WO2015008625A1

WO2015008625A1 - Power control system, power control method, and recording medium

Info

Publication number: WO2015008625A1
Application number: PCT/JP2014/067647
Authority: WO
Inventors: 龍橋本; 仁之矢野; 寿人佐久間; 耕治工藤; 貴裕戸泉; 永典實吉
Original assignee: 日本電気株式会社
Priority date: 2013-07-19
Filing date: 2014-07-02
Publication date: 2015-01-22

Abstract

A power control system controlling power supply to a load or a storage battery, having: a supply time information acquisition means that obtains the amount of power supplied to the load or the storage battery and the supply permission time at which the power is supplied to the load or the storage battery; and an execution means that determines, as the power supply time slot, at least one time slot among unit time slots that divide the supply permission time, and supplies a constant amount of power during each power supply time slot.

Description

Power control system, power control method, and recording medium

The present invention relates to a power control system, a power control method, and a program for controlling supply of power to a load or a storage battery.

In recent years, as environmental problems become more and more serious, renewable power sources such as solar cells and wind power generators, which are being rapidly introduced, are considered to be effective means for reducing carbon and solving energy resource problems.

However, the output of such a renewable power source varies greatly. For this reason, when a renewable power source having a large output fluctuation is connected to the power system, an adjustment means for canceling the output fluctuation is indispensable from the viewpoint of power quality.

As a means of adjustment, thermal power generators with a fast response speed are mainly used at present. For this reason, the more a renewable power source with a large output fluctuation is introduced into the electric power system, the more dilemma is that a thermal power generator as an adjustment means becomes necessary. Therefore, it is a big problem to secure adjusting means to replace the thermal power generator.

Therefore, the use of consumer equipment (for example, storage batteries) is being studied as an adjustment means.

Consumers such as ordinary households and buildings use equipment by paying transmission / distribution companies according to the usage of power. Therefore, research on “fee-based demand response” (referred to here as “DR”) that controls demand by changing the power price for consumers according to the tightness of power is underway. Yes.

Patent Document 1 describes a charge control system that sets a charging time zone of a storage battery according to a power price.

The charging control system described in Patent Document 1 sets a priority coefficient corresponding to the power price of each time slot for each time slot in an hour unit, and sets a plurality of time slots in descending order of the priority coefficient to charge the storage battery. Select as a belt. And the charge control system of patent document 1 increases the charge amount performed in the time slot | zone in the time slot | zone with a higher priority coefficient in the charge time slot | zone of a storage battery.

JP 2008-67418 A

When the number of storage batteries is large, when the storage battery is concentrated in a specific time zone (for example, the time zone with the lowest power price), the charging of each storage battery is more than the stabilization of the power system. Cause instability.

Since the charging control system described in Patent Literature 1 charges the storage battery not only in the time zone with the highest priority coefficient but also in other time zones, charging the storage battery causes the power system to become unstable. The possibility of becoming a factor can be reduced.

However, when charging the storage battery, the charge control system described in Patent Document 1 must change the amount of charge for each time zone, and the control of the power supplied to the storage battery that is the power supply target is complicated. There was a problem of becoming.

Note that the problem of complicated control of the power supplied to the power supply target does not only occur when the power supply target is a storage battery, but also occurs when the power supply target is not a storage battery.

An object of the present invention is to provide a power control system, a power control method, and a program that can solve the above-described problems.

The power control system of the present invention is
A power control system for controlling power supply to a load or a storage battery,
Supply time information obtaining means for obtaining the amount of power to be supplied to the load or the storage battery, and the supply allowable time for supplying power to the load or the storage battery,
Execution means for selecting at least one or more time zones of the unit time zones obtained by dividing the supply allowable time as power supply time zones and supplying a constant amount of power in each power supply time zone.

The power control method of the present invention includes:
A power control method performed by a power control system that controls supply of power to a load or a storage battery,
Obtaining an amount of electric power to be supplied to the load or the storage battery, and an allowable supply time to supply electric power to the load or the storage battery,
At least one time zone of the unit time zones into which the supply allowable time is divided is selected as a power supply time zone, and a constant amount of power is supplied in each power supply time zone.

The recording medium of the present invention is
On the computer,
A supply time information obtaining procedure for obtaining an amount of power to be supplied to a load or a storage battery and a supply allowable time for supplying power to the load or the storage battery;
The execution procedure for selecting at least one time zone of the unit time zones obtained by dividing the supply allowable time as a power supply time zone and supplying a constant amount of power in each power supply time zone is recorded. A computer-readable recording medium.

According to the present invention, it is possible to suppress the control of the power supplied to the load or the storage battery from being complicated while suppressing the concentration of the timing at which the power is supplied to the load or the storage battery.

1 is a diagram illustrating a management system 10 including a power control system according to an embodiment of the present invention. It is the figure which showed an example of the charge control system. It is the figure which showed an example of the price signal P (t). 2 is a diagram illustrating an example of a hardware configuration of a charging control system 101. FIG. 3 is a flowchart for explaining the operation of the charging control system 101. It is the figure which showed an example of control signal (PSI) (t) and probability density function (phi) (t). An example in which the connection time zone ts-te is divided at equal intervals by the time interval A is shown. It is the figure which showed the simulation result at the time of using this embodiment. It is the figure which showed the charge control system which consists of specific part 104bA and execution part 105A. It is the figure which showed an example of 4 A of signal transmitters.

Hereinafter, embodiments of the present invention will be described with reference to the drawings.

FIG. 1 is a diagram showing a management system 10 including a power control system according to an embodiment of the present invention.

In FIG. 1, management system 10 includes HEMS (Home Energy Management System) devices 1a to 1d installed in residential area 10-1, and BEMS (Building Energy Management System) devices installed in building parking lot 10-2. 2a, charging stations 3a to 3c installed in charging station area 10-3, and signal transmission device 4.

The HEMS devices 1a to 1d, the BEMS device 2a, and the charging stations 3a to 3c are connected to the substation 6 through the power distribution network 5, respectively. The power distribution network 5 and the substation 6 are included in the power system 7. The HEMS devices 1a to 1d, the BEMS device 2a, and the charging stands 3a to 3c communicate with the signal transmission device 4, respectively.

The HEMS devices 1a to 1c control charging / discharging of the storage batteries in the EVs 8a to 8c, respectively. For example, the HEMS devices 1a to 1c control power supply from the power system 7 to the EVs 8a to 8c, respectively. Note that EVs and storage batteries in EVs are examples of power supply targets. Hereinafter, “charging / discharging of the storage battery in the EV” is also referred to as “charging / discharging of the EV”.

The HEMS device 1d controls power supply from the power system 7 to a stationary energy storage (for example, a stationary storage battery or a heat pump) 9a. The stationary energy storage is an example of a power supply target.

The BEMS device 2a controls the charging / discharging of the EVs 8d to 8g and the power supply to the stationary energy storages 9b to 9c. For example, the BEMS device 2a controls the supply of power from the power system 7 to the EVs 8d to 8g and the stationary energy storages 9b to 9c.

The charging stations 3a to 3c control power supply from the power system 7 to the EVs 8h to 8i, respectively.

The signal transmission device 4 transmits a price signal (price signal) indicating a power price to the HEMS devices 1a to 1d, the BEMS device 2a, and the charging stands 3a to 3c.

A price signal is an example of recommendation level information, and is a time function representing a power price at each time. Note that the power price represented by the price signal is an example of a power supply recommendation level indicating a degree of recommending power supply. The power supply recommendation level becomes higher as the power price is lower.

The price signal represents, for example, the power price at each time for one day determined by a power supply source such as a power company. For example, the price signal represents a power price at each time of ** month **. The price signal is transmitted from the signal transmission device 4 on the day before the date (for example, the day of the month, the day of the month) when the power price is represented by the price signal.

Note that the period in which the price signal represents the power price is not limited to one day, and may be, for example, one week or one month, and can be changed as appropriate. The timing at which the price signal is transmitted may be any timing before the period in which the price signal represents the power price.

FIG. 2 is a diagram showing an example of the charging control system 101 mounted on each of the HEMS devices 1a to 1d, the BEMS device 2a, and the charging stands 3a to 3c. In FIG. 2, the same components as those shown in FIG. Below, in order to simplify description, the example in which the charge control system 101 was mounted in the HEMS apparatus 1a is demonstrated. Note that the charge control system of the present invention may be mounted on the HEMS device, the BEMS device, or the charging stand in FIG. 2, or may be mounted as a system for managing these as a microgrid. In that case, the charging control system is mounted on, for example, a control device connected to a HEMS device, a BEMS device, or a charging stand via a communication line.

2, the charging control system 101 is an example of a power control system.

The charging control system 101 determines a charging schedule for the storage battery 111 mounted on the EV 110, and controls charging of the storage battery 111 according to the charging schedule. The EV 110 corresponds to the EV 8a. The storage battery 111 is an example of a power supply target.

In addition, the charging schedule of the storage battery 111 represents a supply time zone in which power is supplied from the power system 7 to the storage battery 111 and a power value supplied from the power system 7 to the storage battery 111 at each time within the supply time zone.

The charging control system 101 includes an information acquisition unit 102, a storage unit 103, an EV data acquisition unit 104, and an execution unit 105. The EV data acquisition unit 104 includes a connection time information acquisition unit 104a and a necessary charge amount acquisition unit 104b. The connection time information acquisition unit 104a includes a connection detection unit 104a1 and a connection end time acquisition unit 104a2. The execution unit 105 includes a probability density function calculation unit 105a, a schedule calculation unit 105b, and a charge control unit 105c.

The information acquisition unit 102 is an example of a recommended information receiving unit.

The information acquisition unit 102 receives a price signal from the signal transmission device 4. For example, the information acquisition unit 102 receives the price signal by wired communication or wireless communication.

FIG. 3 is a diagram showing an example of the price signal P (t). In FIG. 3, the horizontal axis indicates time, and the vertical axis indicates power price.

Each time the information acquisition unit 102 receives the price signal P (t), the information acquisition unit 102 notifies the probability density function calculation unit 105a of the price signal P (t). Alternatively, the information acquisition unit 102 may notify the probability density function calculation unit 105a of the price signal P (t) every specific period instead of receiving the price signal P (t).

The storage unit 103 stores various information. For example, the storage unit 103 stores a charging schedule of the storage battery 111 determined by the charging control system 101.

The EV data acquisition unit 104 is an example of a supply time information acquisition unit.

The EV data acquisition unit 104 acquires information regarding the storage battery 111.

The connection time information acquisition unit 104a is an example of a target information receiving unit.

The connection time information obtaining unit 104a accepts target information for specifying an allowable time zone (allowable supply time) in which power supply to the storage battery 111 is allowed.

The connection detection unit 104a1 detects the time when the storage battery 111 is connected to the charge control system 101 (for example, the plug-in time of the storage battery 111). Hereinafter, the time when the storage battery 111 is connected to the charge control system 101 is referred to as “connection start time”.

For example, the connection detection unit 104a1 includes a clock unit (not shown), and a connection signal indicating connection (hereinafter referred to as “EV connection”) from the connection detection switch (not shown) to the charge control system 101 of the storage battery 111. Is received, the time is read from the clock unit, and the time is used as the connection start time.

The connection end time obtaining unit 104a2 obtains a scheduled time for terminating the EV connection (for example, a planned plug-out time for the storage battery 111). Hereinafter, the scheduled time for terminating the EV connection is referred to as “estimated connection termination time”.

For example, the connection end time acquisition unit 104a2 has an input device such as a touch panel or an operation button, and acquires the estimated connection end time input by the user of the EV 110 by operating the input device.

Note that the target information is composed of the connection signal and the estimated connection end time.

The required charge acquisition unit 104b is an example of a specifying unit.

The required charge acquisition unit 104b specifies the charge required for the storage battery 111 (hereinafter referred to as “required charge”). The required charge amount is an example of the amount of power supplied to the power supply target.

For example, the required charge amount obtaining unit 104b detects the SOC (State of geCharge) of the storage battery 111 at the time of EV connection, and calculates the required charge amount based on the difference between the SOC and the target SOC that is the target value for completion of charging. calculate. In addition, since the method for calculating the required charge amount using the SOC is a known technique, detailed description thereof is omitted. The SOC of the storage battery 111 at the time of EV connection is an example of predetermined information related to a power supply target.

The execution unit 105 is an example of an execution unit.

The execution unit 105 determines a charging schedule for the storage battery 111 based on the price signal P (t), the connection start time, the scheduled connection end time, and the required charge amount.

The probability density function calculation unit 105a generates a probability density function used for determining a charging schedule based on the price signal P (t).

The probability density function calculation unit 105a sequentially receives the price signal P (t) from the information acquisition unit 102. The probability density function calculation unit 105a holds the latest price signal P (t) among the sequentially received price signals P (t). The probability density function calculation unit 105a generates a probability density function based on the latest price signal P (t).

The schedule calculation unit 105b determines a charging schedule for the storage battery 111 based on the probability density function, the connection start time, the connection end scheduled time, and the required charge amount.

The charging control unit 105c supplies power from the power system 7 to the storage battery 111 according to the charging schedule calculated by the schedule calculating unit 105b.

In the present embodiment, the charging control unit 105c supplies power from the power system 7 to the storage battery 111 with power of a predetermined value (for example, maximum value) within the rated power of the storage battery 111. The predetermined value is not limited to the maximum value within the rated power of the storage battery 111, and can be appropriately changed as long as it is a value within the rated power of the storage battery 111. Hereinafter, the predetermined value is referred to as “output power value”. In the present embodiment, the output power value is also set in the probability density function calculation unit 105a and the schedule calculation unit 105b.

FIG. 4 is a diagram illustrating an example of a hardware configuration of the charging control system 101. In FIG. 4, the same components as those shown in FIG.

The charge control device 201 is an example of a control system and has the same function as the charge control system 101. The charging control device 201 includes a communication control unit 202, a main storage unit 203A, a data storage unit 203B, memory control interface units 203A-1 and 203B-1, an input unit 204, and an I / O (Input / Output). It includes an interface unit 204-1, a calculation unit 205, and a switch control unit 206.

The communication control unit 202 has the same function as the information acquisition unit 102.

The main storage unit 203A is a storage unit mainly used by the calculation unit 205. When a computer such as a CPU (Central Processing Unit) is used as the computing unit 205, the main storage unit 203A stores a program for defining the operation of the computing unit 205. The memory control interface 203A-1 is an interface for the main storage unit 203A.

The data storage unit 203B has the same function as the storage unit 103. The memory control interface 203B-1 is an interface for the data storage unit 203B.

The input unit 204 has the same function as the EV data acquisition unit 104. The I / O interface unit 204-1 is an interface for the input unit 204.

The calculation unit 205 has the function of the probability density function calculation unit 105a and the function of the schedule calculation unit 105b. When a computer such as a CPU is used as the calculation unit 205, the calculation unit 205 reads and executes a program stored in the main storage unit 203A, so that the function of the probability density function calculation unit 105a and the schedule calculation unit are included. The function which 105b has is implement | achieved.

The switch control unit 206 has the same function as the charge control unit 105c. For example, a relay switch is used as the switch control unit 206. The switch control unit 206 is not limited to a relay switch and can be changed as appropriate.

Next, the operation will be described.

Hereinafter, it is assumed that the latest price signal P (t) is held in the probability density function calculation unit 105a.

FIG. 5 is a flowchart for explaining the operation of the charging control system 101.

A user (for example, an owner) of the EV 110 connects the EV 110 to the charging control system 101 to charge the EV 110 (storage battery 111), operates the connection end time acquisition unit 104a2, and starts using the EV 110 next time. Enter the scheduled time, that is, the scheduled connection end time. The connection end scheduled time is input, for example, every time a user of the EV 110 connects the EV 110 to the charge control system 101.

When the EV 110 is connected to the charge control system 101, the connection detection unit 104a1 detects the connection (EV connection) between the charge control system 101 and the EV 110 (step S501), and the necessary charge amount acquisition unit 104b specifies the necessary charge amount. (Step S502). Further, the connection end time acquisition unit 104a2 holds the input connection end scheduled time (step S503).

When detecting the EV connection, the connection detection unit 104a1 specifies the connection start time and notifies the probability density function calculation unit 105a of the connection start time.

When the probability density function calculation unit 105a receives the connection start time, the probability density function calculation unit 105a notifies the connection end time acquisition unit 104a2 and the necessary charge amount acquisition unit 104b of an acquisition request to obtain the connection end scheduled time and the necessary charge amount. The acquisition operation is executed (step S504).

When the connection end time acquisition unit 104a2 receives the acquisition request, the connection end time acquisition unit 104a2 notifies the probability density function calculation unit 105a of the scheduled connection end time. In addition, when the required charge amount obtaining unit 104b receives an acquisition request, the required charge amount obtaining unit 104b notifies the probability density function calculating unit 105a of the necessary charge amount.

However, for example, if a communication error occurs in the connection end time obtaining unit 104a2 or the necessary charge amount obtaining unit 104b, the probability density function calculating unit 105a cannot obtain the connection end scheduled time and the necessary charge amount.

Therefore, after notifying the acquisition request, the probability density function calculating unit 105a determines whether the connection end scheduled time and the necessary charge amount have been acquired (step S505). For example, in step S505, the probability density function calculation unit 105a determines whether the scheduled connection end time and the required charge amount have been obtained within a predetermined time after the acquisition request is notified. The predetermined time can be set as appropriate.

The probability density function calculating unit 105a calculates the required charging time by dividing the required charging amount by the output power value (the power value supplied to the storage battery 111) when the connection end scheduled time and the required charging amount can be obtained. (Step S506). The required charging time is the shortest time required for the charge control unit 105c to charge the storage battery 111 with the required charge amount.

Subsequently, the probability density function calculation unit 105a calculates the scheduled connection time by subtracting the connection start time from the estimated connection end time (step S507). Note that the scheduled connection time is a scheduled time when the EV 110 is continuously connected to the charge control system 101.

Subsequently, the probability density function calculation unit 105a determines whether the estimated connection time is longer than the required charging time (step S508).

If the estimated connection time is equal to or longer than the required charge time, charging of the required charge amount can be completed by the estimated connection end time, so the probability density function calculating unit 105a generates a probability density function used to determine the charge schedule. (Step S509).

Here, an example of step S509 will be described.

The probability density function calculation unit 105a first generates a control signal Ψ (t) obtained by inverting the waveform of the latest price signal P (t).

For example, the probability density function calculation unit 105a specifies the maximum value and the minimum value of the latest price signal P (t), and subtracts the latest price signal P (t) from the maximum value of the latest price signal P (t). Then, the control signal Ψ (t) is generated by adding the minimum value of the latest price signal P (t) to the subtraction result. The method for generating the control signal Ψ (t) using the latest price signal P (t) can be changed as appropriate.

Note that the value of the control signal Ψ (t) also represents the power supply recommendation degree, and the power supply recommendation degree increases as the value of the control signal Ψ (t) increases.

Subsequently, the probability density function calculating unit 105a multiplies the control signal Ψ (t) by extracting the period portion from the connection start time to the connection end scheduled time by the normalization constant N to obtain the probability density function φ. Generate (t).

The probability density function φ (t) can be expressed as the following equation (1).

φ (t) = N · Ψ (t) (1) In the equation (1), the time t is assumed to be connection start time ≦ t ≦ connection end scheduled time. The time zone from the connection start time to the scheduled connection end time (hereinafter referred to as “connection time zone”) is an example of an allowable time zone in which power supply to the storage battery 111 is allowed.

Also, the normalization constant N is

It is.

The above is an example of step S509.

Subsequently, the probability density function calculating unit 105a notifies the schedule calculating unit 105b of the probability density function φ (t), the connection start time, the scheduled connection end time, and the required charge amount.

When the schedule calculation unit 105b receives the probability density function φ (t), the connection start time, the connection end scheduled time, and the required charge amount, the time period for supplying power from the power system 7 to the storage battery 111 (hereinafter, referred to as the time period) (Referred to as “supply time zone”) (step S510).

In addition, since the electric power value (output electric power value) supplied to the storage battery 111 is determined in advance, determining the supply time zone means determining the charging schedule of the storage battery 111.

Here, an example of step S510 will be described.

FIG. 6 is a diagram showing an example of the control signal Ψ (t) and the probability density function φ (t).

In FIG. 6, time ts indicates a connection start time, time te indicates a connection end scheduled time, time zone ts-te indicates a connection time zone, a period before time ts and a period after time te. Indicates a non-connection time zone. The probability density function φ (t) is defined within the connection time zone ts-te.

When the schedule calculation unit 105b receives the probability density function φ (t), the connection start time, the connection end scheduled time, and the required charge amount, first, the schedule calculation unit 105b divides the connection time zone ts-te into equal intervals.

For example, the schedule calculation unit 105b holds in advance a related table in which the length of the connection time zone and the number of divisions of the connection time zone are associated with each other, and refers to the related table to determine the connection time zone ts-te as the connection time zone. By dividing equally by the number of divisions associated with the band ts-te, the connection time band ts-te is divided at equal intervals.

FIG. 7 shows an example in which the connection time zone ts-te is divided at equal intervals by the time interval A.

Subsequently, the schedule calculation unit 105b calculates the number of charge allocations by dividing the required charge amount by the integrated value of the output voltage value and the time interval A.

In addition, the calculation method for calculating the number of times of charge allocation can be expressed as in equation (2).

Number of times of charge allocation = (required charge amount) / (output power value × time interval A) (2) Formula Next, the schedule calculation unit 105b uses the probability density function φ (t) to calculate the connection time zone ts−te. A power supply operation (hereinafter, simply referred to as “power supply operation”) for supplying power of the output power value from the power system 7 to the storage battery 111 continuously for the time interval A is allocated for the number of times of charge allocation.

For example, the schedule calculation unit 105b sets each element corresponding to each section (unit time period) of the time interval A within the connection time period ts-te, and calculates the probability distribution of each element as a probability density function. As a probability distribution according to φ (t), one of a plurality of elements is randomly generated for the number of times of charge allocation. Then, the schedule calculation unit 105b determines a section corresponding to the randomly generated element as a supply time zone (power supply time zone) for executing the power supply operation.

Note that the time of each section is the time interval A, and this time is an example of a predetermined time. For this reason, the schedule calculation unit 105b sets a time equal to or less than half the time of the connection time zone ts-te as the predetermined time.

It should be noted that a variety of methods can be used as a method of randomly generating any one of a plurality of elements by using the probability distribution of each element as a probability distribution according to the probability density function φ (t). For example, a generally known inverse function method or Monte Carlo method is used.

In FIG. 7, sections B1, B2, B3, and B4 are determined as supply time zones.

When the supply time zone is determined, that is, the charging schedule is determined, the schedule calculation unit 105b holds the determined charging schedule in the storage unit 103 and notifies the charging control unit 105c.

When the charging control unit 105c receives the determined charging schedule, the charging control unit 105c executes the charging of the storage battery 111 according to the determined charging schedule (step S511).

In the present embodiment, in step S511, the charging control unit 106 starts power supply at the output power value from the power system 7 to the storage battery 111 at the start time of each section represented in the determined charging schedule. .

The start time of each section shown in the determined charging schedule is a time that is included in the connection time zone ts-te and is more than the time of the time interval A from the last time of the connection time zone ts-te zone. Thus, it is an example of each of a plurality of specific times separated from each other by a time interval A or more, and an example of a time corresponding to each of the plurality of elements.

On the other hand, in step S505, the probability density function calculation unit 105a instructs the charge control unit 105c to charge if the estimated connection end time and the required charge amount cannot be obtained within a predetermined time after the acquisition request is notified. Notify the charging instruction to do so.

In step S508, also when the estimated connection time is not equal to or longer than the required charging time, the probability density function calculation unit 105a notifies the charging control unit 105c of a charging instruction.

When the charging control unit 105c receives the charging instruction, the charging control unit 105c supplies power from the power system 7 to the storage battery 111 with the output power value (step S512).

FIG. 8 is a diagram showing a simulation result when the above-described method is used. The simulation result shown in FIG. 8 is a simulation result of load fluctuation in three days of (holiday)-(weekdays)-(weekdays) when the charging control system 101 is installed at the connection destination of 1,000 EVs. Indicates. Here, the electric power price is 50 yen / kwh only between 10:00 and 12:00 based on 150 yen / kwh, and this electric power price is presented every day at 0:00.

In Fig. 8, the solid line is the electricity price, and the filled curve is the load curve for 1,000 EVs.

In Fig. 8, charging is performed over the entire area from 10:00 to 12:00 when the power price is low, and the load curve is 350 to 420 kW even at large locations.

Next, the effect of this embodiment will be described.

According to the present embodiment, the execution unit 105 selects at least one time zone of each section of the time interval A within the connection time zone ts-te as the power supply time zone, and is constant in each power supply time zone. The amount of electric power is supplied to the storage battery 111.

For this reason, the value of power supplied to the storage battery 111 is constant, and it is not necessary to perform complicated power control of changing the power value when charging the storage battery 111.

In addition, since at least one or more time zones of each section of the time interval A within the connection time zone ts-te are selected as the power supply time zone, the charging time zones of the storage battery 111 can be dispersed. Therefore, for example, even when each of the plurality of charging control systems 101 individually controls the charging schedule of the storage battery 111, it is possible to suppress the timing at which power is supplied from the power system 7 to the plurality of storage batteries 111. . For this reason, for example, when charging a large number of EVs, it is possible to prevent the load curve created by charging from fluctuating greatly.

Note that the above effect is that at least one or more times in the unit time zone obtained by dividing the supply allowable time and the EV data acquisition unit 104X that acquires the amount of power supplied to the storage battery and the supply allowable time for supplying power to the storage battery. A band is selected as a power supply time zone, and a charging control system including an execution unit 105X that supplies a constant amount of power in each power supply time zone is also effective.

FIG. 9 is a diagram illustrating a charge control system including an EV data acquisition unit 104X and an execution unit 105X.

Further, in the present embodiment, the execution unit 105 randomly generates one of a plurality of elements associated with each of the plurality of unit time zones, and converts the unit time zone corresponding to the randomly generated elements to the power Select as supply time zone.

For this reason, it becomes possible to randomly determine the execution timing of the power supply operation. Therefore, for example, even if each of the plurality of charging control systems 101 individually determines the charging schedule of the storage battery 111, it is possible to suppress the concentration of charging timing. In addition, since the timing at which power is supplied is randomly determined, for example, it is possible to suppress inequality related to the charging timing for each EV owner.

Further, in the present embodiment, the execution unit 105 selects a power supply time zone by the number obtained by dividing the amount of power supplied to the storage battery by the power output value in the unit time zone. For this reason, it becomes possible to supply the electrode which a storage battery requires to a storage battery.

In this embodiment, the information acquisition unit 102 accepts a price signal that is an example of recommendation level information for specifying the power supply recommendation level for each time. The execution part 105 determines an electric power supply time slot | zone using a price signal.

For this reason, the power supply operation can be performed more easily at a time when the power supply recommendation level is higher, and the timing for supplying power to the storage battery 111 can be determined according to the power supply recommendation level. Therefore, by adjusting the power supply recommendation degree at each time, it is possible to arbitrarily control the load curve created by the power supply.

In this embodiment, the power supply recommendation level increases as the power price becomes cheaper. For this reason, the probability of charging the storage battery 111 at a time when the power price is low can be increased.

Moreover, in this embodiment, since each charging control system 101 controls the charging timing to the storage battery 111 individually, the charge manager who directly controls each charging control system 101 can be made unnecessary. Moreover, the signal transmission apparatus 4 does not need to change a price signal for every charge control system 101, and should just use the same price signal for each charge control system 101. Note that the signal transmission device 4 may transmit the price signal via a network or may distribute the price signal by radio waves or the like.

(Second Embodiment)
When the execution timing of the power supply operation is determined based on the probability density function created from the price signal as in the first embodiment, the load curve created by EV charging is not only the price signal but also each charging control system 101. Depends on the number of EVs connected to and the required amount of EV charge.

For example, even if the probability of executing the power supply operation at a certain time is determined, the possibility that the number of executions of the power supply operation increases as the number of EVs connected to each charge control system 101 increases. Further, even if the probability of executing the power supply operation at a certain time is determined, the number of executions of the power supply operation increases as the required charge amount of the EV increases.

In the simulation result shown in FIG. 8, a low price signal is given every day from 10:00 to 12:00, and the load curve on weekdays such as the second and third days is almost constant. ing.

However, on holidays such as the first day, a lot of charging is done between 10:00 and 12:00 when the electricity price is cheap, but the load curve shape is between 10:00 and 12:00. Shows an increasing trend. In other words, fluctuations in the electricity price do not directly correspond to the load curve.

For this reason, in order to create an arbitrary load curve by EV charging, it is necessary to consider the number of EVs connected to the charging control system and the required charging amount of EVs.

Hereinafter, an example in which the number of connected EVs at each time is statistically estimated and the load curve achieved by EV charging is arbitrarily controlled using the estimation result will be described.

The charge control system used in the second embodiment has the same configuration as the charge control system 101 of the first embodiment, but instead of the signal transmission device 4 shown in FIG. 1, the signal transmission device 4A shown in FIG. Is used. The signal transmission device 4A includes a generation unit 4A1 and a communication unit 4A2. EV is an example of an electric device.

The generation unit 4A1 is an example of a generation unit.

The generation unit 4A1 statistically estimates the number of EVs connected to each charging control system 101 at each time (the number of connected EVs).

For example, the generation unit 4A1 collects history data regarding connected EVs from smart meters, charging stations, etc. in HEMS and BEMS, and uses the history data to obtain the transition of the number of connected EVs at each time of day. . Then, the generation unit 4A1 generates a connected EV number function x (t) representing the number of connected EVs for each time as a function representing the transition. The connected EV number function x (t) represents a value obtained by statistically estimating the number of connected EVs for each time.

Also, the generation unit 4A1 creates a target EV load curve y (t) corresponding to the predicted power generation amount of solar power generation, the predicted amount of loads other than EV, and the power price. The target EV load curve y (t) represents the target EV load magnitude for each time. The generation unit 4A1 may receive the target EV load curve y (t) from another device (for example, a communication device on the electric power company side). The value of the target EV load curve y (t) represents the power supply recommendation level at each time t, and the power supply recommendation level increases as the value of the target EV load curve y (t) increases.

Then, the generation unit 4A1 generates the control signal z (t) using the connected EV number function x (t) and the target EV load curve y (t).

For example, the generation unit 4A1 generates the control signal z (t) as shown in Equation (3).

Control signal z (t) = (Target EV load curve y (t)) / (Connected EV number function x (t)) Equation (3) The control signal z (t) is an example of recommendation degree information. The value of z (t) represents the recommended power supply at each time t, and the recommended power supply increases as the value of the control signal z (t) increases.

The communication unit 4A2 is an example of communication means.

The communication unit 4A2 transmits the control signal z (t) generated by the generation unit 4A1 to the charging control system 101 instead of the price signal. Note that the probability density function calculation unit 105a in the charge control system 101 uses the control signal z (t) as it is as the control signal Ψ (t).

Therefore, when the control signal z (t) is used, the probability density function φ (t) varies according to the number of connected EVs at each time. Therefore, the execution unit 105 can adjust the execution timing of the power supply operation according to the number of connected EVs.

In addition, when adjusting the execution timing of the power supply operation according to the required charge amount of the EV, the generation unit 4A1 collects historical data regarding the connected EV from a smart meter or a charging stand in the HEMS or BEMS. The history data is used to obtain the transition of the total required charge amount at each time of day. Then, the generation unit 4A1 generates a necessary charge amount function α (t) that represents the sum of necessary charge amounts for each time as a function that represents the transition. The required charge amount function α (t) represents a value obtained by statistically estimating the total required charge amount at each time.

Then, the generation unit 4A1 generates the control signal β (t) using the necessary charge amount function α (t) and the target EV load curve y (t).

For example, the generation unit 4A1 generates the control signal β (t) as shown in the equation (4).

Control signal β (t) = (target EV load curve y (t)) / (necessary charge amount function α (t)) Equation (4) The control signal β (t) is an example of recommendation degree information. The value of β (t) represents the power supply recommendation level at each time t, and the power supply recommendation level increases as the value of the control signal β (t) increases.

The communication unit 4A2 transmits the control signal β (t) generated by the generation unit 4A1 to the charging control system 101. Note that the probability density function calculation unit 105a in the charge control system 101 uses the control signal β (t) as it is as the control signal Ψ (t).

For this reason, when the control signal β (t) is used, the probability density function φ (t) varies depending on the total required charge amount for each time. Therefore, the execution unit 105 can adjust the execution timing of the power supply operation according to the total required charge amount.

In the present embodiment, the EV is used as an example of the electric device. However, the electric device is not limited to the EV and can be appropriately changed.

In each of the above embodiments, a storage battery is used as a power supply target. For this reason, it becomes possible to suppress that the charging timing of the large capacity stationary storage battery or the large capacity storage battery in the EV is concentrated, for example.

In addition, when a stationary storage battery is used as a power supply target, for example, a time period in which the stationary storage battery is not discharged to supply power to other devices is used.

Also, as a power supply target, a power load (load) such as a home appliance may be used. In addition, it is desirable that a device (for example, a rice cooker) that cannot function as a home appliance due to interruption of power supply is not used as a power supply target. In that case, the user may select a home electric appliance managed by the charge control system, or a desired charge pattern may be registered and a charge schedule may be created so as to match it.

The connection end time acquisition unit 104a2 receives the connection end scheduled time from the user every time the EV 110 is connected to the charging control system 101. However, when the use of the EV 110 starts at the same time every day, The use start time may be set in advance in the connection end time acquisition unit 104a2, and the connection end time acquisition unit 104a2 may hold the set use start time as the connection end scheduled time.

When the connection detection unit 104a1 also has a function of detecting the end of the connection between the EV 110 and the charging control system 101, the probability density function calculation unit 105a uses the detection result of the connection detection unit 104a1 to output the EV 110. May be stored in the storage unit 103 for each day of the week, and the estimated connection end time may be predicted for each day of the week using the history.

In the first embodiment, the signal transmission device 4 may transmit the target EV load curve y (t) instead of the price signal. In this case, the target EV load curve y (t) is an example of recommendation level information.

Further, the charging control system 101 and the signal transmission devices 4 and 4A may be realized by a computer. In this case, the computer reads and executes a program recorded on a recording medium such as a CD-ROM (Compact Disk Read Only Memory) that can be read by the computer, and performs each function of the charge control system and the signal transmission device. Execute. The recording medium is not limited to the CD-ROM and can be changed as appropriate.

Further, this program may be distributed to a computer via a communication line, and the computer that has received this distribution may execute this program. This program may be for realizing a part of the functions described above. Further, this program may be a so-called difference file (difference program) that can realize the above-described functions in combination with a program already recorded in the computer.

In each of the embodiments described above, the illustrated configuration is merely an example, and the present invention is not limited to the configuration.

Although the present invention has been described with reference to the embodiments, the present invention is not limited to the above-described embodiments. Various changes that can be understood by those skilled in the art can be made to the configuration and details of the present invention within the scope of the present invention. This application claims the priority on the basis of Japanese application Japanese Patent Application No. 2013-150785 for which it applied on July 19, 2013, and takes in those the indications of all here.

1a to 1d HEMS device 2a BEMS device 3a to 3c Charging stand 3a to 3c
4, 4A signal transmission device 4A1 generator 4A2 communication unit 5 power distribution network 6 substation 7 power system 8a-8j EV
9a to 9c Stationary energy storage 10 Management system 101 Charge control system 102 Information acquisition unit 103

Storage unit

104, 104X EV data acquisition unit 104a Connection time information acquisition unit 104a1 Connection detection unit 104a2 Connection end time acquisition unit 104b Required charge amount acquisition unit 105, 105A Execution unit 105a Probability density function calculation unit 105b Schedule calculation unit 105c Charge control unit 110 EV
DESCRIPTION OF SYMBOLS 111 Storage battery 201 Charge control apparatus 202 Communication control part 203A Main memory part 203A-1, 203B-1 Memory control interface part 204 Input part 204-1 I / O interface part 205 Operation part 206 Switch control part

Claims

A power control system for controlling power supply to a load or a storage battery,
Supply time information obtaining means for obtaining the amount of power to be supplied to the load or the storage battery, and the supply allowable time for supplying power to the load or the storage battery,
A power control system comprising: execution means for selecting at least one or more time zones of the unit time zones obtained by dividing the supply allowable time as power supply time zones and supplying a constant amount of power in each power supply time zone.
The execution means randomly generates any one of a plurality of elements associated with each of the plurality of unit time zones, and sets the unit time zone corresponding to the randomly generated elements to the power supply time zone. The power control system according to claim 1, which is selected as follows.
3. The power control according to claim 1, wherein the execution unit selects the power supply time zone by dividing the amount of power supplied to the load or the storage battery by the output value of power in the unit time zone. system.
A recommended information receiving means for receiving recommended information for specifying a power supply recommendation level indicating a degree of recommending the supply of power for each time;
4. The power control system according to claim 1, wherein the execution unit further determines the power supply time period using the recommended information. 5.
The power supply recommendation level increases at a time when the power price is low, or increases at a time when the estimated value of the number of electric devices connected to the power system is small, or a storage battery connected to the power system is required. The power control system according to claim 4, wherein the charge amount to be increased is higher at a smaller time.
The power storage system according to any one of claims 1 to 5, wherein the storage battery is a storage battery mounted on a moving body.
Generating means for generating the recommended information;
The power control system according to claim 1, further comprising a communication unit that transmits the recommended information to the recommended information receiving unit.
A power control method performed by a power control system that controls supply of power to a load or a storage battery,
Obtaining an amount of electric power to be supplied to the load or the storage battery, and an allowable supply time to supply electric power to the load or the storage battery,
A power control method, wherein at least one or more time zones of the unit time zones obtained by dividing the supply allowable time are selected as power supply time zones, and a constant amount of power is supplied in each power supply time zone.
On the computer,
A supply time information obtaining procedure for obtaining an amount of power to be supplied to a load or a storage battery and a supply allowable time for supplying power to the load or the storage battery;
A program for selecting at least one or more of the unit time zones obtained by dividing the allowable supply time as a power supply time zone, and executing an execution procedure for supplying a constant amount of power in each power supply time zone. A recorded computer-readable recording medium.