Distributed Energy Resource Management Device, Distributed Energy Resource Management Method, and Distributed Energy Resource Management Program

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

Technical Field

[0001] 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.

Background Art

[0002] In recent years, the development of a virtual power plant (VPP) technology has been promoted, which aggregates distributed energy resources (DERs) owned by consumers such as factories and households (power consumers; the same applies hereinafter) using advanced energy management technology utilizing IoT (Internet of Things) and performs remote and integrated control to make it function as if it were a single power plant.

[0003] Furthermore, attention is increasing towards VPP and DR (Demand Response), which is a technology for controlling the power on the consumer side to balance the demand (consumption) and supply (generation) of electricity. It is expected that VPP and DR will provide services such as load leveling, absorption of excess power generated by renewable energy, and supply during power shortages.

[0004] Also, from the perspective of preventing global warming, the introduction of renewable energy generators such as solar power generation devices that do not emit CO 2 2, batteries for effectively utilizing the generated power of renewable energy generators, and electric vehicles (EVs) is increasing, and it is expected to utilize these as DERs.

[0005] Here, when paying attention to EVs as DERs, unlike stationary batteries, EVs cannot be utilized as DERs while they are being used as a means of transportation, and utilization according to the operation status of EVs is required.

[0006] As a technology for this purpose, for example, there is known a power management system that supplies the power charged in an EV battery to the power grid when a user of the EV indicates an intention not to drive the EV for a predetermined period by performing a predetermined operation input from their home or the vehicle.

Prior Art Documents

Patent Documents

[0007]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0008] However, in the above-described conventional technology, an information input device for utilizing the EV as a DER is required on the EV side (the user's home or vehicle), and there is room for improvement in terms of convenience.

[0009] Therefore, an object of the present invention is to provide a distributed energy resource management device, a distributed energy resource management method, and a distributed energy resource management program that can utilize an EV battery as a DER according to the operation status of the EV without an information input operation for utilizing the EV as a DER from the EV side.

Means for Solving the Problems

[0010] The distributed energy resource management device according to the embodiment includes a prediction unit that predicts the power demand amount and the power supply amount per time unit of a customer having a vehicle battery as a distributed energy resource, an input unit that inputs utilization information including information on the utilization time zone of the vehicle, and a plan creation unit that creates a charge / discharge plan for the battery based on the power demand amount, the power supply amount, and the utilization information.

Brief Description of the Drawings

[0011]

Figure 1

Figure 2

Figure 3

Figure 4

Figure 5A

Figure 5B

Figure 6

Figure 7

Figure 8

Figure 9

Figure 10

Embodiments for Carrying Out the Invention

[0012] Hereinafter, embodiments of the distributed energy resource management device, distributed energy resource management method, and distributed energy resource management program according to the present invention will be described with reference to the drawings. Note that hereinafter, the time refers to two types: a case where it refers to an instant of time and a case where it refers to the time width (for example, 30 minutes) of a predetermined time unit (for example, 30 - minute unit).

[0013] (Configuration) FIG. 1 is a diagram showing an overview of the power supply and demand system S according to the embodiment. The grid operator 9 in FIG. 1 is an electric power company, a power transmission and distribution operator, etc., and operates the power grid 10 and controls the generator 11 to supply power to a plurality of consumers 3 and 8.

[0014] Consumers 3 and 8 are entities that receive power supply and utilize the power. In this embodiment, consumer 3 is a consumer included in the management range of the DR aggregator 2, and is, for example, a building where an office or a commercial facility is located. Also, consumer 8 is a factory, a building, a house, etc. Also, an operator who operates a building or the like may be regarded as consumer 3. Hereinafter, among consumers 3 and 8, mainly consumer 3 will be taken as an example for explanation, but the same applies to consumer 8.

[0015] Consumer 3 has all or part of the EV 4, the V2X device 5 (charging / discharging facility) which is the object for the EV 4 to charge and discharge, the solar power generation device 6 (PV: Photovoltaics), and the storage battery 7. The EV 4 charges and discharges by connecting to the V2X device 5, and like the storage battery 7, is used to perform peak shaving, demand response, and power supply during emergencies such as power outages. The V2X device 5 is a device that charges and discharges the storage battery of the EV 4, for example, in the same way as the power conditioner of the storage battery 7.

[0016] The DR aggregator 2 controls the V2X device 5, the storage battery 7, etc. of consumer 3 based on the power load prediction of consumer 3, the power generation prediction of the solar power generation device 6, etc., to reduce the peak of the received power of consumer 3 and perform a time shift of the power consumption, thereby reducing the electricity bill of consumer 3 and contributing to the load leveling of the power grid 10.

[0017] Also, the DR aggregator 2 is an operator that performs DR by reducing the received power amount of consumer 3 based on a request for reducing the received power amount (DR request) from the grid operator 9, and realizes DR by controlling the V2X device 5 and the storage battery 7 of consumer 3 based on the reduction request from the grid operator 9.

[0018] In addition, the DR aggregator 2 creates a schedule (charging / discharging plan) for charging or discharging the EV battery (the battery of EV4) by the DER management device 12 (distributed energy resource management device), and controls the charging and discharging of the EV battery according to the charging / discharging plan. The DER management device 12 is a PC (Personal Computer) or the like, and has a hardware configuration using a normal computer including 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 an input device such as a keyboard and a mouse.

[0019] FIG. 2 is a diagram showing an example of the functions 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, an arithmetic unit 17, and a control unit 18. The arithmetic unit 17 includes a prediction unit 19 and a plan creation unit 20.

[0020] 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), inputs information regarding the power purchase of the consumer 3, information regarding the battery of EV4, usage information, information regarding the V2X device 5, etc., and stores them 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).

[0021] The storage unit 14 stores information input from the input unit 13, data acquired by the acquisition unit 15, assumed loads in the event of an emergency, calculation conditions for data processing by the prediction unit 19 and the plan creation unit 20, calculation results of the prediction unit 19 and the plan creation unit 20, and the like. The storage unit 14 is, for example, an HDD or a memory.

[0022] Figure 3 is an example of information regarding the power purchase of the consumer 3 according to the present embodiment. More specifically, the information regarding the power purchase is data in which the consumer name, the contract power of the consumer 3, and the peak shaving power of the consumer 3 are associated. The peak shaving power is the value that the consumer 3 has contracted with the power company or the DR aggregator 2 as the target value of the maximum value of the received power. When the peak shaving power is converted into the power amount every 30 minutes, it becomes the target value (target power amount) of the peak shaving. If the consumer 3 can keep the received power below the peak shaving power for a certain period or more, the contract power can be reduced, and the basic charge can be lowered.

[0023] Figure 4 is an example of information regarding the storage battery of the EV4 and the V2X device 5 of the consumer 3 according to the present embodiment. The information regarding the storage battery of the EV4 is data in which the EV name that can identify the EV4, the consumer name having the EV4, the storage battery capacity of the EV4, the upper limit (charging upper limit) and the lower limit (discharging lower limit) of the stored power amount are associated.

[0024] In addition, the information regarding the V2X device 5 is data in which the EV name corresponding to the V2X device 5, the consumer name 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 are associated. In the present embodiment, when there are a plurality of EV4s and V2X devices 5 in one consumer 3, it is assumed that the EV4 and the V2X device 5 correspond one-to-one.

[0025] In addition, FIGS. 5A and 5B are examples of the usage information of the EV4 of the consumer 3 according to the present embodiment. The usage information includes at least any one of the usage start time and the usage end time of the EV4, the charging target value of the EV storage battery at the usage start time, and the assumed remaining amount of the EV storage battery at the usage end time. Specifically, it is as follows.

[0026] The usage information of EV4 shown in FIG. 5A is the EV name, the date, the start time of using EV4 at each date, and the end time of use. Also, the usage information of EV4 shown in FIG. 5B is the EV name, the target value of the charge amount at the start of using the EV, and the assumed value of the charge amount (remaining amount assumption) at the end of use. Note that the usage information of EV4 may be newly created, or information such as a schedule of an existing EV4 may be diverted.

[0027] 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 past performance of the received power amount of the consumer 3 according to the present embodiment. The performance data of the received power amount is data regarding the performance of the power reception amount of the consumer 3 for each 30-minute unit of time (where "0:00" indicates the 30-minute period from that time). The acquisition unit 15 acquires, from the watt-hour meter 21, data on the received power amount for each 30-minute interval of time for each date, time, and consumer 3, associates these data, and stores them in the storage unit 14 as performance data of the received power amount.

[0028] Returning to FIG. 2, the acquisition unit 15 acquires data on the PV power generation amount of the consumer 3 from the solar power generation device 6. Here, FIG. 7 is an example of the past performance data of the PV power generation amount of the consumer 3 according to the present embodiment. The performance data of the PV power generation amount is data regarding the performance of the PV power generation amount for each consumer 3 for each 30-minute unit of time. Also, the acquisition unit 15 acquires the charge and discharge power amount, the stored power amount of the storage battery of EV4 from the V2X device 5, and the charge and discharge power amount and the stored power amount from the storage battery 7.

[0029] Returning to FIG. 2, the acquisition unit 15 acquires connection information, which is information on the connection state (for example, connected, not connected) between the EV4 and the V2X device 5.

[0030] The display control unit 16 displays the calculation results of the prediction unit 19 and the plan creation unit 20, etc. on a display device (not shown).

[0031] The prediction unit 19 predicts the power consumption load for each consumer 3 in time units. More specifically, the prediction unit 19 predicts the power consumption load for each consumer 3 in time units for the next day based on the actual data of the received power, the actual data of the PV power generation, the charge and discharge power data of the storage battery 7, the charge and discharge power data of the EV 4, and the calendar information such as the day of the week.

[0032] In addition, the prediction unit 19 predicts the PV power generation (supply power) for each consumer 3 in time units. More specifically, the prediction unit 19 predicts the PV power generation for each consumer 3 in time units for the next day based on the actual data of the PV power generation stored in the storage unit 14 and the weather forecast information.

[0033] The power consumption load and the PV power generation may be obtained by using the data input from the input unit 13 and stored in the storage unit 14. Also, values input from other systems may be used.

[0034] The charging and discharging plan creation unit 20 creates a charging and discharging plan that defines the charging amount and discharging amount for each time unit of the EV 4 so that the stored power of the storage battery of the EV 4 is within the upper and lower limit values and the electricity cost is minimized for each consumer 3 based on the power consumption load (demand power) and PV power generation (supply power) predicted by the prediction unit 19 and the usage information.

[0035] Note that the charging and discharging plan creation unit 20 may further use the above connection information when creating the charging and discharging plan. Also, the charging and discharging plan may be a plan for only charging the EV storage battery.

[0036] The control unit 18 controls the charging and discharging of the V2X device 5 according to the charging and discharging plan of the EV 4 created by the charging and discharging plan creation unit 20. More specifically, the control unit 18 converts the charging and discharging plan into a command signal indicating the power value of charging or discharging for each time unit and transmits it to each V2X device 5.

[0037] When the V2X device 5 receives a command signal instructing charging from the control unit 18, it charges by obtaining power from the power grid 10 in an amount specified for each time unit. Also, when the V2X device 5 receives a command signal instructing discharging, it discharges in an amount specified for each time unit and supplies power to the load 23 via the in-premises power grid 22. The load 23 is a device that consumes power such as lighting and air conditioning.

[0038] (Operation) Next, the flow of the process 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 the process by the DER management device 12 according to the present embodiment.

[0039] First, the prediction unit 19 reads out the actual power reception amount data (FIG. 6), the actual PV power generation amount data (FIG. 7), the charge / discharge power amount data of the storage battery 7, the charge / discharge power amount data of the EV 4, and calendar information such as day of the week from the storage unit 14, and based on these pieces of information, predicts the load power amount for each consumer 3 for each time unit of the next day (S1). Also, the prediction unit 19 reads out the actual PV power generation amount data and weather information such as solar irradiance amount from the storage unit 14, and based on these pieces of information, predicts the PV power generation amount (solar power generation amount) for each consumer 3 for each time unit of the next day and the day after next (S2).

[0040] The load power amount and the PV power generation amount may be obtained by using those input from the input unit 13 and stored in the storage unit 14. Also, values input from other systems may be used.

[0041] Next, based on the load power amount predicted by the prediction unit 19, the PV power generation amount, and the information (Fig. 4) regarding the storage batteries and V2X devices 5 of the EVs 4 for each consumer 3, the charging / discharging plan for the next day is created (S3). More specifically, the plan creation unit 20 calculates the optimal solution of an optimization model (optimization problem) that minimizes the objective function (evaluation formula) of Formula (1) under the constraint conditions shown in Formulas (2) to (16), thereby obtaining the charging / discharging amount of the storage battery of the EV 4 for each consumer 3 per time unit. The optimization problem of Formulas (1) to (16) is a problem called a linear programming problem. The plan creation unit 20 calculates the optimal solution that minimizes the objective function of (1) by means of a method such as the simplex method or the interior point method. Further, hereinafter, it is assumed that the V2X device 5 that performs charging / discharging of the EV 4 uses a hybrid storage battery 24 (Fig. 2) that shares a solar power generation device 6, a storage battery 7, and a power conditioner.

[0042] [Number]

[0043] Here, the variables are as follows. [Number]

[0044] Here, the parameters are as follows. [Number]

[0045] Formula (1) represents the power cost (basic charge + consumption charge) of consumer 3 at time T for which the plan is made. Here, T is the 24 hours of the day after the day on which this process is executed. t represents a time unit at 30-minute intervals. In the explanation of Formulas (1) to (16), the time unit is referred to as time t.

[0046] The plan creation unit 20, while satisfying Formulas (2) to (16), determines the variable P r (t), P rmax , P pcs (t), P pvr (t), S v (t), P vc (t), P vd (t), S b (t), P bc (t), P bd (t) to obtain the value of.

[0047] P r (t) is the received power amount (kWh) of consumer 3 at time t. P r max is the peak power (kW) of consumer 3. P pcs (t) is the output power amount (kWh) of the hybrid battery 24 of consumer 3 at time t. P pvr (t) is the suppression amount (kWh) of the power generation amount of the solar power generation device 6 of consumer 3 at time t.

[0048] S v (t) is the remaining charge amount (kWh) of the EV4 parked at consumer 3 at time t. Also, P vc (t) is the charging power amount (kWh) of the V2X device 5 at time t. P vd (t) is the discharging power amount (kWh) of the V2X device 5 at time t.

[0049] Also, S b (t) is the charge amount (kWh) of the battery 7 of consumer 3 at time t. P bc (t) is the charging power amount (kWh) of the battery 7 at time t. P bd (t) is the discharging power amount (kWh) of the battery 7 at time t.

[0050] The values of P vc (t) and P vd (t) calculated by the planning unit 20 according to this optimization model become the charge and discharge plan of the battery of the EV4. The planning unit 20 obtains the input parameters ΔT, D from the data stored in the storage unit 14 m , c d , c e (t), P d(t), P pv (t), P pcs max , t vl , 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 For, obtain the input values to formulas (1) to (16), input them into each input parameter, and then obtain the optimal solution of the optimization model of formulas (1) to (16).

[0051] ΔT is a time step and indicates the time unit of each formula. The time step in this embodiment is in 30 - minute increments. P d (t) is the predicted value (kWh) of the power load at time t. D m is the number of days in a month. c d is the basic charge unit price of purchased power (yen / kW·month). c e (t) is the unit price of the volume - based charge (yen / kWh) at time t. η vc is the charging efficiency of the V2X device 5. η vd is the discharging efficiency of the V2X device 5.

[0052] P vc max is the upper limit of the charge amount (kWh) of the battery of the EV4. P vd max is the upper limit of the discharge amount (kWh) of the battery of the EV4. S v max is the upper limit of the charge storage amount (kWh) of the battery of the EV4. S v minis the lower limit of the power storage capacity (kW) of the battery of EV4. S v 0 is the power storage capacity (kWh) of the battery of EV4 at the end of the EV usage time. η bc is the charging efficiency of the battery 7. η bd is the discharging efficiency of the battery 7. P bc max is the upper limit of the charging amount (kWh) of the battery 7. P bd max is the upper limit of the discharging amount (kWh) of the battery 7. S b max is the upper limit of the power storage capacity (kWh) of the battery 7. S b min is the lower limit of the power storage capacity (kWh) of the battery 7.

[0053] Also, c e (t) may be the predicted value of the electricity price (yen / kWh) at time t in the power exchange. In this case, Equation (1) represents the total value of the power procurement cost that the electricity retailer procures from the power exchange during the planned time T.

[0054] Equation (2) is the constraint condition for peak shaving for each consumer 3. Equation (2) stipulates that the received power amount at time t for each consumer 3 is equal to or less than the power amount for 30 minutes determined by the peak power for each consumer 3.

[0055] Figure 9 is a diagram for explaining the power supply-demand balance (energy balance) at the power receiving point of consumer 3. As shown in Figure 9, Equation (3) represents the constraint condition that the sum of the received power amount Pr(t) at each time t of consumer 3 and the charge / discharge power amount P pcs (t) of the hybrid battery is equal to the predicted value P d (t) of the power load at each time t of consumer 3.

[0056] Equation (4) is the constraint condition for the energy balance of the hybrid battery. Equation (4) represents that the charge / discharge power amount P pcs (t) of the hybrid battery is the predicted value P pv of the PV power generation amount minus the PV power generation suppression amount P pvrSubtract (t) and the charging power amount P of the battery of EV4 vc Subtract (t) and the discharge amount P of the battery of EV4 vd Add (t) and the charging power amount P of the battery 7 bc Subtract (t) and the discharging power amount P of the battery 7 bd It is a constraint condition that it becomes equal to the value obtained by adding (t).

[0057] Equation (5) is a constraint condition for the output upper limit of the hybrid battery. Equation (5) stipulates that the output of the hybrid battery is below the output upper limit.

[0058] Equation (6) is a constraint condition for the law of conservation of energy in the battery of EV4. More specifically, Equation (6) stipulates that the change amount of the remaining charge of the battery of EV4 per unit time is the value obtained by subtracting the value obtained by dividing the discharge power amount by the discharge efficiency from the value obtained by multiplying the charging power amount by the charging efficiency.

[0059] Equation (7) is a constraint condition for the upper and lower limits of the charging power amount of the V2X device 5. Also, Equation (8) is a constraint condition for the upper and lower limits of the discharge power amount of the V2X device 5. The charging power amount and the discharge power amount of the V2X device 5 installed in the consumer 3 at time t are defined by the respective output powers of the V2X device 5.

[0060] Equation (9) is a constraint condition for the upper and lower limits of the charge amount of the battery of EV4. Equation (9) stipulates that the charge amount of the battery of EV4 is within the range of the upper and lower limit values of the charge amount.

[0061] Equation (10) is a constraint condition for the charge and discharge power amounts of the V2X device 5 when using EV4. Equation (10) is when using EV4 (time t vl (for example, 9 o'clock) to t vr (for example, 17 o'clock)), the charging power amount P vc (t) and the discharge power amount P vd (t) are stipulated to be zero.

[0062] Equation (11) is a constraint condition for the state of charge of the EV battery when the use of EV4 ends. Equation (11) stipulates that when the use of EV4 ends and it returns to the consumer 3, the state of charge is a predetermined value S v 0 is. Note that the predetermined value S v 0 may be set as several tens of percent of the upper limit value of the state of charge of the EV battery, or the actual value may be used if the actual value can be obtained.

[0063] Equation (12) is a constraint condition for the state of charge of the EV battery at the start of the use of EV4. Equation (12) stipulates that at the start time of the use of EV4, the state of charge becomes the full charge S v max .

[0064] Equations (13) to (16) are the same constraints as the constraint equations (6) to (9) for EV4 and the V2X device 5 on the battery 7, and the description thereof is omitted.

[0065] Figure 10 is a graph showing an example of a charge-discharge plan etc. of the EV battery according to this embodiment. In Figures 10(a) to (c), the horizontal axis represents the time t for two days. The vertical axis in Figure 10(a) represents the unit price of the volume-based charge (yen / kWh). The vertical axis in Figure 10(b) represents the amount of power (kWh) every 30 minutes. The vertical axis in Figure 10(c) represents the state of charge (kWh) of the EV battery.

[0066] The line graph in Figure 10(a) shows the unit price of the volume-based charge for the purchased power. In Figure 10(b), the curve B11 shows the actual value of the load power amount, and the curve B12 shows the predicted value of the load power amount. Also, 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. Also, the bar graph in Figure 10(b) shows the planned value of the charge-discharge power amount (a positive number indicates discharge, and a negative number indicates charge) by the V2X device 5 of EV4. Also, the curve C in Figure 10(c) shows the planned value of the state of charge of the battery of EV4.

[0067] Also, in this embodiment, when it is confirmed that the EV4 is connected to the V2X device 5 at the end of the EV usage on the first day (17:00), the processing after step S1 of the DER management processing in FIG. 8 is executed. For the power load prediction (curve B12) and PV power generation prediction (curve B22) from the end of the EV usage on the first day (17:00) to the second day, an EV4 charge / discharge plan is created for the time excluding the EV usage time on the second day (9:00 to 17:00), and it can be confirmed that the constraint of charging the battery capacity to the upper limit is satisfied at the start of EV usage (9:00).

[0068] Also, since the peak time zone of the power load on the second day is the EV usage time, the EV4 cannot discharge, and the basic electricity charge cannot be reduced. However, the remaining battery power in the EV battery in the time zone after the end of the EV usage on the first day (17:00 to 19:00) is discharged once when the unit price of the electricity consumption charge is high, and it can be confirmed that the consumption charge is reduced by charging from 22:00 to 1:00 when the unit price becomes low.

[0069] Furthermore, from 7:00 to 9:00 on the second day, it is predicted that the PV power generation predicted value (curve B22) will exceed the power load predicted value (curve B12), and PV surplus power will be generated. Therefore, in order to absorb this with the EV battery, instead of immediately fully charging the EV battery after 22:00 on the first day, a free capacity for absorbing PV surplus power is secured, and the EV battery is charged using the PV surplus power from 7:00 to 9:00. It can be confirmed that by effectively using the PV generated power, the purchased power from the power grid is reduced.

[0070] Note that for the consumer 3 who has the EV4 but does not have the battery 7, in particular, the electricity charge can be effectively reduced by such a method. Also, for the consumer 3 who has both the EV4 and the battery 7, for example, when the battery 7 is fully charged, the electricity charge can be effectively reduced, and when considering the power loss due to charging and discharging of the battery 7, the PV surplus power can be preferentially absorbed by the EV4 rather than the battery 7, so that the power can be utilized more efficiently.

[0071] Returning to FIG. 8, in S3, the charging / discharging plan creation unit 20 stores the created charging / discharging plan in the storage unit 14.

[0072] Next, the display control unit 16 displays the charging / discharging plan on a display device (not shown) (S4). A person in charge of the DR aggregator 2 or the like (user) can confirm the charging / discharging plan on the display device.

[0073] Next, the control unit 18 executes the charging / discharging plan by controlling the charging / discharging of the V2X device 5 according to the created charging / discharging plan (S5). Here, the processing of this flowchart ends.

[0074] In this embodiment, the V2X device 5 that performs charging and discharging of the EV4 uses the hybrid battery 24 that shares the solar power generation device 6, the storage battery 7, and the power conditioner. However, the present invention is not limited to such a hybrid battery, and each power conditioner may be installed separately or partially shared. Further, the V2X device 5 may be a charging device that only performs charging.

[0075] Also, the timing for creating the charging / discharging plan of the EV4 is not limited to the end of EV use, and may be other timings such as a determined time, monitoring of a load prediction error, a PV power generation prediction error, and when the error exceeds a determined threshold value.

[0076] Furthermore, in the charging / discharging plan of the EV battery created by the plan creation unit 20 of the present embodiment, the objective function of the optimization problem is the power cost represented by Equation (1), and the breakdown is the retail electricity charge consisting of the basic charge and the consumption-based charge. However, the power cost is not limited to such a retail electricity charge, and may be the power procurement cost of the retail electricity provider or the power purchase cost from the wholesale power exchange. Also, as the retail electricity charge, the basic charge unit price and the consumption-based charge unit price may be arbitrarily set. Furthermore, as the power procurement cost of the retail electricity provider, a power procurement cost at an arbitrary unit price may be used. Also, a combination of the retail electricity charge and the power procurement cost of the retail electricity provider may be used.

[0077] (Effect) In this way, according to the DER management device 12 of the present embodiment, based on the predicted load power amount and supply power amount for each time unit of the consumer having the EV4, and the usage information including the information on the usage time zone of the vehicle, a charge / discharge plan for the EV4 can be created. Therefore, the EV battery can be utilized as a DER according to the operation status of the EV4 without an information input operation for utilizing the EV4 as a DER from the EV side.

[0078] Also, under the constraint conditions shown in the above-described formulas (2) to (16), an optimal charge / discharge plan can be reliably and easily created by a method for calculating the optimal solution of the optimization model that minimizes the objective function of formula (1).

[0079] Further, in the prior art, the merits of supplying the power of the EV battery to the load side were not clear. In contrast, according to the DER management device 12 of the present embodiment, by supplying the power of the EV battery to the load side, it becomes possible to reduce the electricity bill of the consumer 3, reduce the power procurement cost of the retail electricity business operator, and perform load leveling of the power system through them, and the merits of supplying the power of the EV battery to the load side are clear.

[0080] The program executed by the DER management device 12 of the present embodiment is provided by being recorded on a computer-readable recording medium such as a CD-ROM, a flexible disk (FD), a CD-R, a DVD (Digital Versatile Disk) in an installable format or an executable format file. Further, the program may be configured to be stored on a computer connected to a network such as the Internet and downloaded 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 being pre-embedded in a ROM or the like.

[0081] The program has a module configuration including the above-described respective parts (input unit 13, acquisition unit 15, display control unit 16, prediction unit 19, plan creation unit 20, control unit 18). As actual hardware, the CPU (processor) reads the program from the storage medium and executes it, whereby the above respective parts are loaded onto the main memory device and are generated on the main memory device.

[0082] Although the 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 forms, 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 invention described in the claims and the equivalent scope thereof.

Explanation of Reference Numerals

[0083] 2…DR aggregator, 3…customer, 4…EV, 5…V2X device, 6…solar power generation device (PV), 7…storage battery, 8…customer, 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 unit, 21…electric energy meter, 22…in-house system, 23…load, 24…hybrid storage battery

Claims

1. A prediction unit that predicts the required power consumption and the supplied power for each time period in 30-minute units, which is a time unit, for a consumer having a vehicle battery as a distributed energy resource; An input unit that inputs usage information including information on the usage time period of the vehicle; A plan creation unit that creates a charge / discharge plan for the battery for each time period based on the required power consumption, the supplied power, and the usage information; and The usage information includes the usage start time and the usage end time of the vehicle, and the charge target value of the battery at the usage start time. The plan creation unit Using the required power consumption, the supplied power, the usage information, information on the per-unit charge rate of the electricity charge for each time period, and information on the range of the upper and lower limit values of the battery charge amount of the battery, So that the charge amount of the battery does not deviate from the range of the upper and lower limit values, and Under the constraint conditions that the charge amount of the battery becomes the charge target value at the usage start time, By calculating the optimal solution of an optimization model that minimizes an evaluation formula that is the sum of the basic charge and the per-unit charge of the power for the consumer, A distributed energy resource management device that creates the charge / discharge plan for the battery for each time period.

2. Further comprising an acquisition unit that acquires connection information, which is information on the connection state between the vehicle and a charge / discharge facility that is the target of charge / discharge of the vehicle; The plan creation unit creates a charge / discharge plan for the battery based on the required power consumption, the supplied power, the usage information, and the connection information. The distributed energy resource management device according to claim 1.

3. The consumer further comprises a solar power generation device and a stationary battery; The plan creation unit creates a charge / discharge plan for each of the battery and the stationary battery by calculating the optimal solution of an optimization model that minimizes a predetermined evaluation formula; The predetermined evaluation formula includes information on the charge / discharge efficiency of the battery and information on the charge / discharge efficiency of the stationary battery. The distributed energy resource management device according to claim 1 or claim 2.

4. A prediction step of predicting the required power consumption and the supplied power for each time period in 30-minute units, which is a time unit, for a consumer having a vehicle battery as a distributed energy resource; An input step of inputting usage information including information on the usage time period of the vehicle; A power generation planning step of creating a charge and discharge plan for the storage battery for each time period based on the required power amount, the supplied power amount, and the usage information; The usage information includes the usage start time and usage end time of the vehicle, and the charge target value of the storage battery at the usage start time; The power generation planning step is as follows: Using the required power amount, the supplied power amount, the usage information, information on the unit price per unit of electricity consumption for the electricity charge for each time period, and information on the range of upper and lower limit values of the stored power amount of the storage battery; So that the stored power amount of the storage battery does not deviate from the range of the upper and lower limit values, and Under the constraint conditions that the stored power amount of the storage battery reaches the charge target value at the usage start time, By calculating the optimal solution of an optimization model that minimizes an evaluation formula that is the sum of the basic charge and the consumption charge of the power for the consumer, A distributed energy resource management method for creating the charge and discharge plan for the storage battery for each time period.

5. A prediction step of predicting the required power amount and the supplied power amount for each time period in 30-minute time units, which are time units, for a consumer having a storage battery of a vehicle as a distributed energy resource; An input step of inputting usage information including information on the usage time period of the vehicle; A distributed energy resource management program for causing a computer to execute a power generation planning step of creating a charge and discharge plan for the storage battery for each time period based on the required power amount, the supplied power amount, and the usage information, The usage information includes the usage start time and usage end time of the vehicle, and the charge target value of the storage battery at the usage start time; The power generation planning step is as follows: Using the required power amount, the supplied power amount, the usage information, information on the unit price per unit of electricity consumption for the electricity charge for each time period, and information on the range of upper and lower limit values of the stored power amount of the storage battery; So that the stored power amount of the storage battery does not deviate from the range of the upper and lower limit values, and Under the constraint conditions that the stored power amount of the storage battery reaches the charge target value at the usage start time, By calculating the optimal solution of an optimization model that minimizes an evaluation formula that is the sum of the basic charge and the consumption charge of the power for the consumer, A distributed energy resource management program for creating the charge and discharge plan for the storage battery for each time period.

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