JP5446830B2 - Electric power price management system - Google Patents

Description

The present invention relates to the power price management systems.

 Recently, power consumers such as individual houses, apartment houses, large stores, factories, etc. have their own charging equipment and power generation equipment to cover the supply and demand of power without using commercial power as much as possible. To be increased. Since there is a limit to the power supply and demand of only individual power consumers, as described in Patent Document 1, a power network is formed between a plurality of power consumers, and surplus power of a certain power consumer It is disclosed that power is supplied as a shortage of electricity consumers. A system that has a generator and a power storage device and that can supply and receive power as much as possible through self-sustaining operation is called a microgrid (or microgrid system). In this microgrid, Self-sustained operation that minimizes power transfer in the country is strongly desired.

Also, recently, vehicles such as electric vehicles and plug-in hybrid vehicles that drive a traveling motor using a battery as a power source (vehicles equipped with a traveling battery) are increasing. Patent Document 2 predicts the amount of electric power held for a predetermined time ahead from the prediction of generated power and power consumption prediction up to a predetermined time ahead, and determines the charging (power selling) price for a vehicle equipped with a traveling battery from the market price. In addition, a renewable energy utilization system that is set to be cheaper has been proposed.

WO2004 / 073136 A1 JP 2008-131841 A

By the way, when a vehicle equipped with a traveling battery is popularized, it is important how many charging facilities are installed. On the other hand, on the power supply system side such as a microgrid, it is important how to effectively use the internal power. In particular, a battery mounted on a vehicle equipped with a traveling battery has a large amount of stored electricity (amount of discharge), so that charging and discharging of a vehicle equipped with a traveling battery running near the power supply system can be used effectively. If possible, it is preferable for proper operation of the power supply system, and in particular, selling power from the power supply system side is important for improving profits of the power supply system.

 As described above, when power is transferred using a traveling battery-equipped vehicle that is traveling in the vicinity of the power supply system, the purchase price of power induces the traveling battery-equipped vehicle to the power supply system. It becomes a big factor when doing. That is, for example, if the price for charging (for power sale) from the power supply system side to the vehicle equipped with the traveling battery is set high, it becomes difficult to guide the vehicle equipped with the traveling battery, and conversely, the price for charging should be set low. If this is the case, it becomes easier to guide the vehicle equipped with the battery for traveling.

The present invention has been made in consideration of the above-described circumstances, and its purpose is to manage the power price so that the power price can be set so that the traveling battery-equipped vehicle can be appropriately guided to the power supply system. It is to provide a system.

In order to achieve the above object, the following solution is adopted in the power price management system of the present invention. That is, as described in claim 1 in the claims,
Battery information acquisition means for acquiring, via a communication network, information related to a battery storage amount of a vehicle equipped with a traveling battery located in and near the power supply system;
Vehicle behavior information acquisition means for acquiring vehicle behavior information including a current position, a traveling direction, and a destination of the vehicle via a communication network;
Predicting the number of vehicles and the number of vehicles for power trading with the power supply system based on the information on the amount of stored battery power acquired by the battery information acquisition unit and the vehicle behavior information acquired by the vehicle behavior information acquisition unit Power trading vehicle prediction means,
From the information on the amount of stored battery power acquired by the battery information acquisition means and the vehicle predicted by the power trading vehicle prediction means and the number thereof, the trading power price setting means for setting the trading power price for a predetermined time ahead;
It is supposed to be equipped with. According to the above-described solution technique, it is possible to dynamically control the buying and selling price from the battery information in the vehicle equipped with the traveling battery and the behavior information, and to accurately guide the vehicle equipped with the traveling battery to the power supply system. This is preferable for improving profitability of the power supply system.

Preferred embodiments based on the above solution are as described in claims 2 to 7 in the claims. That is,
An appropriate storage amount prediction means for predicting an appropriate storage amount ahead of a predetermined time based on at least one of current storage amount information and past storage amount information of the storage device included in the power supply system;
A power supply and demand prediction means for predicting a power supply and demand amount for a predetermined time based on at least one of current power supply and demand information and past power supply and demand information in the power supply system;
A power storage amount prediction unit that predicts a power storage amount ahead of a predetermined time of the power storage device from the current power storage amount information of the power storage device and the power supply / demand amount predicted by the power supply / demand prediction unit,
A storage amount gap prediction unit that predicts a gap between the storage amount after a predetermined time from the storage amount predicted by the storage amount prediction unit and the storage amount predicted by the storage amount prediction unit;
Further comprising
The electric power purchase price setting means sets the electric power sale price taking into account the gap of the electric storage amount predicted by the electric storage amount gap prediction means,
(Corresponding to claim 2). In this case, it is preferable to eliminate or reduce the power supply / demand gap of a predetermined time in the power supply system.

It further comprises other price acquisition means for acquiring the buying and selling price in another power supply system in the vicinity of the power supply system via a communication network,
The electric power purchase price setting means sets the electric power sale price in consideration of the other price acquired by the other price acquisition means,
(Corresponding to claim 3). In this case, it is even more preferable to guide the vehicle equipped with the traveling battery to the power supply system more accurately.

 The power purchase price setting means sets the power purchase price high when the power demand is excessive, and sets the power purchase price low when the power supply is excessive (corresponding to claim 4). In this case, it is even more preferable for guiding the vehicle equipped with the traveling battery to the power supply system.

 The power supply / demand prediction means predicts the power supply / demand in consideration of the dischargeable amount from the vehicle to the power supply system (corresponding to claim 5). In this case, it is preferable for accurately predicting the power supply and demand.

 The power supply system is configured as a microgrid including a power storage device, a power generation device, and a power consumption load (corresponding to claim 6). In this case, it is possible to increase the chances of autonomous operation of the microgrid by using the vehicle equipped with the traveling battery.

Based on at least one of current power supply and demand information and past power supply and demand information in the microgrid, comprising power supply and demand prediction means for predicting power supply and demand in a predetermined time ahead,
The power supply / demand prediction means takes into account the amount of discharge that can be discharged to the microgrid for a predetermined time from at least one of the individual power storage devices possessed by the individual power consumers in the microgrid and the battery of the vehicle with the individual traveling battery. And predicting the power supply and demand for a predetermined time ahead of the entire microgrid,
(Corresponding to claim 7). In this case, it is preferable for accurately predicting the power supply and demand.

 According to the present invention, it is possible to accurately guide the traveling battery-equipped vehicle with respect to the power supply system.

The figure which shows an example of the electric power grid | system to which multiple microgrids were connected. The figure which shows the control content in this invention in a block diagram. The flowchart which shows the example of control of this invention.

In FIG. 1, reference numeral 1 denotes a commercial power source, which is owned and managed by an electric power company, and is a normal AC power source. A plurality of microgrids MG1 to MG5 are connected to the commercial power source 1. In FIG. 1, MG1 is its own microgrid, and MG2 to MG5 are positioned as other microgrids. In the following description, when it is not necessary to distinguish each microgrid, the description will be made simply using MG codes. In FIG. 1, the microgrid MG is shown in a form in which a large number of detached houses are gathered, and in a condominium form in which a large number of houses are occupying. A microgrid can be constructed with the body.

 Each microgrid MG has one common power network 10, and this common power network 10 includes a common power generation device (a common power generation facility, for example, a power generation device using fuel such as solar power generation, wind power generation, and cogeneration). G that can be used), a common power storage device (a common storage battery, for example, a large-capacity battery) B, and a plurality of individual power consumers (electric loads that consume power in the) D are connected. Yes. For some of the common power grid 10 and some of the individual consumers D, a charging facility (also serving as a discharging facility) C for the traveling battery-equipped vehicle EV is connected. Each microgrid MG is connected to the commercial power source 1 via a gateway (not shown), and frequency adjustment, voltage adjustment, and phase adjustment are performed when power is exchanged with the commercial power source. In FIG. 1, only a part of the charging facility C is shown, but a large number (for example, 50) of one microgrid MG is connected.

 A management device U configured using a computer is connected to the own microgrid MG1. As described later, the management device U dynamically controls the power purchase / purchase price, and is equipped with a battery for traveling such as an electric vehicle or a plug-in hybrid vehicle traveling at least on the road R located near its own microgrid MG1. Control for guiding the vehicle EV for charging (or discharging) in its own microgrid MG1 is performed. Although omitted in FIG. 1, the same management apparatus U may be provided for some or all of the other microgrids MG2 to MG5.

 The management device U exchanges various information with a large number of vehicles EV, for example, by wireless communication (via a network). That is, the storage amount information of the battery mounted on the vehicle EV and the behavior information of the vehicle EV (information on the current position, the destination, and the traveling direction) are provided from the vehicle EV to the management device U. In addition, the management device U to the vehicle EV is provided with information on the position of the management device U (its own microgrid MG1) (particularly the position of the charging facility C) and the power purchase price. Furthermore, the management device U is connected to other microgrids MG2 to MG5 that are within a predetermined distance range from its own microgrid MG1 via a network (not shown) arranged along the commercial power source 1, for example. Get information on the price of buying and selling electricity. Furthermore, the management device U obtains information on various types of information related to the weather (sunny, rain, temperature, etc.).

 The contents of the control related to the setting of the power purchase / purchase price in the own microgrid MG1 by the management apparatus U will be described with reference to FIG. The management device U uses its own micro information based on the storage amount information of the vehicle-mounted battery (M1 correspondence) transmitted from the vehicle EV and the action information of the vehicle EV (corresponding to the current position, traveling direction, and destination, M2 correspondence). The number of vehicles predicted to come to the grid MG1 for charging (or discharging) is predicted (corresponding to M3). That is, among the vehicles EV traveling on the road R, the vehicle approaching the own microgrid MG1 is identified from the current position, the traveling direction, and the destination. Then, in the identified vehicle EV, when the storage amount is small and the destination is far from the current position, it is determined that there is a possibility of charging. Further, when the amount of stored electricity is large and the destination is close to the current position, it is determined that there is a possibility of discharging. In this manner, the number of vehicles EV that are charged (or discharged) by the own microgrid MG1 is predicted.

 The management device U obtains information on the current power storage amount of the common power storage device B in its own microgrid MG1 (M4 correspondence), and predicts the power supply / demand amount (M5 correspondence) of its own microgrid MG1 ahead of a predetermined time To do. Then, based on the predicted power supply and demand amount for the predetermined time ahead of the own microgrid MG1 and the current power storage amount of the common power storage device B, the power storage amount for the predetermined time ahead in the common power storage device B is predicted (M6). Correspondence).

 When predicting the power supply and demand amount for a predetermined time, for example, prediction can be made based on the current power supply and demand amount, and prediction can be made based on power supply and demand data for the past several years (for example, 1 to 5 years). You can also make predictions based on both current and past data, and make predictions based on both older and newer data of past electricity supply and demand. it can. For example, past power supply and demand data may be stored for each month, day of the week, and time for each difference in weather (clear, rain, temperature, etc.) (as a database). Memory, update).

 The management device U predicts the appropriate amount of power stored in the common power storage device B ahead of a predetermined time (corresponding to M7). The appropriate amount of power storage can be predicted based on the current amount of power storage, can be predicted based on past power storage amount information, and can be predicted from both current and past power storage amount information. In this prediction, it is also possible to make a prediction in consideration of the above-described power supply and demand in a predetermined time.

 For the common power storage device B, a gap in the power storage amount is predicted by subtracting the predicted power storage amount of the common power storage device B from the predicted appropriate power storage amount a predetermined time ahead (corresponding to M8). This gap in the amount of electricity stored indicates the margin of power supply and demand (the degree of tightness) for a predetermined time ahead of its own microgrid MG1. It is preferable to have the vehicle EV charged positively (a situation in which it is not desired to have the vehicle EV discharged). On the other hand, when the subtraction process is greatly positive, it is preferable that the vehicle EV has no power margin at a predetermined time ahead and that the vehicle EV is positively discharged (the vehicle EV is not desired to be charged). Status).

 The large management device U also obtains the number of vehicles EV that are expected to be charged / discharged to its own microgrid MG1 predicted as described above (since it also obtains information on the storage amount of the battery mounted on each vehicle, The total charge / discharge amount with the vehicle EV is predicted), the storage amount gap, and other microgrids MG2 to MG5 located near the own microgrid MG1 obtained via the network Is set (determined) based on the selling / purchasing power price (corresponding to M9) provided by its own microgrid MG1 (corresponding to M10). The set electric power selling / purchasing price is transmitted to the vehicle EV together with the position information of the charging equipment C via a wireless network or the like (for example, the electric power selling / purchasing price or the position of the charging equipment is displayed on the navigation screen). If the vehicle EV (the driver) who receives the power purchase price determines that the power purchase price is appropriate (appropriate), he / she visits his / her microgrid MG1 for charging / discharging.

 The setting of the buying and selling price is performed as follows. First, as the number of vehicles EV predicted to come for charging / discharging (total charging / discharging amount) increases, the buying / selling price is set higher. In addition, when the electricity storage gap is greatly negative, there is a surplus power, so the charging price (power selling price) for the vehicle EV is low, and the discharging price (power purchasing price) from the vehicle EV is also set low. The In addition, when the power storage amount gap is large and positive, there is no surplus power, so the charging price to the vehicle EV is high and the discharging price from the vehicle EV is also set high. Further, the higher the trading power price in the other micro grids MG <b> 2 to MG <b> 5 in the vicinity, the higher is set.

 FIG. 3 is a flowchart specifically showing the control related to the power purchase price setting by the management device U described above. In the following, this flowchart will be described, but the details already described in detail will be only a brief description. First, in S (step—the same applies hereinafter) 1, the battery storage amount information of the vehicle EV, the behavior information of the vehicle EV, and the current storage amount information of the common power storage device B in its own microgrid MG1 are read (FIG. 2 corresponding to M1, M2, and M4). Next, in S2, the number of vehicles EV (total charge / discharge amount) predicted to come to the own microgrid MG1 for charge / discharge is predicted (corresponding to M3 in FIG. 2).

 In S3, the power supply and demand amount for a predetermined time in the microgrid MG1 is predicted (corresponding to M5 in FIG. 2). Thereafter, in S4, the amount of power stored in the common power storage device B ahead of a predetermined time is predicted (corresponding to M6 in FIG. 2). After S4, in S5, the appropriate amount of power stored for a predetermined time ahead of the common power storage device B is predicted (corresponding to M7 in FIG. 2). In S6, a gap in the amount of electricity stored in common power storage device B is predicted (corresponding to M8 in FIG. 2).

 In S <b> 7, information on the buying and selling price at other micro grids MG <b> 2 to MG <b> 5 in the vicinity is obtained. Thereafter, in S8, the past power sale information stored and updated in the own microgrid MG1 is read. This trading power information is trading record data in which a desired trading power price and an actual trading result are associated with each other. Thereafter, in S9, the above-mentioned power purchase / purchase price is determined (corresponding to M10 in FIG. 2). The correction (correction) of the power purchase price based on this sales record data is a correction in the direction of decreasing if the past sales record is bad at the desired power purchase price, and a correction in the direction of increasing if the past purchase record is good. Is done.

 After S9, in S10, the trading performance at the final trading power price in S9 is monitored, and trading performance data is updated based on the result of this monitoring (update of data read in S8).

 Although the embodiment has been described above, the present invention is not limited to the embodiment, and can be appropriately changed within the scope described in the scope of claims. For example, the invention includes the following cases. . An individual power consumer D is connected to the common power network 10 and has an individual power network having individual generators and individual power storage devices, and is a microgrid of a type that operates as independent as possible within the individual power consumer D. There may be. In this case, the power supply / demand amount for a predetermined time as the entire microgrid MG1 can be obtained by summing the power supply / demand amounts for the predetermined time in individual power consumers D. The power supply system is not limited to the microgrid, and may be a system that exclusively sells power or a system that exclusively purchases power.

 As a parameter used when setting (determining) the power purchase / purchase price, the power purchase / purchase price between the microgrid MG1 and the commercial power source 1 may be taken into account (power sale to the commercial power source 1). The power purchase price is set higher than the price, and the power purchase price is lower than the power purchase price from the commercial power source 1). When predicting the amount of power supply and demand ahead of a predetermined time in its own microgrid MG1, the amount of electricity stored in the battery mounted on the traveling battery EV owned by the individual power consumer D in its own microgrid MG1 (can be discharged) (Vehicle EV may be either connected to the common power network 10 or connected to an individual power network configured in the individual power consumer D).

Information on the amount of stored battery can be, of course, the amount of stored electricity itself, for example, battery capacity, cruising distance, power consumption (corresponding distance per unit power), and information on a combination of any two or more of these. It may be. The vehicle EV may be a belonging vehicle belonging to the microgrid MG and a non-affiliated vehicle that does not belong to the vehicle EV, and it is predicted that the vehicle for buying and selling power and the number thereof are predicted by distinguishing the belonging vehicle from the non-affiliated vehicle. This is preferable for improving accuracy. When predicting the power supply and demand amount for a predetermined time, if the individual power consumer D itself has an individual power storage device (a power storage device other than the battery mounted on the vehicle EV) for independent operation, this individual power storage This may be performed taking into account the amount of electricity stored in the device (dischargeable amount), and in addition to this, taking into account the amount of electricity stored in the battery of the vehicle EV owned by the individual power consumer D (dischargeable amount). You may do it.

 The present invention can improve profitability while increasing opportunities for autonomous operation in a microgrid, for example.

MG1: Microgrid (self microgrid)
MG2 to MG5: Microgrid (other microgrids)
EV: Vehicle equipped with battery for running U: Management device R: Road G: Power generation equipment B: Power storage equipment C: Charging equipment D: Individual power consumer 1: Commercial power source 10: Common power network

Claims (7)

Battery information acquisition means for acquiring, via a communication network, information related to a battery storage amount of a vehicle equipped with a traveling battery located in and near the power supply system;
Vehicle behavior information acquisition means for acquiring vehicle behavior information including a current position, a traveling direction, and a destination of the vehicle via a communication network;
Predicting the number of vehicles and the number of vehicles for power trading with the power supply system based on the information on the amount of stored battery power acquired by the battery information acquisition unit and the vehicle behavior information acquired by the vehicle behavior information acquisition unit Power trading vehicle prediction means,
From the information on the amount of stored battery power acquired by the battery information acquisition means and the vehicle predicted by the power trading vehicle prediction means and the number thereof, the trading power price setting means for setting the trading power price for a predetermined time ahead;
An electricity price management system characterized by comprising: In claim 1,
An appropriate storage amount prediction means for predicting an appropriate storage amount ahead of a predetermined time based on at least one of current storage amount information and past storage amount information of the storage device included in the power supply system;
A power supply and demand prediction means for predicting a power supply and demand amount for a predetermined time based on at least one of current power supply and demand information and past power supply and demand information in the power supply system;
A power storage amount prediction unit that predicts a power storage amount ahead of a predetermined time of the power storage device from the current power storage amount information of the power storage device and the power supply / demand amount predicted by the power supply / demand prediction unit,
A storage amount gap prediction unit that predicts a gap between the storage amount after a predetermined time from the storage amount predicted by the storage amount prediction unit and the storage amount predicted by the storage amount prediction unit;
Further comprising
The electric power purchase price setting means sets the electric power sale price taking into account the gap of the electric storage amount predicted by the electric storage amount gap prediction means,
An electricity price management system characterized by that. In claim 1 or claim 2,
It further comprises other price acquisition means for acquiring the buying and selling price in another power supply system in the vicinity of the power supply system via a communication network,
The electric power purchase price setting means sets the electric power sale price in consideration of the other price acquired by the other price acquisition means,
An electricity price management system characterized by that. In any one of Claims 1 thru | or 3,
The power purchase price setting means is configured to set a power purchase price high when power demand is excessive, and to set a power purchase price low when power supply is excessive. In claim 2,
The electric power supply and demand prediction means predicts the electric power supply and demand in consideration of the dischargeable amount from the vehicle to the electric power supply system. In any one of Claims 1 thru | or 5,
The power price management system, wherein the power supply system is a microgrid including a power storage device, a power generation device, and a power consumption load. In claim 6,
Based on at least one of current power supply and demand information and past power supply and demand information in the microgrid, comprising power supply and demand prediction means for predicting power supply and demand in a predetermined time ahead,
The power supply / demand prediction means takes into account the amount of discharge that can be discharged to the microgrid for a predetermined time from at least one of the individual power storage devices possessed by the individual power consumers in the microgrid and the battery of the vehicle with the individual traveling battery. And predicting the power supply and demand for a predetermined time ahead of the entire microgrid,
An electricity price management system characterized by that.

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