JP2007206889A - Power station power supply management system, method, and program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To manage a power station by efficiently purchasing proper electric energy from an electricity market to a power station which supplies a power to an electric automobile. <P>SOLUTION: This system is provided with: a means which acquires the position information of a power station from a database storing at least the position information of a power station as a facility which charges an electric automobile, and acquires weather prediction at the position from a database where information acquired by predicting the weather of a predetermined region is stored, and acquires traffic volume prediction in the position from a database where information acquired by predicting a traffic volume in the section of a predetermined highway or the section of a general road is stored, and calculates the necessary electric energy of a power station installed in the position by referring to the database in which the prediction content of a power demand is stored by using the acquired weather prediction and traffic volume prediction; and a means which determines electric energy to be purchased from an electricity market according to the calculated electric energy. <P>COPYRIGHT: (C)2007,JPO&INPIT

Description

  The present invention relates to power supply to a power station that supplies power to an electric vehicle, and in particular, power station power supply management that calculates the amount of power required in the power station and can purchase the calculated power at a low price from the market. The present invention relates to a system, a method, and a program.

  With regard to conventional electric vehicles, as shown in FIG. 1, charging itself is performed at a business establishment such as a company (1), meter reading data is acquired by a power company (2), and then the power company contracts with a customer. Instruct the financial company to withdraw the electricity bill (3), the financial institution withdraws the specified amount from the customer's account, delivers the withdrawn electricity bill to the power company (4), and the power company delivers the electricity bill A series of processing is performed to confirm (5) and issue a receipt to the customer (5).

In the above, for example, when an office is a power station, the electricity charge when the power station charges an electric vehicle is determined by the unit price of the contracting power company.
In addition, the power station did not purchase the power required by the plurality of power stations all at once from the power market with a low unit price.

In addition, as a technique related to a conventional electric vehicle and a power stand, Patent Document 1 discloses a technique for providing an electric vehicle power supply system that can supply electric power necessary for motor driving from the ground to the electric vehicle in a short time. Has been proposed.
JP 2005-073313 A

However, the conventional power supply methods do not consider power demand that depends on the weather, busy seasons such as weekends, holidays, and consecutive holidays, and weekdays. Sometimes happened.
Moreover, since it was not going to purchase electric power from a cheap electric power market, it would purchase expensive electric power, and the electricity bill of the power stand was not so cheap.
In addition, since power is purchased for each power station, man-hours are required for each power station, and it is difficult to reduce the electricity bill.

  In addition, in the technology proposed in the above-mentioned Patent Document 1, it is considered that the power supply system is efficiently supplied with electricity or purchased in accordance with the customer's demand in the season such as the weather, busy season, and quiet season. There is no description.

  The present invention has been made in view of the above-described circumstances, and in power stations installed in various places, for example, weather prediction and traffic volume prediction for the next day, and periods such as busy periods and quiet periods (attributes of the day) ) To calculate the amount of power required for the power station, and purchase the cheap power from the power market all together with the total amount of all power stations and supply each power station. It is an object to provide a power supply management system, method, and program.

  In order to achieve the above object, a power station power supply management system according to the present invention is a system that supports power supply of a power station that supplies power to an electric vehicle, and predicts weather in a predetermined region. A weather forecast database that stores information, a traffic volume prediction database that stores information that predicts the traffic volume of a predetermined expressway or general road section, and at least position information of a power station that is a facility for charging an electric vehicle The power station information database to be stored, the power demand prediction database to classify and store the predicted value of power demand according to weather conditions, traffic volume, and attributes of the day, and the position of the power station from the power station information database, Get the weather forecast at the location from the weather forecast database, and the traffic volume A traffic volume prediction at the position is acquired from the measurement database, and the required power amount of the power station installed at the position is calculated by referring to the power demand prediction database using the acquired weather prediction and traffic volume prediction. It is provided with: a power amount calculating means; and a power procurement means for determining a power amount to be purchased from the power market according to the calculated power amount.

  In the present invention, the amount of power required for a power station is determined based on past power demand statistics from weather conditions, vehicle traffic, and attributes of the day such as busy and quiet periods depending on the position of the power station. The amount of power can be calculated using the forecast data, and the calculated amount of power can be purchased from the power market and distributed to each power station. It can be purchased at a low price from the electricity market where the competition principle works and provided to customers.

  Preferably, a power unit price calculating means for determining a power unit price of the power station with reference to a power unit price of a nearby competitive power station for each power station is provided.

  In the present invention, the power unit price of a nearby competing power station can be investigated for each power station, and the power unit price can be determined using a predetermined calculation formula, so that attractive price setting can be performed for the customer. .

  Furthermore, it is preferable to provide a weather information acquisition unit that acquires weather prediction data from a weather prediction company connected online via a communication network and stores the data in a weather prediction database.

  In the present invention, since weather forecast data can be directly exchanged online, the number of man-hours such as putting the data once obtained in a file into the system can be reduced, and the work itself can be performed efficiently.

  Preferably, traffic information acquisition means for acquiring traffic information of the expressway or general road from a traffic prediction company for vehicles connected online via a communication network and storing the traffic information in the traffic prediction database, Configure to include.

  In the present invention, since traffic volume prediction data can be directly exchanged online, it is possible to reduce the number of man-hours such as putting the data once obtained in a file into the system, and the work itself can be performed efficiently.

  More preferably, it is configured to include a charge calculation / settlement means for calculating an electricity bill according to the amount of power notified from the power station and performing a settlement process.

  In the present invention, the amount of power used by the customer online can be acquired from the power station, and the details of electricity charges can be withdrawn and a receipt can be issued according to the acquired amount of power, so that work efficiency can be improved. it can.

  In order to achieve the above object, a power supply support method according to the present invention is a method for providing power supply support for a power station that supplies power to an electric vehicle, wherein the power station is a facility for charging an electric vehicle. At least a power station position is acquired from a power station information database that stores position information, a weather prediction at the position is acquired from a weather prediction database that stores information predicting weather in a predetermined area, and a predetermined expressway The traffic volume prediction at the location is acquired from the traffic volume prediction database that stores the traffic volume prediction information of the road section or the general road section, and the predicted value of power demand is obtained from the weather forecast and the traffic volume prediction. By referring to the electricity demand forecast database that is classified and stored according to the situation, traffic volume, and attributes of the day A power amount calculating step of calculating a required power amount of the installed power stand position, characterized in that it comprises a power sourcing determining the amount of power purchased from the electricity market, the according to the power amount that is the calculated

  Preferably, a weather information acquisition step of acquiring weather prediction data from a weather prediction company connected online via a communication network and storing it in the weather prediction database, and a vehicle traffic connected online via a communication network It is configured to include at least one of a traffic volume information acquisition step of acquiring traffic volume information of the expressway or general road from a volume prediction company and storing it in the traffic volume prediction database.

  In order to achieve the above object, a power supply support program according to the present invention is a program that operates on a computer that supports power supply of a power station that supplies power to an electric vehicle, and is a facility for charging an electric vehicle. Obtaining the position of the power station from the power station information database that stores at least the position information of the power station, and acquiring the weather prediction at the position from the weather prediction database that stores information predicting the weather in a predetermined region, Obtain traffic forecast at the location from the traffic forecast database that stores information that predicts the traffic volume of a predetermined expressway section or general road section, and use the weather forecast and traffic forecast to obtain power demand. Demand for electricity that is classified and stored by weather conditions, traffic volume, and attributes of the day A power amount calculation process for calculating a required power amount of a power station installed at the position by referring to a prediction database; and a power procurement process for determining a power amount to be purchased from the power market according to the calculated power amount; Are operated on a computer.

  According to the present invention, the amount of power required for a plurality of power stations is calculated using weather forecast data, traffic volume forecast data, and day attributes such as busy periods and quiet periods, and the calculated total quantity is calculated. Since it can be procured cheaply from the electricity market, it is possible to supply each power station with an appropriate amount of electricity at a low price, providing customers with low electricity bills, and the power sales side saving waste. And can provide services efficiently.

  Embodiments of the present invention will be described below. FIG. 2 is a diagram showing an overall concept of the power station power supply management system according to the first embodiment of the present invention. Unlike the prior art, the power station power supply management system according to the embodiment of the present invention includes a power station 3, a weather prediction company 5 that predicts weather and provides weather information predicted to a third party, a highway, and a general road. A new business F21 has been added, which is a road traffic volume forecasting company 6, a power market 7, and a plurality of power stations that collectively predict traffic volume and provide traffic volume information predicted to a third party. Yes.

  As the flow of electric power and money, first, the electric vehicle F13 charges at the power station 3 (1), and the power station 3 notifies the meter reading data to the new business F21 (2). The new business F21 instructs the financial institution to withdraw the fee corresponding to the meter reading data (3). Here, the electricity unit price described below is used as the electricity rate. The financial institution F14 withdraws the designated electricity bill from the user's account and delivers the electricity bill to the new business F21 (4). Next, after confirming the electricity bill, the new business F21 issues a receipt and sends it to the establishment that is the owner of the electric vehicle using the power station 3 (5).

  Next, a procedure for the new business F21 to purchase power will be described. First, weather prediction data is acquired from the weather prediction company 5 (a), and traffic volume prediction data is acquired from the road traffic volume prediction company 6 (b). The weather forecast data and traffic volume forecast data are assumed to be data of the next day. Even the data after the next day can be performed in the same manner, although the accuracy is different. The new business F21 calculates the amount of power to be purchased from the electricity market based on the weather data and traffic volume data and the timely data such as busy and quiet periods on the next day.

  The new business F21 purchases the calculated amount of power from the power market 7 (c), and supplies the calculated amount of power to each power station (d). The purchase of electric power is performed in the flow.

  FIG. 3 shows a schematic diagram of the system configuration of the power stand power supply management system. The power station 3, the weather forecasting system 5 of the weather forecasting company, the traffic forecasting system 6 of the traffic forecasting company, the power market trading system 7 of the power market and the power stand power supply management system 1 can communicate via the communication network 4. It is connected. The power station power supply management system 1 further includes a power station management server 101 having a power station information database (DB) 142, a power procurement server 102 having a power demand prediction database (DB) 145, and a customer information database (DB) 141. The fee calculation / settlement server 103 and a printer F31 for printing withdrawal slips and receipts are included.

  FIG. 4 shows a power station power supply management system 1 according to the first embodiment of the present invention, a power station terminal 3 installed in the power station, a weather forecast system 5 installed in the weather forecast company, and a traffic forecast company. The block block diagram of the traffic volume prediction system 6 installed in is shown. Here, the power station power supply management system 1 is installed, managed, and operated in a power sales company that manages power supply of the power station and the like or a service provider. The power station power supply management system 1, power station terminal 3, weather prediction system 5, traffic volume prediction system 6, and power market transaction system 7 are configured to be communicably connected via a communication network 4. In FIG. 3, the power station management server 101, the power procurement server 102, and the charge calculation / settlement server 103 are integrated into the power station power supply management system 1.

  The power stand power supply management system 1 includes a transmission / reception unit 12 for transmitting / receiving data via the communication network 4, a central processing unit 13 for processing data received from the transmission / reception unit 12, and various other processes. It comprises a storage unit 14 for storing data, an input unit 15 for inputting / outputting data to / from the central processing unit 13, and a display unit 16. The input unit 15 and the display unit 16 are parts having a man-machine interface function. The transmission / reception unit 12 has a communication protocol function.

  The power stand power supply management system 1 in the present embodiment includes an input unit 15 and a display unit 16, but input / output to the system is externally via a serial line or a communication network 4 not shown. It can also be done.

  Further, the central processing unit 13 is a transmission / reception processing means (function) 131 that exchanges data with the transmission / reception unit 12, and an input / output processing means (function) 132 that exchanges data with the input unit 15 or the display unit 16. , Information registration means (function) 133 for registering information such as user information received via the input / output processing means (function) 132 or the transmission / reception processing means 131, the amount of power required for each power station, weather forecast data, Electricity amount calculating means (function) 134 for calculating using traffic volume prediction data, electric power demand prediction data, and the like, and electric power procurement means (function) 135 for procuring the calculated electric energy from the electric power market using the electric power market transaction system 7 Investigate the power unit price of the nearby competing power station for each power station and determine the appropriate unit electricity price at that power station A stage (function) 136, a weather information acquisition means (function) 137 for obtaining desired weather forecast data from the weather forecast system 5 when the weather forecast system 5 is connected so as to be able to communicate online, and a traffic volume forecast system 6 Traffic information acquisition means (function) 138 for acquiring desired traffic information from the traffic volume prediction system 6 when connected to each other online, and calculation of a charge for each meter reading data based on the meter reading data of each power station And a charge calculation / settlement means (function) 139 that performs a settlement and issues a receipt or a withdrawal slip.

  In the present embodiment, the weather prediction system 5 and the traffic volume prediction system 6 are configured to be able to communicate with the power stand power supply management system 1, but when weather forecast information and traffic volume information are obtained in a file or the like. It is also possible to input information on weather prediction and traffic volume prediction using the information registration means 133.

  In addition, the storage unit 14 includes a customer information database (DB) 141 that stores information necessary for a customer who uses a power station provided by the power station power supply management system 1, a power station installation location, a position, a nearby road Power station information database (DB) 142 that stores information such as, weather forecast database (DB) 143 that stores information such as daily weather and temperature in a frame divided on the mesh by latitude and longitude, expressways and general A traffic volume prediction database (DB) 144 that stores the position and traffic volume prediction contents for each predetermined section of the road, and the predicted number of traffic volumes for each probability such as the probability of rainfall in the weather related to power demand. And save the necessary amount of power for each seasonal pattern (day attributes) such as busy and quiet days of the day. And a power demand prediction database (DB) 145 to.

  In the present embodiment, the power stand terminal 3 is a terminal having a function of notifying the result of receiving the power unit price information and performing meter reading. The weather forecasting system 5 is a system that provides weather forecasting data for a day and place designated upon request. The traffic volume prediction system 6 is a system that provides traffic volume prediction information at a position specified by a request.

  The power station terminal 3, the weather prediction system 5, and the traffic volume prediction system 6 are similar to the power station power supply management system 1, respectively, with transmission / reception units 32, 52, 62, central processing units 33, 53, 63, and inputs. It consists of parts 35, 55, 65 and display parts 36, 56, 66. The input unit 55 and the display unit 56 have a man-machine interface function. The transmission / reception unit 52 is a part having a communication protocol function. Further, although not shown, the central processing unit 53 is configured by transmission / reception processing means, input / output processing means, and the like.

  Although not shown in the block diagram, the electric power market trading system 7 has a transmission / reception unit, a central processing unit, an input unit, a display unit, etc. like the weather prediction system 5 and the like. You can send and receive.

  The communication network 4 is a dedicated communication network laid by a user or a communication network that connects various devices using, for example, an IP protocol as a communication protocol in which various lines borrowed from a communication carrier are determined in advance. is there. The communication network 4 includes a wireless LAN network, a wireless LAN base station, and the like. ADSL (Asymmetric Digital Subscriber Line), FTTH (Fiber To The Home), wide area LAN (Local Area Network), etc. can be used as the communication line.

  FIG. 5 is a data configuration of the customer information DB 141 that stores information on customers who are subscribers to the power supply service of the power station provided by the power station power supply management system 1. As customer information, “customer name”, “customer ID”, “address”, “transaction record”, “total transaction amount”, “current transaction amount”, “settlement status”, and the like can be registered.

  FIG. 6 is a data configuration example of the power station information DB 142 that stores information on each power station. As the power station information, “name”, “ID” for identifying the power station, “installation location”, “position”, “neighboring road” with which the power station contacts, “power supply unit price”, “operation status”, and the like are stored. ing.

  FIG. 7 is a data configuration example of the weather forecast DB 143. In the present embodiment, the position of the power station is managed by a frame number divided on the mesh along the latitude and longitude, and the numbers are described in the “latitude” and “longitude” columns. The weather information predicted for each year, month and day is stored for the frame specified by the number indicating latitude and longitude. For example, the time zone from 00:00 to 01:00 on December 23, 2005 at a place where the latitude and longitude are (0001, 0001) is “the probability of rain is 60%, the wind is 5 m / s, The probability is 20% and the temperature is 8 ° C. ”.

  FIG. 8 is a data configuration example of the traffic volume prediction DB 144 that stores the predicted number of traffic volumes for each year in a predetermined road section. The position in the traffic volume prediction DB 144 represents the latitude / longitude by a number as in the weather prediction DB 143. The section of the road where the center of the road exists is stored in the section where the road section is long and does not fit within the frame divided on the mesh by latitude and longitude.

  FIG. 9 is a data configuration example of the power prediction DB 145 that stores various forecasted weather, traffic at that time, and the amount of power procurement required by patterns such as busy days and quiet periods of the day. In this embodiment, “rain probability”, “snow probability”, “thunderstorm probability”, etc. are registered as weather information, and the predicted number of traffic is stored for each probability range. In addition, for each of the traffic volume forecasts described above, the amount of power required during busy periods and quiet periods such as “Saturday”, “Sunday / Holiday”, “Weekday”, and “Long Week” is stored. This procurement amount is determined and registered in advance based on past results.

The power stand power supply management system 1 in the first embodiment is configured as described above, and the operation thereof will be described below with reference to flowcharts and the like.
[1. Registration of information]

  The flowchart for registering information used in the power stand power supply management system 1 is not shown, but operates as follows. Registration of customer information as a service subscriber, power station information, weather prediction information and traffic volume prediction information when not online, etc. is connected to the input unit 15 and the display unit 16 of the power station power supply management system 1. Direct registration using the keyboard and screen. Alternatively, connect using a serial line (not shown) as a personal computer, or connect from the outside via an in-house LAN (Local Area Network) or communication network 4 and log in to make settings It is also possible to do.

  When setting information via a network, it is desirable to enhance security and transmit ID and password and encrypt data transmission / reception information. Hereinafter, a processing procedure in the case of performing registration using a keyboard directly connected to the power stand power supply management system 1 will be described. First, a login request is made by specifying a login name and a password to the power stand power supply management system 1 by operating the keyboard.

  When the login information is correct, the screen of the power station power supply management system 1 displays a work selection screen, etc., and the user can select customer information, power station information, and weather prediction information when not online. Registration of traffic forecast information and the like can be selected. Next, input screens such as selected customer information, power station information, weather prediction information and traffic volume prediction information when not online, and related information are displayed, and the user inputs with the keyboard.

  The weather forecast information and the traffic volume forecast information may be registered as they are by specifying a file. The input information is notified to the information registration unit 133. The information registration unit 133 checks the contents, and if there is no problem, the input information is displayed when the customer information DB 141, the power station information DB 142, and the online information are not online. Register in the weather forecast DB 143 and the traffic volume forecast information DB 144.

By inputting necessary information such as customer information in the above processing, registration of customer information, power station information, weather forecast information and traffic forecast information when not online, etc. can be performed.
[2. Calculation of electric energy]

  FIG. 10 is a flowchart showing an operation procedure of an electric energy calculation routine for calculating electric energy required in each electric power station using weather prediction data, traffic prediction data, and electric power demand prediction data. This operation is an operation performed by the power amount calculation unit 134. The processing procedure is also shown in a flowchart for an operation performed by the power station terminal 3 to acquire a unit electricity rate of power required when the power station terminal 3 charges the meter reading data. Hereinafter, the processing will be described with reference to FIG.

First, the position information of the target power station is acquired from the power station information DB 142 (S101a), and the weather prediction data for the next day at the acquired position is acquired from the weather prediction DB 143 (S102a). Further, the traffic prediction data for the next day at the acquired position is acquired from the traffic prediction DB 144 (S103a). Next, the amount of power required for the target power station is calculated by referring to the power demand prediction DB 145 using the acquired weather prediction data and traffic volume prediction data (S104a).
Next, it is determined whether or not the processing of all target power stations has been completed (S105a). If not completed, the next power station is designated (S106a), and the process returns to step S101a to perform the processing of all power stations. The above process is repeated until the process is completed.

  When all the power stations have been processed (yes route in S105a), the process proceeds to step S107a, and after starting the “power procurement routine” and determining the power procurement price by bidding, the next day power unit price is calculated. “Power unit price determination routine” is activated (S108a). The calculated next day power unit price is notified to all target power stations (S109a), and the process is terminated.

The power stand captures the unit price of power received in step S109a (S101b), and transmits the captured unit price of power to a power supply terminal that supplies power (S102b). Next, the meter reading data is taken in (S103b), the power supply amount and the electricity bill (meter reading data) are notified for each customer (S104b), and the process is terminated.
[3. Electricity procurement]

  FIG. 11 is a flowchart showing a processing procedure of an operation of “power procurement routine” in which necessary power amounts of all the power stations are summed up and the total power amount is procured from the power market. This operation is an operation performed by the power procurement means 135, and the process will be described below with reference to FIG.

First, the calculated amount of power necessary for each power station is added (S111). Next, it is determined whether or not the processing of all the power stations has been completed (S112). If the processing has not been completed, the next power station is designated (S113), and the process returns to step S111. Repeat the process. When the processing of all the power stations is completed (yes route of S112), the power supply processing is then performed on the total amount of power using the power market trading system 7 of the power market (S114). For example, although not shown, “A” percent of the required amount may be procured from the electric power market in advance, and the value “A” may be configured to be changeable. When a shortage occurs at the power station or when it reaches a peak, it is also possible to receive power at a normal unit price regardless of the power market from the power company.
[4. Determination of unit price of electricity]

  FIG. 12 is a flowchart showing an operation procedure of a power unit price determination routine for determining a power unit price for providing power of a power station after investigating a power unit price of a nearby competing power station. This operation is performed by the power unit price determining means 136, and the processing will be described below with reference to FIG.

  First, power unit prices of competing power stations near the target power station are collected (S121). In this collection, power unit price information of a nearby competitive power station (not shown) is extracted under a predetermined condition. It is determined whether or not the collection of the power unit price based on the predetermined condition is completed (S122). If not completed, the process returns to step S121, and the above process is repeated until the power station process matching the predetermined condition is completed.

  Next, the average power unit price, maximum price, and minimum price are obtained (S123), and the average price, maximum price, and minimum price are used to set the price according to a predetermined pricing rule not shown in the figure ( S124). The predetermined price setting rule may be determined for each power station or uniformly. For example, in a uniform case, the price is set to 95% of the average price, or the same price as the minimum price is set.

Next, it is determined whether or not the processing of all the power stations has been completed (S125). If the processing has not been completed (no route of S125), the process returns to step S121, and the above processing is performed until the processing of all the power stations is completed. repeat. If all the power stations have been processed, the process ends. The power unit price of each power station is determined by the operation as described above.
[5. Acquisition of weather information]

  FIG. 13 shows an operation in which the “weather prediction acquisition routine” acquires weather prediction data when the weather prediction system 5 is connected to the power station power supply management system 1 via the communication network 4 online. It is a flowchart which shows the process sequence of. This operation is performed by the weather information acquisition unit 137, and the processing will be described below with reference to FIG.

  First, the “meteorological information acquisition routine” accesses the weather prediction system 5 according to a procedure determined in advance between the weather prediction system 5 and the power stand power supply management system 1 (S131b). Upon receiving the access (S131a), the weather forecasting system 5 requests an ID and a password (S132a), and when the "weather information acquisition routine" receives the information (S132b), it transmits a login ID and password prepared in advance ( S133b).

  The weather prediction system 5 checks the login ID and password (S133a), determines whether they match (S134a), returns to step S132b if they do not match, and repeats the above processing until they match. If the login ID and password match, a success notification is sent to the “weather information acquisition routine” (S135a), and the “meteorological information acquisition routine” that received the success notification (S134b) specifies the date / time, etc. It requests transmission of weather forecast information (S135b).

  The weather prediction system 5 that has received the weather prediction information transmission request (S136a) transmits the weather prediction data of the designated date and place to the “meteorological information acquisition routine” according to the agreement (S137a). In the above description, the date / location is passed as a parameter, but it is also possible to receive all weather forecast data without parameters. Or, some weather forecast data can be divided and transmitted.

The “meteorological information acquisition routine” that received the weather forecast information checks the contents (S137b), and if a problem is found, notifies the reception failure (S139b) and ends the process. If the check is OK, the acquired weather forecast data is taken into the weather forecast DB 143 (S138b), the weather forecast system 5 is notified of successful reception (S13Ab), and the process is terminated. The weather prediction system 5 receives the notification of successful reception (S139a) and ends the process. With the above operation, weather forecast data is acquired from the weather forecast system 5 and taken into the weather forecast DB 143.
[6. Acquisition of traffic information]

When the traffic volume prediction system 6 and the power stand power supply management system 1 can communicate via the communication network 4, the traffic volume information acquisition means 138 acquires the traffic volume prediction information. The operation performed by the traffic information acquisition unit 138 is the same as the operation procedure of acquiring the weather forecast data and storing it in the weather forecast DB 143. The traffic volume information acquisition means 138 accesses the traffic volume prediction system 6 according to a predetermined procedure, and acquires necessary traffic volume prediction data using parameters such as date / time or place only. This traffic volume prediction data may be acquired all at once, or may be divided and acquired. The acquired traffic volume prediction data is taken into the traffic volume prediction DB 144.
[7. Charge calculation and settlement]

  FIG. 14 is a flowchart showing a processing procedure of a “fee calculation / settlement routine” for creating a withdrawal slip and a receipt performed after the electric vehicle supplies power at the power station. This operation is performed by the charge calculation / settlement means 139, and the processing will be described below with reference to FIG.

First, a power supply amount and an electricity charge (meter reading data) are notified to each customer from the power station via the communication network 4 (S141b), and a charge calculation / settlement routine is received (S141a). Electricity charges are calculated by multiplying the power unit price from the power supply amount for each received customer (S142a). Next, a “withdrawal voucher” to be sent to the financial institution based on the calculated electricity bill is created and issued (S143a). After confirming that the electricity bill has been debited, the settlement status is registered in the customer information DB 141 (S144a), and a receipt for the previous month is created (S145a) and sent to the customer.
The first embodiment of the present invention is configured and operates as described above.

  According to the present invention, it is possible to calculate the amount of power procurement according to the place where the power station is installed, and also by weather forecasting, traffic volume forecasting and power demand forecasting. Since the power station can be powered, the appropriate amount of power can be purchased at a low price, the customer can purchase the power cheaply, and the power sales company can purchase the appropriate amount, so the effort and effort It does not take.

  Next, a second embodiment will be described below. In the second embodiment, the traffic volume prediction DB 144 and the power demand prediction DB 145 have different data configurations.

Unlike the traffic volume prediction DB 144 shown in FIG. 8, FIG. 15 stores not only the number of automobiles but also the predicted traffic volume for each type of automobile such as a large car or a small car. In addition, the power demand prediction DB 145 is configured so as to know the amount of power required depending on the type of automobile so as to match the configuration of the traffic volume prediction DB 144.
[7. Prediction of traffic volume by car type and calculation of required electric power]

Although the “power calculation routine” in the second embodiment is not shown, in addition to the flowchart shown in FIG. 10, only the calculation of the amount of power required in step S104a is performed for each type of vehicle. It is. This corresponds to the case where the traffic volume prediction data is stored in the vehicle type by the above operation.
The second embodiment of the present invention is configured and operates as described above.

  According to the present invention, since the traffic volume is predicted for each vehicle type, a more detailed calculation of the electric energy can be performed.

It is a figure which shows the operation | movement of the purchase of the electric power of the conventional electric vehicle. It is a conceptual diagram of the power supply of the power stand by this invention. It is a schematic block diagram of the power stand power supply system by this invention. It is a functional block diagram of the apparatus which comprises the power stand power supply management system concerning the 1st Embodiment of this invention. It is a data structural example of customer information DB of FIG. 5 is a data configuration example of a power station information DB in FIG. 4. It is a data structural example of the weather forecast DB of FIG. It is a data structural example of traffic volume prediction DB of FIG. It is a data structural example of electric power demand prediction DB of FIG. It is a flowchart which shows the process sequence of the operation | movement which the electric energy calculation means of FIG. 4 performs. It is a flowchart which shows the process sequence of the operation | movement which the electric power procurement means of FIG. 4 performs. It is a flowchart which shows the process sequence of the operation | movement which the electric power unit price determination means of FIG. 4 performs. It is a flowchart which shows the process sequence of the operation | movement which the weather information acquisition means of FIG. 4 performs. It is a flowchart which shows the process sequence of the operation | movement which the charge calculation / payment means of FIG. 4 performs. It is a structural example of traffic prediction DB concerning the 2nd Embodiment of this invention. It is a structural example of electric power demand prediction DB concerning the 2nd Embodiment of this invention.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Power stand power supply management system 3 Power stand terminal 4 Communication network 5 Weather prediction system 6 Traffic volume prediction system 7 Electric power market transaction system 12, 32, 52, 62 Transmission / reception part 13, 33, 53, 63 Central processing part 14 Memory | storage 15, 35, 55, 65 Input unit 16, 36, 56, 66 Display unit 131 Transmission / reception processing unit 132 Input / output processing unit 133 Information registration unit 134 Electric energy calculation unit 135 Electricity procurement unit 136 Electric power unit price determination unit 137 Weather information acquisition Means 138 Traffic information acquisition means 139 Charge calculation / settlement means 141 Customer information (database) DB
142 Power station information (database) DB
143 Weather forecast (database) DB
144 Traffic forecast (database) DB
145 Electricity demand forecast (database) DB

Claims (8)

A system for supporting power supply of a power station that supplies power to an electric vehicle,
A weather forecast database that stores information that predicts the weather in a predetermined area;
A traffic volume prediction database that stores information that predicts the traffic volume of a predetermined expressway or general road section;
A power station information database that stores at least position information of a power station that is a facility for charging an electric vehicle;
A power demand forecast database that stores power demand forecast values classified according to weather conditions, traffic volume, and current day attributes;
The position of the power station is acquired from the power station information database, the weather prediction at the position is acquired from the weather prediction database, the traffic volume prediction at the position is acquired from the traffic volume prediction database, and the acquired weather prediction and A power amount calculating means for calculating a required power amount of a power station installed at the position by referring to the power demand prediction database using traffic volume prediction;
Power procurement means for determining the amount of power to be purchased from the power market according to the calculated amount of power;
A power stand power supply management system comprising: A power unit price calculating means for determining a power unit price of the power station with reference to a power unit price of a nearby competitive power station for each power station;
The power stand power supply management system according to claim 1, further comprising: Weather information acquisition means for acquiring weather prediction data from a weather prediction company connected online via a communication network and storing it in the weather prediction database;
The power stand power supply management system according to claim 2, further comprising: Traffic information acquisition means for acquiring traffic information of the expressway or general road from a traffic prediction company for vehicles connected online via a communication network, and storing it in the traffic prediction database;
The power stand power supply management system according to claim 2, further comprising: A charge calculation / settlement means for performing a settlement process by calculating an electricity bill according to the amount of power notified from the power station;
The power stand power supply management system according to any one of claims 1 to 4, further comprising: A method for providing power support for a power station that supplies power to an electric vehicle,
Obtain the position of the power station from the power station information database that stores at least the position information of the power station, which is a facility for charging the electric vehicle,
Get the weather forecast at the location from the weather forecast database that stores the information that predicted the weather of the predetermined area,
Obtaining a traffic volume prediction at the position from a traffic volume prediction database storing information predicting the traffic volume of a predetermined expressway section or a general road section;
Power installed at the location by referring to a power demand prediction database that stores the predicted values of power demand by using the acquired weather prediction and traffic volume prediction, classified according to weather conditions, traffic volume, and attributes of the day A power amount calculating step for calculating a required power amount of the stand;
A power procurement step for determining the amount of power to be purchased from the power market according to the calculated amount of power;
A power supply support method comprising: Obtaining weather forecast data from a weather forecast company connected online via a communication network and storing it in the weather forecast database; and
A traffic information acquisition step of acquiring traffic information of the expressway or a general road from a traffic prediction company for vehicles connected online via a communication network, and storing the traffic information in the traffic prediction database;
The power supply support method according to claim 6, comprising at least one of the following. A program that runs on a computer that supports power supply of a power station that supplies power to an electric vehicle,
Obtain the position of the power station from the power station information database that stores at least the position information of the power station, which is a facility for charging the electric vehicle,
Get the weather forecast at the location from the weather forecast database that stores the information that predicted the weather of the predetermined area,
Obtaining a traffic volume prediction at the position from a traffic volume prediction database storing information predicting the traffic volume of a predetermined expressway section or a general road section;
Power installed at the location by referring to a power demand prediction database that stores the predicted values of power demand by using the acquired weather prediction and traffic volume prediction, classified according to weather conditions, traffic volume, and attributes of the day A power amount calculation process for calculating the required power amount of the stand;
A power procurement process for determining the amount of power to be purchased from the power market according to the calculated amount of power;
The power supply support program characterized by operating a computer on a computer.