of the commercial electric vehicles 9A to 9D is that electricity can be exchanged between the commercial electric vehicles 9A to 9D even if there are no vacant parking spaces 105.

[0108] 12 is a block diagram functionally showing the configuration of the agent 2B of the power supply vehicle 10. Note that the agent 2A of the electric vehicle 5 has similar functions, but here, the agent 2B of the power supply vehicle 10 will be representatively described.

[0109] The agent 2B of the power supply vehicle 10 includes an information acquisition unit 241, a participation determination unit 242, a prosperity prediction unit 243, a bid prediction unit 244, a bid unit price prediction unit 245, an electricity trading plan creation unit 246, and a bidding unit 247. For example, the processor 24 of the agent 2B executes a program 25A stored in the memory 25 to function as the information acquisition unit 241, the participation determination unit 242, the prosperity prediction unit 243, the bid prediction unit 244, the bid unit price prediction unit 245, the electricity trading plan creation unit 246, and the bidding unit 247. Note that the information acquisition unit 241, the participation determination unit 242, the prosperity prediction unit 243, the bid prediction unit 244, the bid unit price prediction unit 245, the electricity trading plan creation unit 246, and the bidding unit 247 may be realized by, for example, dedicated hardware (electronic circuits).

[0110] The information acquisition unit 241 acquires the event information 37 and the market information 38 from the market trading server 3. The information acquisition unit 241 outputs the acquired event information 37 to the participation determination unit 242 and the prosperity prediction unit 243. The information acquisition unit 241 also outputs the acquired event information 37 and market information 38 to the bid price prediction unit 245. Furthermore, the information acquisition unit 241 may acquire weather information for a predetermined period from an external server (not shown) that provides weather information. The predetermined period is, for example, one week. The information acquisition unit 241 outputs the acquired weather information to the prosperity prediction unit 243.

[0111] The participation determination unit 242 determines whether or not to participate in the direct transaction market indicated by the event information 37, that is, whether or not to participate in the direct transaction market formed at the event venue 100, based on the event information 37. The participation determination unit 242 determines whether or not to participate in the direct transaction market formed at the event venue 100, for example, using the location information and the event date and time information of the event venue 100 included in the event information 37, and the current location information of the power supply vehicle 10. The participation determination unit 242 may further determine whether or not to participate in the direct transaction market formed at the event venue 100, using schedule information of the power supply vehicle 10, information on past movement history, and the like. For example, when the power supply vehicle 10 is not scheduled to be used in the time before and after the event date and time, and the power supply vehicle 10 can reach the event venue 100 at a time when the execution time of the contract can be secured, the participation determination unit 242 decides to participate in the direct transaction market formed at the event venue 100. The participation determination unit 242 outputs the determination result to the prosperity prediction unit 243 and the bid prediction unit 244.

[0112] When the prosperity prediction unit 243 receives a determination result indicating participation from the participation determination unit 242, the prosperity prediction unit 243 predicts the prosperity of the current event based on the event venue, the event date and time, the type of business (type of E-business) of the store (commercial electric vehicle 9) that will set up a stall at the event, and weather information. The event venue, the event date and time, and the type of store (type of E-business) that will set up a stall at the event are included in the event information 37. The prosperity prediction unit 243 calculates a value indicating the prosperity of the event (hereinafter also referred to as the "first prosperity prediction value") using a first map, for example, with the event venue, the event date (for example, season and day of the week), time, type of E-business, and weather information (for example, weather and temperature) as arguments. The first map is a map that defines the relationship between the event venue, the event date, time, type of E-business, weather, and temperature, and the first prosperity prediction value. The first map can be derived, for example, based on statistical results or simulation results of the above parameters (event location, season, day of the week, time, type of E-commerce, weather, and temperature) and the prosperity of events held at various event venues in the past. The first map is, for example, determined in advance and stored in memory 25. Note that the first map may be a map that at least determines the relationship between the event date and time (date and time) and type of E-commerce, and the first prosperity prediction value.

[0113] The first prosperity prediction value may be, for example, a numerical value divided into 10 stages. The prosperity prediction unit 243 calculates the first prosperity prediction value for each commercial electric vehicle 9 for each unit time slot in the direct transaction market. That is, the prosperity prediction unit 243 calculates the first prosperity prediction value for each commercial electric vehicle 9 (each E-business) and for each unit time slot. For example, if the E-business provides food and drink with desserts such as crepes, the value indicating the prosperity of the E-business in the unit time slot including 14:00-16:00 during the event holding time (for example, 10:00-19:00) is higher than the value indicating the prosperity of the E-business in other unit time slots (for example, 12:00-13:00). The prosperity prediction unit 243 outputs the first prosperity prediction value to the bid prediction unit 244. Note that, when the prosperity prediction unit 243 receives a judgment result indicating non-participation from the participation judgment unit 242, the prosperity prediction unit 243 does not predict the first prosperity prediction value.

[0114] The bid prediction unit 244 predicts whether the bid made by the agent 2C of the commercial electric vehicle 9 is a buy bid or a sell bid in the direct transaction market formed at the event venue 100. Specifically, the bid prediction unit 244 predicts whether the agent 2C of the commercial electric vehicle 9 will make a buy bid or a sell bid for each unit time period. When the bid prediction unit 244 receives a first busy prediction value that is equal to or greater than the first reference value, it predicts that the agent 2C of the commercial electric vehicle 9 will make a buy bid, and when the bid prediction unit 244 receives a first busy prediction value that is less than the first reference value, it predicts that the agent 2C of the commercial electric vehicle 9 will make a sell bid. The first reference value is a value for determining whether the battery power of the commercial electric vehicle 9 is likely to be depleted or has a surplus of battery power. The first reference value can be determined in advance based on, for example, statistics of past contracts at the event venue 100 and other event venues. In the unit time slot in the first half of the event duration, the agent 2C of the commercial electric vehicle 9 is more likely to make a buying bid, and as the unit time slot moves to the second half of the event duration, the agent 2C of the commercial electric vehicle 9 is more likely to make a selling bid. For example, a first reference value may be set for each unit time slot, and the first reference value may be set so that the first reference value is smaller for a unit time slot that belongs to the first half of the event duration, in other words, so that the first reference value is larger for a unit time slot that belongs to the second half of the event duration. The bid prediction unit 244 outputs the prediction result to the bid unit price prediction unit 245. Note that, when the bid prediction unit 244 receives a judgment result indicating non-participation from the participation judgment unit 242, the bid prediction unit 244 does not predict the electricity unit price.

[0115] The bid unit price prediction unit 245 predicts the power unit price at which the agent 2C of the commercial electric vehicle 9 bids in the direct trading market formed in the event venue 100. Specifically, the bid unit price prediction unit 245 first identifies the event date and time from the event information 37, and uses the grid information and the information on the indicative price included in the market information 38 at the date and time to predict the price (unit price) of the power (purchased power and sold power) traded in the direct trading market (the direct trading market formed in the event venue 100) specified from the event information 37. Further, the bid unit price prediction unit 245 corrects the predicted unit price based on the market information 38 using the first prosperity prediction value, and calculates the power unit price (hereinafter also referred to as the "first predicted power unit price") for each commercial electric vehicle 9 and for each unit time zone.

[0116] Specifically, when the bid unit price prediction unit 245 predicts that the agent 2C of the commercial electric vehicle 9 will make a buy bid, it reads out the coefficient K1 (0 < K1 < X1) set according to the first prosperity prediction value from the memory 25, multiplies the predicted unit price based on the market information 38 by the coefficient K1, and calculates the first predicted power unit price. Note that X1 is a natural number. The coefficient K1 is set to be a larger value as the first prosperity prediction value becomes larger. That is, the coefficient K1 corresponding to a larger first prosperity prediction value is larger than the coefficient K1 corresponding to a smaller first prosperity prediction value. The reason for setting the coefficient K1 in this way is that as the first prosperity prediction value is larger, it is more likely that the agent 2C of the commercial electric vehicle 9 will place a bid at a higher price than the predicted unit price based on the market information 38.

[0117] On the other hand, when the bidding unit price prediction unit 245 predicts that the agent 2C of the commercial electric vehicle 9 will conduct a buy bid, it reads out a coefficient K2 (0 < K1 < 1) set according to the first prosperity prediction value from the memory 25, and multiplies the predicted unit price based on the market information 38 by the coefficient K2 to calculate the first predicted power unit price. The coefficient K2 is set to be a larger value as the first prosperity prediction value becomes larger. That is, the coefficient K2 corresponding to a large first prosperity prediction value is larger than the coefficient K2 corresponding to a small first prosperity prediction value. The maximum value of K2 is set to be less than 1 because it is assumed that the owner of the power supply vehicle 10 does not want to agree to a power price higher than the grid power even if it moves to the event venue 100, so as to suppress the agent 2B of the power supply vehicle 10 from making a bid at a price higher than the grid power.

[0118] Note that the method for predicting the first predicted power unit price is not limited to the above, and various known methods can be used. The bidding unit price prediction unit 245 outputs the first predicted power unit price to the power trading plan creation unit 246.

[0119] Based on the schedule information storing the usage plan of the power supply vehicle 10 and the first predicted power unit price, the power trading plan creation unit 246 creates a power trading plan (charge / discharge plan) for conducting power trading in the direct trading market formed at the event venue 100. More specifically, based on the schedule information, the power trading plan creation unit 246 predicts the SOC of the battery of the power supply vehicle 10 when it arrives at the event venue 100, and uses the predicted SOC and the first predicted power unit price to create, for example, a power trading plan that is optimal in terms of cost. The power trading plan creation unit 246 outputs the power trading plan to the bidding unit 247.

[0120] The bidding unit 247 executes a bid based on the power trading plan to the trading market server 3.

[0121] 13 is a block diagram functionally illustrating a configuration of an agent 2C of a commercial electric vehicle 9. The agent 2C of the commercial electric vehicle 9 includes a first information reading unit 271, a prosperity prediction unit 272, a second information reading unit 273, an information acquisition unit 274, a consumption prediction unit 275, a unit price determination unit 276, an electricity trading plan creation unit 277, and a bidding unit 278. For example, the processor 27 of the agent 2C executes a program 28A stored in the memory 28 to function as the first information reading unit 271, the prosperity prediction unit 272, the second information reading unit 273, the information acquisition unit 274, the consumption prediction unit 275, the unit price determination unit 276, the electricity trading plan creation unit 277, and the bidding unit 278. In addition, the first information reading unit 271, the prosperity prediction unit 272, the second information reading unit 273, the information acquisition unit 274, the consumption prediction unit 275, the unit price determination unit 276, the electricity trading plan creation unit 277, and the bidding unit 278 may be realized, for example, by dedicated hardware (electronic circuitry).

[0122] The first information reading unit 271 reads out the e-commerce information 28C and the calendar information 28D from the memory 28. The first information reading unit 271 outputs the read out e-commerce information 28C and calendar information 28D to the prosperity prediction unit 272.

[0123] The prosperity prediction unit 272 predicts the prosperity of the E-business conducted by the commercial electric vehicle 9 at the event using the E-business information 28C and the calendar information 28D. Specifically, the prosperity prediction unit 272 uses the type of E-business conducted by itself, the event venue, the event date (e.g., season and day of the week), the event time, and the weather (e.g., weather and temperature) on the event date specified from the weather information included in the event information 37 as arguments to calculate a value indicating the prosperity of the E-business (hereinafter also referred to as the "second prosperity prediction value") using the second map. For example, if the day of the event is a holiday and sunny, the E-business is predicted to be prosperous, and if the day of the event is rainy, the E-business is predicted to be not very prosperous. The second map is, for example, a map that defines the relationship between the event venue, the event date, the time, the type of E-business, the weather, and the temperature, and the second prosperity prediction value. The second map can be derived based on, for example, statistical results or simulation results of the above parameters (event venue, event date, time, type of E-business, weather, and temperature) and the prosperity of the E-business in an event in which the commercial electric vehicle 9 has participated in the past. The second map is, for example, predetermined and stored in the memory 28. The second prosperity prediction value may be, for example, a numerical value divided into 10 stages. The second prosperity prediction value is calculated for each unit time slot in the direct trading market. For example, in the case of providing food and drink including desserts such as crepes as the E-business, a value indicating the prosperity of the E-business in a unit time slot including 14:00-16:00 during the event time (for example, 10:00-19:00) is higher than values ​​indicating the prosperity of the E-business in other unit time slots. The prosperity prediction unit 272 outputs a value indicating the prosperity of the E-business for each unit time slot to the consumption prediction unit 275. The second map may be a map that defines at least the relationship between the event date and time (date and time) and the type of E-commerce, and the second prosperity predicted value.

[0124] The second information reading unit 273 reads out contract information in a direct trading market in which the commercial electric vehicle 9 has previously participated, and SOC information, from the resource information 28B stored in the memory 28. The second information reading unit 273 extracts, from the read contract information, contract information in a direct trading market that has previously been formed at the event venue 100, as history information. The second information reading unit 273 outputs the history information to the unit price determination unit 276. In addition, the second information reading unit 273 outputs the SOC information to the consumption prediction unit 275.

[0125] The information acquisition unit 274 acquires the market information 38 from the trading market server 3. The information acquisition unit 274 outputs the acquired market information 38 to the unit price determination unit 276.

[0126] The consumption prediction unit 275 predicts the amount of power consumption per unit time period consumed by the commercial electric vehicle 9 during e-commerce, based on the second business boom prediction value and the vehicle type information of the commercial electric vehicle 9. As described above, the vehicle type information includes information on the battery mounted on the commercial electric vehicle 9, information on the rated power of the on-board electrical devices, and information on the rated power of the electrical devices brought into the commercial electric vehicle 9. The consumption prediction unit 275 predicts the amount of power consumption consumed by the on-board electrical devices and the brought-in electrical devices during e-commerce, based on the second business boom prediction value. Hereinafter, the predicted amount of power consumption will also be referred to as "predicted amount of power consumption."

[0127] Furthermore, the consumption prediction unit 275 compares the predicted power consumption amount with the SOC information to predict the SOC at the end of the event. If the predicted SOC at the end of the event is less than the reference SOC, the consumption prediction unit 275 determines to make a buy bid in all unit time slots. If the predicted SOC at the end of the event is equal to or greater than the reference SOC, the consumption prediction unit 275 determines to make a sell bid in a unit time slot close to the end of the event so that the SOC at the end of the event approaches the reference SOC. The reference SOC is determined, for example, based on the amount of power required for the commercial electric vehicle 9 to travel from the event venue 100 to a specified location after the event ends. The specified location is, for example, a garage for the commercial electric vehicle 9. The reference SOC may be set by adding a certain margin to the amount of power required for the commercial electric vehicle 9 to travel from the event venue 100 to the specified location. The consumption prediction unit 275 outputs the result of the decision as to whether to make a buying bid or a selling bid, which has been decided for each unit time slot, to the unit price decision unit 276 and the power trade plan creation unit 277 .

[0128] Furthermore, the consumption prediction unit 275 outputs to the unit price determination unit 276 a value obtained by subtracting the predicted SOC at the end of the event from the reference SOC (hereinafter also referred to as a “difference value”).

[0129] The unit price determination unit 276 determines the electricity unit price to be bid for each unit time slot in the direct trading market formed at the event venue 100. Specifically, the unit price determination unit 276 identifies the event date and time from the calendar information 28D, and predicts the price (unit price) of electricity (purchased electricity and sold electricity) to be traded in the direct trading market formed at the event venue 100, using system information and quote information included in the market information 38 at the specified date and time. Furthermore, the unit price determination unit 276 uses the difference value to correct the predicted unit price based on the market information 38, and calculates the electricity unit price for each unit time slot (hereinafter also referred to as the "second predicted electricity unit price").

[0130] Specifically, when a buy bid is determined, the unit price determination unit 276 reads out from the memory 28 a coefficient K3 (>1) set according to the difference value, and calculates the second predicted electricity unit price by multiplying the predicted unit price based on the market information 38 by the coefficient K3. The coefficient K3 is set so that it becomes larger as the difference value increases. In other words, the coefficient K3 corresponding to a larger difference value is larger than the coefficient K3 corresponding to a smaller difference value. The larger the difference value, the larger the amount of electricity required to continue the E-commerce. Therefore, by setting the coefficient K3 as described above, the electricity unit price is increased as the difference value increases, thereby increasing the possibility of a contract.

[0131] On the other hand, when a sell bid is determined, the unit price determination unit 276 sets the predicted unit price based on the market information 38, for example, as the second predicted electricity unit price. For example, if the electricity unit price is set to a price lower than the predicted unit price based on the market information 38, it may be more profitable for the owner of the commercial electric vehicle 9 to store the electricity in the battery without entering into a contract. Therefore, for example, a bid is made at the predicted unit price based on the market information 38. This may result in a contract being made with another commercial electric vehicle 9 conducting e-commerce at the event venue 100, for example.

[0132] The method for predicting the second predicted electricity unit price is not limited to the above, and various known methods can be used. The unit price determination unit 276 outputs the second predicted electricity unit price to the electricity trading plan creation unit 277.

[0133] The power trading plan creation unit 277 creates an power trading plan (charge / discharge plan) for conducting power trading in the direct trading market formed at the event venue 100, based on the SOC information of the battery of the commercial electric vehicle 9, the determination result of the consumption prediction unit 275, and the second predicted power unit price. The power trading plan creation unit 277 creates an power trading plan so that the SOC information of the battery does not fall below a reference SOC and is optimal in terms of cost. For example, the power trading plan creation unit 277 predicts a transition of the SOC for each unit time slot from the SOC information and the predicted power consumption, and creates an power trading plan so that the predicted SOC does not fall below the reference SOC. The power trading plan creation unit 277 outputs the power trading plan to the bidding unit 278.

[0134] The bidding unit 278 submits a bid to the market server 3 based on the power trading plan.

[0135] 14 is a flowchart showing the procedure of processing related to contracts in the direct trading market formed at the event venue 100, executed by the processor 31 of the market trading server 3. The processing of this flowchart is started, for example, when the market trading server 3 is started, and is repeatedly executed at each predetermined control period. In the following, each step of the flowchart is abbreviated as "S".

[0136] In S1, the processor 31 of the market trading server 3 determines whether or not a bid has been made from any of the agents 2. If there has been no bid (NO in S1), the processor 31 of the market trading server 3 advances the process to RETURN. If there has been a bid (YES in S1), the processor 31 of the market trading server 3 advances the process to S2.

[0137] In S2, the processor 31 of the market trading server 3 determines whether the bid in S1 is a bid from a commercial electric vehicle 9 conducting e-commerce at the event venue 100. The processor 31 of the market trading server 3 can identify the bidder by, for example, an ID. If the bid is not from a commercial electric vehicle 9 conducting e-commerce at the event venue 100 (NO in S2), the processor 31 of the market trading server 3 proceeds to S3. If the bid is from a commercial electric vehicle 9 conducting e-commerce at the event venue 100 (YES in S2), the processor 31 of the market trading server 3 skips the processes of S3 and S4 and proceeds to S5.

[0138] In S3, the processor 31 of the market trading server 3 determines whether the bid is a sell bid. If the bid is a sell bid (YES in S3), the processor 31 of the market trading server 3 advances the process to S4. If the bid is not a sell bid, i.e., if the bid is a buy bid (NO in S4), the processor 31 of the market trading server 3 skips the process of S4 and advances the process to S5.

[0139] In S4, the processor 31 of the market trading server 3 determines whether there is a vacant parking space 105. Note that here, a matching rule is assumed that follows a method of completing a transaction on a first-come, first-served basis. In this embodiment, the parking space 105 has space for two cars. If the parking space 105 has already been filled by a contract during the unit time period in which the bid was made (NO in S4), the processor 31 of the market trading server 3 does not accept the bid and proceeds to return. Note that in this case, the bid is treated as a non-contract. If there is a vacant parking space 105 (YES in S4), the processor 31 of the market trading server 3 proceeds to S5.

[0140] In S5, the processor 31 of the market trading server 3 determines whether or not a bid can be contracted. If a contract is possible (YES in S5), the processor 31 of the market trading server 3 advances the process to S6. If a contract is not possible (NO in S5), the processor 31 of the market trading server 3 advances the process to S7.

[0141] In S6, the processor 31 of the market trading server 3 accepts the bid. When the processor 31 of the market trading server 3 accepts the bid from the agent 2 of a mobile object other than the commercial electric vehicle 9 conducting e-commerce at the event venue 100, the processor 31 of the market trading server 3 deletes one vacant parking space 105.

[0142] In S7, the processor 31 of the market trading server 3 accepts the bid without executing the match. The processor 31 of the market trading server 3 matches the bid later when it becomes possible to execute the match.

[0143] 15 is a flowchart showing the procedure of processing related to bidding in the direct trading market formed at the event venue 100, which is executed by the agent 2B of the power supply vehicle 10 or the agent 2A of the electric vehicle 5. The processing of this flowchart is started, for example, when the agent 2B of the power supply vehicle 10 or the agent 2A of the electric vehicle 5 is started, and is repeatedly executed at every predetermined control period. Note that here, the agent 2B of the power supply vehicle 10 will be explained as a representative example.

[0144] In S10, the agent 2B of the power supply vehicle 10 acquires the event information 37 and the market information 38 from the trading market server 3. In addition, the agent 2B of the power supply vehicle 10 acquires weather information from an external server.

[0145] In S11, the agent 2B of the power supply vehicle 10 judges whether or not to participate in the direct trading market formed at the event venue 100. The agent 2B of the power supply vehicle 10 judges whether or not to participate in the direct trading market formed at the event venue 100 based on, for example, the location information of the event venue 100 and the information on the date and time of the event, which are included in the event information 37, and the information on the current location of the power supply vehicle 10. The agent 2B of the power supply vehicle 10 may further consider schedule information of the power supply vehicle 10, information on the past movement history, and the like, in deciding whether to participate. For example, the agent 2B of the power supply vehicle 10 decides to participate in the direct trading market formed at the event venue 100 when there is no plan to use the power supply vehicle 10 before or after the date and time of the event, and the agent 2B of the power supply vehicle 10 can reach the event venue 100 at a time when the execution time of the contract can be secured. When the agent 2B of the power supply vehicle 10 decides to participate in the direct trading market formed at the event venue 100 (YES in S11), the process proceeds to S12. If the agent 2B of the power supply vehicle 10 decides not to participate in the direct trading market formed at the event venue 100 (NO in S11), the process proceeds to RETURN.

[0146] In S12, agent 2B of power supply vehicle 10 predicts the success of the event held at event venue 100. Agent 2B of power supply vehicle 10 predicts the success of the current event based on, for example, the location of the event, the date and time of the event, the type of E-business of the store (commercial electric vehicle 9) that will set up a stall at the event, and meteorological information. Agent 2B of power supply vehicle 10 reads out a first map from memory 25, and calculates a value indicating the success of the event (first predicted success value) using the location of the event, the date of the event (for example, season and day of the week), time, type of E-business, and meteorological information (for example, weather and temperature) as arguments. Agent 2B of power supply vehicle 10 calculates the first predicted success value for each unit time period.

[0147] In S13, the agent 2B of the power supply vehicle 10 predicts whether the bid made by the agent 2C of the commercial electric vehicle 9 conducting e-commerce at the event venue 100 is a buy bid or a sell bid in the direct trading market formed at the event venue 100. The agent 2B of the power supply vehicle 10 predicts whether the agent 2C of the commercial electric vehicle 9 makes a buy bid or a sell bid for each unit time period. When the first prosperity prediction value is greater than or equal to the first reference value, the agent 2B of the power supply vehicle 10 predicts that the agent 2C of the commercial electric vehicle 9 will make a buy bid. When the first prosperity prediction value is less than the first reference value, the agent 2B of the power supply vehicle 10 predicts that the agent 2C of the commercial electric vehicle 9 will make a sell bid.

[0148] In S14, the agent 2B of the power supply vehicle 10 predicts the electricity unit price at which the commercial electric vehicle 9 will bid in the direct trading market formed at the event venue 100. The agent 2B of the power supply vehicle 10 specifies the event date and time from the event information 37, and uses the grid information and the information on the indicative price included in the market information 38 at that date and time to predict the price (unit price) of the electricity traded in the direct trading market formed at the event venue 100. Then, the agent 2B of the power supply vehicle 10 corrects the predicted unit price based on the market information 38 using the first prosperity prediction value, and calculates the electricity unit price (first predicted electricity unit price) for each commercial electric vehicle 9 and for each unit time period. When the agent 2B of the power supply vehicle 10 predicts that the agent 2C of the commercial electric vehicle 9 will make a buy bid, it reads out the coefficient K1 (0 < K1 < X1) set according to the first prosperity prediction value from the memory 25, and multiplies the predicted unit price based on the market information 38 by the coefficient K1 to calculate the first predicted electricity unit price. When the agent 2B of the power supply vehicle 10 predicts that the agent 2C of the commercial electric vehicle 9 will make a sell bid, it reads out the coefficient K2 (0 < K1 < 1) set according to the first prosperity prediction value from the memory 25, and multiplies the predicted unit price based on the market information 38 by the coefficient K2 to calculate the first predicted electricity unit price.

[0149] In S15, the agent 2B of the power supply vehicle 10 creates an electricity trading plan for conducting electricity trading in the direct trading market formed at the event venue 100, based on the schedule information storing the planned use of the power supply vehicle 10 and the first predicted electricity unit price. The agent 2B of the power supply vehicle 10 predicts the SOC of the battery of the power supply vehicle 10 when it arrives at the event venue 100 based on the schedule information, and creates an electricity trading plan that is optimal, for example, in terms of cost, using the predicted SOC and the first predicted electricity unit price.

[0150] In S16, the agent 2B of the power supply vehicle 10 submits a bid to the trading market server 3 based on the electricity trading plan.

[0151] 16 is a flowchart showing the procedure of a process executed by the agent 2C of the commercial electric vehicle 9 regarding bidding in the direct transaction market formed at the event venue 100. The process of this flowchart is started, for example, when the agent 2C of the commercial electric vehicle 9 is started, and is repeatedly executed at every predetermined control period.

[0152] In S20, the agent 2C of the commercial electric vehicle 9 reads out the e-commerce information 28C and the calendar information 28D from the memory 28.

[0153] In S21, the agent 2C of the commercial electric vehicle 9 predicts the prosperity of the e-business conducted by the commercial electric vehicle 9 at the event, using the e-business information 28C and the calendar information 28D. The agent 2C of the commercial electric vehicle 9 reads the second map from the memory 28, and calculates a value indicating the prosperity of the e-business (second prosperity prediction value) using as arguments the type of e-business conducted by the agent 2C, the location of the event, the date of the event (e.g., season and day of the week), the time of the event, and the weather (e.g., weather and temperature) on the day of the event specified from the weather information included in the event information 37. The agent 2C of the commercial electric vehicle 9 calculates the second prosperity prediction value for each unit time period.

[0154] In S22, the agent 2C of the commercial electric vehicle 9 acquires the market information 38 from the trading market server 3.

[0155] In S23, the agent 2C of the commercial electric vehicle 9 reads out contract information in a direct trading market in which the commercial electric vehicle 9 has previously participated, and SOC information, from the resource information 28B stored in the memory 25. The agent 2C of the commercial electric vehicle 9 extracts, from the read out contract information, contract information in a direct trading market that has previously been formed at the event venue 100, as history information.

[0156] In S24, the agent 2C of the commercial electric vehicle 9 predicts the amount of power consumed by the commercial electric vehicle 9 during E-commerce per unit time period based on the second business boom prediction value and the vehicle type information of the commercial electric vehicle 9.

[0157] In S25, the agent 2C of the commercial electric vehicle 9 compares the predicted power consumption predicted in S24 with the SOC information to predict the SOC at the end of the event. If the predicted SOC at the end of the event is less than the reference SOC, the agent 2C of the commercial electric vehicle 9 determines to make a buy bid so that the SOC at the end of the event will be equal to or greater than the reference SOC. If the predicted SOC at the end of the event is equal to or greater than the reference SOC, the agent 2C of the commercial electric vehicle 9 determines to make a sell bid so that the SOC at the end of the event will approach the reference SOC. The unit time slot in which to make a bid (buy bid or sell bid) may be determined in consideration of costs and the like when creating an electricity trading plan in S27 described below.

[0158] In S26, the agent 2C of the commercial electric vehicle 9 determines the electricity unit price to be bid for each unit time slot in the direct trading market formed at the event venue 100. Specifically, the agent 2C of the commercial electric vehicle 9 identifies the date and time of the event from the calendar information 28D, and predicts the price (unit price) of electricity (purchased electricity and sold electricity) to be traded in the direct trading market formed at the event venue 100 using the grid information and quote information included in the market information 38 at the specified date and time. The agent 2C of the commercial electric vehicle 9 corrects the predicted unit price based on the market information 38 using a value (difference value) obtained by subtracting the predicted SOC at the end of the event from the reference SOC, and calculates the electricity unit price for each unit time slot (second predicted electricity unit price). For the unit time slot for which a purchase bid has been determined, the agent 2C of the commercial electric vehicle 9 reads out from the memory 28 a coefficient K3 (>1) set according to the difference value, and multiplies the predicted unit price based on the market information 38 by the coefficient K3 to calculate the second predicted electricity unit price. For the unit time slot for which a sell bid has been decided, the agent 2C of the commercial electric vehicle 9 sets the predicted unit price based on the market information 38, for example, as the second predicted electricity unit price.

[0159] In S27, the agent 2C of the commercial electric vehicle 9 creates an electricity trading plan (charging and discharging plan) for conducting electricity trading in the direct trading market formed at the event venue 100 based on the SOC information of the battery of the commercial electric vehicle 9, the decision result of whether to make a buying bid or a selling bid, and the second predicted electricity unit price, so as to be optimal, for example in terms of cost.

[0160] In S28, the agent 2C of the commercial electric vehicle 9 submits a bid to the trading market server 3 based on the electricity trading plan.

[0161] As described above, in this embodiment, the agent 2 of the mobile body (for example, the agent 2B of the power supply vehicle 10 and the agent 2A of the electric vehicle 5) predicts the electricity unit price (first predicted electricity unit price) that the agent 2C of the commercial electric vehicle 9 conducting E-commerce at the event venue 100 will bid for each unit time period in the direct transaction market formed at the event venue 100, and makes a bid based on the first predicted electricity unit price. When predicting the first predicted electricity unit price, the agent 2 of the mobile body calculates a value indicating the prosperity of the event (first predicted prosperity value). Then, the agent 2 of the mobile body predicts the first predicted electricity unit price based on the first predicted prosperity value. By predicting the first predicted electricity unit price based on the prediction of the prosperity of the event, a bid that is likely to be accepted by the agent 2C of the commercial electric vehicle 9 conducting E-commerce can be made. When the bid is agreed upon, the mobile body can carry out the desired electricity transaction, and the commercial electric vehicle 9 can procure electricity while continuing the E-commerce. This makes it possible to prevent the battery power of the commercial electric vehicle 9 from running out during e-commerce. In this embodiment, the first predicted electricity unit price is predicted based on a prediction of how successful the event will be, but the first predicted electricity unit price may be predicted based on a prediction of how successful each commercial electric vehicle 9 will be. This may be achieved, for example, by preparing a first map for each type of e-commerce.

[0162] In addition, the agent 2C of the commercial electric vehicle 9 engaged in E-commerce predicts a value (second predicted prosperity value) indicating the prosperity of E-commerce for each unit time period, and makes a bid based on a second predicted electricity price calculated based on the second predicted prosperity value and the battery SOC information. For example, when it is predicted that the battery will run out of power, the second predicted electricity price can be set high to increase the possibility of a contract. By concluding a bid based on the second predicted prosperity value and the battery SOC information, it is possible to prevent the battery power from running out during E-commerce.

[0163] The market trading server 3 also manages parking spaces 105 at the event venue 100. Since the parking spaces 105 are limited, the number of mobile objects that can come to the venue for contracts in a unit time period is also limited. The market trading server 3 limits the number of mobile objects (excluding commercial electric vehicles 9 that conduct e-commerce at the event venue 100) that can be contracted in a unit time period according to the number of vehicles that can be parked in the parking spaces 105. This makes it possible to prevent the occurrence of a situation in which a contract is made but the contract cannot be executed because there is no vacant parking space 105.

[0164] The embodiments disclosed herein should be considered to be illustrative and not restrictive in all respects. The scope of the present disclosure is defined by the claims, not by the description of the embodiments described above, and is intended to include all modifications within the meaning and scope of the claims. [Explanation of symbols]

[0165] 1 Energy trading system, 2, 2A-2C Agent, 3 Trading market server, 5, 5A-5E Electric vehicle, 6, 6A-6H Charging and discharging equipment, 7 Facility, 7A Factory, 7B Company, 7C Commercial facility, 7D House, 7E Store, 8 Power company, 9, 9A-9D Commercial electric vehicle, 10, 10A-10C Power supply vehicle, 21 Processor, 22 Memory, 22A Program, 22B Resource information, 23 Communication device, 24 Processor, 25 Memory, 25A Program, 25B Resource information, 26 Communication device, 27 Processor, 28 Memory, 28A Program, 28B Resource information, 28C E Business information, 28D Calendar information, 29 Communication device, 31 Processor, 32 Memory, 33 Communication device, 35 Program, 36 Agent information, 37 Event information, 38 Market information, 100 event venue, 101-104 spaces, 105 parking space, 241 information acquisition unit, 242 participation judgment unit, 243 business forecast unit, 244 bidding prediction unit, 245 bidding unit price prediction unit, 246 power trading plan creation unit, 247 bidding unit, 271 first information reading unit, 272 business forecast unit, 273 second information reading unit, 274 information acquisition unit, 275 consumption forecast unit, 276 unit price determination unit, 277 power trading plan creation unit, 278 bidding unit, 310 event information acquisition unit, 320 event information transmission unit, 330 system information acquisition unit, 340 market information creation unit, 350 bid reception unit, 360 agreement unit, PL transmission line network.

Claims

1. An information processing device for a first mobile body to execute a bid for conducting an energy transaction through an energy trading market to a server that manages the energy trading market, the energy trading market having a predetermined location as a contract execution location, comprising: a second moving body equipped with a battery is parked at the predetermined location; the second mobile object conducts a predetermined business at the predetermined location using the power of the battery; The information processing device includes: A communication device configured to be able to communicate with the server; a control device that creates an energy trading plan for the first mobile object to conduct energy trading through the energy trading market, The control device includes: obtaining, from the server via the communication device, predetermined information including at least information indicating a type of the predetermined business and information indicating a date and time when the predetermined business is conducted; Using the predetermined information, predict the prosperity of the predetermined business; When the value indicating the degree of prosperity is equal to or greater than a reference value, it is predicted that the second mobile unit will make a bid with the server, and a price of electricity in the bid is predicted based on the price of electricity provided by an electric power company and the degree of prosperity; If the numerical value is smaller than the reference value, it is predicted that the second mobile unit will make a selling bid to the server, and a unit price of electricity in the selling bid is predicted based on the unit price of electricity and the degree of prosperity; creating the electricity trading plan based on the predicted electricity unit price; An information processing device that executes buying bids or selling bids based on the created power trading plan.

2. A storage device is further provided for storing a map having arguments of at least the type of business and the date and time when the business is conducted, The information processing device according to claim 1 , wherein the control device predicts the degree of prosperity by using the predetermined information and the map.

3. The predetermined information further includes location information of the predetermined location, The map further takes as an argument the location where the transaction is conducted; The information processing device according to claim 2 , wherein the control device predicts the degree of prosperity by using the predetermined information and the map.

4. 4. The information processing device according to claim 3, wherein the control device determines whether or not the first mobile body will make a bid for energy trading based on at least one of a distance and a time required for the first mobile body to travel from a current location of the first mobile body to a location of the specified place.

5. An information processing device that executes a bid for a mobile body to execute an energy transaction through an energy trading market to a server that manages the energy trading market, the energy trading market having a predetermined location as a contract execution location, comprising: The moving body is It is equipped with a battery, A predetermined business is conducted at the predetermined location using power from the battery, The information processing device includes: A communication device configured to be able to communicate with the server; a storage device that stores predetermined information including at least information indicating the type of the predetermined business and information indicating the date and time when the predetermined business is conducted; a control device that creates an energy trading plan for the mobile body to trade energy through the energy trading market, the storage device further includes information indicating a power consumption of the mobile body and information indicating a power consumption of an electrical device brought into the mobile body; The control device includes: Using the predetermined information, predict the prosperity of the predetermined business; predicting a transition of the amount of power consumption based on information indicating the power consumption of the mobile object, information indicating the power consumption of the electrical appliance, and the prosperity level; when it is predicted that the amount of stored power in the battery at the end of the specified business will be less than a reference amount of stored power, it is determined to make a purchase bid to the server so that the amount of stored power at the end of the specified business will be equal to or greater than the reference amount of stored power, and a unit price of electricity to be purchased is calculated based on a unit price of electricity provided by an electric power company, the prosperity, and the amount of stored power; when it is predicted that the amount of stored electricity at the time of the end of the specified business will be equal to or greater than the reference amount of stored electricity, determining to make a selling bid to the server so that the amount of stored electricity at the time of the end of the specified business will approach the reference amount of stored electricity, and calculating a unit price of electricity for the selling bid based on the unit price of electricity, the prosperity, and the amount of stored electricity; creating the electricity trading plan based on the calculated electricity unit price; An information processing device that executes buying bids or selling bids based on the created power trading plan.

6. The storage device further stores a map having at least the type of business and the date and time when the business is conducted as arguments; The information processing device according to claim 5 , wherein the control device predicts the degree of prosperity by using the predetermined information and the map.

7. The predetermined information further includes location information of the predetermined location, The map further takes as an argument the location where the transaction is conducted; The information processing device according to claim 6 , wherein the control device predicts the degree of prosperity by using the predetermined information and the map.

8. A server that manages an energy trading market in which a contract is executed at a predetermined location; a first information processing device that executes a bid for a first mobile object to conduct an energy transaction through the energy trading market; a second information processing device that executes a bid for a second mobile object to conduct an energy transaction through the energy trading market; The second moving body is It is equipped with a battery, A predetermined business is conducted at the predetermined location using power from the battery, The first information processing device is predicting the prosperity of said specified business; When the value indicating the degree of prosperity is equal to or greater than a reference value, it is predicted that the second mobile unit will make a bid with the server, and a price of electricity in the bid is predicted based on the price of electricity provided by an electric power company and the degree of prosperity; If the numerical value is smaller than the reference value, it is predicted that the second mobile unit will make a selling bid to the server, and a unit price of electricity in the selling bid is predicted based on the unit price of electricity and the degree of prosperity; creating a first electricity trading plan based on the predicted electricity unit price; Executing a buying bid or a selling bid based on the created first energy trading plan; The second information processing device is predicting the prosperity of said specified business; predicting a transition of the amount of power consumption based on information indicating the power consumption of the second moving body, information indicating the power consumption of an electrical device brought into the second moving body, and the prosperity level; when it is predicted that the amount of stored power in the battery at the end of the specified business will be less than a reference amount of stored power, it is determined to make a purchase bid to the server so that the amount of stored power at the end of the specified business will be equal to or greater than the reference amount of stored power, and a unit price of electricity to be purchased is calculated based on a unit price of electricity provided by an electric power company, the prosperity, and the amount of stored power; when it is predicted that the amount of stored electricity at the time of the end of the specified business will be equal to or greater than the reference amount of stored electricity, determining to make a selling bid to the server so that the amount of stored electricity at the time of the end of the specified business will approach the reference amount of stored electricity, and calculating a unit price of electricity for the selling bid based on the unit price of electricity, the prosperity, and the amount of stored electricity; creating a second electricity trading plan based on the calculated electricity unit price; Executing a buying bid or a selling bid based on the created second energy trading plan; The server contracts the bid received from the first information processing device and the bid received from the second information processing device in accordance with predetermined rules.

9. The predetermined location includes a parking space that can accommodate a predetermined number of vehicles, If the bid is agreed upon, the first moving object parks in the parking space to execute the agreement; The energy trading system according to claim 8 , wherein the server includes, as a condition for concluding the bid of the first information processing device, a condition that there is a vacant parking space.

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