Resource management device, resource management method, and resource management program

Abstract

To output a utilization plan of resources which can achieve mutually different goals to be set according to a situation.SOLUTION: A resource management unit 60 outputs a utilization plan of an electric automobile 3 including an operation of saving resources in the electric automobile 3 and an operation of supplying power from the electric automobile 3. The resource management unit 60 comprises: a first information acquisition unit 64a which acquires supply information in which an amount and time of power to be supplied to a business office 2A are associated with each other; a second information acquisition unit 64b which acquires shortage period information showing a shortage period in which the amount of the power requested by the business office 2A cannot be satisfied; and an optimization calculation unit 65 which outputs the utilization plan. The optimization calculation unit 65 outputs the utilization plan using the shortage period as an evaluation index when the shortage period information shows that the shortage period occurs, and outputs the utilization plan using the supply information as the evaluation index when the shortage period information shows that the shortage period does not occur.SELECTED DRAWING: Figure 1

Description

Technical Field

[0001] The present invention relates to a resource management apparatus, a resource management method, and a resource management program.

Background Art

[0002] In recent years, even in crisis situations caused by various factors, the formulation of a Business Continuity Plan for continuing minimal operations has been progressing. For example, resources such as electricity are required for business continuity. Therefore, resources required for business continuity are stored. And in the event of an emergency where resources cannot be supplied, the stored resources are used to attempt to continue minimal operations.

[0003] Patent Document 1, Patent Document 2, and Non-Patent Document 1 disclose technologies for effectively using stored resources.

[0004] For example, Patent Document 1 discloses a technology related to the electric power stored in the battery of an automobile. The technology disclosed in Patent Document 1 charges the batteries of a plurality of automobiles during off-peak power demand at a business location or using late-night power. And the electric power stored in the charged batteries of the automobiles is discharged at the business location during peak power demand at the business location. Patent Document 2 discloses a control technology for a system including a solar power generation means and a power storage means. The technology disclosed in Patent Document 2 calculates a charge / discharge schedule indicating the transition of charge and discharge based on the predicted power of an electrical load and the predicted power generation amount of the solar power generation means using a predetermined evaluation index. And according to the charge / discharge schedule, the charge / discharge power of the power storage means during the prediction period is controlled. Non-Patent Document 1 discloses a technology related to the control of charging and discharging of the battery of an electric vehicle. The technology disclosed in Non-Patent Document 1 predicts the remaining battery level of an electric vehicle based on, for example, the predicted use of the vehicle, and controls the charging and discharging times through a charging facility and a controller. The technology disclosed in Non-Patent Document 1 utilizes an electric vehicle as an emergency power source for control during a disaster.

Prior Art Documents

Patent Document

[0005]

Patent Document 1

Patent Document 2

Non - Patent Document

[0006]

Non - Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0007] From the perspective of economy, it has been considered to use the resources stored for use in an emergency also in normal times when it is possible to receive the supply of necessary resources. In this case, in an emergency, a problem arises as to how to use the stored resources to continue the business. On the other hand, in normal times, it is possible to receive the supply of resources necessary for the continuation of the business in the first place. Therefore, different from an emergency, for example, another problem arises as to how to use the stored resources to reduce the costs required for the continuation of the business. That is, in terms of how to use the stored resources, the problems set for an emergency and the problems set for normal times are different from each other.

[0008] Therefore, an object of the present invention is to provide a resource management device, a resource management method, and a resource management program that can output a resource utilization plan capable of achieving different purposes set according to the situation.

Means for Solving the Problems

[0009] A resource management device according to one embodiment of the present invention is applied to a system including a resource demand unit that receives the supply of resources from a resource supply unit, and a resource storage unit that can store the resources supplied from the resource demand unit and can also supply the stored resources to the resource demand unit. The resource management device outputs a utilization plan for the resource storage unit including an operation of storing resources in the resource storage unit and an operation of supplying resources from the resource storage unit. The resource management device includes a first information acquisition unit that acquires supply information in which the amount and time of resources received by the resource demand unit are associated, a second information acquisition unit that acquires shortage period information indicating a shortage period in which the amount of resources requested by the resource demand unit cannot be satisfied, a supply information, a shortage period information, and a planning output unit that outputs a utilization plan obtained by solving an optimization problem of a function including an element that weights at least one of the supply information and the shortage period information. When the shortage period information indicates that a shortage period has occurred, the planning output unit outputs a utilization plan using the shortage period as an evaluation index, and when the shortage period information indicates that no shortage period has occurred, the planning output unit outputs a utilization plan using the supply information as an evaluation index.

[0010] Another form of the resource management method of the present invention is applied to a system including a resource demand unit that receives a supply of resources from a resource supply unit, and a resource storage unit that can store the resources supplied from the resource demand unit and can also supply the stored resources to the resource demand unit. The resource management method outputs a utilization plan for the resource storage unit, including an operation of storing resources in the resource storage unit and an operation of supplying resources from the resource storage unit. The resource management method obtains supply information in which the amount and time of the resources received by the resource demand unit are associated, obtains shortage period information indicating a shortage period that cannot satisfy the amount of resources required by the resource demand unit, and solves an optimization problem of a function including the supply information, the shortage period information, and an element that weights at least one of the supply information and the shortage period information, and outputs a utilization plan obtained thereby. When outputting the utilization plan, when the shortage period information indicates that a shortage period has occurred, a utilization plan using the shortage period as an evaluation index is output, and when the shortage period information indicates that a shortage period has not occurred, a utilization plan using the supply information as an evaluation index is output.

[0011] Another form of the resource management program according to the present invention is applied to a system including a resource demand unit that receives a supply of resources from a resource supply unit, and a resource storage unit that can store the resources supplied from the resource demand unit and can also supply the stored resources to the resource demand unit. The resource management program causes a computer to output a utilization plan for the resource storage unit, including an operation of storing resources in the resource storage unit and an operation of supplying resources from the resource storage unit. The resource management program causes the computer to obtain supply information in which the amount and time of resources received by the resource demand unit are associated, obtain shortage period information indicating a shortage period in which the amount of resources required by the resource demand unit cannot be satisfied, and output a utilization plan obtained by solving an optimization problem of a function including the supply information, the shortage period information, and an element for weighting at least one of the supply information and the shortage period information. When outputting the utilization plan, when the shortage period information indicates that a shortage period has occurred, a utilization plan using the shortage period as an evaluation index is output, and when the shortage period information indicates that no shortage period has occurred, a utilization plan using the supply information as an evaluation index is output.

[0012] In the above-described resource management apparatus, resource management method, and resource management program, a utilization plan for the resource storage unit is output by solving an optimization problem of a function including supply information, shortage period information, and an element for weighting at least one of the supply information and the shortage period information. The supply information has the amount and time of resources received by the resource demand unit associated therewith, indicating the demand for resources during normal times. The shortage period information has information indicating a shortage period in which the amount of resources required by the resource demand unit cannot be satisfied associated therewith, indicating a critical period during which the resources are insufficient and business continuity is not possible. In the function, at least one of the supply information and the shortage period information is weighted. Therefore, according to this weighting, it is possible to obtain a result in which the evaluation index during normal times and the evaluation index during a critical situation are automatically switched for the utilization plan obtained as a result of solving the optimization problem of the function. As a result, according to the resource management apparatus, resource management method, and resource management program, it is possible to output a utilization plan for resources that can achieve different objectives set according to the situation.

[0013] In one form of the resource management device, the shortage period information may include a discrete variable indicated by either a first value or a second value different from the first value. The first value may indicate a state in which the amount of resources required by the resource demand unit cannot be satisfied. The second value may indicate a state in which the amount of resources required by the resource demand unit can be satisfied. According to the discrete variable, an emergency state and a normal state can be treated discretely.

[0014] In one form of the resource management device, the element to be weighted may weight the shortage period information. By weighting the shortage period information associated with the emergency period, it is possible to output a usage plan of the resource storage unit that places importance on business continuity in the event of an emergency.

[0015] In one form of the resource management device, when the shortage period information indicates that a shortage period has occurred, the plan output unit may output a usage plan that minimizes the shortage period. It is possible to output a usage plan of the resource storage unit that can minimize the emergency period during which resources are insufficient.

[0016] In a resource management device of one form, the resource may be electric power. The resource supply unit may be an electric power system. The resource demand unit may be a consumer. The resource storage unit may be an electric vehicle having a storage battery capable of storing electric power and supplying the stored electric power. The first information acquisition unit may acquire, as supply information, electric power charge information including a basic charge determined by a contract electric power and a variable charge determined by the amount of electric power consumed by a consumer for each time period. The second information acquisition unit may generate shortage period information from information including the electric power requested by a consumer and the electric power supplied to the consumer. The planned output unit solves an optimization problem of a function under constraint conditions related to the number of electric vehicles capable of providing electric power to a consumer and the charge amount of the storage battery of the electric vehicle, and when the shortage period information indicates that a shortage period has occurred, outputs a utilization plan for minimizing the period during which electric power is insufficient, and when the shortage period information indicates that a shortage period has not occurred, outputs a utilization plan for minimizing the electric power charge information. In this case, the planned output unit solves an optimization problem of a function including the electric power charge information and the shortage period information under constraint conditions related to the state of the electric vehicle and the like. As a result, it is possible to output a utilization plan for an electric vehicle in which the shortage period during an emergency is minimized and the electric power charge during normal times is minimized.

Advantages of the Invention

[0017] According to the present invention, there are provided a resource management device, a resource management method, and a resource management program capable of outputting a utilization plan for resources that can achieve different purposes set according to the situation.

Brief Description of the Drawings

[0018]

Figure 1

Figure 2

Figure 3

Figure 4

Figure 5

Figure 6

Figure 7

Figure 8

Figure 9

Embodiments for Carrying Out the Invention

[0019] Hereinafter, an embodiment will be described with reference to the drawings. In the description of the drawings, the same elements or corresponding elements may be given the same reference numerals, and duplicate descriptions may be omitted.

[0020] [Charge-Discharge Planning System] Fig. 1 is a diagram schematically showing the configuration of the functional blocks of a charge-discharge planning system 4 including a resource management unit 60 which is a resource management device. The charge-discharge planning system 4 is used in an energy system 100 including a power supplier 1 (resource supply unit), an office 2A (resource demand unit, consumer), and an electric vehicle 3 (resource storage unit). The configuration including the energy system 100 and the charge-discharge planning system 4 is also referred to as a so-called energy management system 200.

[0021] The power supplier 1 is a so-called power grid. The power supplier 1 supplies power to the office 2A. And the power supplier 1 receives the consideration for the power supply from the office 2A. The power supplier 1 provides predetermined information to the charge-discharge planning system 4.

[0022] Business establishment 2A is a so-called consumer. Business establishment 2A may be, for example, a factory equipped with production facilities. Business establishment 2A receives power supply from power supplier 1 and continues its business. For example, when business establishment 2A is a factory, it receives power supply to operate the production facilities and manufactures products.

[0023] Electric vehicle 3 is equipped with a storage battery 3a capable of mutually switching power charging and discharging. Hereinafter, the charging operation of the storage battery 3a of electric vehicle 3 may be simply described as the charging operation of electric vehicle 3. Similarly, the discharging operation of the storage battery 3a of electric vehicle 3 may also be simply described as the discharging operation of electric vehicle 3. Electric vehicle 3 is electrically connected to business establishment 2A. This "electrically connected" means that electric vehicle 3 can receive power supply from business establishment 2A. Furthermore, "electrically connected" also means that electric vehicle 3 can supply power to business establishment 2A. The power exchange between electric vehicle 3 and business establishment 2A is controlled by charging and discharging stand 2B. Electric vehicle 3 is connected to charging and discharging stand 2B by wire or wirelessly. And electric vehicle 3 can also be disconnected from charging and discharging stand 2B. The disconnected electric vehicle 3 exhibits a function as so-called mobility.

[0024] Charging and discharging stand 2B receives power from business establishment 2A. Charging and discharging stand 2B converts the received power into a power mode that electric vehicle 3 can accept. That is, charging and discharging stand 2B has the function of a power conversion device such as an inverter. And charging and discharging stand 2B supplies the converted power to electric vehicle 3. Conversely, charging and discharging stand 2B can also receive power from electric vehicle 3. Charging and discharging stand 2B converts the received power into a power mode that business establishment 2A can accept. And charging and discharging stand 2B supplies the converted power to business establishment 2A. By controlling the operation of charging and discharging stand 2B, the charging operation and discharging operation in electric vehicle 3 can be switched.

[0025] The electric vehicle 3 is equipped with a storage battery 3a capable of charging and discharging operations. The charge-discharge planning system 4 generates schedules for the charging and discharging operations of the storage battery 3a. This schedule is referred to as the "charge-discharge schedule" (usage plan) in the following description. In the description of this embodiment, "charging" means charging the storage battery 3a, and "discharging" means outputting electric power from the storage battery 3a. The charge-discharge planning system 4 provides the generated charge-discharge schedule to the charge-discharge stand 2B. The charge-discharge stand 2B performs control to mutually switch between the charging operation and the discharging operation based on the received charge-discharge schedule.

[0026] The charge-discharge planning system 4 outputs a control signal for the charge-discharge stand 2B using several pieces of input information. The control signal is generated based on the charge-discharge schedule. The information sources of the input information are the power supplier 1, the energy management system operator M, and the electric vehicle user U. The charge-discharge planning system 4 receives information from these information sources via the first to fourth input terminals 4a to 4d. The first to fourth input terminals 4a to 4d correspond to the input device 105 described later. Details of the input information will be described later.

[0027] The charge-discharge planning system 4 is realized by any combination of hardware and / or software. Each function of the charge-discharge planning system 4 may be realized by directly and / or indirectly connecting two or more physically and / or logically separated devices and using these multiple devices.

[0028] FIG. 2 is a diagram showing an example of the hardware configuration of the charge / discharge planning system 4. As shown in FIG. 2, the charge / discharge planning system 4 may physically be configured as a computer device including a processor 101, a memory 102, a storage 103, a communication device 104, an input device 105, an output device 106, a bus 107, etc. Each function in the charge / discharge planning system 4 is realized by causing the processor 101 to perform calculations by loading a predetermined software (program) onto hardware such as the processor 101 and the memory 102, and controlling communication by the communication device 104 or reading and writing of data in the memory 102 and the storage 103.

[0029] The processor 101 controls the entire computer by operating an operating system, for example. The processor 101 may be constituted by a central processing unit (CPU). For example, various processes of the charge / discharge planning system 4 may be realized by the processor 101. Further, the processor 101 reads a program (program code), a software module, and data from the storage 103 or the communication device 104 into the memory 102 and executes various processes according to these. The function of executing various processes of the charge / discharge planning system 4 may be stored in the memory 102 and realized by a control program operating on the processor 101. Note that various processes in the charge / discharge planning system 4 may be executed by one processor 101, or may be executed simultaneously or sequentially by two or more processors 101.

[0030] The memory 102 is a computer-readable recording medium and may be constituted by at least one of, for example, a ROM (Read Only Memory), an EPROM (Erasable Programmable ROM), an EEPROM (Electrically Erasable Programmable ROM), a RAM (Random Access Memory), etc.

[0031] Storage 103 is a computer-readable recording medium. Storage 103 may be composed of, for example, at least one of a hard disk drive, a flexible disk, a magneto-optical disk, and an optical disk such as a CD-ROM (Compact Disc ROM). The above-described storage medium may be, for example, a database, a server, or other appropriate medium including a memory 102 and a storage 103, etc.

[0032] The communication device 104 is a device for performing communication between computers via a wired and / or wireless network. For example, a part of various processes of the charge / discharge planning system 4 may be realized by the communication device 104.

[0033] The input device 105 is an input device (e.g., a keyboard, etc.) that receives an external input. The output device 106 is an output device (e.g., a display, etc.) that performs an output to the outside.

[0034] Each of the above devices is connected by a bus 107 for communicating information. The bus 107 may be composed of a single bus or may be composed of different buses between devices.

[0035] Referring back to FIG. 1. The charge and discharge planning system 4 has a first input terminal 4a, a second input terminal 4b, a third input terminal 4c, a fourth input terminal 4d, and an output terminal 4e. The first to fourth input terminals 4a to 4d are physically the communication device 104 and / or the input device 105 described above. The first input terminal 4a receives information input from the power supplier 1. The information received by the first input terminal is the amount of power supplied by the power supplier 1 to the business office 2A. The second input terminal 4b receives information input from the business office 2A. The information received by the second input terminal 4b is the power demand of the business office 2A. Note that the information received by the second input terminal 4b may include the power for charging and discharging the electric vehicle 3. The third input terminal 4c receives information input from the energy management system operator M. The information received by the third input terminal 4c is, for example, a planning parameter. The fourth input terminal 4d receives information input from the user of the electric vehicle 3. The information received by the fourth input terminal 4d is, for example, the usage plan of the electric vehicle. The output terminal 4e outputs a control signal based on the usage plan to the charge and discharge stand 2B.

[0036] The charge and discharge planning system 4 generates a charge and discharge schedule by processing the information received from the first to fourth input terminals 4a to 4d by several functional components. The charge and discharge planning system 4 has, as functional components, a database unit 5, a resource management unit 60 (resource management device), a power demand prediction unit 20, and a charge and discharge control unit 80.

[0037] The database unit 5 holds some information required for generating the charge and discharge schedule of the storage battery 3a mounted on the electric vehicle 3. The database unit 5 is the storage 103 described above. Note that not all of the database unit 5 needs to be included in the charge and discharge planning system 4. Among the plurality of databases constituting the database unit 5, a part or all of them may be configured as components separate from the charge and discharge planning system 4.

[0038] The database unit 5 includes a power supply amount database 10, a workplace power demand database 30, a planning parameter database 40, an electric vehicle usage schedule database 50, and a charge / discharge schedule database 70. Note that the database unit 5 may omit some of these databases as necessary. Further, the database unit 5 may include a database other than these databases as necessary.

[0039] The power supply amount database 10 receives power supply amount information from the power supplier 1 via the first input terminal 4a. The power supply amount database 10 stores the received power supply amount information. The power supply amount information is information in which the amount of power supplied by the power supplier 1 to the workplace 2A is associated with time. The power supply amount database 10 may store predicted values of the power supply amount based on weather information and the like, and information related to power supply such as power outage information.

[0040] The workplace power demand database 30 receives workplace power demand prediction information from the power demand prediction unit 20. The workplace power demand database 30 stores the received workplace power demand prediction information. The workplace power demand prediction information is information that predicts the power that the workplace 2A will consume.

[0041] The planning parameter database 40 receives planning parameters input by the energy management system operator M via the third input terminal 4c. The planning parameter database 40 stores the input planning parameters. The planning parameters may include specific information as follows as numerical values. The number of electric vehicles 3. The upper limit value of the remaining charge of the electric vehicle 3. The lower limit value of the remaining charge of the electric vehicle 3. The upper limit value of the charging power of the electric vehicle 3. The lower limit value of the charging power of the electric vehicle 3. The upper limit value of the discharging power of the electric vehicle 3. The lower limit value of the discharging power of the electric vehicle 3. The number of charge / discharge stands 2B. The period of the charge / discharge schedule (usage plan). The unit time of the charge / discharge schedule. The power charge information borne by Office 2A. The maximum value of the power supplied by Power Supplier 1 to Office 2A.

[0042] The maximum value of the power supplied by Power Supplier 1 to Office 2A is, in other words, the contract power between Power Supplier 1 and Office 2A. The power charge information includes a basic charge and a consumption-based charge. The basic charge is the charge determined by the contract power. The consumption-based charge is the charge determined by the amount of power consumed per unit time by Office 2A. The power charge information may include the selling price of electricity when selling electricity to the outside.

[0043] The electric vehicle usage schedule database 50 receives the electric vehicle usage schedule information input by the electric vehicle user U via the third input terminal 4c. The electric vehicle usage schedule database 50 stores the input electric vehicle usage schedule information. The electric vehicle usage schedule information may include, for example, the following specific information as numerical values. The usage plan of electric vehicle 3. The time when the running of electric vehicle 3 starts. The time when the running of electric vehicle 3 ends.

[0044] The charge / discharge schedule database 70 receives the charge / discharge schedule from the resource management unit 60. The charge / discharge schedule database 70 stores the received charge / discharge schedule. The charge / discharge schedule database 70 outputs the charge / discharge schedule to the charge / discharge control unit 80.

[0045] The power demand prediction unit 20 receives information regarding power demand from Office 2A via the second input terminal 4b. The power demand prediction unit 20 predicts the power demand information. When predicting the power demand information, the power demand prediction unit 20 uses the actual values of the power consumed by Office 2A in the past and the actual values of the power currently consumed by Office 2A. The power demand prediction unit 20 outputs the predicted power demand information to the office power demand database 30.

[0046] The resource management unit 60 (resource management device) receives various data from the power supply amount database 10 and the like. The resource management unit 60 uses the received data to generate a charge / discharge schedule. The resource management unit 60 outputs the generated charge / discharge schedule to the charge / discharge schedule database 70. Details of the resource management unit 60 will be described later.

[0047] The charge / discharge control unit 80 receives the charge / discharge schedule from the charge / discharge schedule database 70. The charge / discharge control unit 80 uses the received charge / discharge schedule to generate a control signal for controlling the charge / discharge stand 2B. The charge / discharge control unit 80 outputs the control signal to the charge / discharge stand 2B via the output terminal 4e.

[0048] [Resource Management Device] The resource management unit 60 (resource management device) includes a data reading unit 61, a planning period setting unit 62, a constraint condition setting unit 63, an evaluation index setting unit 64, and an optimization calculation unit 65 (plan output unit). These functional components are realized by a predetermined program being executed by the processor 101.

[0049] [Data Reading Unit] The data reading unit 61 acquires information from the power supply amount database 10, the planned parameter database 40, and the electric vehicle usage schedule database 50. The power supply amount database 10, the planned parameter database 40, and the electric vehicle usage schedule database 50 are connected to the resource management unit 60 via a common bus. That is, the data reading unit 61 receives various types of information provided from the power supply amount database 10, the planned parameter database 40, and the electric vehicle usage schedule database 50 through the first data input 60a. Further, the data reading unit 61 acquires information from the office power demand database 30. The data reading unit 61 receives the information provided from the office power demand database 30 through the second data input 60b. The data reading unit 61 may temporarily hold the received various types of information. The data reading unit 61 outputs the read various types of information according to the requests of the planned period setting unit 62, the constraint condition setting unit 63, the evaluation index setting unit 64, and the optimization calculation unit 65.

[0050] [Planned Period Setting Unit] The planned period setting unit 62 sets the period of the charge and discharge schedule (planned period) as the first period. The planned period setting unit 62 uses planned parameters for setting the period of the charge and discharge schedule (planned period). The planned period setting unit 62 receives planned parameters from the planned parameter database 40 via the data reading unit 61.

[0051] The planned period setting unit 62 sets the parking time zone of the electric vehicle 3 as the second period. Specifically, the planned period setting unit 62 sets the time zone when the electric vehicle 3 can be charged and the time zone when the electric vehicle 3 can be discharged as the parking time zone. The planned period setting unit 62 uses the usage schedule of the electric vehicle 3 for setting the parking time zone. The planned period setting unit 62 receives the usage schedule of the electric vehicle 3 from the electric vehicle usage schedule database 50 via the data reading unit 61.

[0052] The charging / discharging schedule period and parking time zone set may be temporarily held by the planning period setting unit 62. Then, the planning period setting unit 62 outputs the charging / discharging schedule period and parking time zone set according to the request of the optimization calculation unit 65.

[0053] [Constraint condition setting unit] The constraint condition setting unit 63 sets a plurality of constraint conditions. The constraint condition setting unit 63 uses planning parameters for setting a plurality of constraint conditions. The constraint condition setting unit 63 receives the planning parameters from the planning parameter database 40 via the data reading unit 61. The constraint condition setting unit 63 may temporarily hold the plurality of constraint conditions set. Then, the constraint condition setting unit 63 outputs the plurality of constraint conditions set according to the request of the optimization calculation unit 65.

[0054] As a first constraint condition, the constraint condition setting unit 63 sets a constraint related to power supply and demand. The first constraint condition is, for example, a constraint related to the contract power. Equation (1) shows a constraint related to the maximum value (contract power) of the power supplied by the power supplier 1 to the business office 2A. Equation (1) indicates that, at each time, the net power demand (e net,k ) does not exceed the contract power (p net max ). Assuming that the decision variable representing the peak power value over the entire planning period is z, there is an obvious relationship (e ) <= z) between the net power demand e net,k and z. Since the peak power must not exceed the contract power, Equation (1) must hold. Note that the meanings of the variables included in the mathematical formulas shown in the following description are listed in the table of FIG. 3. net,k <=z) holds between and z. Since the peak power must not exceed the contract power, Equation (1) must hold. Note that the meanings of the variables included in the mathematical formulas shown in the following description are listed in the table of FIG. 3 as a list.

Equation

[0055] As a second constraint condition, the constraint condition setting unit 63 sets a constraint related to charging and discharging. The second constraint condition includes the number of charging / discharging stands 2B, the upper and lower limit values of the remaining charge amount, and the upper and lower limit values of the charging / discharging power. Hereinafter, as specific examples of the second constraint condition, four conditions are exemplified.

[0056] The first exemplification of the second constraint condition is a constraint regarding the number of electric vehicles 3 that can be charged and discharged simultaneously (see Equation (2)). Equation (2) indicates that the number of electric vehicles 3 being charged and discharged at each time does not exceed the number of units that can be executed simultaneously. The number of units that can be executed simultaneously is restricted by the number of charging and discharging stands 2B.

Number

[0057] The second exemplification of the second constraint condition is a constraint regarding the charging and discharging operations of the electric vehicle 3 (see Equation (3)). Equation (3) indicates that the electric vehicle 3 being charged and discharged at each time can execute only one of the operations of normal charging, normal discharging, rapid charging, and rapid discharging.

Number

[0058] The third exemplification of the second constraint condition is a constraint regarding the time period during which the electric vehicle 3 can be charged and discharged (see Equation (4)). Equation (4) indicates that charging and discharging are possible only at the times when charging and discharging are possible at each time (F v,k = 1). That is, in Equation (4), the times when charging and discharging are possible are shown as the variable (F v,k = 1), and the times when charging and discharging are not possible are shown as (F v,k = 0). The times when charging and discharging are possible are, for example, the times when the electric vehicle 3 is not being used as a mobility. Therefore, F v,k is generated from the information in the electric vehicle usage schedule database 50.

Number

[0059] The fourth exemplification of the second constraint condition is a constraint regarding the remaining charge of the electric vehicle 3 (see Equations (5) to (7)). First, the relationship between the remaining charge of the electric vehicle 3 and the charging power is shown by Equation (5).

Number

[0060] Next, the remaining charge of the electric vehicle 3 does not exceed the capacity of the storage battery at each time. The capacity of the storage battery may be regarded as the upper limit value of the remaining charge of the electric vehicle 3. This constraint is represented by Equation (6).

Equation

[0061] Next, the power charged and discharged to the electric vehicle 3 per unit time does not exceed the upper limit value of the charging and discharging power of the electric vehicle 3. This constraint is represented by Equation (7).

Equation

[0062] The constraint condition setting unit 63 sets a constraint regarding a discrete variable (o k ) representing a state of insufficient reserve power (see Equations (8) to (12)).

[0063] First, the generation of the shortage period information will be described. Equation (8) shows the net power demand (e net,k ) of the business office 2A. The net power demand (e net,k ) is a value obtained by adding the power of charging and discharging from the electric vehicle 3 to the power demand that the business office 2A can consume. The power demand that the business office 2A can consume is the smaller of the power demand (e k ) of the business office 2A and the minimum supply power (π k ) supplied from the power supplier 1 to the business office 2A. The minimum supply power (π k ) is included in the power supply information of the power supply database 10.

Equation

[0064] Equation (9) is the supply reserve power (ξ k) is the supply reserve capacity (ξ k ) is the minimum supply power (π k ) to the net electricity demand (e net,k ) to the reserve power target value (m k ) is subtracted from the target reserve value (m k ) is included in the planning parameters of the planning parameter database 40. k ) is set by the energy management system operator M.

number

[0065] Equation (10) is a discrete variable (o k ) constraints. k ) is the supply reserve capacity (ξ k When there is a shortage of discrete variables (o k ) is 1, otherwise (see equation (12)), the discrete variable (o k ) is 0. The constant (M0) is the supply reserve capacity (ξ k ) is a positive constant that is sufficiently larger than any possible value.

number

number

number

[0066] The shortage period information is the supply reserve capacity (ξ k ) is a discrete variable (o k ) including discrete variables (o k) is a variable indicated by either a first value or a second value different from the first value. The first value indicates a state where the amount of power supplied to Office 2A cannot satisfy the amount of power required by Office 2A. According to Equation (13), the first value is "1". The second value indicates a state where the amount of power supplied to Office 2A can satisfy the amount of power required by Office 2A. According to Equation (13), the second value is "0". That is, as an example, Equation (13) assigns 0 when the supply reserve power (ξ k ) is 0 or more (sufficient). Equation (13) assigns 1 when the supply reserve power (ξ k ) is less than 0 (insufficient). [Number]

[0067] [Evaluation Index Setting Unit] Here, the relationships among the objective function, evaluation indices, and weights (elements) are shown. These relationships can be simply shown, for example, as "Objective Function = Evaluation Index 1 × Weight 1 + Evaluation Index 2 × Weight 2 + Evaluation Index 3 × Weight 3 ···". That is, what is set for each evaluation index is the "weight". The sum of "Evaluation Index × Weight" is the objective function (in the terms of optimization). The evaluation index setting unit 64 sets the evaluation indices. The evaluation index setting unit 64 sets the weighting for each evaluation index and the objective function. The evaluation index setting unit 64 includes a first information acquisition unit 64a and a second information acquisition unit 64b. The evaluation index setting unit 64 adopts, as evaluation indices, the basic charge (f kw ), the consumption-based electricity charge (f kWh ), and the reserve power shortage time. Then, the evaluation index setting unit 64 sets the objective function based on these evaluation indices and the weighting.

[0068] The first information acquisition unit 64a acquires supply information in which the power and time received by Office 2A are associated. This supply information includes the basic charge (f kw ) and the consumption-based electricity charge (f kWh ).

[0069] The basic charge (f kw ), which is the first evaluation index, is determined by the peak power. The unit of the basic charge (f kw ) is "yen". The peak power is the maximum value of the power supplied by the power supplier 1 to the business office 2A. Also, it can be said that the peak power is the contract power exchanged between the power supplier 1 and the business office 2A. The basic charge (f kw ) is proportional to the peak power (z). For example, the monthly basic charge (f kw ) is shown by Equation (14). [Number]

[0070] The consumption-based power charge (f kWh ), which is the second evaluation index, is proportional to the amount of power used in the charge and discharge schedule (planning period). The unit of the consumption-based power charge (f kWh ) is also "yen". For example, the consumption-based power charge (f kWh ) is shown by Equation (15). Note that the second term on the right side (see Equation (16)) indicates that no charge is counted when there is a power shortage (o k = 1). [Number] [Number]

[0071] The second information acquisition unit 64b acquires shortage period information indicating a shortage period in which the power required by the business office 2A cannot be satisfied. The power required by the business office 2A refers to the power required to continue the business normally conducted by the business office 2A.

[0072] The reserve power shortage time (f outage )(shortage period information), which is the third evaluation index, is the count value of the steps in which the reserve power is insufficient. The unit of the reserve power shortage time (f outage ) is "hour". For example, the reserve power shortage time (f outage) is represented by formula (17).

Number

[0073] [Optimization calculation unit] The optimization calculation unit 65 executes an optimization calculation. The optimization calculation unit 65 solves an integer programming problem formulated as in formula (18). Formula (18) can be solved by a known optimal solution method. As a result, an optimal solution or a sub-optimal solution shown in real time can be obtained.

Number

[0074] When the supply reserve power (ξ k ) is 0 or more (sufficient), a charge-discharge schedule that minimizes the power cost (formulas (14) and (15)) is output. When the supply reserve power (ξ k ) is less than 0 (insufficient), a charge-discharge schedule that minimizes the reserve power shortage time (formula (17)) is output. The supply reserve power (ξ k ) changes due to the charging operation and discharging operation of the electric vehicle 3. According to formula (18), optimization considering the influence of the charging operation and discharging operation of the electric vehicle 3 can be performed. As a result, it can be said that solving formula (18) can obtain a solution with an autonomously switched evaluation index. The autonomous switching of the evaluation index is made possible by introducing a discrete variable (o k ) indicating a reserve power shortage state. The evaluation index in an emergency can be obtained by counting the number of times the discrete variable (o k = 1).

[0075] Here, the concept of autonomously switching the evaluation index will be explained with reference to FIG. 4. FIG. 4 shows a conceptual diagram of the calculation performed when solving the optimal solution of formula (18). FIG. 4(A) shows that the supply reserve power (ξ k ) is 0 or more, and the shortage period information (f outage) is a conceptual diagram when there is no shortage period. At this time, the electricity charge X included in the supply information becomes greater than 0, and the reserve power shortage time Y becomes 0 (X > 0, Y = 0). In this case, Equation (18) indicates the electricity charge X. Therefore, the optimization calculation unit 65 outputs a charge / discharge schedule that minimizes the electricity charge X using the electricity charge X as an evaluation index.

[0076] FIG. 4(B) shows the supply reserve power (ξ k ) becomes less than 0, and the shortage period information (f outage ) is a conceptual diagram when it indicates that a shortage period has occurred. At this time, the electricity charge X (yen) and the reserve power shortage time Y included in the supply information become greater than 0 (X > 0, Y > 0). In this case, since the reserve power shortage time Y is weighted by the element (ε), Equation (18) indicates a dominant value of the reserve power shortage time Y. Therefore, the optimization calculation unit 65 outputs a charge / discharge schedule that minimizes the reserve power shortage time Y using the reserve power shortage time Y as an evaluation index.

[0077] That is, the optimization calculation unit 65 sets a function including supply information, shortage period information, and an element that weights at least one of the supply information and the shortage period information. Equation (18) includes supply information, shortage period information, and an element that weights at least one of the supply information and the shortage period information. The optimization calculation unit 65 obtains a charge / discharge schedule by solving Equation (18). Equation (18) includes supply information (f kWh + f kW ), shortage period information (f outage ), and a weighting element (ε). Equations (1), (2), (3), (6), and (7) are considered as constraint conditions. The element (ε) is a parameter for weighting each term and is set by the energy management system operator M. The element (ε) weights the shortage period information (f outage ).

[0078] [Resource Management Method] FIG. 5 is a flowchart of a resource management method performed by the charge / discharge planning system 4.

[0079] First, the data reading unit 61 of the resource management unit 60 reads data (step S10). Next, the planning period setting unit 62 of the resource management unit 60 sets a charge and discharge schedule (step S20). Next, the constraint condition setting unit 63 of the resource management unit 60 sets a plurality of constraint conditions (step S30). Next, the evaluation index setting unit 64 of the resource management unit 60 sets each evaluation index, the weighting for each evaluation index, and an objective function composed of the evaluation index and the weighting (step S40). More specifically, in step S40, the first information acquisition unit 64a acquires supply information (step S41) and the second information acquisition unit 64b acquires shortage period information (step S42). For example, in step S41, an objective function (formula (14)) indicating the basic charge (f kw ) and an objective function (formula 15) indicating the variable-rate electricity charge (f kWh ) are acquired. In step S42, the reserve power shortage time (f outage ) (formula 17) is acquired. Next, the optimization calculation unit 65 of the resource management unit 60 solves the formula (18) formulated as an integer programming problem using a known optimal solution method (step S50).

[0080] Next, the resource management unit 60 outputs the result (charge and discharge schedule) of step S50 to the charge and discharge schedule database 70. The charge and discharge schedule database 70 stores the charge and discharge schedule received from the resource management unit 60 (step S60).

[0081] Then, the charge and discharge control unit 80 reads the charge and discharge schedule from the charge and discharge schedule database 70. The charge and discharge control unit 80 generates a control signal for the charge and discharge stand 2B using the charge and discharge schedule. Then, the charge and discharge control unit 80 outputs the control signal to the charge and discharge stand 2B. As a result, the charging operation and discharging operation of the electric vehicle 3 are controlled (step S70).

[0082] [Resource Management Program] A resource management program for causing a computer or computer system to function as a resource management unit 60 (resource management device) includes program codes for causing the computer system to function as a data reading unit 61, a planned period setting unit 62, a constraint condition setting unit 63, an evaluation index setting unit 64 (first information acquisition unit, second information acquisition unit), and an optimization calculation unit 65 (plan output unit). This resource management program may be provided after being fixedly recorded on a tangible recording medium such as a CD-ROM, DVD-ROM, or semiconductor memory. Alternatively, the resource management program may be provided via a communication network as a data signal superimposed on a carrier wave. The provided resource management program is stored in, for example, a storage 103. By the processor 101 reading and executing the resource management program from the storage 103, each of the above functional elements is realized.

[0083] [Operation and Effect] In the resource management device, resource management method, and resource management program, by solving an optimization problem of a function (Equation (18)) including supply information, shortage period information, and an element (ε) for weighting the shortage period information, a charge / discharge schedule (usage plan) of the storage battery 3a of the electric vehicle 3 is output. In the supply information, the power received by the business office 2A and the time are associated, indicating the power demand during normal times. In the shortage period information, information indicating a shortage period in which the amount of power required by the business office 2A cannot be satisfied is associated, indicating a critical period when power is insufficient and normal business operations cannot continue. In the function shown in Equation (18), the term indicating the shortage period information is weighted (ε). According to this weighting (ε), for the charge / discharge schedule obtained as a result of solving the optimization problem of Equation (18), it is possible to obtain a result in which the evaluation index of minimizing the power cost during normal times and the evaluation index of ensuring power for minimum business continuity during critical times are automatically switched. As a result, according to the resource management device, resource management method, and resource management program, it is possible to output a usage plan of resources that can achieve different purposes set according to the situation.

[0084] As shown in Equation (18), the element (ε) to be weighted weights the shortage period information. This means that when there are evaluation indicators during normal times and during emergencies, the evaluation indicators during emergencies are prioritized over the evaluation indicators during normal times. In other words, ensuring power for minimum business continuity is prioritized over minimizing power costs. That is, according to the weighting of the shortage period information, it is possible to output the charge and discharge schedule (usage plan) of the battery 3a of the electric vehicle 3 that places importance on business continuity during emergencies.

[0085] [Calculation Example] Figures 6(A) and 6(B) are tables summarizing the setting conditions of the calculation example. Figures 7 to 9 are graphs showing the results of the calculation example of the charge and discharge schedule obtained by solving the optimization problem of Equation (18). As shown in Figures 7 to 9, in the calculation example, a charge and discharge schedule for 72 hours (3 days) was generated. The number of electric vehicles 3 was set to 10. The unit time of the charge and discharge schedule was set to 0.5 hours. The number of charge and discharge stands 2B capable of normal charging and normal discharging was set to 3. The number of charge and discharge stands 2B capable of rapid charging was set to 1. The capacity of the battery 3a was set to 50 kWh. The upper limit value of the normal charge and discharge power of the electric vehicle 3 was set to 5 kW. The upper limit value of the rapid charge power of the electric vehicle 3 was set to 50 kW. The reserve power target value m k was set to 0.1. The element (ε) that weights the shortage period information was set to 10,000. The contract power was less than 500 kW, and the basic charge (f kw ) of the electricity charge was assumed to be 1,716 yen. The per-unit charge of the electricity charge was 20 yen and 52 sen per kWh during peak hours (13:00 - 16:00), 19 yen and 81 sen per kWh during daytime hours (8:00 - 13:00, 16:00 - 22:00), and 12 yen and 77 sen per kWh during nighttime hours (22:00 - 8:00).

[0086] Figure 7 shows the data on the power-related conditions and the data on the control results by the charge and discharge planning system 4. The vertical axis of Figure 7 indicates power. The horizontal axis of Figure 7 indicates elapsed time. Graph G7a shows the power demand (e net,k ) of the business office 2A. That is, graph G7a shows the power demand (e of Equation (1).k ) corresponds to. Graph G7b shows the net power demand (e net,k ) of Office 2A. That is, graph G7b corresponds to the net power demand (e net,k ) in Equation (1). This graph G7b is the result of the control by the charge / discharge planning system 4. Graph G7c shows the minimum supply power (π k ) supplied to Office 2A. That is, graph G7c corresponds to the minimum supply power (π k ) in Equation (9). Graph G7d shows the contract power (p net max ) of Office 2A. That is, graph G7d corresponds to the contract power (p net max ) in Equation (1).

[0087] As shown in graph G7a, the power demand (e k ) set as a condition is set to change periodically in units of one day (24 hours). Specifically, the power demand (e k ) is set such that the minimum value is 100 kW and the maximum value is 500 kW. Furthermore, the power demand (e k ) is set to take the minimum value near 0 hours, 24 hours, 48 hours, and 72 hours. The power demand (e k ) is set to take the maximum value near 12 hours, 36 hours, and 60 hours.

[0088] As shown in graph G7d, the contract power (p net max ) set as a condition is less than 500 kW. That is, it can be seen that the contract power is being observed so that the net power demand (e net,k ) shown in graph G7b does not exceed graph G7d.

[0089] As shown in graph G7c, the minimum supply power (π k ) set as a condition is 550 kW on the first day (0 hours to 24 hours) and on the third day (48 hours to 72 hours). On the first day and the third day, the minimum supply power (π k ) shown in graph G7c is the power demand (e shown in graph G7ak ) is greater than the minimum supply power (π k ) is 20 kW on the second day (24 hours to 48 hours). On the second day, the minimum supply power (π k ) is the electricity demand (e k ) is smaller than the power demand of the business establishment 2A for carrying out its normal business. In other words, the second day is the emergency period T2. In this case, the business establishment 2A cannot continue the business carried out on the first and third days.

[0090] Figure 8 shows the power supply reserve (ξ k The first vertical axis of FIG. 8 is a discrete variable (o k ) (see equation (13)). As mentioned above, the discrete variables (o k =0) indicates that there is no shortage of reserves. k =1) indicates a shortage of reserve capacity. The second vertical axis in FIG. 8 represents the supply reserve capacity (ξ k ) (see equation (9)). Graph G8a shows the discrete variables (o k ) in the graph G8a. In other words, the graph G8a shows the discrete variables (o k ) Graph G8b corresponds to the supply reserve capacity (ξ k ) in equation (9). k )

[0091] Referring to graph G8b, the electricity demand (e k During times when the supply reserve capacity (ξ k ) will increase. On the other hand, the electricity demand (e k During the time periods when the demand is high (around 12, 36, and 60 hours), the supply reserve capacity (ξ k ) was also found to decrease.

[0092] Referring to graph G8a, during normal periods T1A and T1B, it was found that the discrete variable (o k ) becomes 0. On the other hand, during the emergency period T2, it was found that the discrete variable (o k ) becomes 0 or 1. The resource management unit 60 outputs a charge-discharge schedule with the goal of minimizing the time of being in an emergency during the emergency period T2. Referring to graph G8b during the emergency period T2, the discrete variable (o k ) switches between 0 and 1 multiple times. That is, according to graph G8b, it was found that control is being performed to convert the time when supply is insufficient for demand (discrete variable (o k = 1)) into a time period when supply satisfies demand ((discrete variable (o k = 0)).

[0093] Figure 9 shows data related to the charge-discharge power of the electric vehicle 3. The first vertical axis of Figure 9 shows the discrete variable (o k ) (see Equation (13)) indicating the state of insufficient reserve power. The second vertical axis of Figure 9 shows the charge-discharge power of the electric vehicle 3. Graph G9a shows the discrete variable (o k ). That is, graph G9a corresponds to the discrete variable (o k ) in Equation (13). Graph G9b shows the charge-discharge power of the electric vehicle 3. That is, graph G9b corresponds to the second term on the right side of Equation (8). Graph G9b indicates a charging operation when the sign is positive and a discharging operation when the sign is negative.

[0094] Since what graph G9a shows is the same as graph G8a in Figure 8, the explanation is omitted.

[0095] Referring to graph G9b, it was found that the charging operation was being performed during the time periods with high supply power (near 0 hours, 24 hours, 48 hours, and 72 hours). On the other hand, it was found that the discharging operation was being performed during the time periods with low supply power (near 12 hours and 60 hours). According to the charging and discharging operations at such timings, the fluctuations in the power supplied from power supplier 1 to business office 2A tend to be suppressed. The suppression of the fluctuations in the power supplied from power supplier 1 to business office 2A contributes to the minimization of the power cost. Therefore, it was found that the resource management unit 60 can output a charging and discharging schedule with the minimization of the power cost as an index during normal periods T1A and T1B.

[0096] Also, referring to graph G9b, it was found that a continuous discharging operation was being performed during the emergency period T2. By this discharging operation, it was found that the time periods with insufficient reserve power (discrete variable (o k =1)) can be switched to the time periods with sufficient reserve power (discrete variable (o k =0)). That is, it was found that the resource management unit 60 can output a charging and discharging schedule with the minimization of the emergency time as an index during the emergency period T2.

[0097] Based on the results of the above calculation examples, when the shortage period information indicates that a shortage period has occurred (corresponding to the second day of the above calculation example: emergency period T2), it was confirmed that the resource management unit 60 can output a charging and discharging schedule that minimizes the period of power shortage. Also, when the shortage period information indicates that no shortage period has occurred (corresponding to the first day and the third day of the above calculation example: normal periods T1A and T1B), it was confirmed that the resource management unit 60 can output a charging and discharging schedule that minimizes the power charge.

[0098] As described above, the present invention has been described in detail based on its embodiments. However, the present invention is not limited to the above embodiments. The present invention can be variously modified without departing from its gist.

[0099] In the above embodiment, during normal times, the electricity charge was used as an evaluation index, and a charge-discharge schedule that minimizes the electricity charge was output. However, the evaluation index during normal times is not limited to the electricity charge. The imbalance amount of supply and demand between the minimum supply power (π k ) and the electricity demand (e net,k ) may be used as an evaluation index, and a charge-discharge schedule that minimizes the imbalance amount of supply and demand may be output. The charge rate of the electric vehicle 3 may be used as an evaluation index, and a charge-discharge schedule that maximizes the charge rate may be output. The evaluation index may be any value for which a predetermined value (maximum value or minimum value) can be specified.

[0100] In the above embodiment, an example in which the evaluation index switches between normal times and emergency times was described. However, the constraint conditions may also be switched. Equation (19) shows an example in which the constraint condition for the number of simultaneously executable electric vehicles 3 to be charged and discharged switches. According to Equation (19), the number of charge-discharge stands 2B (C1 n ) during emergency times and the number of charge-discharge stands 2B (C1 n ) during normal times automatically switch. In this case, for example, a charge-discharge schedule that discharges more electric vehicles 3 during emergency times than during normal times can be output using a portable discharge stand or the like. [Number]

[0101] In the above embodiment, as an example, the case where the resource to be managed by the charge-discharge planning system 4 is electricity was described. However, the resource is not limited to electricity. The resource may include all energy such as gas and fuel, for example. The resource may include all things that require leveling during normal times and require ensuring the supply amount during emergency times. The resource may include water, daily necessities, and space (logistics warehouse, parking lot, or road), for example. Also, the resource storage unit is not limited to the electric vehicle 3. When the resource is electricity, the resource storage unit may be a fuel cell vehicle.

[0102] For example, as an example of the resources managed by the charge-discharge planning system 4, products such as daily necessities can be cited. In this case, when compared with the above-described embodiment, the electric power from the power supplier 1 can be read as the products shipped from the factory, the business office 2A can be read as the consumer, and the electric vehicle 3 can be read as the warehouse. While adjusting the demand and supply (leveling) using the warehouse and ensuring the backup of products (backup is particularly necessary in the case of necessities), an operation plan can be created considering the use of the warehouse for other purposes such as storing other products. In this case, the resource storage unit is the space that can accommodate the inventory of products stored in a warehouse or the like. The resource storage unit can be used not only for storing the products to be managed but also for storing other products. The resource demand unit is the consumer. As the normal evaluation index, leveling of the inventory quantity of products between warehouses may be adopted. According to the leveling of the inventory quantity of products between warehouses, the transportation efficiency and the operation rate can be improved. As the index used for switching between an emergency and normal times, the supply reserve capacity may be adopted. The supply reserve capacity of a product is the value obtained by subtracting from the quantity of the product supplied to the consumer a value obtained by considering the reserve capacity target value from the demand for the product required by the consumer. As the evaluation index in an emergency, the shortage time of the supply reserve capacity may be adopted.

[0103] For another example of the resources managed by the charge and discharge planning system 4, water can be cited. In this case, compared with the above-described embodiment, the power supplier 1 may be read as a river, and the business office 2A may be read as water demand such as domestic water or industrial water. In this case, the resource storage unit is a reservoir, a dam, or an outer moat. The resource storage unit can be used not only for the stored water to be managed, but also for normal land use assuming a scale such as the outer moat in the Tokyo metropolitan area. Examples of normal land use include tourism, events, parking lots, and use as a square. The resource demand unit is a company or a local government. As the normal evaluation index, the leveling of the river flow may be adopted. As the normal constraint condition, the flow limit of the river may be adopted. As the index used for switching between an emergency and normal times, the water resource supply reserve capacity of the river may be adopted. As the evaluation index in an emergency, the shortage time of the water supply reserve capacity may be adopted. According to the charge and discharge planning system 4, it is possible to make an operation plan when using a reservoir for land use for purposes different from water storage, such as adjusting the water volume of a river and ensuring a water source in the event of a disaster such as a fire. In other words, according to the charge and discharge planning system 4, it is possible to make an operation plan for a reservoir when using it for leveling the water volume of a river and securing water as a backup resource.

[0104] The above-described technology is not only related to the economic efficiency, business continuity, and business profit of the energy system. The above-described technology is also related to the economic energy supply and environmental load reduction for the whole society. Therefore, this technology contributes to Goal 7, "Ensure access for all people to affordable, reliable, and sustainable modern energy," and Goal 13, "Take urgent measures to mitigate climate change and its impacts," of the Sustainable Development Goals (SDGs) led by the United Nations.

Explanation of Signs

[0105] 1 Power supplier (resource supply unit) 2A Business office (resource demand unit, consumer) 2B Charge and discharge stand 3 Electric vehicle (resource storage unit) 4 Charge and discharge planning system 10 Power supply quantity database 20 Electric power demand prediction unit 30 Office electric power demand database 40 Planning parameter database 50 Electric vehicle usage plan database 60 Resource management department (resource management device) 61 Data reading unit 62 Planning period setting unit 63 Constraint condition setting unit 64 Evaluation index setting unit 64a First information acquisition unit 64b Second information acquisition unit 65 Optimization calculation unit (plan output unit) 70 Charge and discharge schedule database 80 Charge and discharge control unit M Energy management system operator U Electric vehicle user

Claims

1. A resource management device that is applied to a system including a resource demand unit that receives supply of resources from a resource supply unit and a resource storage unit that can store the resources supplied from the resource supply unit and can also supply the stored resources to the resource demand unit, and outputs a utilization plan for the resource storage unit including an operation of storing the resources in the resource storage unit and an operation of supplying the resources from the resource storage unit, comprising: a first information acquisition unit that acquires supply information in which the amount and time of the resources received by the resource demand unit are associated; a second information acquisition unit that acquires shortage period information indicating a shortage period in a state where the amount of the resources required by the resource demand unit cannot be satisfied; a plan output unit that outputs the utilization plan obtained by solving an optimization problem of a function including the supply information, the shortage period information, and an element that weights at least one of the supply information and the shortage period information; the shortage period information has a discrete variable including a first value indicating a state where the amount of the resources required by the resource demand unit cannot be satisfied and a second value indicating a state where the amount of the resources required by the resource demand unit can be satisfied; the first value is a numerical value of 1 or more; the second value is a numerical value of 0 or more and less than 1; the plan output unit: when the discrete variable of the shortage period information is a numerical value of 1 or more indicating that the shortage period has occurred, outputs the utilization plan with the shortage period with relatively increased weight as an evaluation index as a result of weighting the shortage period by the discrete variable of 1 or more; when the discrete variable of the shortage period information is a numerical value of 0 or more and less than 1 indicating that the shortage period has not occurred, outputs the utilization plan with the supply information with relatively increased weight as an evaluation index as a result of weighting the shortage period by the discrete variable of 0 or more and less than 1. A resource management device.

2. The resource management device according to claim 1, wherein the weighting element weights the shortage period information.

3. The resource management device according to claim 1 or 2, wherein the plan output unit outputs the utilization plan that minimizes the shortage period when the shortage period information indicates that the shortage period has occurred.

4. The resource is electric power, the resource supply unit is an electric power system, the resource demand unit is a consumer. The resource storage unit is an electric vehicle having a storage battery capable of charging the electric power and discharging the charged electric power, The first information acquisition unit acquires, as the supply information, power charge information including a basic charge determined by a contract power and a variable charge determined by an amount of power consumed by the consumer for each time period, The second information acquisition unit generates the shortage period information from information including the power requested by the consumer and the power supplied to the consumer, The plan output unit solves an optimization problem of the function under constraint conditions related to the number of electric vehicles capable of providing the power to the consumer and the charge amount of the storage battery of the electric vehicle, When the shortage period information indicates that the shortage period is occurring, outputs the usage plan that minimizes the period during which the power is insufficient, The resource management device according to any one of claims 1 to 3, wherein when the shortage period information indicates that the shortage period is not occurring, outputs the usage plan that minimizes the power charge information.

5. Applied to a system including a resource demand unit that receives a supply of a resource from a resource supply unit and a resource storage unit that can store the resource supplied from the resource supply unit and can also supply the stored resource to the resource demand unit, a resource management method for outputting a usage plan of the resource storage unit including an operation of storing the resource in the resource storage unit and an operation of supplying the resource from the resource storage unit, acquiring supply information in which the amount and time of the resource received by the resource demand unit are associated, acquiring shortage period information indicating a shortage period in a state where the amount of the resource requested by the resource demand unit cannot be satisfied, outputting the usage plan obtained by solving an optimization problem of a function including the supply information, the shortage period information, and an element that weights at least one of the supply information and the shortage period information, The shortage period information has a discrete variable including a first value indicating a state where the amount of the resource requested by the resource demand unit cannot be satisfied and a second value indicating a state where the amount of the resource requested by the resource demand unit can be satisfied, The first value is a numerical value of 1 or more, The second value is a numerical value of 0 or more and less than 1, in outputting the usage plan, When the discrete variable of the shortage period information is one or more numerical values indicating that the shortage period has occurred, as a result of weighting the shortage period by the discrete variable which is one or more numerical values, the utilization plan using the relatively weighted shortage period as an evaluation index is output. When the discrete variable of the shortage period information is a numerical value greater than or equal to 0 and less than 1 indicating that the shortage period has not occurred, as a result of weighting the supply information by the discrete variable which is a numerical value greater than or equal to 0 and less than 1, the utilization plan using the relatively weighted supply information as an evaluation index is output. A resource management method.

6. A resource management program that causes a computer to execute outputting a utilization plan of a resource storage unit including an operation of storing the resource in the resource storage unit and an operation of supplying the resource from the resource storage unit, the utilization plan being applied to a system including a resource demand unit that receives supply of a resource from a resource supply unit and a resource storage unit that can store the resource supplied from the resource supply unit and can also supply the stored resource to the resource demand unit, the program including: acquiring supply information in which the amount and time of the resource received by the resource demand unit are associated; acquiring shortage period information indicating a shortage period in a state where the amount of the resource required by the resource demand unit cannot be satisfied; outputting the utilization plan obtained by solving an optimization problem of a function including the supply information, the shortage period information, and an element that weights at least one of the supply information and the shortage period information, and causing the computer to execute; the shortage period information has a discrete variable including a first value indicating a state where the amount of the resource required by the resource demand unit cannot be satisfied and a second value indicating a state where the amount of the resource required by the resource demand unit can be satisfied; the first value is one or more numerical values; the second value is a numerical value greater than or equal to 0 and less than 1; in outputting the utilization plan, when the discrete variable of the shortage period information is one or more numerical values indicating that the shortage period has occurred, as a result of weighting the shortage period by the discrete variable which is one or more numerical values, the utilization plan using the relatively weighted shortage period as an evaluation index is output. When the discrete variable of the shortage period information is a numerical value greater than or equal to 0 and less than 1 indicating that the shortage period has not occurred, as a result of weighting the shortage period by the discrete variable that is a numerical value greater than or equal to 0 and less than 1, a resource management program that outputs the utilization plan using, as an evaluation index, the supply information with a relatively increased weight.

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