JP2023087809A - Information processing apparatus and electricity trading system - Google Patents

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

The present disclosure relates to an information processing device and a power trading system.

Japanese Patent Application Laid-Open No. 2020-150726 (Patent Document 1) discloses an energy management system that performs power management of facilities that are power consumers, and a power supply and demand management device that performs power bidding on the Japan Electric Power Exchange. A power supply and demand management system is disclosed. The power supply and demand management device determines the amount of power generated within the bid unit time based on the bid amount of power, the power value currently used by the facility, and the power value expected to be used by the facility after the bid unit time. Calculate the amount of imbalance to be obtained. Then, the power supply and demand management device calculates the control amount required to make the imbalance amount zero, and transmits this control amount to the energy management system. Control variables are transmitted from the energy management system to the facility's battery and loads, and the batteries and loads are controlled according to the control variables.

Japanese Patent Application Laid-Open No. 2020-150726

By the way, in recent years, electric vehicles using at least a battery as a power source have become popular. Along with this, the use of electric vehicles is increasing, and for example, use as mobile shops is being considered in addition to use as means of transportation. Electric vehicles are used, for example, as shops on streets or in event spaces.

However, it may not be possible to connect to a power supply on the street, in an event space, or the like. In such a case, if the business as a store becomes more prosperous than expected, there is a possibility that the electric power of the battery will be exhausted during the business. Interrupting business for battery charging can result in large losses. On the other hand, installing a spare battery in preparation for the depletion of battery power can take up space in the electric vehicle and cause trouble for the user.

The present disclosure has been made to solve the above problems, and the purpose thereof is to prevent the battery of an electric vehicle used as a store from running out of power during business.

(1) An information processing apparatus according to an aspect of the present disclosure allows a first mobile body to conduct power trading through the power trading market with respect to a server that manages the power trading market in which a contract is executed at a predetermined place. is an information processing device that executes a bid for A second moving body equipped with a battery is parked at a predetermined place. The second moving body conducts a predetermined business at a 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, and a control device that creates a power trading plan for the first mobile body to trade power through the power trading market. The control device obtains, from the server via the communication device, predetermined information including at least information indicating the type of predetermined business conducted by the second mobile body and information indicating the date and time when the predetermined business is conducted. Predicting the unit price of electricity to be bid by the second mobile unit to the server on the basis of the unit price of electricity provided by the company and the predetermined degree of prosperity of business predicted using predetermined information, and obtaining the predicted unit price of electricity Create a power trading plan based on the plan, and execute a bid based on the created power trading plan.

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 electric power company and the prediction of the prosperity of business conducted by the second mobile body, and reflects the predicted unit price of electricity. bidding based on the proposed power trading plan. By predicting the power unit price based on the prediction of business prosperity, it is possible to make a bid that is highly likely to be bid by the second mobile body. By contracting the bid, it becomes possible for the first mobile body to trade desired power, and for the second mobile body to procure power while continuing the predetermined business. Therefore, it is possible to prevent the power of the battery of the second moving body from running out during business.

(2) In one embodiment, the information processing apparatus 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 predicts the degree of prosperity using predetermined information and a map.

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 business conducted by the second moving body.

(3) In one embodiment, the predetermined information further includes location information of the predetermined location. The map also takes as an argument the location where the trade takes place. The control device predicts the degree of prosperity using predetermined information and a map.

According to the above configuration, it is possible to further improve the prediction accuracy of the business prosperity by further using the information of the predetermined location (location where the business is conducted) to predict the business prosperity of the second moving body.

(4) In one embodiment, the control device determines whether or not to bid based on at least one of the distance and time required for movement from the current position of the first mobile body to the location of a predetermined location. decide.

Depending on the current position of the first moving body, it may not be possible to move to a predetermined location (place of execution of the contract) by the execution time of the contract. 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 for movement from the current position of the first mobile body to the location of the predetermined location. It is possible to suppress the occurrence of a situation in which, although a contract is made, the contract cannot be executed because the contract cannot be moved to a predetermined place by the execution time of the contract.

(5) In some embodiments, prosperity is indicated numerically. The control device prepares an electric power trading plan for conducting a sell bid when the value indicating the degree of prosperity is greater than the reference value.

If the value indicating the degree of prosperity is greater than the reference value, there is a high possibility that the second mobile body will request a power buying bid. According to the above configuration, when the value indicating the degree of activity is greater than the reference value, an electric power trading plan for conducting a sell bid is created, so that the possibility of the bid being agreed can be increased.

(6) In one embodiment, the control device prepares an electric power trading plan for conducting a buying bid when the value indicating the degree of prosperity is smaller than the reference value.

If the value indicating the degree of prosperity is smaller than the reference value, there is a high possibility that the second mobile will request a sell bid for power. According to the above configuration, when the value indicating the degree of activity is smaller than the reference value, an electric power trading plan for conducting a buy bid is created, so that the possibility of the bid being concluded can be increased.

(7) An information processing apparatus according to another aspect of the present disclosure provides a server for managing an electric power trading market in which a contract is executed at a predetermined location, for a mobile body to conduct electric power trading through the electric power trading market. It is an information processing device that executes a bid. A mobile body is equipped with a battery, and uses the power of the battery to carry out a predetermined business at a predetermined location. The information processing device includes a communication device configured to be able to communicate with a server, and a storage device that stores predetermined information including at least information indicating the type of predetermined business and information indicating the date and time of the predetermined business. and a control device for creating a power trading plan for the mobile body to trade power through the power trading market. The control device calculates the unit price of electricity to be bid for the server based on the unit price of electricity provided by the electric power company, the predetermined degree of prosperity of business predicted using predetermined information, and the amount of power stored in the battery. , create a power trading plan based on the calculated power unit price, and execute bidding based on the created power trading plan.

According to the above configuration, the electric power to be bid for the server based on the unit price of electric power provided by the electric power company, the prediction of the business prosperity predicted using the predetermined information, and the amount of power stored in the battery. A unit price is calculated. For example, if the battery is expected to run out of power, a higher power unit price can be set to increase the possibility of a contract. Therefore, it is possible to prevent the battery from running out of electric power during a predetermined business.

(8) In one embodiment, the storage device further stores a map having at least the type of transaction and the date and time of the transaction as arguments. The controller predicts the prosperity of a given business using given information and a map.

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 business conducted by the mobile object.

(9) In one embodiment, the predetermined information further includes location information of the predetermined location. The map also takes as an argument the location where the trade takes place. The control device predicts the degree of prosperity using predetermined information and a map.

According to the above configuration, it is possible to further improve the prediction accuracy of the business prosperity by further using the information of the predetermined place (the position where the business is conducted) for the prediction of the prosperity of the business conducted by the mobile body.

(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 the electrical equipment brought into the mobile object. The control device predicts changes in power consumption based on information indicating the power consumption of the mobile body, information indicating the power consumption of the electrical equipment, and the predicted prosperity, and determines whether the amount of power stored in the battery is less than the reference amount of power stored. Develop a power trading plan for making a buy bid if the

According to the above configuration, it is possible to create an appropriate power trading plan that does not deplete the power of the battery of the mobile body.

(11) A power trading system according to another aspect of the present disclosure includes a server that manages a power trading market in which a contract is executed at a predetermined place, and A first information processing device for executing a bid, and a second information processing device for executing a bid for a second mobile body to trade power through the power trading market. The second mobile body is equipped with a battery, and uses the power of the battery to conduct a predetermined business at a predetermined location. The first information processing device predicts a predetermined business prosperity, and based on the unit price of electricity provided by the electric power company and the predicted predetermined business prosperity, the second information processing device sends the server Predict the unit price of electricity to be bid, create an electricity trading plan based on the predicted unit price of electricity, and execute bidding based on the created electricity trading plan. The second information processing device predicts the degree of prosperity of a predetermined business, and based on the unit price of electricity provided by the electric power company, the predicted degree of prosperity of the predetermined business, and the amount of electricity stored in the battery, A power unit price to be bid for is calculated, an electric power trading plan is created based on the calculated power unit price, and a bid is executed based on the created power trading plan. The server concludes the bid received from the first information processing device and the bid received from the second information processing device according to a predetermined rule.

According to the above configuration, the first information processing device predicts the degree of prosperity of the predetermined business conducted by the second mobile body, and determines the power unit price that the second information processing device of the second mobile body bids to the server. Predict and execute bidding based on this electricity unit price. The second information processing device predicts the degree of prosperity of a predetermined business, calculates a power unit price in consideration of the amount of power stored in the battery, etc., and executes bidding based on this power unit price. In this manner, the first information processing device and the second information processing device execute a bid based on the prediction of the business success of the predetermined business performed by the second mobile body, thereby increasing the possibility that both bids will be executed. be able to. Therefore, it is possible to prevent the power of the battery of the second moving body from running out during business.

(12) In some embodiments, the predetermined location includes parking spaces for a predetermined number of parking spaces. If the bid is contracted, the first mobile parks in the parking space and executes the contract. The server includes a condition that the parking space is available as a condition for contracting the bid for the first information processing device.

According to the above configuration, it is possible to suppress the occurrence of a situation in which, although a bid has been agreed, the agreement cannot be executed because there is no vacant parking space.

According to the above configuration, for example, when the electric vehicle moves within a predetermined distance from the place where the contract is executed in the power trading market while the vehicle is running, the second server transmits a signal proposing a power trading (proposal signal) to the information processing device. be done. By receiving the proposal signal, the information processing device can recognize that power trading is possible in the neighborhood. Accordingly, the information processing device can adopt the above proposal and bid for the first server that manages the power trading market. If the bid is successful, the electric vehicle can receive power through the power exchange market. In this way, the power trading system can increase the charging opportunities for electric vehicles.

According to the present disclosure, it is possible to prevent the battery of an electric vehicle used as a store from running out of power during business.

BRIEF DESCRIPTION OF THE DRAWINGS It is a figure for demonstrating an example of the power trading system which concerns on embodiment. 1 is a diagram schematically showing an example of a P2P power trading market; FIG. FIG. 2 is a diagram illustrating an example of bidding in a general trading market for P2P power trading; FIG. 2 is a diagram illustrating an example of bidding in a direct market for P2P power trading; FIG. 10 is a diagram illustrating another example of bidding in the direct market for P2P power trading; FIG. 4 is a schematic diagram of a second direct trading market formed at an event venue; FIG. 2 is a diagram showing 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; It is a figure which shows an example of resource information. It is a figure which shows an example of agent information. It is a figure which shows an example of event information. 3 is a block diagram functionally showing the configuration of a processor of a marketplace server; FIG. 3 is a block diagram functionally showing the configuration of an agent of a power supply vehicle; FIG. 2 is a block diagram functionally showing the configuration of an agent for a commercial electric vehicle; FIG. FIG. 10 is a flow chart showing the procedure of processing related to a contract in the direct trading market formed at the event venue, which is executed by the processor of the trading market server; FIG. FIG. 10 is a flow chart showing the procedure of a process for bidding on a direct trade market formed at an event site, which is executed by a power supply vehicle agent or an electric vehicle agent; FIG. FIG. 10 is a flow chart showing the procedure of processing related to bidding on a direct trading market formed at an event venue, executed by an agent for commercial electric vehicles; FIG.

Hereinafter, embodiments of the present disclosure will be described in detail with reference to the drawings. The same or corresponding parts in the drawings are denoted by the same reference numerals, and the description thereof will not be repeated.

<Configuration of power trading system>
FIG. 1 is a diagram for explaining an example of a power trading system 1 according to an embodiment. Referring to FIG. 1, electricity trading system 1 includes trading market server 3, electric vehicles 5A to 5E, charging/discharging facilities 6A to 6H, factory 7A, company 7B, commercial facility 7C, and residence 7D. , a store 7E, an electric power company 8, commercial electric vehicles 9A and 9B, power supply vehicles 10A to 10C, and a power transmission line PL. The electric vehicles 5A to 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 to 10C are power resources in the power trading system 1, and are so-called prosumers ( Prosumer). Each power resource is configured to be able to exchange power with other power resources through the power grid PL or directly.

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. Also, the facilities such as the factory 7A are not limited to those shown in the drawings. Note that, hereinafter, each of the electric vehicles 5A to 5E may be referred to as an "electric vehicle 5" without distinction. Also, the charging/discharging equipment 6A to 6H may be referred to as "charging/discharging equipment 6" without distinguishing between them. Also, the factory 7A, the company 7B, the commercial facility 7C, the residence 7D, and the store 7E may be referred to as "facility 7" without distinction. Further, the commercial electric vehicles 9A and 9B may be referred to as "commercial electric vehicles 9" without distinguishing between them. Also, the power supply vehicles 10A to 10C may be referred to as "power supply vehicles 10" without distinguishing between them. Furthermore, hereinafter, the electric vehicle 5, the commercial electric vehicle 9, and the power supply vehicle 10 may be collectively referred to as a "moving object."

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/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 connectable to the charging/discharging facility 6, and can transmit/receive electric power to/from the power transmission line PL, the facility 7, or other moving bodies through the charging/discharging facility 6. Also, the electric vehicle 5 may be configured to be able to exchange power with other moving bodies via a power cable.

The commercial electric vehicle 9 is an electric vehicle that can run using electric power stored in a battery. For example, commercial electric vehicle 9 is an electric vehicle. Note that the commercial electric vehicle 9 may be a plug-in hybrid vehicle. The commercial electric vehicle 9 can drive each on-vehicle device using electric power stored in the battery. Vehicle-mounted equipment can include, for example, lighting, air conditioners, electric stoves, electric ovens, and various other electrical equipment. The commercial electric vehicle 9 can be used, for example, as a mobile store that utilizes in-vehicle equipment. In this embodiment, the commercial electric vehicle 9 is used as a store in an event space or the like, as will be described later. Below, the business using the commercial electric vehicle 9 as a store is also referred to as "E-business".

The power supply vehicle 10 is a power supply vehicle for supplying power to other vehicles. The power supply vehicle 10 belongs to, for example, a facility 7 or an individual. When an electric power transaction is concluded in a direct trading market, which will be described later, the power supply vehicle 10 moves to a predetermined place where the contract is executed, and exchanges electric power with the counterparty of the contract. The power supply vehicle 10 may be a vehicle equipped with a battery for transferring electric power to and from the contracted partner, and may be, for example, an electric vehicle or a plug-in hybrid vehicle. However, it may be a hybrid vehicle or a vehicle using an internal combustion engine as a power source (so-called conveyor vehicle). Even if the power supply vehicle 10 is a hybrid vehicle or a conveyor vehicle, the power supply vehicle 10 has a charging port for connecting a power cable.

The facility 7 is electrically connected to the power grid PL and can transmit and receive electric power to and from the power grid PL. The facility 7 is also electrically connected to the charging/discharging equipment 6, and can exchange electric power with moving bodies (the electric vehicle 5, the commercial electric vehicle 9, and the power supply vehicle 10) connected to the charging/discharging equipment 6. can be done. The facility 7 is equipped with a battery that stores electric power, and is configured so that the battery can be charged and discharged through the power transmission line PL or the charging/discharging facility 6 .

The charging/discharging equipment 6 is electrically connected to the power transmission line PL or facility 7 . The charging/discharging equipment 6 includes a power cable. The charging/discharging equipment 6 can be electrically connected to a moving object (electric vehicle 5, commercial electric vehicle 9, power supply vehicle 10) through a power cable, and the moving object can be connected to a power transmission line network through the charging/discharging equipment 6 to which it is connected. Power can be exchanged with PL or facility 7 .

The electric power company 8 manages a power plant (not shown). Electric power generated by the power plant is supplied to each facility 7 through a transmission line PL (system power network), and can also be supplied to moving bodies connected to the charging/discharging facilities 6A to 6C.

Conventionally, electric power has been supplied from the power plant of the electric power company 8 to the facility 7, the electric vehicle 5, etc. through the transmission line PL. Due to the liberalization of electric power and the spread of renewable energy generation technology in recent years, not only electric power company 8 but also electric power sales transactions between individuals or corporations having electric power resources are being considered. In power trading system 1 according to the present embodiment, power trading between individuals or corporations, that is, P2P (Peer to Peer) power trading can be performed.

The trading market server 3 provides a platform for conducting P2P power trading. The market server 3 is configured to communicate with the electric vehicle 5, the charging/discharging facility 6, the facility 7, the commercial electric vehicle 9, and the power supply vehicle 10 through the communication network. Although the details will be described later, a plurality of power trading markets are formed in the trading market server 3 . If the mobile body (the electric vehicle 5, the commercial electric vehicle 9 and the power supply vehicle 10) or the facility 7 desires P2P power trading, the mobile body (more specifically, an agent that executes the power trading of the mobile body (described later) ) or the facility 7 (more specifically, an agent (described later) that executes the power trading of the facility 7) designates the power trading market in which the power trading is to be performed, and then sends the trading market server 3 to buy or sell power, for example. A bid is made under bidding conditions such as the desired time period, the amount of power to be purchased and sold for each unit time period, and the transaction price. The trading market server 3 uses an arbitrary algorithm to execute a contract for power trading between a seller and a buyer who meet the bid conditions, and treats bids for which a partner who meets the conditions cannot be found as uncontracted. Note that "bidding" means the act of placing an order for power trading (buying or selling) or the order itself. "Commitment" means the act of deciding to enter into a tendered power transaction, or the decision itself.

FIG. 2 is a diagram schematically showing an example of the P2P power trading market. Referring to FIG. 2, in the P2P power trading market, an "agent" executing a bid for the P2P power trading market plans and executes bidding, manages agreements, and creates charge/discharge plans based on agreements. be An agent is provided for each mobile object and facility 7 . In FIG. 2, mobile agents 2A and 2D corresponding to the electric vehicle 5, mobile agent 2B corresponding to the power supply vehicle 10, mobile agent 2C corresponding to the commercial electric vehicle 9, and a plurality of businesses corresponding to the factory 7A, etc. Agents 2E to 2H and a plurality of housing agents 2I and 2J corresponding to housing are representatively exemplified. For example, in the case of a mobile body, a corresponding mobile body agent creates a power trading plan (bidding plan) for the P2P power trading market, and the mobile body agent makes a bid for the P2P power trading market (trading market server 3). is executed.

In the following, the mobile agents 2A-2D, the business agents 2E-2H, and the housing agents 2I and 2J may be referred to as "agent 2" without distinction. The agent 2 is an "information processing device" that creates a power trading plan for the corresponding power resource to conduct power trading through the P2P power trading market.

The P2P power trading market includes 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 power transmitted through the power grid PL, and an unspecified number of agents 2 can participate in power trading. In the general trading market, power trading is contracted (matching) according to arbitrary rules determined by the operator who manages the P2P power trading market. As a matching rule, for example, there is a method of establishing a transaction on a first-come, first-served basis when the offered price of the seller matches the offered price of the buyer within a predetermined unit time period. As another matching rule, a method is also possible in which the bids (orders) of the seller and the buyer conducted in a unit time period are arranged once and then the transaction is concluded at an appropriate price.

FIG. 3 is a diagram illustrating an example of bidding in the general trading market for P2P power trading. Referring to FIG. 3, in the general trading market, an unspecified number of sellers bid on a set (p, q) of a selling price and an electric power amount for each predetermined unit time period (1, 2, . . . n). On the other hand, an unspecified number of buyers bid on the set (P, Q) of purchase price and power amount. Note that the unit time period is a time width (for example, 30 minutes) set in the general trading market. Transactions of power amount are performed for each power amount (power×unit time period length) transmitted in a unit time period.

Referring to FIG. 2 again, the direct transaction market is a market that deals with transactions of electric power that is transmitted by a mobile unit to the location of the facility 7 or a location designated by the facility 7 without going through the transmission line PL. , only agents with direct market IDs can participate in power trading. In the direct trading market, one market is configured for facility 7 in which charging/discharging equipment 6 is installed. In the direct trading market, power trading is contracted (matching) according to arbitrary rules independently determined by the operator of each market. As a matching rule, the above method described in 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 matching rules for each P2P power trading market (general trading market and direct trading market). A server corresponding to the trading market server 3 may be provided for each.

FIG. 4 is a diagram illustrating an example of bidding in a direct market for P2P power trading. In the direct transaction market shown in FIG. 4, for each predetermined unit time period (1, 2, . Multiple buyers with market IDs bid on a purchase price and quantity pair (P, Q). A unit time period is a time period individually set in the direct trading market. Transactions of power amount are performed for each power amount (power×unit time period length) transmitted in a unit time period. In addition, below, the direct trading market shown in FIG. 4 is also called "the 1st direct trading market."

FIG. 5 is a diagram illustrating another example of bidding in the direct market for P2P power trading. In the direct market shown in FIG. 5 , multiple sellers with direct market IDs bid for a sale price and power quantity pair (p, q), while multiple buyers with direct market IDs bid Bid on a purchase price and power amount pair (P, Q). A unit time period is a time period individually set in the direct trading market. Transactions of power amount are performed for each power amount (power×unit time period length) transmitted in a unit time period. In addition, below, the direct transaction market shown in FIG. 5 is also called "the 2nd direct transaction market."

Whether to form a first direct market or a second direct market may be determined by the operator of that direct market. For example, if the direct market operator forms a direct market on the premises of facility 7, in other words, if the place of execution of the contract is the place of facility 7, it forms a first direct market. You may In addition, for example, when the operator of the direct trading market forms the direct trading market at the place designated by facility 7, in other words, when the execution place of the contract is the place designated by facility 7, the second A direct trading market may be formed. The place designated by facility 7 may be, for example, an event site where festivals, concerts, and the like are held.

At the event venue, for example, it is assumed that E-commerce using the commercial electric vehicle 9 as a store will be conducted. E-commerce includes, for example, the sale of food and drink. The type of E-commerce is not limited to the sale of food and drink, but may be in various forms such as the sale of goods, the provision of product manufacturing experiences, the provision of games, and the like. In E-commerce, equipment is driven using electric power from the battery of the commercial electric vehicle 9 . The device is an in-vehicle device. Note that the equipment may include electrical equipment brought into the commercial electric vehicle 9 .

Depending on the prosperity of the E-commerce, there is a possibility that the power of the battery will be exhausted during the E-commerce. It is conceivable to charge the battery while conducting E-commerce, but it is also conceivable that the commercial electric vehicle 9 cannot be connected to the power source at the event site. 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 e-commerce for battery charging can result in large losses. 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 prosperity of the E-commerce. Otherwise, the user of the commercial electric vehicle 9 is troubled. Therefore, in the present embodiment, power depletion in the commercial electric vehicle 9 during E-commerce is suppressed by appropriately utilizing P2P power trading.

FIG. 6 is a diagram schematically showing the second direct trading market formed at the event site 100. As shown in FIG. At the event site 100, four commercial electric vehicles 9A-9D are doing E-commerce in spaces 101-104, respectively. An operator of the direct trading market formed at the event venue 100 is, for example, the company 7B that organized the event. The trading market server 3 executes contracts for power trading according to the rules set by the company 7B (operator of the direct trading market).

Each of the commercial electric vehicles 9A to 9D has applied to the company 7B in advance to participate in the event. In the application for participation, at least information indicating the type of E-commerce and vehicle type information of the commercial electric vehicle 9 are transmitted to the company 7B. The vehicle type information is information used for estimating the amount of electric power consumed during E-commerce of the commercial electric vehicle 9, and the details thereof will be described later (FIG. 7). Company 7B provides event information 37 ( 7) and provides the event information 37 to the trading market server 3. FIG.

The exchange market server 3 distributes the event information 37 to the power resource (in particular agent 2). The market server 3 may broadcast the event information 37, or may distribute the event information 37 to power resources located within a predetermined range from the location of the event site. The predetermined range can be defined, for example, as a range within a predetermined radius from the location of the event site. The predetermined radius is, for example, the distance at which there is a possibility of arriving at the event site 100, and may be determined using past information and/or statistics. Alternatively, the trading market server 3 may distribute the event information 37 to the power resource having the ID of the direct trading market (second direct trading market) formed at the event site 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 electric power resources. Event information 37 is delivered from the market server 3 to the cars 10A-10C. In the present embodiment, electric vehicles 5A and 5B and power supply vehicles 10A to 10C are assumed as electric power resources arriving at event site 100. Commercial electric vehicles 9 other than commercial electric vehicles 9A to 9D that conduct E-commerce in Japan may be included.

Each of the commercial electric vehicles 9A to 9D predicts the power consumption of its own battery by a method described later, and based on the prediction result, submits a bid to the trading market server 3 (a direct trading market formed at the event site 100). do

Each of the electric vehicles 5A and 5B and the power supply vehicles 10A to 10C determines whether or not to participate (whether to bid) in the direct trading market formed at the event site 100 by a technique described later, and the result is Bids are submitted to the trading market server 3 (the direct trading market formed at the event venue 100) based on. When a bid is contracted, the target electric vehicle 5 or power supply vehicle 10 moves to the event site 100 (attends the event site 100) and executes the contract.

Parking spaces at the event venue 100 are limited. The event venue 100 according to the present embodiment is provided with a parking space 105 for participants in P2P power trading. Here, it is assumed that two vehicles can be parked in the parking space 105 . That is, other than the commercial electric vehicles 9A to 9D, a maximum of two vehicles can be contracted in the same unit time period. Therefore, although the details will be described later, the trading market server 3 manages the number of parking spaces, and according to the number of parking spaces available in the parking space 105, the moving objects contracted per unit time (commercial electric vehicles performing E-commerce at the event venue 100). 9).

Parking space 105 may be provided with, for example, a power cable for exchanging power with commercial electric vehicles 9 conducting E-commerce in spaces 101-104. For example, the contracted power supply vehicle 10 is parked in the parking space 105 and electrically connected to the contract partner commercial electric vehicle 9 by a power cable, and the contract is executed in this state.

Alternatively, parking space 105 may be provided with, for example, an automatically charging robo-arm. The automatic charging robot arm, for example, connects a power cable to the inlet of the moving body parked in the parking space 105 and the inlet of the target commercial electric vehicle 9, which is the contract partner of the moving body, to electrically connect the two. do. The automatic charging robot arm has, for example, a function of identifying a mobile object and a commercial electric vehicle 9 parked in the parking space 105 , a function of connecting a power cable connector to an inlet, and a function of communicating with the trading market server 3 . For example, the automatic charging robot arm acquires information on the contracted moving object and the license plate of the commercial electric vehicle 9 from the trading market server 3, reads the license plate of the moving object parked in the parking space 105, and reads the target commercial electric vehicle. A car 9 may be identified. For example, when the automatic charging robot arm moves from the parking space 105 to the space of the target commercial electric vehicle 9, it selects a movement route so as not to interfere with the 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. . Also, the automatic charging robot arm may be attached to the power supply vehicle 10 or the electric vehicle 5 .

<Hardware configuration>
FIG. 7 is a diagram showing an example of the hardware configuration of the agent 2A of the electric vehicle 5, the agent 2B of the power supply vehicle 10, the agent 2C of the commercial electric vehicle 9, and the trading market server 3. As shown in FIG. Referring to FIG. 7 , agent 2A of electric vehicle 5 includes processor 21 , memory 22 and communication device 23 . An agent 2</b>A 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 .

The processor 21 is a computing entity (computer) that executes various processes by executing various programs. The processor 21 includes a CPU (Central Processing Unit), FPGA (Field-Programmable Gate Array), GPU (Graphics Processing Unit), and the like. Processor 21 may be configured with processing circuitry.

Memory 22 stores programs and data for processor 21 to execute various processes. The memory 22 is composed of storage media such as ROM (Read Only Memory) and RAM (Random Access Memory). The memory 22 stores a program 22A and resource information 22B.

The program 22A specifies processing executed by the processor 21 . For example, the program 22A includes a program for making the market server 3 bid for power trading on the P2P power trading market managed by the market server 3 .

The resource information 22B includes information on the power resource (electric vehicle 5) corresponding to the agent 2A, and particularly includes information on bids and contracts for power transactions.

FIG. 8 is a diagram showing an example of the resource information 22B. In FIG. 8, resource information 22B in the agent 2A (mobile agent) of the electric vehicle 5 is shown. Referring to FIG. 8, resource information 22B includes an ID, type information, trip information, SOC (State Of Charge) information, connection information, bid information, contract information, charging/discharging plan, and charging/discharging plan. including discharge performance.

The ID includes identification information for specifying the electric vehicle 5 . The type information includes information on the type of power resource. The information about the type of power resource includes, for example, information for specifying an electric vehicle, a commercial electric vehicle, a power supply vehicle, a business operator, a residence, and the like. Since FIG. 8 shows an example of the agent 2A, the type information includes information for identifying the electric vehicle. For example, the resource information 25B (described later) held by the agent 2B of the power supply vehicle 10 includes, for example, information for specifying the power supply vehicle. Further, the 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 about travel history such as past travel routes and travel times. The SOC information includes information on the amount of electric power (charge amount) currently stored in the battery. The connection information includes information for specifying whether or not it is currently connected to the charging/discharging facility 6 or another mobile object. Bid information includes information about past bidding history and information about current bidding. The contract information includes information on past contract history and information for specifying whether or not a currently executed bid has been contracted. The charging/discharging plan includes information on the contracted charging/discharging plan for the power resource. The charge/discharge record includes information on the charge/discharge result for the charge/discharge plan.

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

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. FIG. 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 .

The processor 24 is a computing entity (computer) that executes various processes by executing various programs. The processor 24 is composed of a CPU, FPGA, GPU, or the like. The processor 24 may be configured by an arithmetic circuit.

Memory 25 stores programs and data for processor 24 to execute various processes. The memory 25 is composed of storage media such as ROM and RAM. The memory 25 stores a program 25A and resource information 25B.

The program 25A specifies the processing that the processor 24 executes. For example, the program 25A includes a program for bidding on the market server 3 regarding power trading on the P2P power trading market managed by the market server 3 .

The resource information 25B includes information on the power resource (power supply vehicle 10) corresponding to the agent 2B, and particularly includes information on bids and contracts for power transactions. Since the resource information 25B is basically the same as the resource information 22B described above, the description thereof will not be repeated.

The communication device 26 transmits and receives various data to and from the trading market server 3 through the communication network.

Agent 2C of commercial electric vehicle 9 includes processor 27 , memory 28 and communication device 29 . An agent 2</b>C 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 .

The processor 27 is a computing entity (computer) that executes various processes by executing various programs. The processor 27 is composed of a CPU, FPGA, GPU, and the like. The processor 27 may be configured by an arithmetic circuit.

Memory 28 stores programs and data for processor 27 to execute various processes. The memory 28 is composed of storage media such as ROM and RAM. Memory 28 stores program 28A, resource information 28B, E-commerce information 28C, and calendar information 28D.

The program 28A specifies the processing that the processor 27 executes. For example, the program 28A includes a program for bidding on the market server 3 for power trading on the P2P power trading market managed by the market server 3 .

The resource information 28B includes information on the power resource (commercial electric vehicle 9) corresponding to the agent 2C, and particularly includes information on bids and contracts for power transactions. Since the resource information 28B is basically the same as the resource information 22B described above, the description thereof will not be repeated.

The E-commerce information 28</b>C includes information indicating the type of E-commerce conducted by the corresponding commercial electric vehicle 9 at the event site 100 .

The calendar information 28D includes information on dates and times when events are held. Furthermore, the calendar information 28D includes weather information for the date and time when the event will be held. Weather information includes, for example, information such as temperature, weather, wind speed, and amount of solar radiation for each unit of time. Weather information can be obtained, for example, from an external server (not shown) that provides weather information.

The communication device 29 transmits and receives various data to and from the trading market server 3 through the communication network.

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

The processor 31 is a computing entity (computer) that executes various processes by executing various programs. The processor 31 is composed of a CPU, FPGA, GPU, and the like. The processor 31 may be configured by an arithmetic circuit.

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

The program 35 specifies processing executed by the processor 31 . For example, the program 35 includes a program for executing bid processing for accepting bids from a plurality of agents 2 and contract processing based on the bids. In contract processing, a power transaction contract is executed between a seller and a buyer who meet the bidding conditions, and bids for which a counterparty who meets the conditions cannot be found are processed as uncontracted.

The agent information 36 includes information on the agents 2 participating in the P2P power trading market managed by the trading market server 3 , and particularly includes information on bids and contracts for power trading for each agent 2 .

FIG. 9 is a diagram showing an example of the agent information 36. As shown in FIG. Referring to FIG. 9, agent information 36 includes an ID, type information, bid information, and agreement information.

The ID includes identification information for identifying the agent 2 participating in the P2P power trading market managed by the trading market server 3 . The type information includes information about the type of power resource, such as information for specifying an electric vehicle, a commercial electric vehicle, a power supply vehicle, and the like. FIG. 9 exemplifies agent information 36 relating to the direct trading market formed at the event site 100 . The type information in the agent information 36 related to the first direct trade market may further include information for specifying businesses, houses, and the like. The bidding information includes information on past bidding history and information on current bidding in each agent 2 . The contract information includes information on past contract history in each agent 2 and information for specifying whether or not the currently executed bid has been contracted.

Referring to FIG. 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 of the event (date and time information), information indicating the type of E-business of the commercial electric vehicles 9A to 9D (type information), and commercial electric vehicles 9A to 9D. car model information is included.

FIG. 10 is a diagram showing an example of the event information 37. As shown in FIG. Referring to FIG. 10, event information 37 includes position information, date and time information, type information, and vehicle type information.

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

The date and time information is information indicating the date and time when the event will be held. For example, the date and time information includes information indicating the event date and information indicating the event time (start time and end time).

The type information is information indicating the type of E-commerce of the commercial electric vehicle 9 to be exhibited at the event. In the present embodiment, four commercial electric vehicles 9A to 9D are set up in the shop, so the type information about the commercial electric vehicles 9A to 9D is included. In the example shown in FIG. 10, the type of E-commerce for the three commercial electric vehicles 9A, 9C to 9D is eating and drinking, and the type of E-commerce for the commercial electric vehicle 9 is sales of goods.

The vehicle type information is information about the vehicle specifications of the commercial electric vehicle 9 that will be exhibited at the event. Specifically, it includes information on the battery mounted on the commercial electric vehicle 9 and information on the specifications of the electric equipment mounted on the vehicle (for example, information on rated power). The battery information includes, for example, full charge capacity and capacity maintenance rate. Furthermore, the vehicle type information includes information on the specifications of the electrical equipment brought into the commercial electric vehicle 9 (for example, including rated power information). In addition, the user of the commercial electric vehicle 9 may report to the event organizer The vehicle type information is used to predict the amount of power consumed during E-commerce of the commercial electric vehicle 9 .

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

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

In the following, the functional configuration for trading electricity in the direct trading market formed at the event site 100 will be described in detail.

FIG. 11 is a block diagram functionally showing the configuration of the processor 31 of the trading market server 3. As shown in FIG. The processor 31 of the trading market server 3 includes an event information acquisition section 310 , an event information transmission section 320 , a system information acquisition section 330 , a market information creation section 340 , a bid reception section 350 and a contract section 360 . For example, the processor 31 executes the program 35 stored in the memory 32 to obtain an event information acquisition unit 310, an event information transmission unit 320, a system information acquisition unit 330, a market information creation unit 340, a bid reception unit 350, and It functions as a contracting section 360 . The event information acquisition unit 310, the event information transmission unit 320, the system information acquisition unit 330, the market information creation unit 340, the bid reception unit 350, and the agreement unit 360 are realized, for example, by dedicated hardware (electronic circuits). may

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

The event information transmitter 320 distributes the event information 37 to power resources. The event information transmitting unit 320 may, for example, broadcast the event information 37, or limit the distribution destination to mobile agents and distribute to the agents 2 located within a predetermined range from the location of the event site. Alternatively, it may be delivered to a power resource having an ID of a direct market formed at the event venue 100 . Further, the event information transmission unit 320 transmits the event information 37 to the agent 2 of the power resource that is located within a predetermined range from the location of the event site and has the ID of the direct trading market formed at the event site 100, for example. may be delivered. Also, the event information transmission unit 320 causes the memory 32 to store the event information 37 .

The system information acquisition unit 330 acquires system information from the electric power company 8 . The strain information acquisition unit 330 outputs the acquired strain information to the market information creation unit 340 .

The market information creation unit 340 creates market information 38 including at least grid information and information on the quoted price of power for each of the P2P power trading markets. The market information creation unit 340 transmits the created market information 38 to power resources.

Bid acceptance unit 350 and agreement unit 360 function as a trading platform. The bid accepting unit 350 accepts bids from agents 2 . The contracting unit 360 contracts electricity trading according to arbitrary rules determined by the operator managing the general trading market or arbitrary rules uniquely defined by each operator of the direct trading market.

In the bidding to the direct trading market formed at the event venue 100, the contracting unit 360 also considers the number of parking spaces 105 when contracting the power transaction. In the present embodiment, parking space 105 is for two vehicles, so contracting unit 360 limits the number of vehicles to be contracted in a unit time period to two, excluding commercial electric vehicles 9A to 9D. As a result, it is possible to suppress the occurrence of a situation in which the contract could not be executed because the parking space 105 was full. For example, under the matching rule that conforms to the method of establishing transactions on a first-come-first-served basis, the contracting unit 360 will accept bids after the parking space 105 is filled, excluding bids from agent 2 for commercial electric vehicles 9A to 9D. , treat as unpromised. The reason why the bids from the agents 2 of the commercial electric vehicles 9A to 9D are excluded is that even if there is no vacant parking space 105, electric power can be transferred between the commercial electric vehicles 9A to 9D.

FIG. 12 is a block diagram functionally showing the configuration of the agent 2B of the power supply vehicle 10. As shown in FIG. Although the agent 2A of the electric vehicle 5 also has the same functions, the agent 2B of the power supply vehicle 10 will be representatively described here.

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, a power trading plan creation unit 246, and a bidding unit. 247. For example, the processor 24 of the agent 2B executes the program 25A stored in the memory 25 to obtain information acquisition unit 241, participation determination unit 242, prosperity prediction unit 243, bid prediction unit 244, bid unit price prediction unit 245, power It functions as a trading plan creating section 246 and a bidding section 247 . 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 power trading plan creation unit 246, and the bidding unit 247 are, for example, dedicated hardware (electronic circuit ).

The information acquisition unit 241 acquires the event information 37 and the market information 38 from the trading market 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, a period such as one week. The information acquisition unit 241 outputs the acquired weather information to the prosperity prediction unit 243 .

The participation determination unit 242 determines whether or not to participate in the direct trade market indicated by the event information 37 , that is, whether or not to participate in the direct trade market formed at the event venue 100 based on the event information 37 . Participation determination unit 242 uses, for example, the location information of event venue 100 and the information on the date and time of the event included in event information 37, and the information on the current location of power supply vehicle 10, to conduct direct transactions formed at event venue 100. Decide whether to participate in the market. The participation determination unit 242 may also determine whether or not to participate in the direct trading market formed at the event site 100, using schedule information of the power supply vehicle 10, past movement history information, and the like. For example, if the power supply vehicle 10 is not scheduled to be used before and after the date and time of the event, and the event site 100 can be reached at a time when the contracted execution time can be secured, the participation determination unit 242 determines whether the event will be held. decides to participate in the direct trading market that is formed on the venue 100; Participation determination unit 242 outputs determination results to prosperity prediction unit 243 and bid prediction unit 244 .

When the prosperity prediction unit 243 receives the determination result indicating participation from the participation determination unit 242, the event venue, the date and time of the event, and the type of business (e-commerce) of the store (commercial electric vehicle 9) that will open at the event. type) and weather information to predict the success of the event. The event information 37 includes the location of the event, the date and time of the event, and the type of store that will open the event (type of E-commerce). The prosperity prediction unit 243 uses the first map as arguments, for example, the event location, event date (eg, season and day of the week), time, type of E-commerce, and weather information (eg, weather and temperature). A value indicating the degree of flourishing of the event (hereinafter also referred to as a “first flourishing prediction value”) is calculated. The first map is, for example, a map that defines the relationship between the event location, event date, time, type of E-commerce, weather and temperature, and the first prosperity prediction value. For example, the first map shows the above parameters (event location, season to which the date and time of the event belongs, day of the week, time, type of E-business, weather and temperature) of events held at various event venues in the past. It can be derived based on a statistical result with the degree of prosperity, a simulation result, or the like. The first map is, for example, predetermined and stored in memory 25 . It should be noted that the first map may be a map that defines at least the relationship between the event date and time (date and time) of the event, the type of E-commerce, and the first prosperity prediction value.

The first prosperity prediction value may be, for example, numerical values divided into 10 stages. The prosperity prediction unit 243 calculates a first prosperity prediction value for each unit time period in the direct trading market for each commercial electric vehicle 9 . That is, the prosperity prediction unit 243 calculates the first prosperity prediction value for each electric commercial vehicle 9 (for each E business) and for each unit time period. For example, as an E-commerce, when providing food and drinks that handle desserts such as crepes, the unit time zone including 14:00 to 16:00 during the event holding time (for example, 10:00 to 19:00) The value indicating the prosperity of E-commerce is higher than the value indicating the prosperity of E-commerce during other unit time periods (eg, 12:00 to 13:00). The prosperity prediction unit 243 outputs the first prosperity prediction value to the bid prediction unit 244 . It should be noted that the prosperity prediction unit 243 does not predict the first prosperity prediction value when receiving a determination result indicating non-participation from the participation determination unit 242 .

The bid prediction unit 244 predicts whether the bid made by the agent 2C for the commercial electric vehicle 9 in the direct trading market formed at the event site 100 is a buy bid or a sell bid. Specifically, the bid prediction unit 244 predicts whether the agent 2C of the electric commercial vehicle 9 will make a buy bid or a sell bid for each unit time period. The bid prediction unit 244 predicts that the agent 2C of the commercial electric vehicle 9 will place a buy bid when receiving the first predicted value of prosperity equal to or greater than the first reference value, and predicts that the agent 2C of the electric commercial vehicle 9 will make a buy bid. When the predicted value of prosperity is received, it is predicted that the agent 2C of the commercial electric vehicle 9 will make a selling bid. The first reference value is a value for determining whether there is a high possibility that the electric power of the battery of the commercial electric vehicle 9 will be exhausted or that the electric power of the battery will be excessive. The first reference value can be determined in advance, for example, based on statistics of past agreements at event venue 100 and other event venues. During the unit time period in the first half of the event holding time, there is a high possibility that the agent 2C of the commercial electric vehicle 9 will place a buy bid. agent 2C is more likely to place a sell bid. For example, the first reference value is set for each unit time zone, and the first reference value for the unit time zone belonging to the first half of the event holding time is smaller, in other words, the first reference value for the unit time zone belonging to the second half is smaller. The first reference value may be set so as to increase as the first reference value increases. The bid prediction unit 244 outputs the prediction result to the bid unit price prediction unit 245 . It should be noted that the bid prediction unit 244 does not predict the power unit price when receiving a decision result indicating non-participation from the participation decision unit 242 .

The bid unit price prediction unit 245 predicts the electricity unit price to be bid by the agent 2C of the commercial electric vehicle 9 in the direct transaction market formed at the event site 100 . Specifically, the bid prediction unit 245 first identifies the event date and time from the event information 37, and uses the system information and the quote information included in the market information 38 at that date and time to identify the event information 37. The price (unit price) of the power (purchased power and sold power) traded in the direct trade market (direct trade market formed at the event site 100) is predicted. Furthermore, the bid unit price prediction unit 245 corrects the predicted unit price based on the market information 38 using the first prosperity predicted value, and the electric power unit price for each commercial electric vehicle 9 and for each unit time period (hereinafter referred to as “first (also referred to as "predicted power unit price").

Specifically, when the bid unit price prediction unit 245 predicts that the agent 2C of the commercial electric vehicle 9 will place a buy bid, the bid unit price prediction unit 245 sets a coefficient K1 (0<K1<X1 ) from the memory 25, and the predicted unit price based on the market information 38 is multiplied by the coefficient K1 to calculate the first predicted unit price of electricity. Note that X1 is a natural number. The coefficient K1 is set to a larger value as the first prosperity prediction value increases. That is, the coefficient K1 corresponding to the large first flourishing predicted value is larger than the coefficient K1 corresponding to the small first flourishing predicted value. The reason why the coefficient K1 is set in this way is that the greater the first predicted value of prosperity, the higher the possibility that the agent 2C of the commercial electric vehicle 9 will bid at a higher price than the predicted unit price based on the market information 38. is.

On the other hand, when it is predicted that the agent 2C of the commercial electric vehicle 9 will make a sell bid, the bid unit price prediction unit 245 stores a coefficient K2 (0<K1<1) set according to the first prosperity prediction value. 25, and multiply the predicted unit price based on the market information 38 by the coefficient K2 to calculate the first predicted unit price of electricity. The coefficient K2 is set to a larger value as the first prosperity prediction value increases. That is, the coefficient K2 corresponding to the large first flourishing predicted value is larger than the coefficient K2 corresponding to the small first flourishing predicted value. The reason why the maximum value of K2 is set to be smaller than 1 is that the owner of the power supply vehicle 10 does not want to move to the event venue 100 and agree on power higher than the grid power. This is to prevent the agent 2B of the power supply vehicle 10 from bidding a higher price than the grid power.

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

Electricity trading plan creation unit 246 prepares electric power for conducting electric power trading in the direct trading market formed at event venue 100 based on the schedule information storing the schedule of use of power supply vehicle 10 and the first predicted unit price of electric power. Create a trading plan (charging and discharging plan). More specifically, 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 based on the schedule information, and calculates the predicted SOC and the first predicted power unit price. and are used to create, for example, an optimal power trading plan in terms of cost. The power trading plan creating unit 246 outputs the power trading plan to the bidding unit 247 .

The bidding unit 247 executes bidding for the market server 3 based on the power trading plan.

FIG. 13 is a block diagram functionally showing the configuration of the agent 2C of the commercial electric vehicle 9. As shown in FIG. 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 electric power It includes a deal planning section 277 and a bidding section 278 . For example, by executing the program 28A stored in the memory 28, the processor 27 of the agent 2C executes 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 , unit price determination unit 276 , power trading plan creation unit 277 , and 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 power trading plan creation unit 277, and the bidding unit 278, for example, It may be realized by dedicated hardware (electronic circuit).

First information reading unit 271 reads E-commerce information 28C and calendar information 28D from memory 28 . The first information reading section 271 outputs the read E-commerce information 28C and calendar information 28D to the prosperity prediction section 272 .

Using the E-commerce information 28C and the calendar information 28D, the prosperity prediction unit 272 predicts the degree of prosperity of the E-commerce conducted by the commercial electric vehicle 9 at the event. Specifically, the prosperity prediction unit 272 predicts the type of E-commerce it conducts, the location of the event, the date of the event (for example, the season and the day of the week), the time of the event, and the weather information included in the event information 37. Using the weather (for example, weather and temperature) on the date of the event specified from as an argument, the second map is used to calculate a value indicating the degree of prosperity of E-commerce (hereinafter also referred to as a “second prosperity predicted value”). For example, if the day of the event is a holiday and the weather is fine, it is predicted that the E-commerce will prosper, and if it is rainy on the day of the event, it is predicted that the E-commerce will not be so prosperous. The second map is, for example, a map that defines the relationship between the event location, event date, time, type of E-commerce, weather and temperature, and the second prosperity prediction value. The second map shows, for example, the above parameters (event location, event date, time, type of E-commerce, weather and temperature) and the degree of prosperity of E-commerce, in events in which the commercial electric vehicle 9 has participated in the past. can be derived based on statistical results or simulation results. The second map is, for example, predetermined and stored in memory 28 . The second prosperity prediction value may be, for example, numerical values divided into 10 stages. The second prosperity prediction value is calculated for each unit time period in the direct trade market. For example, as an E-commerce, when providing food and drinks that handle desserts such as crepes, the unit time zone including 14:00 to 16:00 during the event holding time (for example, 10:00 to 19:00) The value indicating the degree of prosperity of E-commerce is higher than the value indicating the degree of prosperity of E-commerce in other unit time periods. The prosperity prediction unit 272 outputs to the consumption prediction unit 275 a value indicating the degree of prosperity of E-commerce for each unit time period. The second map may be a map that defines at least the relationship between the date and time (date and time) of the event, the type of E-commerce, and the second prosperity prediction value.

The second information reading unit 273 reads, from the resource information 28B stored in the memory 28, contract information and SOC information in the direct trading market in which the commercial electric vehicle 9 has participated in the past. The second information reading unit 273 extracts, from the read contract information, contract information in the direct trading market formed in the event site 100 in the past as history information. Second information reading portion 273 outputs the history information to unit price determination portion 276 . Second information reading portion 273 also outputs the SOC information to consumption prediction portion 275 .

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

The consumption prediction unit 275 predicts the amount of electric power consumed by the commercial electric vehicle 9 during E-commerce for each unit time period based on the second prosperity 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-vehicle electrical equipment, and information on the rated power of the electrical equipment brought into the commercial electric vehicle 9 . The consumption prediction unit 275 predicts the amount of electric power consumed by the use of the on-vehicle electrical equipment and the brought-in electrical equipment during the E-commerce of the commercial electric vehicle 9 based on the second prosperity prediction value. Below, the predicted power consumption is also referred to as “predicted power consumption”.

Further, the consumption prediction unit 275 compares the predicted power consumption 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 decides to place a buy bid in all unit time periods. When the predicted SOC at the end of the event is equal to or higher than the reference SOC, the consumption prediction unit 275 performs a sell bid in a unit time period close to the end time of the event so that the SOC at the end of the event approaches the reference SOC. to decide. The reference SOC is determined, for example, based on the amount of electric power required for the commercial electric vehicle 9 to travel from the event venue 100 to a specified location after the event ends. The prescribed location is, for example, a garage for commercial electric vehicles 9 . The standard SOC may be set by adding a certain margin to the amount of electric power required for the commercial electric vehicle 9 to travel from the event venue 100 to a specified location. Consumption prediction portion 275 outputs the result of determination as to whether to place a buy bid or a sell bid determined for each unit time period to unit price determination portion 276 and power trading plan creation portion 277 .

Consumption prediction unit 275 also outputs to 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 “difference value”).

The unit price determining unit 276 determines the unit price of electricity to be bid on in the direct trading market formed at the event site 100 for each unit time period. Specifically, the unit price determining unit 276 identifies the event date and time from the calendar information 28D, and uses the system information and the quote information included in the market information 38 at that date and time to directly trade at the event venue 100. Predict the price (unit price) of power (purchased power and sold power) traded in the market. Furthermore, the unit price determining unit 276 uses the difference value to correct the predicted unit price based on the market information 38, and calculates the unit price of electricity for each unit time period (hereinafter also referred to as “second predicted unit price of electricity”).

Specifically, when a buy bid is determined, the unit price determination unit 276 reads out the coefficient K3 (>1) set according to the difference value from the memory 28, and adds the coefficient to the predicted unit price based on the market information 38. Multiply by K3 to calculate the second predicted power unit price. The coefficient K3 is set to a larger value as the difference value increases. That is, the coefficient K3 corresponding to a large difference value is larger than the coefficient K3 corresponding to a small difference value. The larger the difference value, the larger the amount of electric power required to continue the E-commerce. Therefore, by setting the coefficient K3 as described above, the higher the difference value, the higher the power unit price, thereby increasing the possibility of contract.

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 as the second predicted unit price of electricity, for example. For example, if the electricity unit price is set 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 electricity in the battery without contract. Therefore, for example, a bid is made with a predicted unit price based on the market information 38 . As a result, for example, there is a possibility that a contract can be made with another commercial electric vehicle 9 that conducts E-commerce at the event site 100 .

Note that the method of predicting the second predicted unit price of electricity is not limited to the above, and various known methods can be used. Unit price determining portion 276 outputs the second predicted electricity unit price to electricity trading plan creating portion 277 .

Power trading plan creating unit 277 conducts power trading in the direct trading market formed at event site 100 based on the SOC information of the battery of commercial electric vehicle 9, the determination result of consumption predicting unit 275, and the second predicted power unit price. Create a power trading plan (charging and discharging plan) for The power trading plan creation unit 277 creates a power trading plan so that the SOC information of the battery does not fall below the reference SOC and is optimal in terms of cost. Power trading plan creating unit 277, for example, predicts changes in SOC for each unit time period from SOC information and predicted power consumption, and creates a power trading plan so that the predicted SOC does not fall below the reference SOC. Power trading plan creating unit 277 outputs the power trading plan to bidding unit 278 .

The bidding unit 278 executes bidding to the market server 3 based on the power trading plan.

FIG. 14 is a flow chart showing the procedure of processing related to a contract in the direct market formed at the event venue 100, which is executed by the processor 31 of the market server 3. As shown in FIG. The processing of this flowchart is started, for example, when the market server 3 is activated, and is repeatedly executed in each predetermined control cycle. In addition, below, each step of a flowchart is abbreviated as "S."

At S1, the processor 31 of the trading market server 3 determines whether or not there is a bid from any agent 2. If there is no bid (NO in S1), processor 31 of marketplace server 3 advances the process to RETURN. If there is a bid (YES in S1), processor 31 of marketplace server 3 advances the process to S2.

At S<b>2 , the processor 31 of the marketplace server 3 determines whether or not the bid at S<b>1 is from a commercial electric vehicle 9 that conducts E-commerce at the event site 100 . The processor 31 of the marketplace server 3 can, for example, identify bidders by ID. Processor 31 of marketplace server 3 advances the process to S3 if the bid is not from commercial electric vehicle 9 conducting E-commerce at event site 100 (NO in S2). Processor 31 of marketplace server 3 skips the processes of S3 and S4 if the bid is from commercial electric vehicle 9 that conducts E-commerce at event site 100 (YES in S2), and advances the process to S5. proceed.

At S3, processor 31 of marketplace server 3 determines whether the bid is a sell bid. If the bid is a sell bid (YES in S3), processor 31 of marketplace server 3 advances the process to S4. If the bid is not a sell bid, that is, if the bid is a buy bid (NO in S4), the processor 31 of the market server 3 skips the process of S4 and advances the process to S5.

At S4, processor 31 of marketplace server 3 determines whether parking space 105 is available. Here, a matching rule is assumed according to a method of establishing transactions on a first-come, first-served basis. In this embodiment, parking space 105 is for two vehicles. If the parking space 105 is already occupied in the unit time period of the bid (NO in S4), the processor 31 of the market server 3 does not accept the bid and advances the process to RETURN. In this case, the bid will be treated as uncontracted. If there is a vacant parking space 105 (YES in S4), processor 31 of marketplace server 3 advances the process to S5.

At S5, the processor 31 of the trading market server 3 determines whether or not the bid can be contracted. Processor 31 of marketplace server 3 advances the process to S6 if contract is possible (YES in S5). Processor 31 of marketplace server 3 advances the process to S7 when contract is not possible (NO in S5).

At S6, the processor 31 of the trading market server 3 executes the bid. Note that the processor 31 of the trading market server 3 deletes one vacant parking space 105 when the agent 2 of the mobile body other than the commercial electric vehicle 9 conducting E-commerce at the event site 100 agrees to bid. .

At S7, the processor 31 of the trading market server 3 accepts bids without making contracts. The processor 31 of the trading market server 3 will fill this bid later when it becomes available.

FIG. 15 is a flow chart showing the procedure of the process for bidding on the direct trading market formed at the event site 100, which is executed by the agent 2B of the power supply vehicle 10 or the agent 2A of the electric vehicle 5. As shown in FIG. The processing of this flow chart is started, for example, when the agent 2B of the power supply vehicle 10 or the agent 2A of the electric vehicle 5 is activated, and is repeatedly executed at each predetermined control cycle. Here, the agent 2B of the power supply vehicle 10 will be described as a representative.

At 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. Also, the agent 2B of the power supply vehicle 10 acquires weather information from an external server.

At S11, the agent 2B of the power supply vehicle 10 determines whether or not to participate in the direct trading market formed at the event venue 100. FIG. The agent 2B of the power supply vehicle 10 moves to the event site 100 based on, for example, the location information of the event site 100 included in the event information 37, information on the date and time of the event, and information on the current location of the power supply vehicle 10. Decide whether or not to participate in the direct trading market that is formed. The agent 2B of the power supply vehicle 10 may further consider the schedule information of the power supply vehicle 10, the past movement history information, etc. in determining whether to participate. For example, when the agent 2B of the power supply vehicle 10 does not plan to use the power supply vehicle 10 before and after the date and time of the event, and can arrive at the event site 100 at a time when the contracted execution time can be secured. , decides to participate in the direct trading market formed at the event venue 100 . When agent 2B of power supply vehicle 10 decides to participate in the direct trading market formed at event site 100 (YES in S11), the process proceeds to S12. When agent 2B of power supply vehicle 10 decides not to participate in the direct trading market formed at event venue 100 (NO in S11), the process proceeds to RETURN.

At S<b>12 , the agent 2</b>B of the power supply vehicle 10 predicts the degree of success of the event to be held at the event site 100 . The agent 2B of the power supply vehicle 10, for example, based on 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 open at the event, and the weather information. Predict prosperity. The agent 2B of the power supply vehicle 10 reads the first map from the memory 25, the location of the event, the date of the event (eg, season and day of the week), the time, the type of E-business, and weather information (eg, weather and temperature). is used as an argument to calculate a value (first prosperity prediction value) indicating the degree of prosperity of the event. The agent 2B of the power supply vehicle 10 calculates the first predicted prosperity value for each unit time period.

At S13, the agent 2B of the power supply vehicle 10 determines whether the bid made by the agent 2C of the commercial electric vehicle 9 conducting E-commerce at the event site 100 in the direct trading market formed at the event site 100 is a buy bid, or Predict whether it is a sell bid. The agent 2B of the power supply vehicle 10 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. 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 predicted value of prosperity is greater than or equal to the first reference value, and the first predicted value of prosperity is the first reference value. If it is less than the reference value, it is predicted that the agent 2C of the commercial electric vehicle 9 will place a sell bid.

At S<b>14 , the agent 2</b>B of the power supply vehicle 10 predicts the power unit price to be bid by the commercial electric vehicle 9 in the direct trading market formed at the event site 100 . The agent 2B of the power supply vehicle 10 specifies the event date and time from the event information 37, and uses the system information and the quote information included in the market information 38 at the specified date and time in the direct trading market formed at the event venue 100. Predict the price (unit price) of electricity to be traded. 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 predicted value, and the electric power unit price (first Calculate the predicted electricity unit price). When the agent 2B of the electric power supply vehicle 10 predicts that the agent 2C of the commercial electric vehicle 9 will place a buy bid, the agent 2B has a coefficient K1 (0<K1<X1) set according to the first prosperity prediction value. is read from the memory 25, and the predicted unit price based on the market information 38 is multiplied by the coefficient K1 to calculate the first predicted unit price of electricity. When the agent 2B of the electric power supply vehicle 10 predicts that the agent 2C of the commercial electric vehicle 9 will place a sell bid, the agent 2B sets the coefficient K2 (0<K1<1) according to the first prosperity prediction value. is read from the memory 25, and the predicted unit price based on the market information 38 is multiplied by the coefficient K2 to calculate the first predicted unit price of electricity.

At S15, the agent 2B of the power supply vehicle 10 conducts power trading in the direct trading market formed at the event site 100 based on the schedule information storing the schedule of use of the power supply vehicle 10 and the first predicted power unit price. Create a power trading plan to carry out. 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 uses the predicted SOC and the first predicted power unit price to For example, a cost-optimal power trading plan is created.

At S16, the agent 2B of the power supply vehicle 10 executes a bid for the market server 3 based on the power trading plan.

FIG. 16 is a flow chart showing the procedure of the process for bidding on the direct trading market formed at the event site 100, which is executed by the agent 2C of the commercial electric vehicle 9. As shown in FIG. The processing of this flowchart is started, for example, when the agent 2C of the commercial electric vehicle 9 is activated, and is repeatedly executed in each predetermined control cycle.

At S20, the agent 2C of the commercial electric vehicle 9 reads the E-commerce information 28C and the calendar information 28D from the memory 28. FIG.

In S21, the agent 2C of the commercial electric vehicle 9 predicts the degree of success of the E-commerce conducted by the commercial electric vehicle 9 at the event using the E-commerce information 28C and the calendar information 28D. The agent 2C of the commercial electric vehicle 9 reads out the second map from the memory 28, and stores the type of E-commerce that it conducts, the place where the event is held, the date of the event (for example, the season and the day of the week), the time of the event, and the event. Using the weather (for example, weather and temperature) of the date of the event specified from the weather information included in the information 37 as an argument, a value (second prosperity predicted value) indicating the prosperity of the E-commerce is calculated. The agent 2C of the commercial electric vehicle 9 calculates a second prosperity prediction value for each unit time period.

At S<b>22 , the agent 2</b>C of the commercial electric vehicle 9 acquires the market information 38 from the trading market server 3 .

In S23, the agent 2C of the electric commercial vehicle 9 reads contract information and SOC information in the direct trading market in which the electric commercial vehicle 9 has participated in the past from the resource information 28B stored in the memory 25. The agent 2C of the commercial electric vehicle 9 extracts contract information in the direct trading market formed in the event site 100 in the past from the read contract information as history information.

In S24, the agent 2C of the commercial electric vehicle 9 calculates the electric power consumption for each unit time period during the E-business of the commercial electric vehicle 9 based on the second forecasted value of the commercial electric vehicle 9 and the vehicle type information of the commercial electric vehicle 9. Predict.

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. When the predicted SOC at the end of the event is less than the reference SOC, the agent 2C of the commercial electric vehicle 9 decides to make a buy bid so that the SOC at the end of the event is equal to or higher than the reference SOC. Further, when the predicted SOC at the end of the event is equal to or higher than the standard SOC, the agent 2C of the commercial electric vehicle 9 decides to make a sell bid so that the SOC at the end of the event approaches the standard SOC. . In which unit time period the bid (buy bid or sell bid) is to be made may be determined in consideration of costs and the like in the creation of the power trading plan in S27 described later.

At S<b>26 , the agent 2</b>C of the commercial electric vehicle 9 determines the unit price of electricity to be bid on in the direct trading market formed at the event site 100 for each unit time period. Specifically, the agent 2C of the commercial electric vehicle 9 identifies the event date and time from the calendar information 28D, and uses the system information and the quote information included in the market information 38 at that date and time to create Predict the price (unit price) of electricity (purchased electricity and sold electricity) traded in the direct trading market. The agent 2C of the commercial electric vehicle 9 corrects the predicted unit price based on the market information 38 using the 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 period. (Second predicted power unit price) is calculated. The agent 2C of the commercial electric vehicle 9 reads the coefficient K3 (>1) set according to the difference value from the memory 28 for the unit time period in which the buy bid is determined, and makes a prediction based on the market information 38. A second predicted power unit price is calculated by multiplying the unit price by a coefficient K3. The agent 2C of the commercial electric vehicle 9 sets, for example, the predicted unit price based on the market information 38 as the second predicted unit price of electricity for the unit time period in which the sell bid is determined.

In S27, the agent 2C of the commercial electric vehicle 9 selects, for example, the most cost-effective electric power unit price based on the SOC information of the battery of the commercial electric vehicle 9, the determination result of whether to make a buy bid or a sell bid, and the second predicted power unit price. An electric power trading plan (charging/discharging plan) for conducting electric power trading in the direct trading market formed at the event site 100 is created so that:

In S28, the agent 2C of the commercial electric vehicle 9 makes a bid to the market server 3 based on the power trading plan.

As described above, in the present embodiment, mobile agents 2 (for example, agent 2B of power supply vehicle 10 and agent 2A of electric vehicle 5) are unit For each time period, the electric power unit price (first predicted electric power unit price) to be bid by the agent 2C of the commercial electric vehicle 9 conducting E-commerce at the event site 100 is predicted, and bidding is conducted based on the first predicted electric power unit price. When predicting the first predicted power unit price, the mobile agent 2 calculates a value (first prosperity predicted value) indicating the degree of flourishing of the event. Then, the mobile agent 2 predicts the first predicted power unit price based on the first prosperity predicted value. By predicting the first predicted power unit price based on the prediction of the degree of success of the event, it is possible to make a bid that is highly likely to be bid by the agent 2C of the commercial electric vehicle 9 that conducts E-commerce. By contracting the bid, it becomes possible for the mobile body to trade desired power, and for the commercial electric vehicle 9 to procure power while continuing the E-commerce. Therefore, it is possible to prevent the electric power of the battery of the commercial electric vehicle 9 from running out during the E-commerce. In the present embodiment, the first predicted power unit price is predicted based on the prediction of the degree of success of the event. You may This may be accomplished, for example, by providing a first map for each type of E-commerce.

Further, the agent 2C of the commercial electric vehicle 9 that conducts E-commerce predicts a value (second prosperity prediction value) indicating the prosperity of the E-commerce for each unit time period, and combines the second prosperity prediction value with the SOC information of the battery. A bid is made based on the second predicted power unit price calculated based on the above. For example, when it is predicted that the battery will run out of power, the second predicted power unit price can be set higher to increase the possibility of contract. By contracting a bid based on the second prosperity prediction value and the SOC information of the battery, it is possible to prevent the battery from running out of electric power during the E-commerce.

The market server 3 also manages parking spaces 105 at the event site 100 . Since the parking space 105 is limited, the number of mobile units that can arrive for a contract in a unit time period is limited. The trading market server 3 limits the number of moving bodies contracted per unit time (excluding commercial electric vehicles 9 that conduct E-commerce at the event site 100) according to the number of parking spaces available in the parking space 105. FIG. As a result, it is possible to suppress the occurrence of a situation in which the contract could not be executed because the parking space 105 was full.

The embodiments disclosed this time should be considered as examples and not restrictive in all respects. The scope of the present disclosure is indicated by the scope of claims rather than the description of the above-described embodiments, and is intended to include all modifications within the scope and meaning equivalent to the scope of the claims.

1 power 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 housing, 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 to 104 spaces, 105 parking space, 241 information acquisition unit, 242 participation determination unit, 243 prosperity prediction unit, 244 bid prediction unit, 245 bid unit price prediction unit, 246 Power trading plan creating unit 247 bidding unit 271 first information reading unit 272 prosperity prediction unit 273 second information reading unit 274 information acquisition unit 275 consumption prediction unit 276 unit price determination unit 277 power trading plan creation unit , 278 bid 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 (12)

An information processing device that executes a bid for a first mobile body to conduct a power transaction through the power trading market to a server that manages the power trading market in which a contract is executed at a predetermined place,
A second moving body equipped with a battery is parked at the predetermined location,
the second mobile body uses the electric power of the battery to carry out a predetermined business at the predetermined location;
The information processing device is
a communication device configured to communicate with the server;
a control device that creates a power trading plan for the first mobile unit to trade power through the power trading market;
The control device is
obtaining 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 from the server via the communication device;
Predicting a unit price of electricity to be bid by the second mobile unit to the server based on the unit price of electricity provided by an electric power company and the predetermined degree of prosperity of business predicted using the predetermined information;
creating the power trading plan based on the predicted power unit price;
An information processing device that executes a bid based on the created power trading plan. further comprising a storage device that stores a map having at least the type of transaction and the date and time of the transaction as arguments;
2. The information processing device according to claim 1, wherein said control device predicts said prosperity using said predetermined information and said map. The predetermined information further includes location information of the predetermined location,
Said map further takes as an argument the location where the transaction takes place,
3. The information processing device according to claim 2, wherein said control device predicts said prosperity using said predetermined information and said map. 4. The control device determines whether or not to place the bid based on at least one of distance and time required for movement from the current position of the first mobile body to the location of the predetermined location. The information processing device according to . The prosperity is indicated as a numerical value,
5. The control device according to any one of claims 2 to 4, wherein said control device creates said power trading plan for making a sell bid when said value indicating said degree of business activity is greater than a reference value. Information processing equipment. 6. The information processing device according to claim 5, wherein said control device creates said power trading plan for conducting a buying bid when said value indicating said degree of success is smaller than said reference value. An information processing device for executing a bid for a mobile body to conduct power trading through the power trading market to a server that manages the power trading market with a predetermined place as a contract execution place,
The moving body is
Equipped with a battery,
At the predetermined location, a predetermined business is conducted using the power of the battery,
The information processing device is
a communication device configured to communicate with the server;
a storage device for storing 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 electric power trading plan for the mobile body to trade electric power through the electric power trading market;
The control device is
A unit price of electricity to be bid for the server is calculated based on the unit price of electricity provided by the electric power company, the predetermined degree of prosperity of business predicted using the predetermined information, and the amount of power stored in the battery. ,
creating the power trading plan based on the calculated power unit price;
An information processing device that executes a bid based on the created power trading plan. The storage device further stores a map having at least the type of transaction and the date and time of the transaction as arguments,
8. The information processing device according to claim 7, wherein said control device predicts said prosperity using said predetermined information and said map. The predetermined information further includes location information of the predetermined location,
Said map further takes as an argument the location where the transaction takes place,
9. The information processing device according to claim 8, wherein said control device predicts said prosperity using said predetermined information and said map. The storage device further includes information indicating the power consumption of the mobile object and information indicating the power consumption of the electrical equipment brought into the mobile object,
The control device is
Predicting changes in power consumption from information indicating the power consumption of the mobile body, information indicating the power consumption of the electrical equipment, and the predicted prosperity,
10. The information according to any one of claims 7 to 9, wherein the power trading plan for conducting a buying bid is created when the amount of electricity stored in the battery is predicted to be less than a reference amount of electricity stored. processing equipment. a server that manages an electric power trading market with a predetermined place as a contract execution place;
a first information processing device that executes a bid for a first mobile unit to trade power through the power trading market;
a second information processing device that executes a bid for a second mobile unit to conduct power trading through the power trading market;
The second moving body is
Equipped with a battery,
At the predetermined location, a predetermined business is conducted using the power of the battery,
The first information processing device is
Predicting the prosperity of the predetermined business,
Predicting the unit price of electricity to be bid by the second information processing device to the server based on the unit price of electricity provided by an electric power company and the predicted degree of prosperity of the predetermined business;
Create a first power trading plan based on the predicted unit price of power,
executing a bid based on the created first power trading plan;
The second information processing device is
Predicting the prosperity of the predetermined business,
calculating a unit price of electricity to be bid for the server based on the unit price of electricity provided by the electric power company, the predicted degree of prosperity of the predetermined business, and the amount of power stored in the battery;
Create a second power trading plan based on the calculated power unit price,
executing a bid based on the created second power trading plan;
The power trading system, wherein the server causes the bid received from the first information processing device and the bid received from the second information processing device to be contracted according to a predetermined rule. The predetermined location includes a parking space in which a predetermined number of vehicles can be parked,
If the bid is agreed, the first moving body parks in the parking space and executes the agreement;
12. The power trading system according to claim 11, wherein said server includes a condition that said parking space is available as a condition for contracting a bid for said first information processing device.

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