Power management system
The power management system addresses the challenge of varying electricity rate plans by setting and assigning multiple rate tables to facilities, effectively controlling power consumption and balancing supply and demand.
Patent Information
- Application Number
- JP2024114084
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2024-07-17
- Publication Date
- 2026-01-29
AI Technical Summary
Existing electricity rate plans lack sufficient variation and designated time periods for nighttime power usage, making it difficult to precisely control power consumption and distribute electricity effectively.
A power management system that includes a first processing unit to set multiple electricity rate tables and a second processing unit to assign these tables to facilities, adjusting power consumption by controlling device operations based on electricity rates.
This system enables precise control of power consumption, balancing energy supply and demand, and leveling out power consumption patterns across an area, reducing the need for peak power generation.
Smart Images

Figure 2026013622000001_ABST
Abstract
Description
[Technical Field]
[0001] The present disclosure relates to a power management system, and more particularly to a power management system for a specific region. [Background technology]
[0002] In the electricity market, when there is a mismatch between power supply and demand, the quality of electricity can be disrupted. For this reason, power companies maintain the balance of power supply and demand by adjusting the amount of power generated. However, as power generation methods that do not easily adjust the amount of power generated, such as power generation using renewable energy, are introduced into the electricity market, fluctuations in supply are increasing. Furthermore, the balance of power supply and demand can be disrupted by sudden increases in demand due to extreme heat or grid problems. In such situations, the importance of demand response (hereinafter referred to as DR), which requests power demand to reduce or increase power consumption, is increasing. [Prior art documents] [Patent documents]
[0003] [Patent Document 1] Japanese Patent Publication No. 2022-012163 Summary of the Invention [Problem to be solved by the invention]
[0004] The DR described in Patent Document 1 is called incentive-based demand response, but another concept of DR is electricity rate-based demand response. Electricity rate-based demand response involves controlling the operation / non-operation of power-consuming devices using a home energy management system (HEMS) or manual intervention to prevent electricity rates from becoming too high in relation to the electricity rate plans offered by electric power companies and other entities. For example, this control involves charging an electric vehicle using late-night power, which is cheaper than daytime power. However, currently, there are few variations in electricity rate plans, and the time period designated for nighttime power is long. For this reason, it is difficult to ask electricity consumers to precisely control whether equipment operates at the beginning of the night or at dawn during the time period when nighttime power is applied, and there are practically limits to the extent to which electricity usage can be distributed. [Means for solving the problem]
[0005] The power management system disclosed herein is a power management system for providing a stable supply of power to an area including a plurality of facilities, and is characterized by comprising a first processing unit that sets a plurality of different electricity rate tables, and a second processing unit that assigns the plurality of electricity rate tables to each of the plurality of facilities. [Effects of the Invention]
[0006] According to the power management system according to the present disclosure, it is possible to adjust the balance of energy supply and demand in a region. [Brief explanation of the drawings]
[0007] [Figure 1] 1 illustrates a power management system according to an embodiment; [Figure 2] 1 is a block diagram illustrating a power management system according to an embodiment; [Figure 3] FIG. 1 is a diagram illustrating classification of facilities according to an embodiment. [Figure 4]FIG. 2 is a diagram illustrating an electricity rate table according to an embodiment. [Figure 5] FIG. 10 is a diagram illustrating an example of power consumption characteristics of a facility according to an embodiment. [Figure 6] FIG. 1 is a diagram illustrating an example of a power consumption characteristic of a region according to an embodiment. [Figure 7] FIG. 1 is a diagram illustrating a facility as an example of an embodiment. DETAILED DESCRIPTION OF THE INVENTION
[0008] An example of an embodiment of a power management system according to the present disclosure will be described in detail below with reference to the drawings. The embodiment described below is merely an example, and the present disclosure is not limited to the following embodiment. Furthermore, the present disclosure also includes forms formed by selectively combining multiple embodiments and modified examples described below.
[0009] A power management system 1 according to this embodiment will be described in detail with reference to Figures 1 and 2. Figure 1 is a diagram showing the power management system 1 as an example of this embodiment. Figure 2 is a block diagram showing the power management system 1 as an example of this embodiment.
[0010] The power management system 1 is applied to an area 100 including a plurality of facilities 10 to which power is supplied from a power grid, and is a system for managing power in the area 100. The power management system 1 comprises a server 20 having a first processing unit 22 that sets a plurality of different electricity rate tables and a second processing unit 23 that allocates the plurality of electricity rate tables to the plurality of facilities 10, and the server 20 is connected to be able to communicate with the plurality of facilities 10. The area 100 may be, for example, a city, town, or village, or an area partitioned within the city, town, or village. The facilities 10 are, for example, residences, offices, commercial facilities, etc. located within the area 100.
[0011] Server 20 may be a server installed at a power company or a cloud server installed outside the power company. Server 20 may also be shared between the power company and a company related to facility 10. Server 20 may also be made up of multiple devices, each of which may be installed in a different location.
[0012] The server 20 has a power consumption acquisition unit 21 that acquires the power consumption of the facility 10 that receives power from the power grid and measures the amount of power consumption, a first processing unit 22 that sets multiple different types of electricity rate tables, and a second processing unit 23 that assigns the electricity rate tables set by the first processing unit 22 to each of the multiple facilities 10.
[0013] The power consumption acquisition unit 21 can obtain information about power consumption by acquiring power consumption information about the facility 10 measured by a smart meter or the like installed in the facility 10. The smart meter is, for example, a measuring device that can measure power consumption digitally. The smart meter measures power consumption by day or hour, for example.
[0014] As described above, the first processing unit 22 sets a plurality of different types of electricity rate tables. That is, the first processing unit 22 sets at least two different types of electricity rate tables. The electricity rate table is, for example, a relationship between time and electricity rate, and sets electricity rates for each time of day.
[0015] The electricity rate table set by the first processing unit 22 is not particularly limited, but from the viewpoint of facilitating matching of electricity demand and electricity supply, an electricity rate table in which electricity rates are high during time periods when electricity demand in the area 100 or the facility 10 is high, i.e., during time periods when electricity consumption is high, may be set. In other words, an electricity rate table that reduces electricity consumption during time periods when electricity consumption is high may be set.
[0016] For example, the first processing unit 22 may set a plurality of different electricity rate tables based on the power consumption characteristics of each of the plurality of facilities 10. In detail, the first processing unit 22 sets the electricity rate table based on the power consumption characteristics of each of the plurality of facilities 10 acquired by the power consumption amount acquiring unit 21. Here, the power consumption characteristics are the amount of power consumed by the facility 10 over time.
[0017] As a specific example, the first processing unit 22 sets an electricity rate table in which electricity rates are high during time periods when power consumption in the facility 10 is high and electricity rates are low during time periods when power consumption in the facility 10 is low. As a result, by suppressing electricity use during time periods when electricity rates are high and encouraging power use during time periods when electricity rates are low, it is possible to level out the power consumption characteristics in the facility 10. Here, leveling out the power consumption characteristics means obtaining a relatively flat power consumption characteristic by suppressing power consumption during peak times.
[0018] The first processing unit 22 may set an electricity rate table based on the power consumption characteristics of the area 100. The first processing unit 22 may set a plurality of types of electricity rate tables so as to reduce power consumption during peak power consumption times in the area 100. That is, the first processing unit 22 may set a plurality of types of electricity rate tables so as to level out the power consumption characteristics of the area 100. Here, the power consumption characteristics of the area 100 are, for example, the sum of the power consumption characteristics of the plurality of facilities 10 included in the area 100.
[0019] As described above, the first processing unit 22 may set a plurality of types of electricity rate tables based on the power consumption characteristics of the area 100. In this case, the plurality of types of electricity rate tables set by the first processing unit 22 may be assigned to the same number of facilities 10, thereby leveling the power consumption characteristics of the area 100. On the other hand, the plurality of types of electricity rate tables set by the first processing unit 22 may be assigned with a different number of facilities 10, thereby leveling the power consumption characteristics of the area 100.
[0020] The plurality of electricity rate tables may have the same average daily electricity rate. As a result, it is possible to prevent disparities in electricity rates due to the electricity rate tables assigned. The electricity rate tables may also be rotated. For example, a different electricity rate table may be assigned to the facility 10 on a daily basis.
[0021] The second processing unit 23 allocates the multiple types of electricity rate tables set by the first processing unit 22 to the multiple facilities 10. For example, the second processing unit 23 may allocate the multiple types of electricity rate tables evenly to the multiple facilities 10 included in the area 100. For example, if there are three facilities 10 in the area 100 as shown in FIG. 1 , the second processing unit 23 allocates three different types of electricity rate tables to each facility 10. The second processing unit 23 may also allocate the electricity rate tables randomly. From the perspective of controlling the power consumption characteristics of the area 100, the second processing unit 23 may adjust the number of facilities 10 to which each electricity rate table is allocated before allocation.
[0022] When the first processing unit 22 sets an electricity rate table based on the power consumption characteristics of each of the multiple facilities 10, the second processing unit 23 similarly assigns an electricity rate table based on the power consumption characteristics of each of the multiple facilities 10.
[0023] As a specific example, the second processing unit 23 assigns to the facility 10 an electricity rate table in which electricity rates are high during time periods when the facility 10 consumes a lot of electricity. This makes it possible to suppress power consumption during time periods when power consumption is high in the facility 10 and encourage power consumption during time periods when power consumption is low. In other words, it is possible to level out the power consumption characteristics in the facility 10.
[0024] On the other hand, the second processing unit 23 may randomly assign electricity rate tables in an area 100 including a plurality of facilities 10 without considering various circumstances in each facility 10. As a result, it is possible to more efficiently level the power consumption characteristics regardless of the circumstances in each facility 10.
[0025] When the second processing unit 23 of the server 20 assigns an electricity rate table to the facility 10, the facility 10 consumes electricity while adjusting the operating times of specific devices based on the assigned electricity rate table. As will be described in detail later, the control device 30 installed in the facility 10 controls specific devices installed in the facility 10, such as the water heater 12, EV charging device 13, and fuel cell 14, based on the electricity rate table so that they consume electricity during times when electricity rates are low. Furthermore, the operation of the specific devices is suppressed during times when electricity rates are high. This allows the specific devices to be controlled based on the electricity rate table. Therefore, the power characteristics of the facility 10 as a whole can be adjusted, i.e., power consumption can be suppressed or promoted. Furthermore, by adjusting the power consumption characteristics of multiple facilities 10, it is possible to control the power consumption characteristics of the area 100.
[0026] The server 20 may include a third processing unit 24 that classifies the multiple facilities 10 into groups. The third processing unit 24 classifies the multiple facilities 10 into two or more groups. The groups may be classified by dividing the multiple facilities 10 equally, or the number of facilities 10 included in each group may vary. For example, there may be a group that includes only one facility 10. The second processing unit 23 assigns the electricity rate table set by the first processing unit 22 to each group.
[0027] The third processing unit 24 may classify a plurality of facilities 10 into two or more groups based on the power consumption characteristics of the facilities 10. For example, the third processing unit 24 may classify facilities 10 having similar power consumption characteristics into groups. The first processing unit 22 may set an electricity rate table based on the power consumption characteristics of the classified groups. In this case, the second processing unit 23 assigns an electricity rate table to each group based on the power consumption characteristics of the classified groups.
[0028] The third processing unit 24 may classify the facilities 10 into two or more groups based on the area in which the facilities 10 are constructed. For example, the third processing unit 24 may divide the region 100 into a plurality of areas and classify the facilities 10 included in each area into a group. The second processing unit 23 assigns an electricity rate table to each group.
[0029] The classification of the facility 10 and the electricity rate table according to this embodiment will be specifically described with reference to Figs. 3 to 6. Fig. 3 is a diagram illustrating an example of the classification of the facility 10. Fig. 4 is a diagram illustrating an example of the electricity rate table. In Fig. 4, the vertical axis represents the electricity rate and the horizontal axis represents time. Fig. 5 is a diagram illustrating an example of the power consumption characteristics of the facility 10. In Fig. 5, the vertical axis represents the power consumption and the horizontal axis represents time.
[0030] The third processing unit 24 classifies the facilities 10 in the area 100 into three groups as shown in Fig. 3. The third processing unit 24 classifies the facilities 10 into, for example, a first group including the facility 10A shown in white, a second group including the facility 10B shown with a light dot, and a third group including the facility 10C shown with a dark dot. Although not shown in Fig. 3, all of the facilities 10 in the area 100 are connected to the server 20 so as to be able to communicate with each other.
[0031] The first processing unit 22 sets three types of electricity rate tables shown in Figures 4(A), 4(B), and 4(C). The electricity rate tables shown in Figures 4(A), 4(B), and 4(C) have different electricity rate patterns. In detail, the power consumption characteristics of each table differ mainly in the time periods when electricity rates are low.
[0032] The second processing unit 23 assigns the electricity rate table of Fig. 4(A) to the first group. Similarly, it assigns the electricity rate table of Fig. 4(B) to the second group and the electricity rate table of Fig. 4(C) to the third group. The power consumption characteristics of the facilities 10 included in each of the first, second, and third groups are shown in Fig. 5.
[0033] The specific devices installed in the facility 10A included in the first group consume power based on the electricity rate table of FIG. 4(A) assigned to the second processing unit 23. The specific devices are devices that do not cause problems even if the time period of use changes depending on the electricity rate. Examples of the specific devices include a water heater 12, an EV charging device 13, and a fuel cell 14. In the facility 10A, the control device 30 installed in the facility 10A controls the specific devices to reduce electricity rates based on the assigned electricity rate table. For example, the control device 30 charges the EV using the EV charging device 13 during times when electricity rates are low.
[0034] The power consumption characteristics of the facility 10A are, for example, as shown in Fig. 5(A). The power consumption characteristics of the facility 10A are such that the power consumption is greatest during the time period when the electricity rate is low in the electricity rate table of Fig. 4(A) due to power control by the control device 30. The other facilities 10 included in the first group also have similar power consumption characteristics.
[0035] Similarly, specific equipment installed in facility 10B included in the second group consumes power based on the electricity rate table of FIG. 4(B) assigned to the second processing unit 23. Here, the power consumption characteristics of facility 10B are, for example, power consumption characteristics as shown in FIG. 5(B). Due to power control by the control device 30, the power consumption characteristics of facility 10B are such that power consumption is greatest during the time period when electricity rates are low in the electricity rate table of FIG. 4(B). The other facilities 10 included in the second group also have similar power consumption characteristics.
[0036] Similarly, specific equipment installed in facility 10C included in the third group consumes power based on the electricity rate table of FIG. 4(C) assigned to the second processing unit 23. The power consumption characteristics of facility 10C are, for example, power consumption characteristics as shown in FIG. 5(C). Due to power control by the control device 30, the power consumption characteristics of facility 10C are such that power consumption is greatest during the time period when electricity rates are low in the electricity rate table of FIG. 4(C). The other facilities 10 included in the third group also have similar power consumption characteristics.
[0037] By adding up the power consumption characteristics of the first group, the second group, and the third group shown in Figures 5(A), 5(B), and 5(C), it is possible to obtain the power consumption characteristics of the entire area 100 as shown in Figure 6(A). On the other hand, the power consumption characteristics shown in Figure 6(B) are the power consumption characteristics of the area 100 when one electricity rate table is assigned to multiple facilities 10 included in the area 100. The power consumption characteristics shown in Figure 6(B) are the power consumption characteristics of the area 100 when, for example, the electricity rate table of Figure 4(A) is assigned to all of the facilities 10 in the area 100.
[0038] The power consumption characteristics shown in Figure 6(A) do not have significant peaks compared to the power consumption characteristics in Figure 6(B) because the peak power consumption times are different for the first, second, and third groups. In other words, the power consumption characteristics of the area 100 are leveled out.
[0039] In the above, the power management system 1 is described as classifying the facilities 10 in the area 100 into groups and assigning a different electricity rate table to each group, but it is also possible to set and assign different electricity rate tables to multiple facilities 10 located in the area 100 without classifying them into groups.
[0040] The electricity rate table set by the first processing unit 22 may be stored in the server 20. The set electricity rate table is assigned to the facility 10 classified by the second processing unit 23. Furthermore, although this will be described in detail later, the electricity rate table may be configured to be acquired from the server 20 by the communication unit 32 of the facility 10.
[0041] The electricity rate table may be changed at predetermined intervals. The predetermined interval may be, for example, one week or one day. This allows for more detailed control of the amount of power consumed in the area 100. Furthermore, the change in the electricity rate table may be notified to the facility 10 before the new electricity rate table is applied. That is, the electricity rate table to be applied the next day may be notified the day before. This makes it easier for the facility 10 to plan power management in advance. This allows the facility 10 to use the water heater 12 during a time period when electricity rates are lower the next day, or to charge the EV using the EV charging device 13. Furthermore, if a power shortage is expected the next day, an electricity rate table with a higher electricity rate than usual may be set and notified to the facility 10 the day before, allowing for advance storage of electricity and heat.
[0042] The server 20 may have a threshold setting unit (not shown) that sets thresholds for classifying the multiple facilities 10. As will be described in detail later, the third processing unit 24 may classify the multiple facilities 10 into groups based on the thresholds set by the threshold setting unit.
[0043] The threshold setting unit sets one or more thresholds based on a combined power consumption characteristic, which is a value obtained by adding up the power consumption characteristics of multiple facilities 10 located in the area 100. The combined power consumption characteristic is, for example, the power consumption characteristic of the entire area 100, as shown in FIG.
[0044] In detail, the threshold setting unit sets the threshold based on the highest power consumption (peak power consumption) in the combined power consumption characteristics. The threshold setting unit may set the threshold to, for example, a power consumption that is a predetermined percentage of the peak power consumption. For example, the threshold may be set to 90% of the peak power consumption. The set threshold is divided by the number of households in the multiple facilities 10 when calculating the combined power consumption. This makes it easy to compare the threshold with the power consumption of each facility 10.
[0045] The third processing unit 24 classifies the facilities 10 based on the magnitude relationship between the power consumption of each of the facilities 10 during the time when the power consumption is highest in the combined power consumption characteristics and the set threshold. Hereinafter, the power consumption of each of the facilities 10 during the time when the power consumption is highest in the combined power consumption characteristics will be referred to as the reference power consumption.
[0046] In more detail, when there is a single threshold, the third processing unit 24 classifies the multiple facilities 10 based on whether the reference power consumption is equal to or greater than the threshold. When there are multiple thresholds, the facilities 10 are classified into facilities 10 whose reference power consumption is equal to or greater than the largest threshold, facilities 10 whose reference power consumption is between the multiple thresholds, and facilities 10 whose reference power consumption is less than the smallest threshold. As will be described in more detail later, the classified facilities 10 may be assigned the same electricity rate table for each classification.
[0047] The first processing unit 22 sets electricity rate tables with different electricity rates based on the magnitude relationship between the threshold and the amount of power consumed by each of the multiple facilities 10 during the time when the amount of power consumed is the highest in the combined power consumption characteristics. Specifically, when there is a single threshold, an electricity rate table with a higher electricity rate during the time when the amount of power consumed is the highest in the combined power consumption characteristics is set for the facility 10 that consumes power equal to or greater than the threshold during the time when the amount of power consumed is the highest in the combined power consumption characteristics, compared to a facility 10 that consumes power less than the threshold. The second processing unit 23 assigns an electricity rate table to each facility 10 based on the magnitude relationship.
[0048] An example of a facility 10 will be described in detail using FIG. 7. FIG. 7 is a diagram illustrating the facility 10 according to an embodiment. As shown in FIG. 7, the facility 10 includes a control device 30 for controlling a water heater 12, an EV charging device 13, and a fuel cell 14 installed in the facility 10. The facility 10 also includes a distribution board 50 for distributing power supplied from a power grid, the fuel cell 14, a solar power generation device 40 (described later), and the like, to loads within the facility 10. The loads are, for example, devices 11 installed in the facility 10. The devices 11 include, for example, lighting, a refrigerator, a television, an air conditioner, and the like. The loads may also include the water heater 12 for boiling water and the EV charging device 13 for charging an electric vehicle. In FIG. 7, solid lines with arrows indicate power supply. Solid lines without arrows indicate information exchange.
[0049] The control device 30 is constructed by a computer equipped with one or more devices including, for example, a processor (CPU), memory, input / output ports, etc. In other words, the control device 30 can be configured by one or more devices. Furthermore, the control device 30 may be constructed by one or more servers, part of whose system is connected by a network such as the Internet.
[0050] The control device 30 includes a power control unit 31 that controls power within the facility 10. It also includes a communication unit 32 that communicates with the server 20 to exchange information such as an electricity rate table, and a storage unit 33 that stores acquired information (see FIG. 2). The power control unit 31 may control specific devices such as the water heater 12, EV charging device 13, and fuel cell 14 that are installed within the facility 10 based on the electricity rate table set by the server 20. For example, during times when electricity rates are low, the water heater 12 may be used to boil water, and the EV charging device 13 may be used to charge an electric vehicle (EV). Furthermore, power may be output from the fuel cell 14 during times when electricity rates are high.
[0051] The communication unit 32 may acquire the electricity rate table by communicating with the server 20. That is, the communication unit 32 may acquire the electricity rate table without waiting for the electricity rate table to be transmitted from the server 20. The electricity rate table acquired from the server 20 is stored in the memory unit 33.
[0052] The facility 10 may be equipped with a solar power generation system 40 as a power generation means for generating electricity. The solar power generation system 40 is a power generation system that is composed of a plurality of solar cell modules and converts solar energy into electrical energy through the photovoltaic effect. A power conditioner 41 (hereinafter referred to as "power conditioner 41") connected to the solar power generation system 40 is a power conversion device that is composed of power conversion circuits such as a DC-DC converter and a DC-AC converter. The power conditioner 41 converts the DC power generated by the solar power generation system 40 into AC power and supplies it to the facility 10 through a distribution board 50.
[0053] The power storage device 42 is composed of a secondary battery that can be repeatedly charged and discharged. Surplus power generated by a power generation facility such as the solar power generation device 40 and not used by loads such as the above-mentioned devices 11 is charged into the power storage device 42. The surplus power charged into the power storage device 42 is used for charging an EV, etc., at night when the solar power generation device 40 is not generating power. In addition, the power converted from DC to AC by the power conditioner 41 is converted back to DC by a power conditioner 43 (hereinafter referred to as "power conditioner 43") and stored in the power storage device 42. In the example shown in FIG. 7, power conditioners 41 and 43 are provided, but they can also be integrated.
[0054] As described above, the power management system having the above configuration can set and allocate electricity rate tables with different electricity rates to a plurality of facilities 10 located in the area 100. As a result, it is possible to control the power consumption characteristics of the entire area 100 in which the facilities 10 are located. This makes it possible to adjust the balance between power supply and demand in the area 100. Furthermore, by leveling the amount of power consumption in the area 100, the power company does not need to generate power in preparation for peak times, thereby reducing wasted power.
[0055] The above-described embodiment can be appropriately modified in design without impairing the purpose of the present disclosure. For example, the power management system 1 may include an information terminal 60 that can be used by residents of the facility 10. The information terminal 60 may be installed within the facility 10. The server 20 may request permission from the residents regarding the allocation of the electricity rate table via the information terminal 60. In this case, the second processing unit 23 allocates the electricity rate table to the facility 10 on the condition that permission is obtained. On the other hand, if permission is not obtained, the second processing unit 23 allocates the conventional electricity rate table.
[0056] Furthermore, the first processing unit 22 may further set the electricity rate table based on at least one of the predicted amount of power generation, weather information, calendar information, the market price of electricity, and the schedule of the resident.
[0057] The power generation prediction is, for example, a prediction of the amount of power generation for the next day. The first processing unit 22 sets an electricity rate table based on the power generation prediction. For example, in the case of an area 100 (e.g., a remote island or a smart city) that relies heavily on solar power generation for its power supply, the amount of power generation may fluctuate greatly depending on the weather on the next day. If the amount of power generation for the next day is predicted to be low, the first processing unit 22 sets the electricity rate table to suppress power consumption in the area 100 during times when power is expected to be tight.
[0058] The weather information is, for example, weather information for the next day, and the first processing unit 22 sets the electricity rate table based on the weather information. For example, if the weather forecast for the next day is rain, it is predicted that the amount of power consumed from the power grid of the facility 10 having the solar power generation device 40 will be greater than on a sunny day. Therefore, since it is predicted that the amount of power consumed in the area 100 will be greater than on a sunny day, the electricity rate table is set to resolve this.
[0059] The calendar information is, for example, information about weekdays or holidays, and the first processing unit 22 sets the electricity rate table based on the calendar information. For example, the first processing unit 22 stores the power consumption patterns for weekdays and holidays and sets the electricity rate table according to the power consumption patterns.
[0060] The market price of electricity is, for example, the market price of electricity on the next day, and the first processing unit 22 sets the electricity rate table based on the market price of electricity.
[0061] The resident's schedule may be predicted from the behavioral patterns of the resident of the facility 10, or may be schedule information input by the resident. For example, the resident's daily power consumption pattern is stored, and the electricity rate table is set based on the daily power consumption pattern. The first processing unit 22 may also set the electricity rate table by combining the above multiple conditions.
[0062] The present disclosure is further illustrated by the following embodiments. Configuration 1: A power management system for stably supplying power to an area including a plurality of facilities, An energy management system comprising: a first processing unit that sets a plurality of different electricity rate tables; and a second processing unit that allocates the plurality of electricity rate tables to each of the plurality of facilities. Configuration 2: The power management system described in Configuration 1, wherein the first processing unit sets the plurality of types of electricity rate tables based on the power consumption characteristics of each of the plurality of facilities, and the second processing unit assigns the plurality of types of electricity rate tables to each of the plurality of facilities based on the power consumption characteristics. Configuration 3: The power management system according to configuration 1 or 2, wherein the power consumption characteristics are the amount of power consumed in each of the plurality of facilities during a time period. Configuration 4: A third processing unit is provided that classifies the plurality of facilities into two or more groups, 4. The power management system according to any one of configurations 1 to 3, wherein the second processing unit allocates the plurality of types of electricity rate tables to each of the groups. Configuration 5: The power management system described in Configuration 4, wherein the third processing unit classifies the plurality of facilities into two or more groups based on the power consumption characteristics of each of the facilities, the first processing unit sets the plurality of types of electricity rate tables based on the power consumption characteristics, and the second processing unit assigns the plurality of types of electricity rate tables to each of the groups based on the power consumption characteristics. Configuration 6: The power management system described in configuration 4 or 5, wherein the third processing unit classifies the plurality of facilities into two or more groups based on the area in which the facilities are constructed, and the second processing unit assigns the plurality of types of electricity rate tables to each of the groups. Configuration 7: The power management system according to Configuration 4, comprising: a power consumption acquisition unit that measures the power consumed by the plurality of facilities to which power is supplied from a power grid and acquires the power consumption amount; and a threshold setting unit that sets one or more thresholds based on an aggregate power consumption characteristic obtained by aggregating the power consumption characteristics of the plurality of facilities, wherein a third processing unit classifies the plurality of facilities based on a magnitude relationship between the threshold and the power consumption of each of the plurality of facilities during a time when the power consumption is highest in the aggregate power consumption characteristic; the first processing unit sets the plurality of different electricity rate tables based on the magnitude relationship between the threshold and the power consumption of each of the plurality of facilities during a time when the power consumption is highest in the aggregate power consumption characteristic; and the second processing unit assigns the plurality of electricity rate tables to the plurality of facilities based on the magnitude relationship. Configuration 8: The power management system according to any one of configurations 1 to 7, wherein the first processing unit changes the plurality of types of electricity rate tables every predetermined period. Configuration 9: The power management system described in any one of configurations 1 to 8, wherein the second processing unit requests permission from the residents of the facility regarding the allocation of the electricity rate table, and allocates the electricity rate table to the facility on the condition that permission is obtained. Configuration 10: The power management system according to any one of configurations 1 to 9, wherein the first processing unit further sets the plurality of types of electricity rate tables based on at least one of power generation forecast, weather information, calendar information, market price of electricity, and schedules of residents of the facility. [Explanation of symbols]
[0063] 1 Power management system, 10 Facility, 11 Equipment, 12 Water heater, 13 EV charging device, 14 Fuel cell, 20 Server, 21 Power consumption acquisition unit, 22 First processing unit, 23 Second processing unit, 24 Third processing unit, 30 Control device, 31 Power control unit, 32 Communication unit, 33 Memory unit, 40 Photovoltaic power generation device, 41, 43 Power conditioner (power conditioner), 42 Power storage device, 50 Distribution board, 60 Information terminal, 100 Region
Claims
1. A power management system for stably supplying power to an area including a plurality of facilities, a first processing unit that sets a plurality of different electricity rate tables; a second processing unit that allocates the plurality of types of electricity rate tables to each of the plurality of facilities; A power management system comprising:
2. the first processing unit sets the plurality of types of electricity rate tables based on power consumption characteristics of each of the plurality of facilities; The power management system according to claim 1 , wherein the second processing unit allocates the plurality of types of electricity rate tables to each of the plurality of facilities based on the power consumption characteristics.
3. The power management system according to claim 2 , wherein the power consumption characteristics are amounts of power consumed in each time period of the plurality of facilities.
4. a third processing unit that classifies the plurality of facilities into two or more groups; The power management system according to claim 1 , wherein the second processing unit allocates the plurality of types of electricity rate tables to each of the groups.
5. the third processing unit classifies the plurality of facilities into two or more groups based on power consumption characteristics of each of the facilities; the first processing unit sets the plurality of types of electricity rate tables based on the power consumption characteristics; The power management system according to claim 4 , wherein the second processing unit allocates the plurality of types of electricity rate tables to each of the groups based on the power consumption characteristics.
6. the third processing unit classifies the plurality of facilities into two or more groups based on areas in which the facilities are constructed; The power management system according to claim 4 , wherein the second processing unit allocates the plurality of types of electricity rate tables to each of the groups.
7. a power consumption amount acquiring unit that measures power consumed by the plurality of facilities to which power is supplied from the power grid and acquires the power consumption amount; a threshold setting unit that sets one or more thresholds based on a combined power consumption characteristic obtained by combining the power consumption characteristics of the plurality of facilities; Equipped with the third processing unit classifies the plurality of facilities based on a magnitude relationship between the threshold and the amount of power consumption of each of the plurality of facilities during a time when the amount of power consumption is the highest in the combined power consumption characteristics; the first processing unit sets the plurality of different electricity rate tables based on the magnitude relationship between the threshold and the amount of power consumption of each of the plurality of facilities during a time when the amount of power consumption is the highest in the combined power consumption characteristics; The power management system according to claim 4 , wherein the second processing unit allocates the plurality of types of electricity rate tables to the plurality of facilities based on the magnitude relationship.
8. The power management system according to claim 1 , wherein the first processing unit changes the plurality of types of electricity rate tables every predetermined period.
9. the second processing unit requests permission from a resident of the facility regarding allocation of an electricity rate table; The power management system according to claim 1 , wherein an electricity rate table is assigned to a facility on the condition that permission is obtained.
10. The first processing unit further sets the plurality of types of electricity rate tables based on at least one of a power generation forecast, weather information, calendar information, a market price of electricity, and a schedule of residents of the facility. The power management system according to any one of claims 1 to 9.
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Demand response control system and method
JP2022012163A