Power difference compensation device, power difference compensation method, and program

Abstract

According to one embodiment, a power difference compensation device compensates for the difference between the amount of power supplied by renewable energy and the power demanded by a load. The power difference compensation device has a compensation pattern calculation unit and a long-term fluctuation compensation unit. The compensation pattern calculation unit calculates a compensation pattern that is a combination of a resource that is for compensating for the difference caused by long-term fluctuation in supply and demand and control details for the resource. The long-term fluctuation compensation unit controls the resource on the basis of the compensation pattern and thereby compensates for the difference caused by long-term fluctuation in supply and demand.

Description

[Technical Field]

[0001] The present invention relates to a power difference compensation device, a power difference compensation method, and a program. [Background technology]

[0002] Generally, a difference can occur between the amount of electricity generated and the amount of electricity demanded, and a mechanism for compensating for this difference is necessary. In particular, because the amount of electricity generated by renewable energy is affected by weather conditions, etc., this mechanism is extremely important for the widespread use of renewable energy. A conventional technique has been proposed in which the difference between the amount of electricity generated by renewable energy and the amount of demand therefor is divided into a difference due to short-term supply and demand fluctuations and a difference due to long-term supply and demand fluctuations, and the difference due to short-term supply and demand fluctuations is compensated for using a storage battery, and the difference due to long-term supply and demand fluctuations is compensated for using a hydrogen storage system (for example, Non-Patent Document 1). In addition to this, many other techniques have been proposed for compensating for differences due to long-term demand fluctuations, and one such technique is known in which compensation is performed using a storage battery installed in an EV (Electric Vehicle). [Prior art documents] [Non-patent literature]

[0003] [Non-Patent Document 1] Tsuda, Osamu, Nagasaki, Akira, Miyagi, Daisuke. "Electricity and Hydrogen Combined Energy Storage System Suitable for Large-Capacity Emergency Power Supply and Effective Use of Renewable Energy," Cryogenic Engineering 55 (1): 28-35, 2020. Summary of the Invention [Problem to be solved by the invention]

[0004] However, with conventional technology, there are cases where it is not possible to compensate for the difference due to long-term fluctuations in supply and demand. For example, the conventional technology described in Non-Patent Document 1 above requires predicting the remaining capacity of the hydrogen storage system, but if this prediction is incorrect, it may be impossible to compensate for the difference depending on the state of the storage equipment. Similarly, for example, when compensating using a storage battery installed in an EV, it is necessary to predict the remaining capacity of the storage battery, and if this prediction is incorrect, it may be impossible to compensate for the difference.

[0005] As such, conventional technologies require predicting the remaining capacity of resources such as hydrogen storage systems and storage batteries to compensate for differences due to long-term fluctuations in demand, and if the prediction is incorrect, it may become impossible to compensate for the difference.

[0006] An embodiment of the present invention has been made in view of the above points, and aims to realize power difference compensation related to renewable energy. [Means for solving the problem]

[0007] In order to achieve the above-mentioned object, one embodiment of a power difference compensation device is a power difference compensation device that compensates for the difference between the amount of power supplied by renewable energy and the amount of power demanded by a load, and includes: a compensation pattern calculation unit configured to calculate a combination of resources for compensating for the difference due to long-term supply and demand fluctuations and control details for the resources as a compensation pattern; and a long-term fluctuation compensation unit configured to compensate for the difference due to long-term supply and demand fluctuations by controlling the resources based on the compensation pattern. [Effects of the Invention]

[0008] It is possible to realize power differential compensation for renewable energy. [Brief explanation of the drawings]

[0009] [Figure 1] 1 is a diagram illustrating an example of the overall configuration of a power difference compensation system according to an embodiment of the present invention. [Figure 2] 1 is a diagram illustrating an example of a hardware configuration of a power difference compensation device according to an embodiment of the present invention. [Figure 3] 1 is a diagram illustrating an example of a functional configuration of a power difference compensation device according to an embodiment of the present invention. [Figure 4] 10 is a flowchart showing an example of the flow of an execution control process of a power difference compensation process according to the present embodiment. [Figure 5] 10 is a flowchart illustrating an example of the flow of a power difference compensation process according to the present embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0010] An embodiment of the present invention will be described below. In this embodiment, a power difference compensation system 1 will be described that can compensate for the difference between the amount of power generated by renewable energy and the amount of power demanded therefrom (hereinafter also referred to as the power difference), targeting a base such as a data center. Hereinafter, a base that is the target of compensation for the power difference will be referred to as a "target base." The amount of power generated may be referred to as a "supply amount" or "power supply amount," and the amount of demand may be referred to as a "power consumption amount" or "power demand," etc.

[0011] Here, the power difference includes a difference due to short-term supply and demand fluctuations and a difference due to long-term supply and demand fluctuations. Hereinafter, compensating for a difference due to short-term supply and demand fluctuations will be referred to as "short-term fluctuation compensation," and compensating for a difference due to long-term supply and demand fluctuations will be referred to as "long-term fluctuation compensation." The power difference compensation system 1 according to this embodiment achieves short-term fluctuation compensation by charging and discharging a storage battery, and also achieves long-term fluctuation compensation by moving loads (e.g., ICT (Information and Communication Technology) loads such as virtual machines (VMs) and containers) present at the target site, charging and discharging a storage battery, and using grid power (also called commercial power). This eliminates the need for storage facilities and the like used for long-term fluctuation compensation, making it possible to prevent, for example, situations in which long-term fluctuation compensation is not possible due to the condition of the storage facilities.

[0012] <Overall configuration of power difference compensation system 1> An example of the overall configuration of a power difference compensation system 1 according to this embodiment is shown in Fig. 1. As shown in Fig. 1, the power difference compensation system 1 according to this embodiment includes a power difference compensation apparatus 10 and a plurality of difference compensation resources 20. The power difference compensation apparatus 10 and each difference compensation resource 20 are communicably connected via an arbitrary communication network 30. In the example shown in Fig. 1, the difference compensation resources 20 include a difference compensation resource 201 which is a VM or a container, a difference compensation resource 202 which is a storage battery, and a difference compensation resource 203 which is grid power.

[0013] The power differential compensation device 10 is a computer or computer system that realizes short-term fluctuation compensation and long-term fluctuation compensation. At this time, the power differential compensation device 10 realizes short-term fluctuation compensation by charging and discharging a storage battery (differential compensation resource 202), and realizes long-term fluctuation compensation by moving loads such as VMs or containers (differential compensation resource 201), charging and discharging the storage battery (differential compensation resource 202), and using grid power (differential compensation resource 203).

[0014] The difference compensation resources 20 are various resources (loads or power sources) used for compensating for differences in power. In Fig. 1, the difference compensation resources 20 include a difference compensation resource 201 which is a VM or a container on a physical machine installed at the target site, a difference compensation resource 202 which is a storage battery installed at the target site, and a difference compensation resource 203 which is grid power available to the target site. However, these are merely examples, and various other loads or power sources may also be present as the difference compensation resources 20.

[0015] It is possible that there are multiple differential compensation resources 20. In particular, since there are generally multiple VMs or containers, there may be multiple differential compensation resources 201. For example, if the total number of VMs and containers is M, there are differential compensation resources 201-1, ..., differential compensation resource 201-M. Similarly, if there are multiple storage batteries, there will be multiple differential compensation resources 202, and if multiple grid power sources are available, there will be multiple differential compensation resources 203.

[0016] <Hardware Configuration of Power Difference Compensation Device 10> An example of the hardware configuration of the power difference compensation apparatus 10 according to this embodiment is shown in Fig. 2. As shown in Fig. 2, the power difference compensation apparatus 10 according to this embodiment includes an input device 101, a display device 102, an external I / F 103, a communication I / F 104, a processor 105, and a memory device 106. These pieces of hardware are connected to each other via a bus 107 so as to be able to communicate with each other.

[0017] The input device 101 is, for example, a keyboard, a mouse, a touch panel, various physical buttons, etc. The display device 102 is, for example, a display, a display panel, etc. Note that the power difference compensation device 10 does not necessarily have to include at least one of the input device 101 and the display device 102, for example.

[0018] The external I / F 103 is an interface with an external device such as a recording medium 103a. Examples of the recording medium 103a include a CD (Compact Disc), a DVD (Digital Versatile Disk), an SD memory card (Secure Digital memory card), and a USB (Universal Serial Bus) memory card.

[0019] The communication I / F 104 is an interface for connecting the power difference compensation apparatus 10 to a communication network. The processor 105 is, for example, one of various arithmetic units such as a CPU (Central Processing Unit) or a GPU (Graphics Processing Unit). The memory device 106 is, for example, one of various storage devices such as a HDD (Hard Disk Drive), an SSD (Solid State Drive), a RAM (Random Access Memory), a ROM (Read Only Memory), and a flash memory.

[0020] 2 is an example, and the power difference compensation apparatus 10 may have other hardware configurations. For example, the power difference compensation apparatus 10 may have multiple processors 105 and multiple memory devices 106, or may have various types of hardware other than the hardware shown in the figure.

[0021] <Functional Configuration of Power Difference Compensation Device 10> An example of the functional configuration of the power differential compensation apparatus 10 according to this embodiment is shown in Fig. 3. As shown in Fig. 3, the power differential compensation apparatus 10 according to this embodiment has a schedule management unit 201 and a power differential compensation processing unit 202. These units are realized, for example, by processing in which one or more programs installed in the power differential compensation apparatus 10 are executed by the processor 105. The power differential compensation apparatus 10 according to this embodiment also has a storage unit 203. The storage unit 203 is realized, for example, by the memory device 106. Note that the storage unit 203 may also be realized, for example, by a storage device (such as a database server) connected to the power differential compensation apparatus 10 via the communication network 30.

[0022] The schedule management unit 201 controls the execution of the power difference compensation process according to a predetermined schedule.

[0023] The power difference compensation processing unit 202 executes power difference compensation processing to realize short-term fluctuation compensation and long-term fluctuation compensation. Here, the power difference compensation processing unit 202 includes a power generation amount record acquisition unit 211, a power consumption amount record acquisition unit 212, a power generation amount prediction unit 213, a power consumption prediction unit 214, a compensation amount prediction unit 215, a short-term fluctuation compensation unit 216, a long-term compensation pattern calculation unit 217, and a long-term fluctuation compensation unit 218.

[0024] The power generation amount result acquisition unit 211 acquires the actual value of the current amount of power generated by renewable energy (i.e., the current amount of power supplied to the target base). The power generation amount result acquisition unit 211 may acquire the actual value of the current amount of power generated, for example, from power generation facilities that generate power by renewable energy (hereinafter also referred to as renewable energy power generation facilities) or facilities that manage them. Hereinafter, the actual value of the amount of power generated by renewable energy power generation facility i at time t is referred to as P i (t), and let the sum of these with respect to i be P(t).

[0025] The power consumption amount result acquisition unit 212 acquires the actual value of the current power consumption of a load (for example, a VM or a container present at the target base) that consumes power (i.e., the current power demand at the target base). The power consumption amount result acquisition unit 212 may acquire the actual value of the current power consumption from, for example, load equipment or equipment that manages the load equipment. Hereinafter, the actual value of the power consumption of load equipment j at time t is referred to as Q j (t), and the sum of these with respect to j is Q(t).

[0026] The power generation amount prediction unit 213 predicts the power generation amount of each renewable energy power generation facility i that supplies power to the target base using weather information, and creates power generation amount prediction information from these predicted values. Here, for example, the current time is t=t0, and the prediction period is t=t1, . . . , t N , the predicted value of the power generation amount of the renewable energy power generation facility i at time t is p i If the sum of these for (t), i is p(t), the power generation forecast information is {p(t1),...,p(t N )} where t0 <t1<···<tN is.

[0027] Weather information is the predicted value of information such as solar radiation and wind speed for a certain period in the future at each predetermined point (or each region, etc.). For example, the solar radiation at point (x, y) at time t is a(t, x, y), the wind speed is b(t, x, y), and the period for which the solar radiation and wind speed are predicted is t=t1,...,t N If the set of points to be forecasted is Z, the weather information is {a(t,x,y),b(t,x,y)|t∈{t1,...,t N}, (x, y)∈Z}. However, the amount of solar radiation and wind speed are just examples, and the weather information may also include predicted values ​​of other information such as temperature, flow rate of rivers and seawater, etc. The power generation amount prediction unit 213 may acquire weather information, for example, from an external weather system. The power generation amount prediction unit 213 may also build a power generation amount prediction model in advance using, for example, past weather information and actual values ​​of power generation amount at that time with known technology (for example, machine learning technology), and predict the power generation amount of each renewable energy power generation facility i based on the model and currently acquired weather information to create power generation amount prediction information.

[0028] The power consumption prediction unit 214 creates power consumption prediction information using past power consumption prediction information and actual values ​​of power consumption up to the present. Here, for example, the current time is t=t0, and the prediction period is t=t1, . . . , t N , the predicted value of the power consumption of load equipment j at the target site at time t is q j If the sum of these for (t), j is q(t), the power consumption forecast information is {q(t1),...,q(t N )}. The power consumption prediction unit 214 may, for example, construct a power consumption prediction model by using past power consumption prediction information and actual values ​​of power consumption up to the present with a known technique (for example, time series prediction, etc.), and predict the power consumption of each load facility j using the model to create power consumption prediction information.

[0029] The compensation amount prediction unit 215 generates compensation amount prediction information using the power generation amount prediction information generated by the power generation amount prediction unit 213 and the power consumption amount prediction information generated by the power consumption amount prediction unit 214. Here, for example, the power generation amount prediction information is expressed as {p(t1), . . . , p(t N )}, and the power consumption forecast information is {q(t1),···,q(t N )}, the compensation amount prediction information is {Δ(t1), ,Δ(t N )} where Δ(t i ):=p(t i )-q(t i ) are these Δ(t i ) at time t i is the power difference at the target site that needs to be compensated.

[0030] The short-term fluctuation compensator 216 compensates for the power difference due to short-term supply and demand fluctuations among the power difference included in the power generation amount prediction information created by the compensation amount predictor 215 by charging and discharging the storage battery (difference compensation resource 202). Here, the power difference due to short-term supply and demand fluctuations refers to, for example, the power difference from the current time to about 10 seconds later. For example, Δt:=t i+1 -t i If is 1 second, then Δ(t1) to Δ(t I ) (where I is approximately 10 to 19) is the power difference due to short-term supply and demand fluctuations. i )>0 indicates that the supply of electricity exceeds the demand, and short-term fluctuation compensation is performed by charging the storage battery. i )<0 indicates that the demand for electricity exceeds the supply, and short-term fluctuation compensation is performed by discharging the storage battery.

[0031] Note that, for example, with regard to a power difference in an ultra-short period (for example, from 0 seconds to several seconds), there is also a mechanism as an existing technology in which compensation is performed automatically by a storage battery (difference compensation resource 202). Therefore, with regard to a power difference compensation in an ultra-short period, compensation for the power difference may be performed by this mechanism.

[0032] The long-term compensation pattern calculation unit 217 calculates a compensation pattern for compensating for the power difference due to long-term supply-demand fluctuations among the power differences included in the power generation amount prediction information created by the compensation amount prediction unit 215. Here, the power difference due to long-term supply-demand fluctuations refers to, for example, the power difference up to about several tens of minutes to 1 hour excluding the power difference due to short-term supply-demand fluctuations. For example, t N is a time several tens of minutes to 1 hour ahead from the current time, and when the power difference from Δ(t1) to Δ(t I ) is the power difference due to short-term supply-demand fluctuations, the power difference from Δ(t I+1 ) to Δ(t N )(or, for a certain N' < N, the power difference from Δ(t I+1 ) to Δ(t N' )) is the power difference due to long-term supply-demand fluctuations. Also, the compensation pattern is a combination of one or more difference compensation resources 20 and their control contents that minimize a predetermined cost function.

[0033] The long-term fluctuation compensation unit 218 compensates for the power difference due to long-term supply-demand fluctuations by controlling the difference compensation resource 20 according to the compensation pattern calculated by the long-term compensation pattern calculation unit 217.

[0034] The storage unit 203 stores various information. Examples of such information include, for example, information indicating the schedule used by the schedule management unit 201, the time series data {P i (t)} and {P(t)} of the actual power generation amount values acquired by the actual power generation amount acquisition unit 211, the time series data {Q i (t)} and {Q(t)} of the actual power consumption amount values acquired by the actual power consumption amount acquisition unit 212, the power generation amount prediction information {p(t)} created by the power generation amount prediction unit​​​<Flow of execution control process of power difference compensation process> The execution control process of the power difference compensation process according to this embodiment will be described with reference to FIG.

[0036] The schedule management unit 201 determines whether or not to execute the power difference compensation process according to a predetermined schedule (step S101). Here, the schedule indicates the timing for executing the power difference compensation process, such as when a predetermined time has elapsed since the power difference compensation process was last executed. In this case, the schedule management unit 201 determines to execute the power difference compensation process when a predetermined time has elapsed since the power difference compensation process was last executed, and does not determine to execute the power difference compensation process otherwise. Note that the schedule may be, in addition to when a predetermined time has elapsed since the power difference compensation process was last executed, when a predetermined date and time has arrived, for example.

[0037] If it is determined in step S102 above that the power difference compensation process is to be executed, schedule management unit 201 requests power difference compensation processing unit 202 to execute the power difference compensation process (step S102). As a result, power difference compensation processing unit 202 executes the power difference compensation process. Details of the power difference compensation process will be described later.

[0038] If it is not determined in step S102 that the power difference compensation process should be executed, the schedule management unit 201 waits until it is time to execute the power difference compensation process.

[0039] The schedule management unit 201 determines whether to terminate the execution control process of the power difference compensation process (step S103). Here, the determination to terminate the execution control process of the power difference compensation process may be made, for example, when the execution control process is temporarily terminated due to maintenance of the power difference compensation device 10.

[0040] If it is not determined in step S103 above that the execution control process of the power difference compensation process is to be ended, the schedule management unit 201 returns to step S101, whereby the power difference compensation process is repeatedly executed according to the schedule.

[0041] <Power difference compensation process flow> The power difference compensation process according to this embodiment will be described with reference to FIG.

[0042] The power generation amount result acquisition unit 211 of the power difference compensation processing unit 202 acquires P i The power generation amount result acquisition unit 211 acquires P(t) and P(t) (step S201). Note that the power generation amount result acquisition unit 211 may acquire only P(t).

[0043] The power consumption amount actual value acquisition unit 212 of the power difference compensation processing unit 202 acquires the power consumption amount actual value Q at the current time t=t0. j The power consumption result acquisition unit 212 acquires Q(t) and Q(t) (step S202). Note that the power consumption result acquisition unit 212 may acquire only Q(t).

[0044] The short-term fluctuation compensation unit 216 of the power difference compensation processing unit 202 compensates for the power difference due to short-term supply and demand fluctuations in the compensation amount prediction information {Δ(t)} created in the previous power difference compensation process by charging and discharging the storage battery (difference compensation resource 202) (step S203).

[0045] The power generation amount prediction unit 213 of the power difference compensation processing unit 202 predicts the power generation amount of each renewable energy power generation facility i that supplies power to the target base using weather information, and generates power generation amount prediction information {p(t);t=t1, . . . , t N}(However, t0 <t1<···<t N , [t1,t N ] is a prediction period) (step S204). The power generation amount prediction unit 213 obtains the latest weather information at the current time t=t0, and then uses this weather information to generate the power generation amount prediction information {p(t);t=t1, . . . , t N} may be created.

[0046] The power consumption prediction unit 214 of the power difference compensation processing unit 202 calculates the power consumption prediction information {q(t);t=t1, . . . , t} using the power consumption prediction information {q(t);t∈T} created in the past power difference compensation processing and the actual power consumption value {Q(t)∈T} up to the present. N} is created (step S205). Here, T is a period used to create the power consumption prediction information, and is expressed as T=[t0-ΔT, t0] using a predetermined time width ΔT, for example.

[0047] The compensation amount prediction unit 215 of the power difference compensation processing unit 202 calculates the power generation amount prediction information {p(t); t=t1, . . . , t N} and the power consumption prediction information {q(t);t=t1, . . . , t N}, the compensation amount prediction information {Δ(t);t=t1, ,t N} is created (step S206). i ):=p(t i )-q(t i ) and at time t i represents the power difference (supply and demand difference) at the target base that needs to be compensated.

[0048] The long-term compensation pattern calculation unit 217 of the power difference compensation processing unit 202 calculates the power generation amount prediction information {Δ(t); t=t1, . . . , t N}, a compensation pattern for compensating for the power difference due to long-term supply and demand fluctuations is calculated (step S207). Here, the long-term compensation pattern calculation unit 217 calculates a combination of one or more difference compensation resources 20 and their control contents that minimizes the value of a predetermined cost function as a compensation pattern. Note that the control contents of the difference compensation resource 201 (VM, container) include "movement of the difference compensation resource 201", etc. Furthermore, the control contents of the difference compensation resource 202 (storage battery) include "charging", "discharging", etc. The control contents of the difference compensation resource 203 (grid power) include "power purchase", "power sale", etc.

[0049] For example, if the cost required to move a load (VM, container) present at a target base to another base is C1, the cost required to charge and discharge the storage battery is C2, and the cost required to use grid power is C3, the long-term compensation pattern calculation unit 217 calculates a compensation pattern that is capable of long-term fluctuation compensation and that minimizes the cost function C=C(C1, C2, C3).

[0050] Specifically, for example, assume that the power difference {Δ(t)} due to long-term supply and demand fluctuations is Δ(t)<0 for each time t (or many times t). In this case, since the long-term demand exceeds the supply, it is necessary to reduce the load by moving one or more differential compensation resources 201 (VMs, containers) to another base, discharge the differential compensation resources 202 (storage batteries), or purchase power from the differential compensation resources 203 (grid power). Therefore, a combination of differential compensation resources 20 that minimizes the value of the cost function C determined from the costs C1, C2, and C3 required for these operations is calculated as a compensation pattern. Note that a compensation pattern in which surplus power is generated as a result of moving one or more differential compensation resources 201 (VMs, containers) to another base, and the differential compensation resources 202 (storage batteries) are charged is also possible.

[0051] On the other hand, for example, suppose the power difference {Δ(t)} due to long-term supply and demand fluctuations is Δ(t)>0 for each time t (or many times t). In this case, since the long-term supply exceeds the demand, basically, it is sufficient to charge the difference compensation resource 202 (storage battery), but it is also possible to move VMs or containers from other bases to the target base, or sell surplus power to the grid. For this reason, the combination of difference compensation resources 20 that minimizes the value of the cost function C, determined from the costs C1, C2, and C3 required for these, may be calculated as the compensation pattern.

[0052] Various functions can be considered as the cost function C=C(C1, C2, C3), for example, C(C1, C2, C3)=C1+C2+C3. Other possible functions include C(C1, C2, C3)=αC1+βC2+γC3 (where 0<α, β, γ≦1).

[0053] Here, various items can be considered for calculating cost C1, and examples thereof include one or more of the following: the amount of change in communication quality due to load movement, the time required for load movement, the amount of power compensated for due to load movement, and the impact on SLA (Service Level Agreement).Similarly, various items can be considered for calculating cost C2, and examples thereof include one or more of the following: the deterioration of battery performance due to an increase in the number of charge / discharge cycles, the amount of discharge used for compensation, and the amount of charge to the storage battery charged by compensation.Similarly, various items can be considered for calculating cost C3, and examples thereof include one or more of the following: the price for purchasing power from the grid, the price for selling power to the grid, and the degree of decline in the utilization rate of renewable energy.

[0054] Furthermore, when calculating each cost, the values ​​of the above items may be converted into some kind of index value or evaluation value, and the sum or product of these index values ​​or evaluation values ​​may be calculated as the cost. In this case, each index value or evaluation value may be normalized, for example, to have a uniform scale, as necessary.

[0055] There are various possible index values ​​or evaluation values, including, for example, the following (1) to (4).

[0056] (1) Power generation costs Cost C i The value of each item (i=1,2,3) is converted into an amount, and the sum of these amounts is the cost C i In this case, the compensation pattern with the lowest power generation cost is calculated.

[0057] (2)CO2 emissions Cost C i The value of each item (i=1, 2, 3) is converted into CO2 emissions, and the sum of those CO2 emissions is calculated as the cost C i In this case, the compensation pattern with the lowest CO2 emissions is calculated.

[0058] (3) Renewable energy usage rate Cost C i The value of each item (i=1, 2, 3) is converted into a value that indicates the impact on increasing the renewable energy usage rate, and the sum of these values ​​is calculated as the cost C i In this case, the compensation pattern that has the smallest impact on increasing the renewable energy usage rate is calculated.

[0059] (4) Service stability Regarding the cost C1, the value of each item is converted into a value (e.g., monetary amount) indicating the impact on the service quality, etc., and the sum of these values ​​is taken as the cost C1. In this case, a compensation pattern with minimal impact on the service can be calculated.

[0060] However, it goes without saying that the above (1) to (4) are merely examples, and the index values ​​or evaluation values ​​are not limited to these. Furthermore, for example, it is also possible to calculate an index value or evaluation value by appropriately combining a plurality of index values ​​or evaluation values, or to calculate an index value or evaluation value by a weighted sum of a plurality of index values ​​or evaluation values.

[0061] Following step S207, the long-term variation compensation unit 218 of the power difference compensation processing unit 202 controls the difference compensation resource 20 according to the control content based on the difference compensation resource 20 included in the compensation pattern calculated in step S207 (step S208), thereby achieving long-term variation compensation.

[0062] For example, if the compensation pattern represents the migration of two VMs to another base A, the long-term variation compensation unit 218 performs control to migrate these two VMs (e.g., difference compensation resource 201-1 and difference compensation resource 201-2) to base A. The base to which the VMs are to be migrated may be determined in advance, may be specified as control content, or may be determined based on some criteria (e.g., the base with the least power demand or the fewest number of VMs and containers may be determined as the migration destination).

[0063] As another example, if the compensation pattern represents moving two VMs to another base A and purchasing a certain amount of power from the grid 30 minutes later, the long-term variation compensation unit 218 performs control to move these two VMs (e.g., differential compensation resource 201-1 and differential compensation resource 201-2) to base A and also performs control to purchase that amount of power from the grid (differential compensation resource 203) 30 minutes later.

[0064] <Summary> As described above, the power difference compensation system 1 according to this embodiment can compensate for the difference between the amount of power generated by renewable energy and its demand, by compensating for the difference due to short-term fluctuations in supply and demand and the difference due to long-term fluctuations in supply and demand. Moreover, the power difference compensation system 1 according to this embodiment can compensate for the difference due to long-term fluctuations in supply and demand by moving ICT loads such as VMs and containers to control the power demand of the ICT loads. This eliminates the need for equipment (such as a hydrogen storage system as described in Non-Patent Document 1) to compensate for the difference due to long-term fluctuations, thereby preventing situations such as the inability to compensate for long-term fluctuations due to the state of the equipment.

[0065] The present invention is not limited to the above-described specifically disclosed embodiments, and various modifications, changes, and combinations with known technologies are possible without departing from the scope of the claims. [Explanation of symbols]

[0066] 10 Power differential compensator 20 Differential Compensation Resources 30 Communication Network 101 Input Device 102 Display device 103 External I / F 103a Recording media 104 Communication I / F 105 processors 106 Memory Device 107 Bus 201 Schedule Management Department 202 Power difference compensation processing unit 203 Storage section 211 Power Generation Amount Acquisition Department 212 Power consumption record acquisition unit 213 Power Generation Forecasting Unit 214 Power Consumption Prediction Unit 215 Compensation amount prediction unit 216 Short-Term Fluctuation Compensation Department 217 Long-term compensation pattern calculation unit 218 Long-Term Fluctuation Compensation Department

Claims

1. A power difference compensation device that compensates for the difference between the amount of power supplied by renewable energy and the amount of power demanded by a load, a compensation pattern calculation unit configured to calculate, as a compensation pattern, a combination of one or more resources from among a plurality of types of resources and control details for the resources, for compensating for the difference due to long-term fluctuations in supply and demand among the difference; a long-term fluctuation compensation unit configured to compensate for a difference due to the long-term supply and demand fluctuation by controlling the resource based on the compensation pattern; and A power differential compensation device in which the resources include an ICT load, which is the load, and the control content for the load includes moving the ICT load.

2. The power difference compensation device according to claim 1 , wherein the resources include one or more of the load, a storage battery, and grid power.

3. The compensation pattern calculation unit 3. The power differential compensation device according to claim 1, wherein the compensation pattern is calculated to minimize a cost function value determined by a cost predetermined for the resource and a control content for the resource.

4. 3. The power difference compensation device according to claim 2, wherein the control contents for the load include movement of the load, the control contents for the storage battery include charging or discharging of power, and the control contents for the grid power include purchasing or selling of power.

5. the cost of the load movement is determined from at least one of the following items: an amount of change in communication quality due to the load movement, a time required due to the load movement, an amount of power compensated due to the load movement, and an impact on the SLA due to the load movement; The cost for charging or discharging the storage battery is determined based on at least one of the following items: deterioration of battery performance due to an increase in the number of times the storage battery is charged or discharged; and the amount of power consumed by the charging or discharging.

5. The power difference compensation device according to claim 4, wherein the cost of purchasing or selling the grid power is determined from at least one of the following items: a fee for purchasing power from the grid power or selling power to the grid power; and a degree of decline in the utilization rate of the renewable energy.

6. The power differential compensation device according to claim 3 , wherein the cost function value represents any one of a power generation cost, a CO 2 emission amount, a utilization rate of the renewable energy, and a stability of a service provided by the load.

7. A computer that compensates for the difference between the amount of power supplied by renewable energy and the amount of power demanded by the load, a compensation pattern calculation step of calculating a compensation pattern that is a combination of one or more resources from among a plurality of types of resources and control details for the resources, in order to compensate for the difference due to long-term fluctuations in supply and demand; a long-term fluctuation compensation procedure for compensating for a difference due to the long-term supply and demand fluctuation by controlling the resource based on the compensation pattern; Run A power differential compensation method in which the resources include an ICT load, which is the load, and the control content for the load includes moving the ICT load.

8. A program that causes a computer to function as the power difference compensation device according to any one of claims 1 to 6.

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