JP2022050126A - Distributed energy resource management device, distributed energy resource management method, and distributed energy resource management program - Google Patents

Abstract

To utilize an EV storage battery as DER according to the operating state of an EV without an information input operation for utilizing the EV as the DER from the EV.SOLUTION: A distributed energy resource management device comprises: a prediction unit that predicts the amount of power demanded per unit time by a user who has a storage battery of a vehicle as distributed energy resources and the amount of power supplied per unit time to the user; an input unit that receives input of use information including information on the use time zone of the vehicle; and a plan creation unit that creates a charge-discharge plan for the storage battery based on the amount of power demanded, the amount of power supplied, and the use information.SELECTED DRAWING: Figure 10

Description

Embodiments of the present invention relate to a distributed energy resource management device, a distributed energy resource management method, and a distributed energy resource management program.

In recent years, distributed energy resources (DER: Distributed Energy Resources) owned by consumers such as factories and homes (electric power consumers; the same applies hereinafter) have been aggregated by advanced energy management technology utilizing IoT (Internet of Things). The development of technology for a virtual power plant (VPP) that functions as if it were a single power plant by remote and integrated control is underway.

Then, attention is increasing to VPP and DR (Demand Response), which is a technology for controlling electric power on the consumer side in order to balance the demand (consumption) and supply (power generation) of electricity. It is expected that VPP and DR will provide services such as load leveling, absorption of excess power supply of renewable energy, and supply in the event of power shortage.

In addition, from the viewpoint of preventing global warming, renewable energy generators such as solar power generators that do not emit CO ₂ , storage batteries for effectively utilizing the power generated by renewable energy generators, and electric vehicles (EVs). : Electric Vehicle) is being introduced more and more, and it is expected that these will be utilized as DER.

Here, focusing on the EV as a DER, unlike a stationary storage battery, there is a feature that the EV cannot be used as a DER while the EV is being used as a means of transportation, and it is required to be used according to the operation status of the EV.

As a technique for that purpose, for example, when an EV user indicates an intention not to operate the EV for a predetermined period by inputting a predetermined operation from a house or a vehicle, the electric power charged in the EV storage battery is supplied to the power system. Power management systems are known.

International Publication No. 2017/170741

However, in the above-mentioned conventional technique, an information input device for utilizing the EV as a DER is required on the EV side (user's house or vehicle), and there is room for improvement in terms of convenience.

Therefore, the subject of the present invention is a distributed energy resource management device capable of utilizing an EV storage battery as a DER according to the operating status of the EV without an information input operation for utilizing the EV as a DER from the EV side. , A distributed energy resource management method, and a distributed energy resource management program.

The distributed energy resource management device of the embodiment includes a prediction unit that predicts the amount of power demand and the amount of power supplied for each time unit of a consumer having a storage battery of a vehicle as a distributed energy resource, and a usage time zone of the vehicle. It includes an input unit for inputting usage information including information, and a planning unit for creating a charge / discharge plan for the storage battery based on the demand power amount, the supply power amount, and the usage information.

It is a figure which shows the outline of the electric power supply and demand system which concerns on embodiment. It is a figure which shows an example of the function which the DER management apparatus which concerns on embodiment has. It is a figure which shows an example of the electric power purchase information of the consumer which concerns on embodiment. It is a figure which shows an example of the information about the EV storage battery and the V2X apparatus of the consumer which concerns on embodiment. It is a figure which shows an example of the use information of each EV which concerns on embodiment. It is a figure which shows an example of the use information of each EV which concerns on embodiment. It is a figure which shows an example of the past record of the received power amount of the consumer which concerns on embodiment. It is a figure which shows an example of the past record of the PV power generation amount of the consumer which concerns on embodiment. It is a flowchart which shows an example of the flow of the process by the DER management apparatus which concerns on embodiment. It is a figure explaining the energy balance of the consumer which concerns on embodiment. It is a graph which shows an example of the charge / discharge plan of EV which concerns on embodiment.

Hereinafter, embodiments of a distributed energy resource management device, a distributed energy resource management method, and a distributed energy resource management program according to the present invention will be described with reference to the drawings. In the following, there are two types of time, one is to indicate the moment of time and the other is to indicate the time width (for example, 30 minutes) of a predetermined time unit (for example, 30 minutes unit).

(Constitution)
FIG. 1 is a diagram showing an outline of the power supply and demand system S according to the embodiment. The system operator 9 in FIG. 1 is an electric power company, a power transmission and distribution business operator, or the like, and supplies electric power to a plurality of consumers 3 and 8 by operating the electric power system 10 and controlling the generator 11. do.

The consumer 3 and the consumer 8 are the main bodies that receive the electric power and use the electric power. In the present embodiment, the consumer 3 is a consumer included in the management range of the DR aggregator 2, and is, for example, a building in which an office or a commercial facility is located. The consumer 8 is a factory, a building, a house, or the like. Further, the business operator who operates the building or the like may be the consumer 3. Hereinafter, among the consumers 3 and 8, the consumer 3 will be mainly described as an example, but the same applies to the consumer 8.

The consumer 3 has all or a part of the EV4, the V2X device 5 (charging / discharging equipment) to which the EV4 charges / discharges, the photovoltaic power generation device 6 (PV: Photovoltaics), and the storage battery 7. The EV 4 is charged and discharged by connecting to the V2X device 5, and is used to supply electric power in an emergency such as peak cut, demand response, and power failure, like the storage battery 7. The V2X device 5 is, for example, a device that charges and discharges the storage battery of the EV 4 in the same manner as the power conditioner of the storage battery 7.

The DR aggregator 2 controls the V2X device 5 and the storage battery 7 of the consumer 3 based on the power load prediction of the consumer 3 and the power generation prediction of the photovoltaic power generation device 6, thereby supplying the power received by the consumer 3. By reducing the peak and shifting the time of power consumption, the electricity charge of the consumer 3 is reduced and the load leveling of the power system 10 is contributed.

Further, the DR aggregator 2 is a business operator that reduces the amount of power received by the consumer 3 and performs DR based on the request for reduction of the amount of power received from the grid operator 9 (DR request), and the grid operator 9 DR is realized by controlling the V2X device 5 and the storage battery 7 of the consumer 3 based on the reduction request from.

Further, the DR aggregator 2 creates a charging or discharging schedule (charging / discharging plan) of the EV storage battery (EV4 storage battery) by the DER management device 12 (distributed energy resource management device), and prepares the EV storage battery according to the charge / discharge plan. Control charging and discharging. The DER management device 12 is a PC (Personal Computer) or the like, and includes a CPU (Central Processing Unit), a memory, an HDD (Hard Disk Drive), a communication interface (I / F), a display device such as a display, and the like. It has a hardware configuration that uses a normal computer equipped with an input device such as a keyboard and mouse.

FIG. 2 is a diagram showing an example of a function of the DER management device 12 according to the present embodiment. As shown in FIG. 2, the DER management device 12 includes an input unit 13, a storage unit 14, an acquisition unit 15, a display control unit 16, a calculation unit 17, and a control unit 18. The calculation unit 17 includes a prediction unit 19 and a plan creation unit 20.

The input unit 13 inputs usage information including information on the usage time zone of EV4. More specifically, the input unit 13 receives data input via an input device (not shown), and includes information on the purchase of power by the consumer 3, information on the storage battery of the EV4, usage information, information on the V2X device 5, and the like. Is input and saved in the storage unit 14. Each piece of information is used, for example, as a parameter in an optimization model described later (details will be described later).

The storage unit 14 includes information input from the input unit 13, data acquired by the acquisition unit 15, assumed load in an emergency, calculation conditions for data processing by the prediction unit 19, and the planning unit 20, and a prediction unit. 19 and the calculation result of the plan creation unit 20 are stored. The storage unit 14 is, for example, an HDD or a memory.

FIG. 3 is an example of information regarding the purchase of electric power by the consumer 3 according to the present embodiment. More specifically, the information regarding the purchase of electric power is data in which the customer name, the contracted electric power of the consumer 3, and the peak cut electric power of the consumer 3 are associated with each other. The peak cut power is a value contracted by the consumer 3 with the electric power company or the DR aggregator 2 as the target value of the maximum value of the received power. When the peak cut power is converted into the electric energy every 30 minutes, the peak cut target value (target electric energy) is obtained. When the consumer 3 can keep the received power below the peak cut power for a certain period of time or more, the contract power can be reduced and the basic charge can be lowered.

FIG. 4 is an example of information regarding the storage battery of EV4 and the V2X device 5 of the consumer 3 according to the present embodiment. The information about the storage battery of the EV4 is associated with the EV name that can identify the EV4, the name of the customer who has the EV4, the storage battery capacity of the EV4, the upper limit (charge upper limit) and the lower limit (discharge lower limit) of the storage amount. It is data.

The information about the V2X device 5 includes the EV name corresponding to the V2X device 5, the name of the customer having the V2X device 5, the output power and efficiency during charging of the V2X device 5, and the output power and efficiency during discharging. Is the associated data. In the present embodiment, when there are a plurality of EV4 and V2X apparatus 5 in one consumer 3, it is assumed that the EV4 and the V2X apparatus 5 have a one-to-one correspondence.

Further, FIGS. 5A and 5B are examples of usage information of EV4 of the consumer 3 according to the present embodiment. The usage information includes at least one of the usage start time and usage end time of EV4, the charging target value of the EV storage battery at the usage start time, and the remaining amount estimated value of the EV storage battery at the usage end time. Specifically, it is as follows.

The EV4 usage information shown in FIG. 5A is an EV name, a date, an EV4 usage start time on each date, and a usage end time. Further, the usage information of the EV 4 shown in FIG. 5B is an EV name, a target value of the charge amount at the start of use of the EV, and an assumed value (estimated remaining amount) of the charge amount at the end of use. The usage information of EV4 may be newly created, or the original information such as the schedule of EV4 may be diverted.

Returning to FIG. 2, the acquisition unit 15 acquires the measured value of the received power amount of the consumer 3 from the watt-hour meter 21 installed in the consumer 3. FIG. 6 is an example of the actual amount of power received in the past by the consumer 3 according to the present embodiment. The actual power received data is data related to the actual power received by the consumer 3 for each time in 30-minute units (“0:00” indicates 30 minutes from that time). The acquisition unit 15 acquires data on the amount of power received for each time unit at 30-minute intervals for each of the date, time, and consumer 3 from the watt-hour meter 21, and associates these data with the amount of power received. It is stored in the storage unit 14 as the actual data of.

Returning to FIG. 2, the acquisition unit 15 acquires the data of the PV power generation amount of the consumer 3 from the photovoltaic power generation device 6. Here, FIG. 7 is an example of actual data of the past PV power generation amount of the consumer 3 according to the present embodiment. The actual data of the amount of PV power generation is data related to the actual amount of PV power generation for each customer 3 at each time of 30 minutes. Further, the acquisition unit 15 acquires the charge / discharge electric energy and the electric energy of the storage battery of the EV 4 from the V2X device 5, and the charge / discharge electric energy and the electric energy of the accumulator from the storage battery 7.

Returning to FIG. 2, the acquisition unit 15 acquires connection information which is information regarding the connection state (for example, with or without connection) between the EV 4 and the V2X device 5.

The display control unit 16 displays the calculation results of the prediction unit 19 and the plan creation unit 20 on a display device (not shown).

The prediction unit 19 predicts the load power amount for each time unit for each consumer 3. More specifically, the prediction unit 19 includes actual data on the amount of received power stored in the storage unit 14, actual data on the amount of PV generated power, data on the amount of charge / discharge power of the storage battery 7, and data on the amount of charge / discharge power of EV4. , And, based on the calendar information such as the day of the day, the load power amount for each consumer 3 for each time unit of the next day is predicted.

Further, the prediction unit 19 predicts the PV power generation amount (supply power amount) for each time unit of the consumer 3. More specifically, the prediction unit 19 predicts the PV power generation amount for each consumer 3 for each hour unit of the next day based on the actual data of the PV power generation amount stored in the storage unit 14 and the weather forecast information. do.

The load power amount and the PV power generation power amount may be input from the input unit 13 and stored in the storage unit 14 to be acquired and used. Moreover, the value input from another system may be used.

The planning unit 20 stores the stored battery of the EV4 based on the load power amount (demand power amount), PV power generation power amount (supply power amount) and usage information predicted by the prediction unit 19 for each consumer 3. Create a charge / discharge plan that defines the charge amount and discharge amount for each time unit of EV4 so that the electricity charge is minimized within the range of the upper and lower limits.

The plan creation unit 20 may further use the above-mentioned connection information when creating a charge / discharge plan. Further, the charge / discharge plan may be a plan of only charging the EV storage battery.

The control unit 18 controls the charge / discharge of the V2X device 5 according to the charge / discharge plan of the EV4 created by the plan creation unit 20. More specifically, the control unit 18 converts the charge / discharge plan into a command signal indicating a charge or discharge power value for each time unit, and transmits the charge / discharge plan to each V2X device 5.

When the V2X device 5 receives a command signal instructing charging from the control unit 18, the V2X device 5 acquires electric power from the power system 10 by a specified amount for each time unit and charges the device. When the V2X device 5 receives a command signal instructing discharge, the V2X device 5 discharges a specified amount for each time unit and supplies electric power to the load 23 via the premises system 22. The load 23 is a device that consumes electric power such as lighting and air conditioning.

(Action)
Next, the flow of processing executed by the DER management device 12 of the present embodiment configured as described above will be described. FIG. 8 is a flowchart showing an example of the flow of processing by the DER management device 12 according to the present embodiment.

First, the prediction unit 19 receives actual data of the amount of power received from the storage unit 14 (FIG. 6), actual data of the amount of PV generated power (FIG. 7), charge / discharge power amount data of the storage battery 7, and charge / discharge power of the EV 4. The amount data and calendar information such as the day of day are read out, and based on these information, the load power amount for each consumer 3 for each time unit of the next day is predicted (S1). Further, the prediction unit 19 reads out the actual data of the PV power generation amount and the weather information such as the amount of solar radiation from the storage unit 14, and based on these information, the PV for each customer 3 for each hour unit of the next day and the day after next. Predict the amount of power generation (the amount of photovoltaic power generation) (S2).

The load power amount and the PV power generation power amount may be input from the input unit 13 and stored in the storage unit 14 to be acquired and used. Further, a value input from another system may be used.

Next, the planning unit 20 determines the next day based on the load power amount and PV power generation amount predicted by the prediction unit 19 and the information on the EV4 storage battery and the V2X device 5 for each customer 3 (FIG. 4). Create a charge / discharge plan (S3). More specifically, the planning unit 20 uses an optimization model (optimization problem) that minimizes the objective function (evaluation formula) of the formula (1) under the constraint conditions shown in the formulas (2) to (16). By calculating the optimum solution of, the charge / discharge amount of the EV4 storage battery for each customer 3 for each time unit is obtained. The optimization problem of equations (1) to (16) is a problem called a linear programming problem. The planning unit 20 calculates the optimum solution that minimizes the objective function of (1) by, for example, a method such as a simplex method or an interior point method. Further, in the following, it is assumed that the V2X device 5 that charges and discharges the EV 4 uses a hybrid storage battery 24 (FIG. 2) that shares a power conditioner with the solar power generation device 6 and the storage battery 7.

Here, the variables are as follows.

Here, the parameters are as follows.

Equation (1) shows the power cost (basic charge + metered charge) of the consumer 3 at the time T to be planned. Here, T is 24 hours on the day following the day when this process is executed. t indicates a time unit at intervals of 30 minutes. In the description of the equations (1) to (16), the time unit is referred to as time t.

The planning unit 20 satisfies the variables Pr (t), _Pr ^max , P _pcs ( _t ), and P _pvr (t), which satisfy the equations (2) to (16) and further reduce the power cost of the consumer 3. The values of t), S _v (t), P _vc (t), P _vd (t), S _b (t), P _bc (t), and P _bd (t) are obtained.

Pr ( _t ) is the amount of power received (kWh) at time t of the consumer 3. _Pr ^max is the peak power (kW) of the consumer 3. P _pcs (t) is the output power amount (kWh) of the hybrid storage battery 24 at time t for each consumer 3. P _pvr (t) is a suppression amount (kWh) of the amount of power generated by the photovoltaic power generation device 6 at time t for each consumer 3.

S _v (t) is the remaining charge (kWh) at time t for each EV 4 stopped at the consumer 3. Further, P _vc (t) is a charging electric energy (kWh) at time t of the V2X device 5. P _vd (t) is the amount of discharge power (kWh) at time t of the V2X device 5.

Further, S _b (t) is the amount of electricity stored (kWh) at time t of the storage battery 7 of the consumer 3. P _bc (t) is the amount of charging power (kWh) at time t of the storage battery 7. P _bd (t) is the amount of discharge power (kWh) at time t of the storage battery 7.

The values of P _vc (t) and P _vd (t) calculated by the plan creation unit 20 by this optimization model are the charge / discharge plans of the storage battery of EV4. The planning unit 20 has input parameters ΔT, D _m , cd, _ce (t), P _d (t), P _pv (t), P _pcs ^max , t _vr , from the data stored in the storage unit 14 _. t _vr , η _vc , η _vd , P _vc ^max , P _vd ^max , S _v ^max , S _v ^min , S _v ⁰ , η _bc , η _bd , P _bc ^max , P _bd ^max , S _b ^max , S _b ^min The input values to the equations (1) to (16) are acquired, input to each input parameter, and then the optimum solution of the optimization model of the equations (1) to (16) is obtained.

ΔT is a time step and indicates the time unit of each equation. The time step of this embodiment is in 30 minute increments. P _d (t) is a predicted value (kWh) of the power load at time t. D _m is the number of days in a month. _cd is the basic charge unit price (yen / kW / month) of the purchased electric power. c _e (t) is a pay-as-you-go unit price (yen / kWh) at time t. η _vc is the charging efficiency of the V2X device 5. η _vd is the discharge efficiency of the V2X device 5.

P _vc ^max is the upper limit of the charge amount (kWh) of the storage battery of EV4. P _vd ^max is the upper limit of the discharge amount (kWh) of the storage battery of EV4. Sv ^max is the upper limit of the storage amount (kWh) of the storage battery of _EV4 . Sv ^min is the lower limit of the storage amount (kW) of the storage battery of _EV4 . Sv ⁰ is the amount of electricity stored (kWh) at the end of the EV usage time of the _EV4 storage battery. η _bc is the charging efficiency of the storage battery 7. η _bd is the discharge efficiency of the storage battery 7. P _bc ^max is the upper limit of the charge amount (kWh) of the storage battery 7. P _bd ^max is the upper limit of the discharge amount (kWh) of the storage battery 7. S _b ^max is the upper limit of the storage amount (kWh) of the storage battery 7. _Sb ^min is the lower limit of the storage amount (kWh) of the storage battery 7.

Further, c _e (t) may be a predicted value (yen / kWh) of the electric power unit price at the time t of the electric power exchange. In this case, the formula (1) shows the total value of the electric power procurement cost procured from the electric power exchange by the electric power retailer at the time T to be planned.

Equation (2) is a constraint condition for peak cut for each consumer 3. Equation (2) stipulates that the amount of power received at time t for each consumer 3 is equal to or less than the amount of power for 30 minutes determined by the peak power for each consumer 3.

FIG. 9 is a diagram for explaining the supply and demand balance (energy balance) of electric power at the receiving point of the consumer 3. As shown in FIG. 9, in the equation (3), the value obtained by adding the received power amount Pr (t) of the consumer 3 at each time t and the charge / discharge power amount P _pcs (t) of the hybrid storage battery is the value of the consumer 3. It is a constraint condition that it becomes equal to the predicted power load value P _d (t) for each time t.

Equation (4) is a constraint on the energy balance of the hybrid storage battery. In the formula (4), the charge / discharge electric energy P _pcs (t) of the hybrid storage battery is obtained by subtracting the PV power generation suppression electric energy P _pvr (t) from the PV power generation electric energy predicted value P _pv (t), and the EV 4 storage battery. The charging electric energy P _vc (t) is subtracted, the discharging amount P _vd (t) of the storage battery of EV4 is added, the charging electric energy P _bc (t) of the storage battery 7 is subtracted, and the discharging electric energy P _bd of the storage battery 7 is subtracted. It is a constraint condition that it becomes equal to the value obtained by adding (t).

Equation (5) is a constraint condition for the upper limit of the output of the hybrid storage battery. Equation (5) defines that the output of the hybrid storage battery is equal to or less than the output upper limit.

Equation (6) is a constraint on the energy conservation law in the EV4 storage battery. More specifically, in the equation (6), the amount of change in the remaining charge of the EV4 storage battery in time units is obtained by subtracting the value obtained by dividing the amount of discharge power by the discharge efficiency from the value obtained by multiplying the amount of charge power by the charge efficiency. It is stipulated that the value will be the same.

Equation (7) is a constraint condition for the upper and lower limits of the charge power amount of the V2X device 5. Further, the equation (8) is a constraint condition of the upper and lower limits of the discharge power amount of the V2X device 5. The charge power amount and the discharge power amount at time t of the V2X device 5 installed in the consumer 3 are defined by the respective output powers of the V2X device 5.

Equation (9) is a constraint condition for the upper and lower limits of the storage amount of the storage battery of EV4. Equation (9) defines that the stored amount of the storage battery of EV4 is within the range of the upper and lower limit values of the stored amount.

Equation (10) is a constraint condition for the amount of charge / discharge power of the V2X device 5 when EV4 is used. In the formula (10), when _EV4 is used (time t vr (for example, 9 o'clock) to t _vr (for example, 17:00)), the charge power amount P _vc (t) and the discharge power amount P _vd of the V2X device 5 ( t) specifies that it is zero.

Equation (11) is a constraint condition for the amount of electricity stored in the EV storage battery at the end of EV4 use. Equation (11) stipulates that the stored amount is a predetermined value _Sv ⁰ when the EV 4 ends the use and returns to the consumer 3. The predetermined value _Sv ⁰ may be set as several tens of percent of the upper limit of the stored amount of the EV storage battery, or may use an actual value if an actual value can be obtained.

Equation (12) is a constraint condition for the amount of electricity stored in the EV storage battery at the start of using EV4. Equation (12) stipulates that the amount of stored electricity reaches the fully charged Sv ^max at the time when the _EV4 is used.

Equations (13) to (16) are the same restrictions as the constraint equations (6) to (9) of the EV4 and the V2X device 5 with respect to the storage battery 7, and the description thereof will be omitted.

FIG. 10 is a graph showing an example of a charge / discharge plan of the EV storage battery according to the present embodiment. In FIGS. 10A to 10C, the horizontal axis indicates the time t for two days. The vertical axis of FIG. 10A shows the pay-as-you-go unit price (yen / kWh). The vertical axis of FIG. 10B shows the electric energy (kWh) every 30 minutes. The vertical axis of FIG. 10C shows the storage capacity (kWh) of the EV storage battery.

The line graph in FIG. 10A shows the unit price of the purchased electric power. In FIG. 10B, the curve B11 shows the actual value of the load electric energy, and the curve B12 shows the predicted value of the load electric energy. Further, the curve B21 shows the actual value of the PV power generation amount, and the curve B22 shows the predicted value of the PV power generation amount. Further, the bar graph in FIG. 10B shows the planned value of the amount of charge / discharge power by the V2X device 5 of EV4 (positive number is discharge, negative number is charge). Further, the curve C in FIG. 10C shows the planned storage amount of the storage battery of EV4.

Further, in the present embodiment, when it is confirmed that the EV 4 is connected to the V2X device 5 at the end of EV use (17:00) on the first day, the processes after step S1 of the DER management process in FIG. 8 are performed. Shall be executed. The EV usage time (9:00 to 17) on the second day is compared with the power load prediction (curve B12) and PV power generation prediction (curve B22) from the end of EV usage on the first day to the second day. It can be confirmed that the EV4 charge / discharge plan is created in the time excluding the time), and the restriction that the amount of electricity stored reaches the upper limit is satisfied at the start of EV use (9 o'clock).

In addition, since the peak time of the power load on the second day is the EV usage time, it is not possible to discharge from the EV4 and the basic electricity charge cannot be reduced, but the time zone after the end of the EV usage on the first day. The amount of electricity stored in the EV storage battery between 17:00 and 19:00 is discharged once while the unit price of electricity is high, and is charged from 22:00 to 1:00 when the unit price is low, reducing the metered rate. You can confirm that you are doing.

Further, from 7:00 to 9:00 on the second day, the PV power generation predicted value (curve B22) exceeds the power load predicted value (curve B12), and it is predicted that PV surplus power will be generated. Therefore, in order to absorb this with the EV storage battery, after 22:00 on the first day, instead of immediately charging the EV storage battery to full charge, secure a free capacity for absorbing the PV surplus power, and from 7 o'clock. The EV storage battery is being charged using the PV surplus power at 9 o'clock. As a result, it can be confirmed that the power purchased from the power system is reduced by effectively using the PV generated power.

Among the consumers 3, the consumer 3 who has the EV 4 but does not have the storage battery 7 can effectively reduce the electricity charge by such a method. Further, for the consumer 3 who has both the EV 4 and the storage battery 7, for example, when the storage battery 7 is fully charged, the electricity charge can be effectively reduced, and the power loss due to the charging and discharging of the storage battery 7 can be reduced. When taken into consideration, the surplus PV power can be used more efficiently by allowing the EV 4 to preferentially absorb the surplus power power over the storage battery 7.

Returning to FIG. 8, in S3, the plan creation unit 20 stores the created charge / discharge plan in the storage unit 14.

Next, the display control unit 16 displays the charge / discharge plan on a display device (not shown) (S4). The person in charge (user) of the DR aggregator 2 can confirm the charge / discharge plan on the display device.

Next, the control unit 18 executes the charge / discharge plan by controlling the charge / discharge of the V2X device 5 according to the created charge / discharge plan (S5). At this point, the processing of this flowchart ends.

In the present embodiment, the V2X device 5 that charges and discharges the EV 4 uses a hybrid storage battery 24 that shares a power conditioner with the solar power generation device 6 and the storage battery 7, but the present invention uses such a hybrid storage battery. Not limited to this, each power conditioner may be installed separately or partially shared. Further, the V2X device 5 may be a charging device that only charges.

In addition, the timing for creating the EV4 charge / discharge plan is not limited to the end of EV use, and the fixed time, load prediction error, PV power generation prediction error are monitored, and when the error exceeds the fixed threshold value, etc. It may be another timing.

Further, in the charge / discharge plan of the EV storage battery created by the plan creation unit 20 of the present embodiment, the objective function of the optimization problem is the electric power cost shown by the equation (1), and the breakdown thereof is a retail charge consisting of a basic charge and a metered charge. It was an electricity charge. However, the electric power cost is not limited to such retail electricity charges, and may be the electric power procurement cost of the retail electric power company or the electric power purchase cost from the wholesale electric power exchange. Further, as the retail electricity charge, the basic charge unit price or the metered charge unit price may be arbitrarily set. Further, as the electric power procurement cost of the retail electric power company, the electric power procurement cost of an arbitrary unit price may be used. It may also be a combination of the retail electricity rate and the electricity procurement cost of the retail electricity company.

(effect)
In this way, according to the DER management device 12 of the present embodiment, the load power amount and the power supply amount predicted for each time unit of the consumer having the EV4, and the usage information including the information of the vehicle usage time zone , A charge / discharge plan for EV4 can be created. Therefore, the EV storage battery can be used as a DER according to the operation status of the EV4 without the information input operation for using the EV4 as a DER from the EV side.

Further, under the constraint conditions shown in the above equations (2) to (16), the optimum charge / discharge plan is ensured by the method of calculating the optimum solution of the optimization model that minimizes the objective function of the equation (1). And it can be easily created.

Further, in the prior art, the merit in supplying the electric power of the EV storage battery to the load side has not been clarified. On the other hand, according to the DER management device 12 of the present embodiment, by supplying the electric power of the EV storage battery to the load side, the electric power charge of the consumer 3 is reduced and the electric power procurement cost of the retail electric power company is reduced. In addition, it is possible to level the load of the electric power system through them, and the merit of supplying the electric power of the EV storage battery to the load side is clear.

The program executed by the DER management device 12 of the present embodiment is a file in an installable format or an executable format, and is a computer such as a CD-ROM, a flexible disk (FD), a CD-R, or a DVD (Digital Versatile Disk). It is recorded and provided on a readable recording medium. Further, the program may be stored on a computer connected to a network such as the Internet and provided by downloading via the network. Further, the program may be configured to be provided or distributed via a network such as the Internet. Further, the program may be configured to be provided by incorporating it into a ROM or the like in advance.

The program has a module configuration including each of the above-mentioned units (input unit 13, acquisition unit 15, display control unit 16, prediction unit 19, plan creation unit 20, control unit 18), and the actual hardware is a CPU. When the (processor) reads the program from the storage medium and executes the program, each part is loaded on the main storage device, and each part is generated on the main storage device.

Although embodiments of the present invention have been described, these embodiments are presented as examples and are not intended to limit the scope of the invention. This novel embodiment can be implemented in various other embodiments, and various omissions, replacements, and changes can be made without departing from the gist of the invention. This embodiment and its modifications are included in the scope and gist of the invention, and are also included in the scope of the invention described in the claims and the equivalent scope thereof.

2 ... DR aggregator, 3 ... consumer, 4 ... EV, 5 ... V2X device, 6 ... solar power generation device (PV), 7 ... storage battery, 8 ... consumer, 9 ... system operator, 10 ... power system, 11 ... Generator, 12 ... DER management device, 13 ... Input unit, 14 ... Storage unit, 15 ... Acquisition unit, 16 ... Display control unit, 17 ... Calculation unit, 18 ... Control unit, 19 ... Prediction unit, 20 ... Plan creation Department, 21 ... Electric energy meter, 22 ... On-site system, 23 ... Load, 24 ... Hybrid storage battery

Claims (8)

A predictor that predicts the amount of power demand and power supply for each hour of a consumer who has a storage battery of a vehicle as a distributed energy resource,
An input unit for inputting usage information including information on the usage time zone of the vehicle, and
A distributed energy resource management device including a plan creation unit for creating a charge / discharge plan for the storage battery based on the required electric energy, the supplied electric energy, and the usage information. The usage information includes at least one of a usage start time and a usage end time of the vehicle, a charging target value of the storage battery at the usage start time, and a remaining amount estimated value of the storage battery at the usage end time. , The distributed energy resource management device according to claim 1. The distributed energy resource management device according to claim 1 or 2, wherein the charge / discharge plan is a plan only for charging the storage battery. Further provided with an acquisition unit for acquiring connection information, which is information on the connection state between the vehicle and the charging / discharging equipment to which the vehicle charges / discharges.
The plan creating unit creates a charge / discharge plan for the storage battery based on the demand power amount, the supply power amount, the usage information, and the connection information, according to any one of claims 1 to 3. Described distributed energy resource management device. The item according to any one of claims 1 to 4, wherein the planning unit creates a charge / discharge plan for the storage battery by calculating an optimum solution of an optimization model that minimizes a predetermined evaluation formula. Distributed energy resource management device. The distributed energy resource management device according to claim 5, wherein the evaluation formula is a combination of a basic charge and a metered charge of electric power for the consumer. A prediction step for predicting the amount of power demand and power supply for each hour of a consumer who has a storage battery of a vehicle as a distributed energy resource, and
An input step for inputting usage information including information on the usage time zone of the vehicle, and
A distributed energy resource management method including a plan creation step of creating a charge / discharge plan of the storage battery based on the required electric energy, the supplied electric energy, and the usage information. A prediction step for predicting the amount of power demand and power supply for each hour of a consumer who has a storage battery of a vehicle as a distributed energy resource, and
An input step for inputting usage information including information on the usage time zone of the vehicle, and
A distributed energy resource management program for causing a computer to execute a plan creation step of creating a charge / discharge plan of the storage battery based on the required electric energy, the supplied electric energy, and the usage information.

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