Power supply system and power supply method

Abstract

To implement power supply with reduced environmental impact at demand units that are more segmentalized than supply points serving as power supply destinations.SOLUTION: Based on a power usage status of a demand unit to which electric power is distributed from a power supply point to which power is supplied from a power distribution facility, a demand predicting unit predicts a predicted demand amount as a prediction value of power consumption of the demand unit by using a demand predicting model at a prediction time after the current time point. A supply control unit controls the operation of a plurality of power sources including at least one adjustable power source that can adjust a power supply amount according to an operating environment so as to satisfy a target total supply amount and a target supply amount of low environmental load power at the prediction time. A target setting unit sets the target total supply amount and the target supply amount of low environmental load power so as to satisfy the predicted demand amount that sets the ratio of low environmental load power to a predetermined target rate or more in the demand unit.SELECTED DRAWING: Figure 1

Description

Technical Field

[0001] Embodiments of the present application relate to a power supply system, a power supply method, and a program.

Background Art

[0002] In recent years, due to the emergence of climate change, reducing environmental impact has become an important issue. In business activities as well, reducing environmental impact is often publicized in order to form a good corporate image. In addition, the spread of renewable energy power generation systems such as solar power generation systems and wind power generation systems, which are energy sources that do not emit carbon dioxide (CO2), a major factor in global warming, is being promoted.

[0003] For example, Patent Document 1 describes a demand client decarbonization management system that enables the amount of clean power, which does not involve carbon dioxide emissions, among the power purchased by the demand side of power, to be grasped. Patent Document 2 describes a supply-demand management system that manages power supply and demand in a customer area that receives power supply from a plurality of power generation plants, taking into account the characteristics of the supplied power.

[0004] In addition, in order to achieve global power decarbonization, the international initiative "24 / 7 Carbon Free Energy" (hereinafter, "24 / 7 CFE") has been proposed under the leadership of the United Nations. 24 / 7 CFE refers to supplying 100% carbon-free power in accordance with the power consumption for 24 hours a day, 365 days a year. The number of companies participating in 24 / 7 CFE is also increasing.

Prior Art Documents

Patent Documents

[0005]

Patent Document 1

Patent Document 2

Summary of the Invention

Problems to be Solved by the Invention

[0006] However, the supply amount of renewable energy significantly depends on the environment such as the weather. Therefore, it is not realistic to always cover all power demands with renewable energy. For example, at night or during rainy days, power generation by solar power generation cannot be expected, so it is necessary to supplement the insufficient power by other methods. The present application has been made in view of the above problems, and aims to provide a power supply system, a power supply method, and a program for realizing power supply with reduced environmental load in a demand unit where power is distributed from a power supply point that is a power supply destination of power from distribution facilities.

Means for Solving the Problems

[0007] An information processing system according to a first aspect includes: a demand prediction unit that predicts a predicted demand amount, which is a predicted value of the power consumption of the demand unit at a prediction time later than the current time, using a demand prediction model based on the power usage status of the demand unit where power is distributed from a power supply point to which power is supplied from distribution facilities; a supply control unit that controls the operation of a plurality of power sources including at least one adjustable power source capable of adjusting the power supply amount according to the operating environment so as to satisfy the target total supply amount and the target supply amount of low environmental load power at the prediction time; and a target setting unit that sets the target total supply amount and the target supply amount of low environmental load power so as to satisfy the predicted demand amount in which the ratio of low environmental load power in the demand unit is equal to or higher than a predetermined target ratio.

[0008] The information processing method according to the second aspect is a power supply method in a power supply system. A demand prediction unit predicts a predicted demand amount, which is a predicted value of the power consumption of the demand unit at a prediction time after the current time, using a demand prediction model based on the power usage status of the demand unit to which power is distributed from a power supply point where power is supplied from the distribution facility. A supply control step in which a supply control unit controls the operation of a plurality of power sources including at least one adjustable power source capable of adjusting the power supply amount according to the operating environment so as to satisfy the target total supply amount and the target supply amount of low environmental load power at the prediction time. A power supply method having a target setting step in which a target setting unit sets the target total supply amount and the target supply amount of low environmental load power so as to satisfy the predicted demand amount in which the ratio of low environmental load power in the demand unit is equal to or higher than a predetermined target ratio.

Effect of the Invention

[0009] According to the present application, it is possible to realize power supply with reduced environmental load in a supply unit that is more subdivided than the supply point that is the destination of power supply.

Brief Description of the Drawings

[0010]

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Embodiments for Carrying Out the Invention

[0011] <First Embodiment> Embodiments of the present application will be described with reference to the drawings. First, the power supply system PS according to the first embodiment will be described. FIG. 1 is a schematic block diagram showing a functional configuration example of the power supply system PS according to the present embodiment. The power supply system PS includes a measurement unit 12, a terminal device 14, a demand prediction unit 22, a power supply management system 30, a power supply system 40, a transmission and distribution system 50, and a branch point 62.

[0012] Power is supplied to each power supply point from the power distribution facilities that make up the power transmission and distribution system 50. Generally, there are a large number of power supply points in the power supply system PS. In the present embodiment, based on the power usage situation in the demand unit 64 to which power is distributed from the branch point 62 downstream of the power supply point, a predicted value of the power consumption in the demand unit 64 is predicted as the predicted power consumption using a demand prediction model. The operation of the power sources provided in the power supply system 40 is controlled according to the operating environment so as to satisfy the total power supply amount from the power supply system PS and the target total supply amount of low environmental load power. Also, the total supply amount and the target total supply amount are set so as to ensure the predicted power consumption in which the ratio of low environmental load power in the demand unit 64 is equal to or higher than a predetermined target ratio. Power is distributed to the power supply point for the demand unit 64.

[0013] In the following description, the case where the environmental load related to power supply is mainly the emission of carbon dioxide CO2 (carbon dioxide) into the atmosphere is mainly considered. In that case, the CFE (Carbon Free Energy) rate is used as the ratio of low environmental load power among the supplied power. In the present application, a power source that does not involve the emission of carbon dioxide during power supply may be referred to as a "CFE power source". A power source that involves the emission of carbon dioxide during power supply may be referred to as a "non-CFE power source". The power supplied from a CFE power source may be referred to as "CFE power".

[0014] In the power supply system PS, the measurement unit 12, the terminal device 14, the demand prediction unit 22, and the power supply management system 30 can be regarded as an information processing system mainly responsible for information processing related to the power supply to the demand unit 64 downstream of the power supply point.

[0015] The power supply management system 30 includes a target setting unit 32 and a supply control unit 34. The power supply management system 30 can be regarded as a supply-demand control system that controls the power supply from the power supply system 40 and uses the power supply point by the power transmission and distribution system 50 as the supply destination. The power supply management system 30 determines the power supply to the power supply point so as to include the power supply to the demand unit 64. The power supply system 40 and the power transmission and distribution system 50 can be regarded as a power system that supplies power to a power supply point.

[0016] The measurement unit 12 measures the power consumption in the demand unit 64. The demand unit 64 is a power consumption unit downstream of the branch point 62 installed at the power supply point. The demand unit 64 can be, for example, a part of the space of the facility that forms the power supply point. Specific examples of the demand unit 64 will be described later. The measurement unit 12 transmits the measured actual value of the power consumption to the terminal device 14 and the demand prediction unit 22 by wire or wirelessly as the actual power consumption. The measurement unit 12 is, for example, an electricity meter (a smart meter may be applicable). Specific examples of the measurement unit 12 will be described later.

[0017] The terminal device 14 collects information related to the power usage status in the demand unit 64. The information collected includes, in addition to the actual power consumption notified from the measurement unit 12, part or all of the activity information and facility utilization information in the demand unit 64. The terminal device 14 notifies the collected information to the demand prediction unit 22. The power usage status will be described later. The terminal device 14 constitutes a display screen representing power supply information. The terminal device 14 causes the configured display screen to be displayed on the display unit. The power supply information includes the power supply amount to the demand unit (which may be referred to as "supply power" in this application) and the CFE rate.

[0018] The demand prediction unit 22 uses a learned demand prediction model to predict, as the predicted demand amount, the predicted value of the power consumption amount in the demand unit 64 at a prediction time later than the current time based on the power usage status in the demand unit 64. The demand prediction unit 22 notifies the predicted predicted demand amount to the target setting unit 32. The demand prediction unit 22 can configure an input value indicating the power usage status including the actual power consumption notified from the measurement unit 12, the activity information, utilization information notified from the terminal device 14, and part or all of the weather information notified via the communication network from a weather information site (not shown).

[0019] The target setting unit 32 sets the target total power supply amount from the power system 40 and the target power supply amount of the CFE power at the prediction time so as to satisfy the predicted demand amount such that the CFE rate for each demand unit is equal to or higher than a predetermined target CFE rate (which may be referred to as the "target CFE rate" in this application). The target setting unit 32 determines, as the target total power supply amount, a value that exceeds the sum of the predicted demand amounts for each power supply point within the service area of the power supply system PS. The target setting unit 32 calculates, for example, the total power supply amount by multiplying the sum of the predicted demand amounts by a predetermined coefficient greater than 1. The target setting unit 32 sets, as the target power supply amount of the CFE power, a value that exceeds the sum of the demand amounts of the CFE power among the predicted demand amounts for each power supply point. The target setting unit 32 calculates, for example, the target power supply amount of the CFE power by multiplying the sum of the predicted demand amounts of the CFE power by a predetermined coefficient greater than 1. The target setting unit 32 notifies the set target total power supply amount and the target power supply amount of the CFE power to the supply control unit 34.

[0020] Note that the demand amount of the CFE power for each individual demand unit is calculated by multiplying the predicted demand amount by the CFE rate. Among the power supply points, there are CFE setting points where the CFE rate or the demand amount of the CFE power is set, and CFE non-setting points where the CFE rate or the demand amount of the CFE power is not set. For such CFE non-setting points, as the demand amount of the CFE power, a value obtained by prorating the total remaining amount of the CFE power, which is obtained by subtracting the total supply amount of the CFE power at the CFE setting points from the total supply amount of the CFE power, by the ratio of the demand amount at the CFE non-setting points to the total demand amount of the power is set. The predicted demand amount of the power supply point with the demand unit 64 as the power supply destination includes the predicted demand amount of the demand unit 64.

[0021] The supply control unit 34 controls the operation of the power sources that make up the power system 40 according to the operating environment so that the total power supply amount supplied from the power system 40 satisfies the target total power supply amount at the prediction time and the total power supply amount of the CFE power in the power system 40 satisfies the target power supply amount of the CFE power. The supply control unit 34 is notified of the power supply amount from each power source that makes up the power system 40 as the actual supply amount.

[0022] The supply control unit 34 predicts the predicted supply amount for each variable power source as an output value at the prediction time based on the input values indicating the weather information and the actual supply amount, using the preset power source basic information and the learned supply amount prediction model. The weather information and the actual supply amount are information that quantitatively indicates the operating environment of the power sources constituting the power system 40. The supply control unit 34 may notify the terminal device 14 of the predicted supply amount predicted for each power source. The terminal device 14 can use the predicted supply amount notified from the supply control unit 34 for the configuration of a display screen (described later). For adjustable power sources, the supply control unit 34 applies the target supply amount (described later) as the predicted supply amount.

[0023] The supply control unit 34 sets the sum of the power supply amount for each adjustable power source and the predicted supply amount for each power source including variable power sources as the total supply amount, and sets as a constraint condition that the total supply amount is more than the target total supply amount and the sum of the CFE power supply amounts for each CFE power source is more than the target supply amount of the CFE power, and determines (optimizes) the target supply amount for each adjustable power source constituting the power system 40 so that the power supply cost is as low as possible. The power supply cost is not necessarily limited to the cost for power supply. The power supply cost may be other indicators indicating the magnitude of the load for power supply, such as the emission amount of environmental load substances from individual power sources and the total loss amount from each power source to each power supply point, or a weighted sum of a plurality of such types of indicators. The supply control unit 34 notifies the target supply amount determined for each adjustable power source to that adjustable power source.

[0024] Note that the power supply management system 30 has power distribution facilities (not shown) that distribute the power supplied from the power system 40 so as to satisfy the predicted demand amount for each power supply point. A known method is used for the power distribution control to each individual power supply point. In the power distribution control, the operation parameters of the devices constituting the power distribution facilities may be set so as to exceed the predicted demand amount for each power supply point. In this embodiment, it is sufficient for the power supply management system 30 to distribute power to each individual power supply point, and it is not necessary to control the power distribution to the demand unit 64 downstream of the power supply point.

[0025] The power supply system 40 has a plurality of power sources. A power source is a device or facility capable of supplying power. Each individual power source is electrically connected to the power transmission and distribution system 50 to supply power. Power supply includes, in addition to power generation, the discharge of power previously stored in a power source. Note that charging a storage battery can also be regarded as negative power supply. The consumption of power supplied from other power sources in pumping water from the lower reservoir to the upper reservoir in a pumped-storage power plant can also be regarded as negative power supply.

[0026] Power sources are classified based on specifications such as the characteristics of environmental loads associated with power supply and scale. Power sources are classified, for example, into adjustable power sources whose power supply amount can be adjusted by control and variable power sources whose supply amount cannot be adjusted. Examples of adjustable power sources include thermal power plants including hydrogen power plants, pumped-storage power plants, and storage batteries. Examples of variable power sources include solar power generation systems and wind power generation systems. The supply amount of power derived from weather such as solar power generation systems and wind power generation systems depends on the weather.

[0027] Also, depending on whether CO2 is emitted during power supply, it is classified as to whether it corresponds to a non-CFE power source. Examples of CFE power sources include solar power generation systems, wind power generation systems, hydroelectric power plants, and storage batteries. A power plant that uses only hydrogen as fuel is classified as a CFE power source.

[0028] In this embodiment, the power supply system 40 is configured to include at least one CFE power source that is a variable power source. Variable power sources may include non-CFE power sources. The adjustable power source adjusts the power supply amount from itself using the target supply amount notified from the supply control unit 34 as a control target. Each individual power source is provided with an electricity meter for measuring the supply amount of the power it supplies. The power system notifies the supply control unit 34 of the measured supply amount as the actual supply amount. As described above, the actual supply amount is used for controlling the target supply amount of power from the adjustable power source.

[0029] The power transmission and distribution system 50 distributes the power supplied from the power system 40 for each power supply point. The power transmission and distribution system 50 has a power grid having a plurality of substation facilities, a plurality of distribution facilities, power transmission lines connecting the power source and the substation facilities, and distribution lines connecting the substation facilities and the distribution facilities respectively. The substation facilities and the distribution facilities are collectively referred to as "distribution facilities etc.". The power grid may be configured (stratified) to include a plurality of layers. Each layer has a plurality of distribution facilities etc. as grids, and has power lines connecting the grids belonging to adjacent layers and power lines connecting the plurality of grids included in each layer.

[0030] Therefore, to the demand unit 64, electric power having a supply amount that satisfies the predicted demand amount predicted according to the usage situation of electric power with the CFE rate being equal to or higher than a predetermined target CFE rate is virtually supplied from the power transmission and distribution system 50 via the power supply point. The power supply point can be installed, for example, in one building, structure, or other facility. In that case, the demand unit 64 becomes a specific area of a part of the power supply point. When the power supply point is a building, the demand unit 64 can be an area such as a floor, room, or section that forms a part thereof. When the power supply point is a transportation vehicle (train, aircraft, etc.) of one formation, the demand unit 64 can be a vehicle, deck, compartment, seat, etc. that form a part thereof. In the example of FIG. 2, a distribution board 62a is installed as the power supply point. The distribution board 62a is an example of a branch point 62 that distributes the power distributed from the power transmission and distribution system 50 to more subdivided areas. The demand unit 64 becomes one of the specific areas to which the power is distributed.

[0031] Next, a functional configuration example of the distribution board 62a according to the present embodiment will be described. FIG. 2 is a schematic block diagram showing a functional configuration example of the distribution board 62a according to the present embodiment. The distribution board 62a includes a main breaker 62m, a leakage breaker 62l, and branch breakers 62p. The number of branch breakers 62p is usually plural. The main breaker 62m is connected between the power transmission and distribution system 50 and the leakage circuit breaker 62l. When the current supplied from the power transmission and distribution system 50 via the power line exceeds a predetermined rated current, the main breaker 62m cuts off the connection between the power transmission and distribution system 50 and the leakage circuit breaker 62l.

[0032] The leakage circuit breaker 62l is connected between the main breaker 62m and the branch breaker 62p. When a leakage is detected, the leakage circuit breaker 62l cuts off the connection between the main breaker 62m and the branch breaker 62p. The leakage circuit breaker 62l measures the leakage current in the power line connected to the branch breaker 62p, and can determine the presence or absence of leakage based on whether the measured leakage current is equal to or greater than a predetermined determination value.

[0033] The branch breaker 62p is connected between the leakage circuit breaker 62l and the power distribution destination. When the current supplied to the power distribution destination continuously exceeds a predetermined rated current for a certain period of time, the branch breaker 62p cuts off the connection between the leakage circuit breaker 62l and the power distribution destination. An outlet (power socket) is installed in the demand unit 64 serving as the power distribution destination, and is connected to the branch breaker 62p using a power line. The number of outlets installed in each demand unit 64 is not necessarily limited to one and can be a plurality.

[0034] In the example of FIG. 2, a wattmeter 12a is installed between the branch breaker 62p whose power distribution destination is the demand unit 64. The wattmeter 12a corresponds to an example of the measurement unit 12. The wattmeter 12a includes a power sensor and an input / output interface. The power sensor measures the power flowing through the power line connecting the branch breaker 62p and the demand unit 64. The measured power corresponds to the power consumption in the demand unit 64. The input / output interface wirelessly or wiredly transmits the power measured by the power sensor to the terminal device 14 and the demand prediction unit 22. The wattmeter 12a may include a plurality of power sensors and be capable of measuring the power consumption in different demand units 64.

[0035] By installing the power meter 12a together with the distribution board 62a, the power consumption in the demand unit 64 that is the branching destination can be easily obtained. Further, even when the demand units 64 are set for each distribution destination across a plurality of different area rooms, it is convenient in that the power consumption for each demand unit 64 can be collectively obtained. Further, such an arrangement is convenient for performing maintenance on the distribution board 62a in a lump.

[0036] Next, a functional configuration example of the terminal device 14 according to the present embodiment will be described. FIG. 3 is a schematic block diagram showing a functional configuration example of the terminal device 14 according to the present embodiment. The terminal device 14 is configured as an information processing device having, for example, a general-purpose computer system. The terminal device 14 may be realized in any form such as a personal computer, a tablet terminal device, a mobile phone, or the like. The terminal device 14 may be configured as a dedicated monitoring device. In that case, the terminal device 14 may integrally include the measurement unit 12 and be configured as a single electronic device.

[0037] The terminal device 14 includes a control unit 142, a storage unit 144, a display unit 146, an operation input unit 148, and an input / output unit 150. The control unit 142 executes various processes for providing the functions of the terminal device 14. The functions of the control unit 142 can be realized by a computer system. The control unit 142 includes a setting processing unit 142a and an output processing unit 142b. The setting processing unit 142a causes the display unit 146 to display a predetermined setting screen, and sets various setting information according to the operation information input from the operation input unit 148. The setting information includes some or all of a location ID (Identifier) indicating the area corresponding to the demand unit 64, activity information indicating the activities in the demand unit 64, usage information related to the use of the facilities related to the demand unit 64, the network address of the weather information site that is the source of the weather information, and the like. The setting processing unit 142a associates the location ID with other setting information and notifies the demand prediction unit 22.

[0038] The target CFE rate of the power supplied to the demand unit 64 may be a preset fixed value (for example, 100%), but it is not limited to this. The setting processing unit 142a may set the target CFE rate according to the operation information input from the operation input unit 148. The control unit 142 notifies the target setting unit 32 by associating the set target CFE rate with the location ID of the demand unit 64. Also, the setting processing unit 142a may be able to set the CFE power application period for the demand unit 64 according to the operation information input from the operation input unit 148. The control unit 142 notifies the target setting unit 32 by associating the set CFE power application period with the location ID of the demand unit 64.

[0039] The CFE power application period refers to the application period of the supply of CFE power that is equal to or higher than the target CFE rate. In other words, the CFE power application period is the period during which the target setting unit 32 sets the target supply amount of CFE power for the demand unit 64 at each predicted time within that range. When the application period is set according to the operation information, the target supply amount of CFE power for the demand unit 64 is not set outside the CFE power application period. Therefore, the CFE rate of the supply power supplied to the demand unit 64 is not guaranteed.

[0040] The output processing unit 142b may configure a display screen representing the power supply information to the demand unit 64. The output processing unit 142b causes the configured display screen to be displayed on the display unit 146. The power supply information includes the actual value of the supply power and the actual value of the CFE rate for the demand unit 64. The output processing unit 142b, for example, compensates for the attenuation associated with the transmission from each power source in the measured power consumption notified from the measurement unit 12 to calculate the actual value of the supply power (which may be referred to as the "actual supply power" in this application). The output processing unit 142b can calculate the actual supply power by dividing the measured power consumption by a predetermined attenuation rate. On the other hand, the output processing unit 142b can define the actual value of the CFE rate for the demand unit 64 (which may be referred to as the "actual CFE rate" in this application) as the product obtained by multiplying the preset target CFE rate by the ratio of the actual supply amount of CFE power to the target supply amount of CFE power.

[0041] On the other hand, the output processing unit 142b can be determined as a value obtained by multiplying the target CFE rate of the demand unit 64 by the ratio of the actual supply amount of CFE power to the target supply amount of CFE power notified from the target setting unit 32 as the actual value of the CFE rate for the demand unit 64. The actual supply amount of CFE power corresponds to the sum of the supply amounts of CFE power supplied from the CFE power sources. The CFE power from each individual CFE power source is notified via the supply control unit 34. In addition, when the obtained CFE rate (actual value) exceeds 100%, the output processing unit 142b may set the CFE rate (actual value) for the demand unit 64 to 100%.

[0042] The storage unit 144 temporarily or non-temporarily stores data used or generated by the control unit 142. The storage unit 144 includes storage media such as a ROM (Read Only Memory) and a RAM (Random Access Memory). The storage unit 144 stores, for example, the above-described setting screen, templates of display screens, power supply information, usage status information, and the like. The display unit 146 displays various display information according to the control from the control unit 142. The display unit 146 displays, for example, the above-described setting screen, setting information, and the like. The display unit 146 may be, for example, any of an LED (Light Emitting Diode) display, an OLED (Organic Light Emitting Diode) display, and the like.

[0043] The operation input unit 148 receives a user's operation and outputs operation information corresponding to the received operation to the control unit 142. The operation input unit 148 is, for example, an input device such as a touch sensor, a mouse, or a keyboard. The input / output unit 150 inputs and outputs various data to and from a device separate from the terminal device 14 by wire or wirelessly.

[0044] The computer system of the terminal device 14 realizes the functions of the terminal device 14 by downloading an application program (which may be referred to as an "app" in this application) from a predetermined distribution server connected to a communication network and executing the app. It is also possible to realize the functions of the terminal device 14 by executing a predetermined application program. Note that part or all of the display unit 146 and the operation input unit 148 may be omitted in the terminal device 14 as long as they can be connected in a wired or wireless manner so as to be capable of inputting and outputting data.

[0045] Next, an example of the demand prediction model related to the demand prediction unit 22 will be described. FIG. 4 is an explanatory diagram illustrating the demand prediction model. The demand prediction model is configured for each demand unit of 64 and is a mathematical model used for calculating predicted power consumption as an output value from input values indicating usage status information in the inference stage. The demand prediction unit 22 learns the demand prediction model using training data. The training data includes a plurality of data sets. Each data set includes an input value (explanatory variable) indicating usage status information at a past point in time and the actual power consumption (objective variable) at that time, and these are associated with each other. In the learning stage, the demand prediction unit 22 searches for a parameter set in which the predicted value calculated from the input value using the demand prediction model approximates the output value.

[0046] As the demand prediction model, for example, machine learning models such as decision trees, random forests, and neural networks are applied to the demand prediction unit 22. As an index value indicating the degree of approximation of the predicted value to the output value, any one of the L2 norm, cross entropy, or a weighted sum of these is applied. In the learning of the demand learning model, for example, methods such as the steepest descent method and the random search method are applied. The demand prediction unit 22 repeats the process of searching for the parameter set until the magnitude of the difference between the predicted value and the output value becomes less than or equal to a certain convergence reference value. The demand forecasting unit 22 may verify whether or not the error between the predicted value and the output value for the input value is less than a predetermined error reference value by using test data consisting of multiple existing data sets separate from the training data through cross validation. The demand forecasting unit 22 applies the parameter set that makes the error less than the error reference value through cross validation to the inference of the actual power consumption.

[0047] Next, an example of the data configuration of the usage information expressed as an input value will be described. Fig. 5 is a diagram showing an example of the data configuration of the usage information according to this embodiment. The usage information includes a location ID, a business / production schedule, weather information, and actual demand volume, and these are associated with each other. The location ID is identification information that specifies an area as a demand unit 64. The business / production schedule is an example of activity information by demanders in the demand unit 64 and utilization information of facilities in the demand unit 64. The business calendar represents activity information. The business calendar includes information such as whether or not there is business on each day, business hours on business days, the duration required for each task during business hours, their locations, participants, etc. The facility usage schedule includes information such as the usage period for each facility in the demand unit 64 . The on-site PV specifications indicate whether or not an on-site PV (Photovoltaic) power source is used in the demand unit 64, and the specifications of the on-site PV power source if it is used. An on-site PV power source is a solar power generation system installed by a power supply company at the power supply point. The location ID and the business / production schedule can be set from the setting processing unit 142 a of the terminal device 14 .

[0048] The weather information includes, for example, all or some of information such as the amount of solar radiation, temperature, humidity, wind direction and speed, outdoor temperature, weather, precipitation and snowfall, etc. The weather information can be obtained from a weather information site. The sales / production schedule and weather information may include, in addition to the schedule at the predicted time, the schedule for the period before and after the predicted time, and the actual results up to the latest time. The demand achievement indicates the actual power consumption at regular intervals. The demand achievement includes the 30-minute integrated demand and the derived quantity, as well as the actual CFE rate. The 30-minute integrated demand is an integrated value obtained by integrating the actual power consumption every 30 minutes. The actual power consumption is notified from the measurement unit 12. As the derived quantity, any of the previous day's actual value, moving average value, etc. may be included. The demand prediction unit 22 can apply the actual CFE rate (described later) calculated and notified in the output processing unit 142b of the terminal device 14.

[0049] Note that the demand prediction unit 22 may simultaneously execute a learning process of sequentially constructing training data and learning a demand prediction model using the constructed training data, and an arithmetic process of calculating predicted power consumption from usage status information using the demand prediction model obtained by learning. In that case, the execution of the learning process and the execution of the inference process may be synchronized or asynchronous. Also, the demand prediction unit 22 may not execute the learning process and may execute the inference process using a demand prediction model learned in other devices.

[0050] Next, an example of the display screen according to this embodiment will be described. FIG. 6 is a diagram illustrating the display screen Im02 according to this embodiment. The display screen Im02 shows the annual indicators and supply achievements related to the power supply to the demand unit 64. In the column of the annual indicators, the supply quantity, CFE achievement quantity, and annual CO2 reduction quantity are represented. In the column of the supply quantity, the power supply quantity up to the latest point in time and the year-on-year comparison with the same period of the previous year are shown. The output processing unit 142b of the terminal device 14 can obtain the supply power of the demand unit 64 over one year up to the latest point in time as the power supply quantity by integration. In the column of the CFE achievement quantity, the CFE power supply quantity supplied to the demand unit 64 up to the latest point in time and the CFE achievement rate are shown. As the CFE achievement rate, the ratio of the CFE power quantity up to the latest point in time to the initially planned CFE power quantity is shown.

[0051] In the column of annual CO2 reduction amount, the annual CO2 reduction amount, comparison with normal power, and emission amount are shown. As the annual CO2 reduction amount, the reduction amount from the CO2 emission amount that would be emitted assuming it was covered by normal power due to the supply of CFE power over one year up to the latest point in time is shown. As the comparison with normal power, the reduction rate from the CO2 emission amount due to the supply of normal power is shown. Normal power is supplied assuming that the supply of CFE power with a target CFE rate of 64 or higher per demand unit is not applied.

[0052] The output processing unit 142b determines, for example, the product obtained by multiplying the integrated value obtained by integrating the power supply amount for each non-CFE power source notified from the supply control unit 34 among the actual supplied power over one year up to the latest point in time by the CO2 emission coefficient corresponding to the power source type as the CO2 emission amount for each non-CFE power source. Then, the output processing unit 142b can determine the sum of the CO2 emission amounts for each non-CFE power source as the CO2 emission amount of normal power. By using a similar method, the output processing unit 142b can estimate the CO2 emission amount in that case based on the power supply amount for each non-CFE power source estimated when applying the supply of CFE power according to this embodiment.

[0053] In the column of emission amount, the annual CO2 emission amount related to the supply of CFE power according to this embodiment and the ratio of the annual CO2 emission amount to the annual CO2 reduction amount are shown. In the illustrated example, the emission amount does not completely become zero. This is because the supply amount of CFE power does not reach the target supply amount due to weather conditions and the like and is supplemented by non-CFE power. In the column of supply performance, the power supply amount per hour for demand unit 64, the component ratio of each power source type, the CO2 emission coefficient, and the weather are shown. As the power source types, solar power generation, hydrogen thermal power generation, and offshore wind power generation are exemplified. The weather is represented by a designed mark. The illustrated CO2 emission coefficient is obtained by dividing the estimated CO2 emission amount for demand unit 64 by the actual supply amount.

[0054] Note that the control unit 142 of the terminal device 14 may include a configuration related to the demand unit 64 of the demand prediction unit 22 and may form a part of the functions of the terminal device 14. In that case, the demand prediction unit 22 may not be provided separately from the terminal device 14. The output processing unit 142b may configure a display screen including a model diagram representing the hierarchical structure of the demand prediction model, the nodes (nodes) forming the hierarchical structure, and the learned parameters given for each reference relationship (link) between the nodes, and cause the display unit 146 to display it. The demand prediction unit 22 may derive the contribution degree of each element of the input value to the predicted power consumption as the output value from the learned demand prediction model (feature amount analysis). As an index value of the contribution degree, the demand prediction unit 22 can use statistical quantities such as LME (Local Interpretable Mode-agnostic Explanations) and SHAP (Shapley Additive Explanations).

[0055] The demand prediction unit 22 may exclude elements whose contribution degree does not meet a certain reference contribution degree, and learn the demand prediction model using training data including input values including elements whose contribution degree is equal to or higher than the reference contribution degree. Further, the demand prediction unit 22 may use the learned demand prediction model to infer an output value corresponding to an input value including an element whose contribution degree is equal to or higher than the reference contribution degree.

[0056] The output processing unit 142b may configure a display screen including a diagram showing the contribution degree calculated for each element of the input value by the demand prediction unit 22, and cause the display unit 146 to display the configured display screen. In the example of FIG. 7, the contribution degree calculated for each element of the input value is shown in descending order of the contribution degree. On the vertical axis, the elements of the usage status information corresponding to each element of the input value are shown as factors. The contribution degree is shown on the horizontal axis. The user who touches the display screen can immediately grasp the factors that significantly affect the predicted power consumption.

[0057] Next, a configuration example of the supply amount prediction model related to the supply control unit 34 will be described. FIG. 8 is an explanatory diagram illustrating the supply amount prediction model. The supply prediction model is configured for the entire power supply system PS and is a mathematical model used to calculate the predicted supply amount for each adjustable power source as an output value from input values including weather information, actual supply amount, and power source basic information in the inference stage. The power source basic information is information indicating the power supply capacity characteristics of the power source.

[0058] The supply control unit 34 learns the supply amount prediction model using training data separate from the learning of the demand prediction model. Each data set included in the training data includes input values (explanatory variables) including weather information, actual supply amount, and power source basic information at a past point in time and the actual power consumption (objective variable) at that time, and these are associated with each other. In the learning stage, the supply control unit 34 searches for a parameter set in which the predicted value calculated from the input values using the demand prediction model is approximated by the output value. The supply control unit 34 repeats the process of searching for the parameter set until the magnitude of the difference between the predicted value and the output value becomes equal to or less than a certain convergence reference value.

[0059] The weather information may vary for each power source. This is because the installation positions may vary for each power source. The input values input to the demand prediction model may be configured by being classified for each power source. FIG. 9 shows the information elements of the input values with a solar power generation system as an example of the power source. The information elements include weather information, actual power generation amount, and power plant basic information, and are associated with the power source ID. The power source ID is identification information for identifying each power source. The weather information has the same items as those exemplified in FIG. 5. The weather information can be obtained from a weather information site. The actual power generation amount corresponds to the actual supply amount. The actual power generation amount is notified to the supply control unit 34 from each power source.

[0060] The power plant basic information is an example of the power source basic information, and the power plant basic information includes the installed capacity, installation orientation, panel angle, and performance information. These indicate the power generation capacity of the solar power generation system. Different items may be included in the power source basic information for different types of power sources. For example, the power source basic information related to a wind power generation system may include the windmill type, rated wind speed, rotor rotation speed, rated capacity, and the like.

[0061] Note that the supply control unit 34 may simultaneously execute a learning process of sequentially constructing training data and learning a supply amount prediction model using the constructed training data, and an inference process of calculating predicted power consumption from weather information, actual power generation amount, and power plant basic information using the supply amount prediction model obtained by learning. In that case, the execution of the learning process and the execution of the inference process may be synchronized or asynchronous. Further, the supply control unit 34 may not execute the learning process and may execute the inference process using a supply amount prediction model learned by other devices.

[0062] As described above, in the present embodiment, the demand prediction unit 22 uses a demand prediction model to predict predicted power consumption, which is a predicted value of the power consumption of the demand unit 64 at a prediction time later than the current time, based on the power usage status of the demand unit 64 to which power is distributed from a power supply point where power is supplied from the power distribution facilities forming the power transmission and distribution system 50. The supply control unit 34 controls the operation of the adjustable power source according to the operating environment so that the total supply amount of power without environmental load among the power supplied from the power source system 40 having a plurality of power sources satisfies the total demand amount at the prediction time and is equal to or greater than the target supply amount at the prediction time. The target setting unit 32 sets the total demand amount and the target supply amount so that predicted power consumption with a ratio of low environmental load power without environmental load in the demand unit 64 being equal to or greater than a predetermined target ratio is ensured. Then, the CFE rate is used as the ratio of low environmental load power and the target ratio, and the case where the demand unit 64 is an area such as a floor, room, or floor of a building is taken as an example.

[0063] With this configuration, power supply to the demand unit 64 is controlled so as to satisfy the demand amount predicted according to the usage status and the CFE rate is equal to or greater than a predetermined target CFE rate. The CFE rate of the supplied power is set for each demand unit 64 having a finer granularity than the power supply point, and the power supply is controlled so as to satisfy the set target CFE rate. Therefore, it is possible to improve the possibility of achieving the target CFE rate for the local demand unit 64 compared to the power supply point under the limited power supply capacity. As a result, it is possible to support the achievement of the target CFE rate by the consumer.

[0064] Further, the target setting unit 32 may set the total power supply amount and the CFE power supply amount so as to satisfy the predicted demand amount for the demand unit 64 during a specific application period notified from the terminal device 14. With this configuration, for the demand unit 64 during a specific application period, power supply is controlled so as to satisfy the demand amount predicted according to the usage situation and the CFE rate becomes equal to or higher than a predetermined target CFE rate. Therefore, under the total power demand that changes with time, it is possible to improve the possibility of achieving the target CFE rate for the demand unit 64 temporarily. For example, opportunities to appeal the supply and demand of CFE power in events with limited locations and periods, such as sales promotion campaigns, exhibitions, festivals, etc., can be set more flexibly.

[0065] <Second Embodiment> Next, the second embodiment will be described. In the following description, differences from the first embodiment will be mainly described, and for common points with the first embodiment, the description thereof will be incorporated by reference unless otherwise specified. This embodiment takes the case where the demand unit 64 to which power is distributed from the power supply point is an individual device as an example.

[0066] FIG. 10 is an external view showing a first configuration example of the measurement unit according to this embodiment. FIG. 10 illustrates a smart plug 12b as another example of the measurement unit. The smart plug 12b has a power plug on the bottom surface and a power socket on the surface. The power plug can be directly fitted to an outlet, and the power socket can be fitted to the power plug of the device serving as the demand unit 64 at a certain time. The smart plug 12b incorporates a power sensor and an input / output interface (not shown). When the power plug of the smart plug 12b is inserted into the outlet and the power plug of another device serving as a load is inserted into the power socket of the smart plug 12b, power is supplied from the power supply point to the device via the outlet and the smart plug 12b. The power sensor measures the actual power consumption of the device from the power flowing through itself and notifies the measured actual power consumption to the input / output interface. The input / output interface notifies the measured actual power consumption to the demand prediction unit 22 by wire or wirelessly.

[0067] The smart plug 12b may be connected to the terminal device 14 in an input / output capable manner, or may be configured as a part of the terminal device 14. For example, the smart plug 12b may have a computer system and may realize the function of the control unit of the terminal device 14. In the example of FIG. 13, the display unit 146b is disposed at a position adjacent to the wall outlet. With such a configuration, the actual power consumption of the device that is the demand unit 64 can be acquired by the smart plug 12b without requiring any special construction work.

[0068] FIG. 12 is an external view showing a second configuration example of the measurement unit according to the present embodiment. FIG. 12 illustrates a clamp meter 12c as still another example of the measurement unit. The clamp meter 12c includes a clamp sensor, a measurement circuit, and an input / output interface. The clamp sensor includes a pair of sensor members formed to face each other in a horseshoe shape, and can be opened and closed between the sensor members by applying an external force. The measurement circuit measures the power flowing through the power line in a state where the power line is sandwiched by the clamp sensor. The input / output interface outputs the measured power as the actual power consumption to the demand prediction unit 22 by wire or wirelessly. Thus, according to the clamp meter 12c, the actual power consumption can be non-invasively acquired with the device that is the wiring destination as the demand unit 64 in terms of wiring units. The device that is the wiring destination may be an arbitrarily installed electrical device (for example, a PC, a tablet terminal device, a mobile phone). Also, if the clamp meter can be miniaturized, it becomes possible to acquire the actual power consumption of a specific member (for example, an embedded circuit) at the wiring destination in a certain device.

[0069] In the present embodiment, instead of the location ID, individual demand units 64 are specified using the device ID. The usage status information shown in FIG. 13 includes the device ID, the business / production schedule, the weather information, and the actual demand amount, and these are associated with each other. By using the device ID, the processing for each device that is the demand unit 64 can be easily identified.

[0070] The measuring units (e.g., power meter 12a, smart plug 12b, clamp meter 12c) according to the present embodiment described above are installed on power lines that supply power from facilities related to a power supply point to specific devices. Therefore, the devices to which power is supplied can be set as demand units 64. Accordingly, power supply that satisfies the target CFE rate and demand can be subdivided and executed on a device-by-device basis. This increases the possibility of achieving the target CFE rate for a more localized demand unit 64.

[0071] In the above example, the measurement unit mainly measures the power consumption for each power line that distributes power to the demand unit 64, but this is not limited to the above. When an area (application area) to be applied as the demand unit 64 is set in advance, the actual power consumption in the demand unit 64 may be estimated by apportionment metering based on the actual power consumption at the power supply point. Apportionment metering is a method permitted by Article 10 of the Measurement Act. In the example of FIG. 14, a power meter 12a is installed in a distribution board 62s that distributes power supplied from the power transmission and distribution system 50 to the power supply point. The power meter 12a monitors the power flowing from the distribution board 62s through the power lines installed at the power supply point, and calculates the actual power consumption at the power supply point as the total demand P total The terminal device 14 measures the total demand P total Let S be the area of ​​the power supply point that has been set in advance. total Demand for 64 units of floor space S i Ratio of S i / S total can be estimated as the actual power consumption in the demand unit 64s. The applicable area may be a part of the space to which power is supplied, such as a room, a section, or a partition. In this case, an area ID for identifying the area may be used instead of an equipment ID as identification information for identifying the demand unit 64s. Therefore, even if the demand unit 64 is defined by apportionment metering based on the exclusive area without depending on a specific equipment or wiring, power supply that satisfies the target CFE rate is realized.

[0072] <Third embodiment> Next, the third embodiment will be described. In the following description, the differences from the above embodiments will be mainly described, and the descriptions of the common points with the above embodiments will be incorporated by reference unless otherwise specified. This embodiment takes the case where the demand unit 64 to which power is distributed from the power supply point is an individual consumer. The consumer is not limited to a natural person or a legal entity, and may be a group of people having a certain purpose, that is, a society (group, organization).

[0073] In this embodiment, each individual demand unit 64 is associated with one or two or more secondary demand units. Each secondary demand unit can be the area according to the first embodiment or the device according to the second embodiment. That is, the demand unit 64 is associated with two or more devices, two or more areas, or a set of one or more devices and one or more areas that are more refined than ordinary demand units. The demand prediction unit 22 can identify, for example, the demand unit corresponding to the secondary demand unit according to the usage status information obtained by referring to a mapping table showing the relationship between the preset demand unit 64 and the secondary demand unit.

[0074] FIG. 15 is a diagram illustrating the mapping table according to this embodiment. The mapping table shows the correspondence between the user ID indicating the demand unit and the device ID indicating each secondary demand unit. In the example of FIG. 15, one user ID is associated with four device IDs (device ID1 to device ID4). For example, the user ID corresponding to the device ID3 can be identified by referring to the mapping table.

[0075] The demand prediction unit 22 aggregates the usage status information for each secondary demand unit for each common demand unit. The demand prediction unit 22 can avoid repetition by leaving one common piece of information among the secondary demand units and eliminating the other common pieces of information from the element information of the usage status information. The aggregated usage status information is used to estimate the predicted power consumption. Fig. 16 is a diagram illustrating an example of the usage status information according to this embodiment. Of the usage status information shown in Fig. 15, the sales / production schedule and weather information are common to device ID 1 to device ID 4. On the other hand, the sales / production schedule and weather information are different between device ID 1 to device ID 4, so they are listed separately.

[0076] 16, the demand amount actual value may be set for each device, and the demand forecasting unit 22 may apply each demand amount actual value to the inference process or the learning process as an element of a group of input values, but is not limited to this. The demand forecasting unit 22 may set the sum of the 30-minute accumulated demand amount / derived amount for each device as the actual 30-minute accumulated demand amount / derived amount for the demand unit 64, and calculate the weighted average value of the CFE rate for each device as the actual CFE rate for the demand unit 64. The demand forecasting unit 22 may apply the demand amount actual value including the calculated actual 30-minute accumulated demand amount / derived amount and the actual CFE rate to the inference process or the learning process as an element of a group of input values.

[0077] FIG. 17 is a diagram showing another example of a power distribution configuration at a power supply point according to the present embodiment. In the illustrated example, a business entity that occupies a specific floor of an office building is a demand unit 64. The business entity has concluded a contract to supply environmentally friendly power to some rooms on the occupied floor as secondary demand units 66x and 66y, and to supply normal power to the remaining rooms. Power supplied from the power supply system 40 is distributed to each room on the occupied floor, including the secondary demand units 66x and 66y, via a distribution board 62x that serves as a power supply unit. The measurement unit 12x of the business entity measures the actual power consumption as the demand amount actual in each room, and notifies the demand prediction unit 22 of the measured actual power consumption. The terminal device 14x of the business entity notifies the demand prediction unit 22 of information including the power usage status of each room by the business entity. The demand prediction unit 22 estimates the predicted power consumption (predicted demand) based on the usage status information including the demand amount actual using the above-mentioned demand prediction model, and notifies the target setting unit 32 of the estimated predicted power consumption. The power supply control unit 34 notifies the terminal device 14x of power supply information including the predicted supply amount.

[0078] The output processing unit 142b of the terminal device 14x can configure a display screen representing power supply information related to a specific secondary demand unit instead of the demand unit 64. Next, an example of the display screen according to this embodiment will be described. FIG. 18 is a diagram illustrating a display screen Im12 according to this embodiment. In addition to the annual index and supply record, the display screen Im12 has a header at the uppermost row. The header includes the name of the consumer company, the contract plan name "Point CFE100", the name of the site being displayed, and a language switch button. As the name of the site being displayed, the name of one of the sites related to one or more sites of the consumer who is the contracting party can be selected according to a user operation. In the illustrated example, "7th Floor, XXX Building" is selected. The selectable sites correspond to secondary demand units, and the annual index and supply record related to the selected site are displayed. The language switch menu can select either Japanese "JP" or English "EN" as the language representing the character strings constituting the display screen according to an operation. In the illustrated example, Japanese is selected.

[0079] On the left middle part of the display screen Im12, a simplified diagram showing the power transmission and distribution system 50 that supplies power from each individual power source to the selected secondary demand unit is displayed. The diagram includes icons indicating each power source and the secondary demand unit for each power source type. Also, the component ratio of the supply power for each power source type at that time and the "total green power supply 100%" as the CFE rate in the secondary demand unit at that time are illustrated in association with the respective icons. On the right middle part of the display screen Im12, the cumulative CO2 reduction amount on that day due to the consumption of CFE power in the selected secondary demand unit is illustrated. As an explanatory text for the cumulative CO2 reduction amount, a text showing the number of cedar trees obtained by converting the cumulative CO2 reduction amount by the average annual CO2 absorption amount by photosynthesis and a diagram showing the concept are appended.

[0080] As described above, in the present embodiment, it is a consumer related to at least one of one or more devices and one or more regions to which power is supplied from a power supply point. Therefore, the devices or regions to be the power supply destinations can be included in units of consumers. In other words, the power supply that satisfies the target CFE rate and the demand can be aggregated and executed in units of consumers. Further, it serves as evidence when appealing the possibility of achieving the target CFE rate in units of consumers.

[0081] In the above description, the case where the environmental load related to power supply is CO2 emissions is mainly considered, but it is not limited to this. The above embodiment may be applied to emissions of greenhouse gases other than CO2. Greenhouse gases other than CO2 include, for example, methane CH4, nitrogen oxides NO x , chlorofluorocarbons, and the like. Further, the above embodiment may be applied when the environmental load is an artificial process, for example, in addition to the combustion of fossil fuels, the combustion of hydrogen, nuclear reactions, etc. In that case, instead of CFE, the natural energy rate can be used as the ratio of low environmental load power.

[0082] Note that the demand prediction unit 22, the target setting unit 32, and the supply control unit 34 according to the above embodiment may each be configured as an independent electronic device, or may be realized as an electronic device configured for each part or all combinations thereof. For example, the power supply management system 30 may be configured as a power supply management device having the target setting unit 32 and the supply control unit 34, or may have a configuration having a supply control device having the target setting unit 32 and the supply control unit 34. Further, the device including the target setting unit 32 may further include the demand prediction unit 22. The power supply management system 30 may be configured as a CEMS (Community Energy Management System). The terminal device 14 may include one or both of the measurement unit 12 and the demand prediction unit 22. The terminal device 14 including the measurement unit 12 may be configured as a MEMS (Mansion Energy Management System), a BEMS (Building Energy Management System), or the like.

[0083] The above terminal device 14 and other electronic devices may each be provided with a general-purpose computer system. FIG. 19 is a schematic block diagram showing a configuration example of a computer system 170 according to an embodiment of the present application. The computer system 170 includes, for example, a processor 172, an input device 178, an output device 180, a ROM (Read Only Memory) 182, a RAM (Random Access Memory) 184, an auxiliary storage unit 186, and an interface unit 188. The processor 172, the input device 178, the output device 180, the ROM 182, the RAM 184, the auxiliary storage unit 186, and the interface unit 188 are interconnected using a bus BS.

[0084] The processor 172 reads, for example, programs and various data stored in the ROM 182, executes the programs, and controls the operation of the computer system 170. In the present application, "executing a program" or "execution of a program" includes the meaning of executing the processing instructed by the instructions described in the program. The processor 172 is, for example, a CPU (Central Processing Unit). The number of processors 172 may be plural. The plural processors 172 may include, in addition to the CPU, a GPU (Graphic Processing Unit).

[0085] The input device 178 receives a user's operation, input operation information corresponding to the received operation, and outputs operation data to the processor 172. The operation input unit 148 of the terminal device 14 corresponds to the input device 178. The output device 180 outputs the output data input from the processor 172 to various devices serving as output destinations. The display unit 146 of the terminal device 14 corresponds to the output device.

[0086] The ROM 182 stores, for example, programs for the processor 172 to execute. The RAM 184 is used as a main memory medium that functions as a work area for temporarily storing various data and programs used by, for example, the processor 172. The auxiliary storage unit 186 is a storage medium such as an HDD (Hard Disk Drive) or a flash memory. The storage unit 144 of the terminal device 14 includes the auxiliary storage unit 186.

[0087] The interface unit 188 is connected to other devices and enables various data to be input and output wirelessly or wiredly. The interface unit 188 includes, for example, a communication module that is connected to a network wiredly or wirelessly. The input / output unit 150 of the terminal device 14 corresponds to the interface unit 188.

[0088] As described above, the present embodiment has been described in detail with reference to the drawings. However, the specific configuration is not limited to the above-described configurations, and also includes designs and the like within the scope not departing from the gist of the present embodiment. The above-described configurations can be arbitrarily combined, and a part thereof may be omitted.

Explanation of Reference Numerals

[0089] PS... Power supply system, 12... Measurement unit, 12a... Power meter, 12b... Smart plug, 12c... Clamp meter, 14... Terminal device, 22... Demand prediction unit, 30... Power supply management system, 32... Target setting unit, 34... Supply control unit, 40... Power system, 40-1 to 40-3... Power sources, 50... Transmission and distribution system, 62... Branch point, 62a... Distribution board, 64... Demand unit, 142... Control unit, 142a... Setting processing unit, 142b... Output processing unit, 144... Storage unit, 146, 146b... Display unit, 148... Operation input unit, 150... Input / output unit, 170... Computer system, 172... Processor, 178... Input device, 180... Output device, 182... ROM, 184... RAM, 186... Auxiliary storage unit, 188... Interface unit

Claims

1. A demand prediction unit that predicts a predicted demand amount, which is a predicted value of the power consumption of the demand unit at a prediction time after the current time, using a demand prediction model based on the power usage status of the demand unit to which power is distributed from a power supply point where power is supplied from a power distribution facility; A supply control unit that controls the operation of a plurality of power sources including at least one adjustable power source that can adjust the power supply amount according to the operating environment so as to satisfy the target total supply amount and the target supply amount of low environmental load power at the prediction time; A target setting unit that sets the target total supply amount and the target supply amount of low environmental load power so as to satisfy the predicted demand amount with a ratio of low environmental load power in the demand unit being equal to or higher than a predetermined target ratio. A power supply system.

2. The target setting unit sets the target total supply amount and the target supply amount of low environmental load power so as to satisfy the predicted demand amount during a specific application period. The power supply system according to claim 1.

3. Further comprising a measurement unit that measures the actual power consumption, which is the actual value of the power consumption in the demand unit. The power supply system according to claim 1.

4. The measurement unit is installed in parallel with a distribution board that distributes power to a specific area of the equipment related to the power supply point. The power supply system according to claim 3.

5. The measurement unit is installed on a power line that supplies power from the equipment related to the power supply point to a specific device. The power supply system according to claim 3.

6. The demand unit is a consumer related to at least one of one or more devices and one or more areas to which power is supplied from the power supply point. The power supply system according to claim 3.

7. The power usage status includes at least any one of the actual power consumption, activity information in the demand unit, facility usage information, and weather information. The system further includes a model learning unit that learns the demand prediction model so that the difference between the predicted power consumption predicted based on the power usage status and the actual power consumption is reduced. The power supply system according to claim 3.

8. The environmental load related to the power supply is carbon dioxide emissions. The power supply system according to claim 1.

9. The system further includes an output processing unit that outputs the transition of the supplied power to the demand unit. The power supply system according to claim 1.

10. The output processing unit further outputs at least any one of the components of the supplied power for each power source type, the ratio of low environmental load power in the supplied power, and the reduction amount of environmental load substances related to the supply of the low environmental load power. The power supply system according to claim 9.

11. In a computer A program for causing the computer to function so as to include the output processing unit according to claim 9.

12. A power supply method in a power supply system, comprising: A demand prediction step in which a demand prediction unit predicts a predicted demand amount, which is a predicted value of the power consumption of the demand unit at a prediction time after the current time, using a demand prediction model based on the power usage status of the demand unit to which power is distributed from a power supply point where power is supplied from distribution facilities; A supply control step in which a supply control unit controls the operation of a plurality of power sources including at least one adjustable power source whose power supply amount can be adjusted according to the operating environment so as to satisfy the target total supply amount and the target supply amount of low environmental load power at the prediction time; A target setting step in which a target setting unit sets the target total supply amount and the target supply amount of low environmental impact power so as to satisfy the predicted demand amount in which the ratio of low environmental impact power is equal to or higher than a predetermined target ratio in the demand unit. Power supply method.

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