JP6471949B2 - Demand management apparatus and demand management method - Google Patents

Description

  The present invention relates to a demand management device and the like for performing control according to hot water supply demand.

  Conventionally, techniques for controlling a plurality of water heaters have been proposed. The technique described in Patent Document 1 is an example.

  Specifically, the water heater control device described in Patent Document 1 totals the amount of heat used per day in a hot water storage type hot water heater that is received from a plurality of hot water storage type hot water heaters. Moreover, the hot water heater control device calculates the maximum amount of heating heat allowed within each period in each hot water storage type hot water heater based on the total result, the midnight operation rate, and the number of hot water storage type hot water heaters. The water heater control device transmits the calculated maximum amount of heating heat allowed within each period in each hot water storage type water heater to the plurality of water heater control devices. Note that the maximum amount of heating heat is calculated by weighting the tank capacity of the hot water storage type hot water heater.

  Thereby, in the case of controlling a plurality of water heaters, leveling of the electric power load is promoted, and the operation of each water heater is made efficient.

JP 2012-97949 A

  However, since the maximum amount of boiling heat is calculated by weighting the tank capacity, the amount of hot water to be prepared is limited according to the tank capacity. Therefore, there is a possibility that harmful effects such as running out of hot water may occur due to the unique hot water supply demand of each consumer.

  Therefore, the present invention provides a demand management device and the like that can suppress the occurrence of harmful effects caused by the specific hot water supply demand of each individual consumer while performing control according to the hot water supply demand of the entire consumer group.

  In order to achieve the above object, a demand management apparatus according to an aspect of the present invention provides a plurality of demands from an acquisition unit that acquires hot water supply demand information indicating respective hot water supply demands of a plurality of consumers, and the hot water supply demand information. A derivation unit for deriving an individual hot water supply demand trend that is a trend of each hot water supply demand of the house and an overall hot water supply demand trend that is a trend of the overall hot water supply demand of the plurality of consumers, and among the plurality of consumers, A selection unit that selects a consumer that is determined that the individual hot water supply demand trend does not deviate from the overall hot water supply demand trend, and a generation unit that generates a control instruction according to the overall hot water demand trend And a transmission unit that transmits the control instruction to the customer to be controlled.

  Moreover, the demand management method which concerns on 1 aspect of this invention WHEREIN: The hot water supply demand information which shows each hot water supply demand of a some consumer and the hot water supply information of each of these several consumers from the said hot water supply demand information A derivation step of deriving an individual hot water supply demand trend that is a trend of demand and an overall hot water supply demand trend that is a trend of the overall hot water supply demand of the plurality of consumers; and the individual hot water demand trend of the plurality of consumers Selecting a consumer that is determined not to deviate from the overall hot water supply demand trend as a control target consumer, generating a control instruction corresponding to the overall hot water demand trend, and the control target Transmitting the control instruction to the customer.

  The demand management device and the like according to one aspect of the present invention can suppress the occurrence of harmful effects caused by the unique hot water supply demand of individual consumers while performing control according to the hot water supply demand of the entire consumer group.

FIG. 1 is a graph showing a power demand curve of the entire consumer group in the reference example. FIG. 2 is a conceptual diagram showing allocation of a midnight boiling target amount in the reference example. FIG. 3 is a block diagram illustrating a configuration of the demand management system according to the embodiment. FIG. 4 is a block diagram illustrating a configuration of the demand management apparatus according to the embodiment. FIG. 5 is a graph showing the integrated hot water supply load factor in the embodiment. FIG. 6 is a flowchart illustrating the operation of the demand management apparatus according to the embodiment. FIG. 7 is a flowchart illustrating operations of the deriving unit and the selection unit in the embodiment. FIG. 8 is a sequence diagram illustrating the operation of the demand management apparatus according to the embodiment. FIG. 9 is a sequence diagram illustrating a specific example of the operation of the demand management apparatus according to the embodiment. FIG. 10 is a block diagram illustrating a configuration of a modified example of the demand management apparatus according to the embodiment. FIG. 11 is a flowchart illustrating an operation of a modification of the demand management device according to the embodiment.

(Knowledge that became the basis of the present invention)
This inventor discovered the subject regarding control of several water heaters etc. which belong to several consumers. This will be specifically described below.

  FIG. 1 is a graph showing a power demand curve of the entire consumer group in the reference example. The power demand curve shown in FIG. 1 is, for example, a power demand curve of a housing group with respect to the power system.

  In this example, as indicated by a dotted line, the power demand excluding the power consumption of the water heater decreases during the day and midnight and increases during the morning and night. In addition, due to the influence of solar power generation and the like used in homes, the power demand becomes smaller at noon than at midnight.

  The water heater performs boiling at midnight in order to prepare hot water to be used on the next day or the next day. Therefore, as indicated by the one-dot chain line in FIG. 1, the overall power demand including the power consumption of the water heater is the largest at midnight and the smallest during the day. In order to moderate such changes in power demand, that is, to bring the power demand curve of the entire customer group closer to the target power demand curve, the water heater is designed to reduce boiling at midnight and boil it in the daytime. It has been considered to control.

  And since the electric power demand curve of the whole consumer group approaches the target electric power demand curve, an electric power system can supply electric power stably with respect to the whole consumer group. For example, such control of a water heater is performed in response to a request for adjusting power demand from the power system.

  Note that the water heater supplies hot water after boiling with electric energy. Therefore, the timing at which the water heater boils with electric energy and the timing at which the water heater performs hot water supply may be different. That is, the timing at which the power demand related to the hot water heater is generated may be different from the timing at which the hot water demand related to the water heater is generated. However, these timings may cause hot water or heat dissipation loss.

  FIG. 2 is a conceptual diagram showing allocation of a midnight boiling target amount in the reference example. The midnight boiling target amount corresponds to the upper limit of the boiling amount at midnight. The midnight boiling target amount for the entire consumer group is determined such that the power demand curve for the entire consumer group approaches the target power demand curve.

  In the example of FIG. 2, the midnight boiling target amount is assigned according to the tank capacity of each customer. Specifically, the midnight boiling target amount of the entire consumer group is 300L. The tank capacity of customer A is 200L. The tank capacity of customer B is 300L. Therefore, of 300L, 120L is allocated to the midnight boiling target amount of the customer A, and 180L is allocated to the midnight boiling target amount of the customer B.

  Then, a control instruction for controlling the midnight boiling target amount to 120 L is transmitted to the consumer A, and a control instruction for controlling the midnight boiling target amount to 180 L is transmitted to the consumer B. Thereby, the boiling amount of the consumer A at midnight is limited to 120L or less, and the boiling amount of the customer B at midnight is limited to 180L or less.

  For example, in customer A, 120 L of water is heated at midnight, so that the amount of stored hot water reaches 120 L at the start of the morning time zone. At the customer B, the amount of hot water storage reaches 180 L at the start of the morning time zone by boiling 180 L at midnight.

  In the customer A, a hot water supply demand of 30 L is generated in the morning time zone, but smooth hot water supply is possible with hot water heated up at midnight. On the other hand, in customer B, 240 L of hot water supply demand is generated in the morning time zone. This demand for hot water supply is greater than the amount of hot water stored at midnight. Therefore, hot water runs out and hinders smooth hot water supply.

  That is, when control according to the hot water supply demand of the whole consumer group is performed, there is a possibility that harmful effects such as running out of hot water may occur due to the unique hot water supply demand of individual consumers.

  Therefore, a demand management device according to an aspect of the present invention includes an acquisition unit, a derivation unit, a selection unit, a generation unit, and a transmission unit. An acquisition part acquires the hot water supply demand information which shows each hot water supply demand of a some consumer. The deriving unit derives, from the hot water supply demand information, an individual hot water supply demand trend that is a tendency of each hot water supply demand of a plurality of consumers, and an overall hot water supply demand trend that is a trend of the overall hot water supply demand of the plurality of consumers.

  A selection part selects the consumer judged that the individual hot-water supply demand tendency does not deviate from the whole hot-water supply demand tendency among several consumers as a control object consumer. A production | generation part produces | generates the control instruction | indication according to the whole hot water supply demand tendency. The transmission unit transmits a control instruction to the customer to be controlled.

  As a result, the demand management device selects a customer to be controlled by excluding a customer with a unique hot water supply demand from a plurality of customers, and transmits a control instruction according to the overall hot water demand to the customer to be controlled. can do. Therefore, the demand management apparatus can suppress the occurrence of harmful effects caused by the unique hot water supply demand of each individual consumer while performing control according to the hot water supply demand of the entire consumer group.

  The comprehensive or specific aspect related to the above may be realized by a non-transitory recording medium such as a system, apparatus, method, integrated circuit, computer program, or computer-readable CD-ROM. It may be realized by various combinations.

  Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. It should be noted that each of the embodiments described below shows a comprehensive or specific example. Numerical values, shapes, materials, components, arrangement positions and connection forms of components, order of operations, and the like shown in the following embodiments are merely examples, and are not intended to limit the present invention. In addition, among the constituent elements in the following embodiments, constituent elements that are not described in the independent claims indicating the highest concept are described as arbitrary constituent elements.

  Moreover, electric power and electric energy may mean those values. The power amount may be a power amount per unit time.

  A consumer may mean a customer's facility, a customer's equipment, or a customer's system. The hot water supply demand corresponds to the amount of hot water supply. Further, the amount of boiling may correspond to the amount of hot water to be boiled, or may correspond to the amount of heat or electric power used for boiling. In the following description, the ordinal numbers such as first, second, and third may be appropriately replaced, omitted, or newly added.

(Embodiment)
FIG. 3 is a block diagram showing the configuration of the demand management system in the present embodiment. The demand management system 100 shown in FIG. 3 includes a demand management device 200, a plurality of device control devices 401, and a plurality of water heaters 402. Each of the plurality of consumers has a device control device 401 and a water heater 402. The appliance control device 401 and the water heater 402 of one consumer are connected so as to communicate with each other. The demand management device 200 and the plurality of device control devices 401 are connected to each other via a communication network 300 so as to communicate with each other.

  The demand management apparatus 200 is an apparatus for performing control according to hot water supply demand. The demand management apparatus 200 may be a computer that performs information processing.

  For example, the demand management apparatus 200 acquires hot water supply demand information by receiving hot water supply demand information indicating the hot water supply demand of the consumer from each of the plurality of consumers via the communication network 300. And the demand management apparatus 200 produces | generates a control instruction | indication, and transmits a control instruction | indication via the communication network 300 to the consumer of a control object.

  This control instruction is a control instruction according to the trend of hot water supply demand of a plurality of consumers. For example, as shown in FIG. 1, a control instruction for bringing the power demand curve of the plurality of consumers closer to the target power demand curve. It is. More specifically, the control instruction may be a control instruction for limiting the amount of boiling or the amount of stored hot water, or may indicate the amount of boiling or the amount of stored hot water. In the control instruction, the boiling amount or the hot water storage amount may be indicated as the upper limit.

  Moreover, the tendency of the hot water supply demand is a characteristic of the hot water supply demand, and includes, for example, a hot water supply load factor for each time zone. The hot water supply load factor for each time zone is the ratio of the hot water supply demand for each time zone to the daily hot water demand. The trend of hot water supply demand may include information indicating the average of hot water supply load rates for a plurality of days for each time zone, or may include information indicating standard deviation of the hot water supply load factors for a plurality of days for each time zone.

  Here, the time zone is a time zone shorter than one day. The time zone may be a time zone such as morning, noon, night, or midnight, may be a time zone of every hour, a time zone of a shorter time interval, or a time zone of a longer time interval. Good. Moreover, the several time slot | zone in one day may be mutually the same length, and does not need to be the same length mutually.

  The communication network 300 is a network for performing wired or wireless communication. The communication network 300 may be the Internet.

  The device control device 401 is a device for controlling consumer devices. The device control apparatus 401 may be a HEMS (Home Energy Management System) controller.

  For example, the device control apparatus 401 acquires hot water supply demand information indicating the hot water supply demand of the consumer from the hot water heater 402 and transmits the hot water supply demand information to the demand management apparatus 200 via the communication network 300. Moreover, the device control apparatus 401 receives a control instruction from the demand management apparatus 200 via the communication network 300, and controls the operation of the water heater 402 according to the control instruction.

  The water heater 402 is an electric water heater that boils hot water, stores the hot water in a tank, and supplies the hot water. The water heater 402 may be a heat pump type water heater. For example, the water heater 402 operates according to the control performed by the device control device 401 according to the control instruction. Moreover, the hot water heater 402 may accumulate hot water demand information indicating the hot water demand of the consumer and boil the hot water according to the hot water demand information.

  For example, the device control apparatus 401 limits the range of the amount of boiling of the water heater 402 according to the control instruction. The water heater 402 boils hot water within a limited range. Thereby, the hot water heater 402 can boil hot water in accordance with the hot water supply demand of the customer within the range of control performed by the device control device 401.

  FIG. 4 is a block diagram showing a configuration of the demand management apparatus 200 shown in FIG. As shown in FIG. 4, the demand management apparatus 200 includes an acquisition unit 201, a derivation unit 202, a selection unit 203, a generation unit 204, and a transmission unit 205.

  The acquisition unit 201 is an acquisition unit that acquires hot water supply demand information indicating each hot water supply demand of a plurality of consumers. The acquisition unit 201 may further acquire power demand information indicating each power demand of a plurality of consumers. Moreover, the acquisition part 201 may acquire the apparatus state information which shows the state of each water heater 402 or another apparatus of a some consumer further. The acquisition unit 201 may further acquire other information related to the consumer. Hot water supply demand information, power demand information, equipment state information, and other information may be expressed as customer data.

  The acquisition unit 201 may acquire hot water supply demand information and the like by receiving hot water supply demand information and the like from the consumer device control device 401 via the communication network 300 every unit time. Here, the unit time is, for example, 30 minutes.

  For example, the acquisition unit 201 uses the power consumption amount of the water heater 402, the power consumption amount other than the water heater 402, the 42 ° C equivalent hot water supply amount, the tank capacity of the water heater 402, the 42 ° C equivalent tank hot water amount, or a combination thereof. To get.

  Note that the power consumption other than that of the water heater 402 corresponds to the amount of power obtained by subtracting the power consumption of the water heater 402 from the main power. The acquisition unit 201 acquires the power consumption amount of the water heater 402 and the main power amount, and subtracts the power consumption amount of the water heater 402 from the main power amount to acquire the power consumption amount other than the water heater 402. Also good. Moreover, the acquisition part 201 may acquire 42 degreeC conversion hot water supply amount by acquiring the amount of hot water discharged from the water heater 402, and the hot water temperature, or 42 degreeC conversion hot water supply amount by acquiring the calorie | heat amount of tapping hot water. May be obtained.

  The acquisition unit 201 may acquire the tank capacity of the water heater 402 only when the tank capacity of the water heater 402 is registered or changed. Moreover, the acquisition part 201 may acquire the amount of hot water in a 42 degreeC conversion tank by acquiring the temperature and quantity of the hot water in the tank of the water heater 402.

  Moreover, the acquisition part 201 may be provided with a memory | storage part and may accumulate | store the acquired hot water supply demand information etc. in a memory | storage part. And the acquisition part 201 may operate | move as a management part which transmits hot water supply demand information etc. to another component according to the inquiry from another component.

  The derivation unit 202 is a derivation device that derives a hot water demand trend from the hot water demand information. Specifically, deriving unit 202 derives an individual hot water supply demand trend and an overall hot water supply demand trend from the hot water supply demand information. The individual hot water demand trend is the trend of the hot water demand of each of a plurality of consumers. The overall hot water supply demand trend is a trend of the overall hot water supply demand of a plurality of consumers.

  For example, the deriving unit 202 derives a hot water supply demand trend based on hot water supply demand information indicating past hot water supply demand. The hot water supply demand trend may include the hot water supply load factor by time zone, which is the ratio of the hot water supply demand by time zone to the daily hot water demand, or the average or standard deviation of the hot water supply load factors by time zone for a plurality of days May be included. Alternatively, the hot water supply demand trend may include hot water supply demand by time zone, which is the size of hot water supply demand by time zone, and may include an average or standard deviation of hot water supply demand by time zone for a plurality of days. May be.

  In addition, the hot water supply load factor in a certain time zone means the ratio of the hot water supply demand in that time zone to the daily hot water supply demand. Here, the hot water supply load factor for each consumer may be referred to as an individual hot water supply load factor, and the hot water supply load factor of the entire consumer group may be referred to as an overall hot water supply load factor.

  The selection unit 203 is a selector that selects a customer to be controlled from a plurality of consumers. Specifically, the selection unit 203 selects, from among a plurality of consumers, a consumer who is determined that the individual hot water supply demand trend does not deviate from the overall hot water supply demand trend, as a control target consumer. The selection unit 203 extracts each of one or more consumers as a control target by extracting one or more consumers determined that the individual hot water supply demand trend is not deviated from the overall hot water supply demand trend from a plurality of consumers. You may choose as a consumer.

  For example, for each of a plurality of consumers, the selection unit 203 determines whether or not the individual hot water supply demand trend satisfies a predetermined criterion for determining that the individual hot water supply demand trend does not deviate from the overall hot water supply demand trend. Judgment is made based on the individual hot water supply demand trend derived in. And the selection part 203 selects the consumer with which the individual hot-water supply demand tendency derived | led-out by the derivation | leading-out part 202 satisfy | fills a predetermined reference | standard as a consumer of a control object. Thereby, the consumer judged that the individual hot water supply demand tendency is not deviated from the overall hot water supply demand tendency is selected as the consumer to be controlled.

  The selection unit 203 sets a consumer who is determined that the individual hot water supply demand tendency is not deviated from the overall hot water supply demand tendency based on the characteristics of the hot water supply load factor in a predetermined time period immediately after the control time period as a control target consumer. You may choose. Specifically, the selection unit 203 may exclude a consumer whose standard deviation of the individual hot water supply load factor during a predetermined time period is outside a predetermined range (first predetermined range) from the customers to be controlled. Moreover, the selection part 203 may exclude the consumer whose average hot water supply load factor of a predetermined time slot | zone is outside a predetermined range (2nd predetermined range) from the consumer of a control object.

  The generation unit 204 is a generator that generates a control instruction. Specifically, generation unit 204 generates a control instruction according to the overall hot water supply demand trend. For example, the control instruction is a control instruction for limiting the amount of boiling or hot water storage of a consumer to be controlled.

  Specifically, the amount of boiling or hot water storage of the controlled consumer is limited to a smaller amount as the hot water supply load factor of the entire consumer group is smaller in a predetermined time period after the control time period in which control is performed according to the control instruction. May be. Here, the average hot water supply load factor of the entire consumer group may be used as the hot water supply load factor of the entire consumer group. That is, the average of the total hot water supply load factor for a plurality of days may be used.

  Further, the amount of boiling or hot water storage of the control target consumer may be limited to a smaller amount as the power demand of the control target consumer in the control time zone increases. Further, the boiling amount or the hot water storage amount of the control target consumer may be limited to a smaller amount as the hot water supply demand of the control target customer in the predetermined time zone after the control time zone is smaller.

  Furthermore, the amount of boiling or hot water storage of the controlled customer is limited based on the tank capacity of the water heater 402 of the controlled customer and the amount of hot water in the 42 ° C. converted tank of the controlled customer. May be.

  And the production | generation part 204 may produce | generate the control instruction | indication which shows the amount of boiling or hot water storage allocated to the consumer of a control object as an upper limit.

  The transmission unit 205 is a transmitter that transmits a control instruction. Specifically, the transmission unit 205 transmits a control instruction to the customer to be controlled. For example, the transmission unit 205 transmits a control instruction to the consumer device control apparatus 401 via the communication network 300.

FIG. 5 is a graph showing an integrated hot water supply load factor used in the demand management apparatus 200 shown in FIG. The integrated hot water supply load factor is an integrated value of the hot water supply load factor from a predetermined time point. In FIG. 5, μ _ave indicates the average of the integrated hot water supply load factor of the entire consumer group on a plurality of days. μ ₁ represents an average of the integrated hot water supply load factors of the first consumer on a plurality of days. μ ₂ represents an average of the integrated hot water supply load factor of the second consumer on a plurality of days. In addition, each of a 1st consumer and a 2nd consumer is a consumer contained in a consumer group.

Σ _ave indicates the standard deviation of the integrated hot water supply load factor of the entire consumer group on a plurality of days. σ ₁ indicates the standard deviation of the integrated hot water supply load factor of the first consumer on multiple days. σ ₂ indicates a standard deviation of the integrated hot water supply load factor of the second consumer on a plurality of days. In particular, each of σ _ave , σ ₁ , and σ ₂ represents the standard deviation of the integrated hot water supply load factor at the end of the time period including morning and noon.

  For example, when a variation (variation) in the hot water supply load factor of a certain consumer is large, the hot water supply load factor of the consumer is likely to deviate from the hot water supply load factor of the entire consumer group. Therefore, in this case, the selection unit 203 determines that the trend of the hot water supply demand of the consumer deviates from the trend of the hot water demand of the entire consumer group, and excludes the consumer from the control target consumer.

In the example of FIG. 5, the standard deviation σ ₁ of the integrated hot water supply load factor of the first consumer is large. Therefore, the selection unit 203 determines that the trend of the hot water supply demand of the first consumer deviates from the trend of the hot water supply demand of the entire consumer group, and excludes the first consumer from the controlled customers.

  Further, when the difference between the hot water supply load factor of a certain consumer and the hot water supply load factor of the entire consumer group is large, the selection unit 203 determines that the trend of the hot water supply demand of the consumer is based on the trend of the hot water supply demand of the entire consumer group. It is determined that there is a divergence, and the customer is excluded from the customers to be controlled.

In the example of FIG. 5, the difference between the average μ ₂ of the integrated hot water supply load factor of the second consumer and the average μ _ave of the integrated hot water supply load factor of the entire consumer group is the end point of the time zone including morning and noon. Big in. Therefore, selection part 203 judges that the tendency of the hot water supply demand of the 2nd consumer has deviated from the tendency of the hot water supply demand of the whole consumer group, and excludes the 2nd consumer from the control object consumer.

  For example, when control is performed to reduce the total boiling amount or total hot water volume of the entire consumer group during the midnight hours, the total boiling amount or total hot water volume of the entire consumer group is determined according to the overall hot water supply demand trend. Reduction amount is determined. Specifically, the reduction amount may be large when the hot water supply load factor of the entire consumer group is low in the morning and noon time zones. And the larger the reduction amount of the entire consumer group is, the larger the reduction amount is assigned to each consumer.

  However, as shown in FIG. 5, the first consumer having a large fluctuation in the hot water supply load factor in the morning and noon time zones, or the second consumer having a large hot water supply load factor in the morning and noon time zones, runs out of hot water. It is likely to occur. Therefore, the selection unit 203 excludes the first consumer and the second consumer from the controlled customers.

  Thereby, the demand management apparatus 200 can suppress generation | occurrence | production of the bad effect resulting from the specific hot water supply demand of each consumer, performing the control according to the hot water supply demand of the whole consumer group. In FIG. 5, the integrated hot water supply load factor is shown for the sake of convenience, but the same theory holds even if the integrated hot water supply load factor is replaced with the hot water supply load factor.

  FIG. 6 is a flowchart showing the operation of the demand management apparatus 200 shown in FIG. The demand management apparatus 200 performs control according to hot water supply demand by performing the operation shown in FIG.

  First, the acquisition part 201 acquires the hot water supply demand information which shows each hot water supply demand of a some consumer (S101). Next, the deriving unit 202 determines, from the hot water supply demand information, an individual hot water supply demand trend that is a tendency of each hot water supply demand of a plurality of consumers, and an overall hot water supply demand trend that is a trend of the total hot water supply demand of the plurality of consumers. Is derived (S102). Next, the selection part 203 selects the consumer judged that the individual hot water supply demand tendency does not deviate from the general hot water supply demand tendency among the plurality of consumers as a control target consumer (S103).

  Next, the production | generation part 204 produces | generates the control instruction | indication according to the whole hot water supply demand tendency (S104). The transmission unit 205 transmits a control instruction to the customer to be controlled (S105).

  FIG. 7 is a flowchart showing operations of the derivation unit 202 and the selection unit 203 shown in FIG. FIG. 7 shows a specific example of the derivation process (S102) and the selection process (S103) shown in FIG.

  First, the selection unit 203 sets all the consumers as control target consumers (S201). In other words, the selection unit 203 provisionally designates all consumers as control target consumers.

  Next, the deriving unit 202 derives an individual hot water supply load factor for a predetermined time period after the control time period for each customer and for each day (S202). Here, the individual hot water supply load factor in a predetermined time zone is a ratio of the hot water supply demand in a predetermined time zone of the customer to the daily hot water demand of a certain customer. Next, the deriving unit 202 derives an average value and a standard deviation of the individual hot water supply load rates for a predetermined time period on a plurality of days for each consumer (S203). In addition, the average value of the individual hot water supply load factor may be referred to as an individual average value, and the standard deviation of the individual hot water supply load factor may be referred to as an individual standard deviation.

  Next, the selection part 203 excludes the consumer whose standard deviation of an individual hot water supply load factor is outside a predetermined range from the consumer to be controlled (S204). For example, when the standard deviation of the individual hot water supply load factor is large, that is, when the fluctuation (variation) of the individual hot water supply load factor is large, the individual hot water supply load factor is highly likely to deviate from the hot water supply load factor of the entire consumer group. Therefore, in this case, the selection unit 203 determines that the trend of the hot water supply demand of the consumer deviates from the trend of the hot water demand of the entire consumer group, and excludes the consumer from the control target consumer.

For example, when the standard deviation σ _n derived for a certain consumer satisfies the following expression 1, the selecting unit 203 excludes the consumer from the control target.

σ _n > C _σ (Formula 1)

Here, _Cσ is a constant. For example, _Cσ may be a fixed value that is determined in advance based on fluctuations in the hot water supply load factor of the entire consumer group in a predetermined period in the past. As a result, the selection unit 203 determines that a consumer having a large fluctuation (variation) in the individual hot water supply load factor in a predetermined time period is a consumer to be controlled as a consumer for which it is determined that the individual hot water supply demand trend deviates from the overall hot water supply demand trend. Exclude from customers.

  Next, the deriving unit 202 derives an overall hot water supply load factor for a predetermined time period after the control time period for each day (S205). Here, the total hot water supply load factor in a predetermined time zone is a ratio of the hot water supply demand in the predetermined time zone of the entire consumer group to the daily hot water demand of the entire consumer group. Next, the deriving unit 202 derives an average value and a standard deviation of the overall hot water supply load factor for a predetermined time period on a plurality of days (S206). Note that the average value of the overall hot water supply load factor may be referred to as the overall average value, and the standard deviation of the overall hot water supply load factor may be referred to as the overall standard deviation.

Next, the selection unit 203 excludes a consumer whose difference between the average value of the overall hot water supply load factor and the average value of the individual hot water supply load factor is outside the predetermined range from the consumers to be controlled (S207). For example, when the average value μ _ave of the entire hot water supply load factor and the average value μ _n of the individual hot water supply load factor of a certain consumer satisfy the following Expression 2, the selecting unit 203 excludes the consumer from the control target. .

μ _n −μ _ave > 3σ _ave (Equation 2)

Here, σ _ave is the standard deviation of the overall hot water supply load factor. 3σ _ave is an example, and 1σ _ave may be used instead of 3σ _ave , or a value that does not depend on σ _ave may be used. Thereby, the selection part 203 excludes the consumer with a large individual hot-water supply load factor of a predetermined time slot | zone from the consumer of a control object as a consumer judged that the individual hot-water supply demand tendency has deviated from the whole hot-water supply demand tendency. .

  As described above, the derivation unit 202 and the selection unit 203 may perform the derivation process (S102) and the selection process (S103) in cooperation.

The above-mentioned C _sigma may be defined based on the standard deviation sigma _ave of the entire hot water supply load factor. For example, C _σ may be σ _ave or a value obtained by multiplying σ _ave by a constant. Specifically, the selection unit 203 may define the C _sigma based on the standard deviation sigma _ave.

  In the above, a customer whose individual standard deviation is within a predetermined range (first predetermined range) and whose difference between the individual average value and the overall average value is within a predetermined range (second predetermined range) is to be controlled. Selected as a consumer. However, a consumer that satisfies one of these two conditions may be selected as a consumer to be controlled.

  In the above description, the selection unit 203 uses a value obtained by subtracting the overall average value from the individual average value as the difference between the overall average value and the individual average value. As described above, the selection unit 203 may exclude a consumer whose individual average value is larger than the overall average value by a predetermined value or more from the control target consumer using a plus or minus signed difference. And the selection part 203 does not need to exclude the consumer whose individual average value is smaller than a whole average value from the consumer of a control object.

  FIG. 8 is a sequence diagram showing an operation of the demand management apparatus 200 shown in FIG. The demand management apparatus 200 performs control according to the hot water supply demand by performing the operation shown in FIG.

  First, the acquisition unit 201 acquires hot water supply demand information by receiving hot water supply demand information transmitted from a consumer (S301). Then, the hot water supply demand information is input to the derivation unit 202 (S302). The deriving unit 202 derives the individual hot water supply demand trend and the overall hot water supply demand trend from the hot water supply demand information, and outputs them to the selection unit 203 (S303). The selection unit 203 selects a consumer who is determined that the individual hot water supply demand trend does not deviate from the overall hot water demand demand trend as a control target consumer.

  And the information which shows the consumer of a control object, and the whole hot water supply demand tendency are input into the production | generation part 204 (S304). The production | generation part 204 produces | generates the control instruction | indication according to the whole hot water supply demand tendency. Then, information indicating a customer to be controlled and a control instruction are input to the transmission unit 205 (S305). The transmission unit 205 transmits a control instruction to the consumer (S306).

  Based on the above, the demand management apparatus 200 selects a consumer who is determined that the individual hot water supply demand trend does not deviate from the overall hot water supply demand trend, and controls a control instruction according to the overall hot water demand demand trend. Send to the target consumer. Thereby, the demand management apparatus 200 can suppress generation | occurrence | production of the bad effect resulting from the specific hot water supply demand of each consumer, performing the control according to the hot water supply demand of the whole consumer group.

  FIG. 9 is a sequence diagram showing a specific example of the operation of the demand management apparatus 200 shown in FIG. That is, FIG. 9 shows a more specific example of the operation shown in FIG.

  First, the acquisition unit 201 acquires hot water supply demand information and electric power demand information by receiving hot water supply demand information and electric power demand information transmitted from a consumer (S401). In this example, the acquisition unit 201 also operates as a management unit that receives an inquiry for management information and responds to the management information. And the acquisition part 201 registers hot water supply demand information and electric power demand information as management information (S402). That is, hot water supply demand information and power demand information are stored in the storage unit.

  The acquisition process (S401) and the registration process (S402) are repeatedly performed at predetermined time intervals. The predetermined time interval may be an hour interval, or a time interval corresponding to a time zone such as morning, noon, night, or midnight.

  Next, the derivation unit 202 makes an inquiry about hot water supply demand information to the acquisition unit 201 (S403). Acquiring unit 201 receives an inquiry about hot water supply demand information and responds with hot water supply demand information (S404). And deriving part 202 derives the individual hot water supply demand tendency for every consumer, and the whole hot water supply demand tendency of the whole consumer group from hot water supply demand information. Then, the derivation unit 202 outputs the individual hot water supply demand trend and the overall hot water supply demand trend to the selection unit 203 (S405).

  The selection unit 203 selects a consumer who is determined that the individual hot water supply demand trend does not deviate from the overall hot water demand demand trend as a control target consumer. And the information which shows the consumer of a control object, and the whole hot water supply demand tendency are input into the production | generation part 204 (S406).

  The generation unit 204 inquires of the acquisition unit 201 about hot water supply demand information and power demand information of a customer to be controlled in a past predetermined period (S407). Acquiring unit 201 receives an inquiry about hot water supply demand information and electric power demand information, and responds to hot water supply demand information and electric power demand information (S408). And the production | generation part 204 produces | generates the control instruction | indication according to the hot water supply demand of the consumer of a control object, the electric power demand of the consumer of a control object, and the whole hot water supply demand tendency.

  Then, information indicating a customer to be controlled and a control instruction are input to the transmission unit 205 (S409). The transmission unit 205 transmits a control instruction to the consumer (S410).

  Based on the above, the demand management device 200 selects a control target consumer that is determined that the individual hot water supply demand trend is not deviated from the overall hot water demand trend, and the hot water supply demand and power demand of the control target consumer A control instruction according to the hot water supply demand trend is transmitted to the consumer to be controlled. Thereby, the demand management apparatus 200 can transmit a more appropriate control instruction to the consumer.

  FIG. 10 is a block diagram showing a configuration of a modification of the demand management apparatus 200 shown in FIG. As shown in FIG. 10, the demand management apparatus 200 may further include a prediction unit 206 and a reception unit 207.

  The prediction unit 206 is a predictor that predicts hot water supply demand. The prediction unit 206 may predict the power demand. Specifically, the prediction unit 206 predicts demand for each consumer and for each time period. For example, the prediction unit 206 may acquire past demand information from the acquisition unit 201 and predict future demand such as the current day or the next day based on the past demand information.

  The prediction unit 206 may further predict future demand based on the season, weather, day of the week, temperature, humidity, or a combination thereof. Moreover, the prediction unit 206 may predict the demand of the entire consumer group.

  The deriving unit 202 may derive the individual hot water supply demand trend and the overall hot water supply demand trend from the information on the hot water supply demand predicted by the prediction unit 206. The deriving unit 202 derives the individual hot water supply demand trend and the overall hot water supply demand trend from the information on the past hot water supply demand acquired by the acquisition unit 201 and the information on the future hot water supply demand predicted by the prediction unit 206. May be.

  The production | generation part 204 may produce | generate the control instruction | indication which restrict | limits the amount of boiling or hot water storage so that the hot-water supply demand estimated by the estimation part 206 is satisfy | filled. For example, the generation unit 204 controls the amount of boiling or hot water storage of the control target consumer at midnight within a range in which the predicted hot water supply demand of the control target consumer is satisfied in the morning and noon time zones. May be generated.

  In addition, based on the power demand predicted by the prediction unit 206, the generation unit 204 decreases the boiling amount or hot water storage amount of the control target consumer as the power demand of the control target consumer in the control time zone increases. A control instruction to be limited may be generated.

  The reception unit 207 is a reception device that receives a request for control of power demand. For example, the reception unit 207 receives a request for reduction or increase in power demand by receiving information indicating a request for reduction or increase in power demand from the power system. This request may include information indicating a target amount of power demand for the entire consumer group and a control time zone in which reduction or increase of the electrical demand for the entire consumer group is to be performed.

  And the production | generation part 204 may produce | generate a control instruction | indication so that the electric power demand of the whole consumer group may approach the target amount received in the reception part 207 within the range according to the whole hot water supply demand tendency. For example, the generation unit 204 raises the boiling amount or the hot water storage amount so that the hot water supply demand of the entire consumer group is satisfied in the time zone immediately after the control time zone, and the electric power demand of the entire consumer group approaches the target amount. A control instruction for restricting may be generated.

  Moreover, the reception part 207 may receive the request | requirement of control of the boiling amount or hot water storage amount of the whole consumer group. This request includes information indicating the target amount of boiling or hot water storage for the entire consumer group and the control time zone during which the boiling or hot water storage of the entire consumer group should be controlled. Also good.

  FIG. 11 is a flowchart showing the operation of the demand management apparatus 200 shown in FIG. The demand management apparatus 200 shown in FIG. 10 performs control according to the hot water supply demand by performing the operation shown in FIG.

  First, the acquisition unit 201 acquires hot water supply demand information (S501). The acquisition unit 201 may acquire power demand information. Next, the reception unit 207 receives a control request such as power demand (S502). Next, the prediction unit 206 predicts hot water supply demand according to hot water supply demand information and the like (S503). The prediction unit 206 may predict the power demand according to the power demand information.

  Next, the deriving unit 202 derives the individual hot water supply demand trend and the overall hot water supply demand trend from the information on the hot water supply demand predicted by the prediction unit 206 (S504). The derivation unit 202 derives the individual hot water supply demand trend and the overall hot water supply demand trend from the information on the past hot water supply demand acquired by the acquisition unit 201 and the information on the future hot water supply demand predicted by the prediction unit 206. Good.

  Next, the selection part 203 selects the consumer judged that the individual hot water supply demand tendency does not deviate from the general hot water supply demand tendency among the plurality of consumers as a control target consumer (S505).

  Next, the production | generation part 204 produces | generates the control instruction | indication according to the whole hot water supply demand tendency (S506). In that case, the production | generation part 204 produces | generates a control instruction | indication so that the request | requirement received by the reception part 207 is satisfy | filled in the range according to the whole hot water supply demand tendency. The generation unit 204 may further reflect the hot water supply demand and the power demand predicted by the prediction unit 206 in the control instruction. Next, the transmission unit 205 transmits a control instruction to the customer to be controlled (S507).

  Through the above operation, the demand management apparatus 200 can appropriately generate a control instruction based on a control request such as power demand and a prediction of hot water supply demand.

  Note that the prediction unit 206 and the reception unit 207 are arbitrary components. The demand management apparatus 200 may not include one or both of the prediction unit 206 and the reception unit 207. And the demand management apparatus 200 does not need to perform one or both of a reception process (S502) and a prediction process (S503).

  Further, the acquisition unit 201 may include the prediction unit 206, and the generation unit 204 may include the reception unit 207. Then, the prediction process (S503) may be performed by the acquisition unit 201, and the reception process (S502) may be performed by the generation unit 204.

  As mentioned above, although the demand management apparatus 200 concerning this invention was demonstrated based on embodiment etc., this invention is not limited to said embodiment etc. Forms obtained by subjecting the above embodiments and the like to modifications conceived by those skilled in the art and other forms realized by arbitrarily combining a plurality of components in the above embodiments and the like are also included in the present invention. It is.

  For example, another component may execute a process executed by a specific component. In addition, the order in which the processes are executed may be changed, or a plurality of processes may be executed in parallel.

  Further, the present invention can be realized not only as the demand management apparatus 200 but also as a method including steps (processes) performed by each component constituting the demand management apparatus 200.

  For example, these steps may be performed by a computer (computer system). The present invention can be realized as a program for causing a computer to execute the steps included in these methods. Furthermore, the present invention can be realized as a non-transitory computer-readable recording medium such as a CD-ROM on which the program is recorded.

  For example, when the present invention is realized by a program (software), each step is executed by executing the program using hardware resources such as a CPU, a memory, and an input / output circuit of a computer. . That is, each step is executed by the CPU obtaining data from a memory or an input / output circuit or the like, and outputting the calculation result to the memory or the input / output circuit or the like.

  In addition, the plurality of components included in the demand management device 200 and the like may be realized as dedicated or general-purpose circuits, respectively. These components may be realized as a single circuit or may be realized as a plurality of circuits.

  A plurality of components included in the demand management device 200 and the like may be realized as an LSI (Large Scale Integration) that is an integrated circuit (IC). These components may be individually made into one chip, or may be made into one chip so as to include a part or all of them. The LSI may be referred to as a system LSI, a super LSI, or an ultra LSI depending on the degree of integration.

  The integrated circuit is not limited to an LSI, and may be realized by a dedicated circuit or a general-purpose processor. A programmable programmable gate array (FPGA) or a reconfigurable processor in which connection and setting of circuit cells inside the LSI can be reconfigured may be used.

  Furthermore, if integrated circuit technology that replaces LSI appears due to progress in semiconductor technology or other derived technology, naturally, using that technology, a plurality of components included in the demand management device 200 can be integrated. It may be broken.

  Finally, a plurality of aspects such as the demand management apparatus 200 are shown as examples. These aspects may be appropriately combined. In addition, any configuration or the like shown in the above embodiment may be added.

(First aspect)
The demand management apparatus 200 according to an aspect of the present invention includes an acquisition unit 201, a derivation unit 202, a selection unit 203, a generation unit 204, and a transmission unit 205.

  The acquisition unit 201 acquires hot water supply demand information indicating each hot water supply demand of a plurality of consumers. The deriving unit 202 derives, from the hot water supply demand information, an individual hot water supply demand trend that is a tendency of each hot water supply demand of a plurality of consumers and an overall hot water supply demand trend that is a trend of the overall hot water supply demand of the plurality of consumers. . The selection part 203 selects the consumer judged that the individual hot water supply demand tendency does not deviate from the overall hot water supply demand tendency among the plurality of consumers as the control target consumer.

  The production | generation part 204 produces | generates the control instruction | indication according to the whole hot water supply demand tendency. The transmission unit 205 transmits a control instruction to the customer to be controlled.

  Thereby, the demand management apparatus 200 selects the consumer judged that the individual hot water supply demand tendency is not deviated from the overall hot water supply demand tendency, and controls the control instruction according to the overall hot water supply demand tendency. It can be sent to the target consumer. Therefore, the demand management apparatus 200 can suppress the occurrence of adverse effects caused by the unique hot water supply demand of each individual consumer while performing control according to the hot water supply demand of the entire consumer group.

(Second aspect)
For example, the deriving unit 202 derives, for each of the plurality of consumers, an individual hot water supply load factor that is a ratio of the hot water supply demand of the customer for a predetermined time period to the daily hot water supply demand of the consumer for each of the plurality of days. Thus, a plurality of individual hot water supply load factors may be derived for a plurality of days. And deriving part 202 may derive individual hot water supply demand tendency including standard deviation of a plurality of individual hot water supply load factors about each of a plurality of consumers.

  And the selection part 203 may select the consumer whose standard deviation is in a predetermined range among several consumers as a control object consumer.

  Thereby, the demand management apparatus 200 can select the consumer of a control object except the consumer etc. with a big fluctuation | variation of the hot water supply demand. When fluctuations in hot water supply demand are large, there is a high possibility that harmful effects such as running out of hot water will occur due to uniform control. Therefore, the demand management apparatus 200 can suppress the occurrence of adverse effects such as running out of hot water by excluding customers and the like whose fluctuations in hot water supply demand are large.

(Third aspect)
For example, the deriving unit 202 derives, for each of the plurality of consumers, an individual hot water supply load factor that is a ratio of the hot water supply demand of the customer for a predetermined time period to the daily hot water supply demand of the consumer for each of the plurality of days. Thus, a plurality of individual hot water supply load factors may be derived for a plurality of days. And deriving part 202 may derive individual hot water supply demand tendency including an individual average value which is an average value of a plurality of individual hot water supply load factors about each of a plurality of consumers.

  In addition, the deriving unit 202 derives a plurality of hot water supply load factors, which are ratios of hot water supply demands of a plurality of consumers during a predetermined time period with respect to daily hot water supply demands of a plurality of consumers, for each of a plurality of days. A plurality of overall hot water supply load factors may be derived for a day. Then, the deriving unit 202 may derive an overall hot water supply demand trend including an overall average value that is an average value of a plurality of overall hot water supply load factors.

  Moreover, the selection part 203 may select the consumer from which the difference of an individual average value and a whole average value is in a predetermined range among several consumers as a control object consumer.

  Thereby, the demand management apparatus 200 can select the consumer of a control object except the consumer with a big hot water supply demand. When hot water supply demand is large, there is a high possibility that harmful effects such as running out of hot water will occur due to uniform control. Therefore, the demand management apparatus 200 can suppress the occurrence of harmful effects such as running out of hot water by excluding customers with high demand for hot water supply.

(4th aspect)
For example, the deriving unit 202 derives, for each of the plurality of consumers, an individual hot water supply load factor that is a ratio of the hot water supply demand of the customer for a predetermined time period to the daily hot water supply demand of the consumer for each of the plurality of days. Thus, a plurality of individual hot water supply load factors may be derived for a plurality of days. And deriving part 202 may derive individual hot water supply demand tendency including an individual average value which is an average value of a plurality of individual hot water supply load factors, and a standard deviation of a plurality of individual hot water supply load factors.

  In addition, the deriving unit 202 derives a plurality of hot water supply load factors, which are ratios of hot water supply demands of a plurality of consumers during a predetermined time period with respect to daily hot water supply demands of a plurality of consumers, for each of a plurality of days. A plurality of overall hot water supply load factors may be derived for a day. Then, the deriving unit 202 may derive an overall hot water supply demand trend including an overall average value that is an average value of a plurality of overall hot water supply load factors.

  In addition, the selection unit 203 controls, among a plurality of consumers, a customer whose standard deviation is within the first predetermined range and whose difference between the individual average value and the overall average value is within the second predetermined range. You may choose as a consumer.

  Thereby, the demand management apparatus 200 can select the consumer of a control object except the consumer with a big fluctuation | variation of the hot water supply demand, the customer with a big hot water supply demand, etc. When the fluctuation of hot water supply demand is large or when the demand for hot water supply is large, there is a high possibility that harmful effects such as running out of hot water will occur by uniform control. Therefore, the demand management apparatus 200 can suppress the occurrence of harmful effects such as running out of hot water by excluding consumers with large fluctuations in hot water supply demand, consumers with large hot water supply demand, and the like.

(5th aspect)
For example, the predetermined time period may be a time period after a control time period in which control is performed according to a control instruction.

  As a result, the demand management apparatus 200 performs control except for a consumer who has a large fluctuation in hot water supply demand in the time zone after the control time zone, or a customer with a large hot water demand in the time zone after the control time zone. The target consumer can be selected.

  When fluctuations in hot water demand in the time zone after the control time zone are large, or when hot water demand in the time zone after the control time zone is large, there is a possibility that harmful effects such as running out of hot water may occur due to uniform control. Is higher. Therefore, the demand management apparatus 200 removes a customer having a large fluctuation in hot water supply demand in the time zone after the control time zone or a customer having a large hot water demand in the time zone after the control time zone. It is possible to more appropriately suppress the occurrence of harmful effects such as cutting.

(Sixth aspect)
For example, the production | generation part 204 may produce | generate the control instruction | indication for restrict | limiting the amount of boiling or hot water storage of the consumer of a control object. Thereby, the demand management apparatus 200 can control the amount of power consumption for boiling and the like, and can control the power demand.

(Seventh aspect)
For example, the deriving unit 202 derives a plurality of hot water supply load factors, which are ratios of hot water supply demands of a plurality of consumers during a predetermined time period, with respect to daily hot water supply demands of a plurality of consumers for each of a plurality of days. A plurality of overall hot water supply load factors may be derived for a day. Then, the deriving unit 202 may derive an overall hot water supply demand trend including an overall average value that is an average value of a plurality of overall hot water supply load factors. Moreover, the production | generation part 204 may produce | generate the control instruction | command for restrict | limiting the boiling-up amount or hot water storage amount of the consumer of a control object to a small quantity, so that a whole average value is small.

  Thereby, the demand management apparatus 200 can restrict | limit the amount of boiling etc. appropriately based on a whole average value. Therefore, the demand management apparatus 200 can appropriately control power demand.

(Eighth aspect)
For example, the acquisition unit 201 may further acquire power demand information indicating each power demand of a plurality of consumers. Moreover, the production | generation part 204 may produce | generate the control instruction | indication according to the electric power demand of the consumer of a control object, the hot water supply demand of the consumer of a control object, and the whole hot water supply demand tendency.

  Thereby, the demand management apparatus 200 can perform the control according to not only the hot water supply demand of the whole consumer group but the electric power demand of the consumer to be controlled and the hot water demand of the consumer to be controlled.

(Ninth aspect)
For example, the deriving unit 202 derives a plurality of hot water supply load factors, which are ratios of hot water supply demands of a plurality of consumers during a predetermined time period, with respect to daily hot water supply demands of a plurality of consumers for each of a plurality of days. A plurality of overall hot water supply load factors may be derived for a day. Then, the deriving unit 202 may derive an overall hot water supply demand trend including an overall average value that is an average value of a plurality of overall hot water supply load factors. Further, the predetermined time zone may be a time zone after the control time zone in which the control is performed according to the control instruction.

  In addition, the generation unit 204 increases the amount of boiling or hot water storage of the consumer to be controlled to a smaller amount as the overall average value is smaller, a smaller amount as the power demand is larger, and a smaller amount as the hot water supply demand is smaller. A control instruction for limiting the amount may be generated. Here, the power demand is the power demand of the customer to be controlled in the control time zone. Moreover, the hot water supply demand is a hot water supply demand of a customer to be controlled in a predetermined time zone.

  Thereby, the demand management apparatus 200 is not only based on the whole average value, but based on the electric power demand of the control target consumer in the control time zone, and the hot water supply demand of the control target customer in the predetermined time zone. Etc. can be more appropriately restricted.

(10th aspect)
The demand management method according to an aspect of the present invention includes an acquisition step (S101), a derivation step (S102), a selection step (S103), a generation step (S104), and a transmission step (S105).

  In the acquisition step (S101), hot water supply demand information indicating each hot water supply demand of a plurality of consumers is acquired. In the derivation step (S102), from the hot water supply demand information, an individual hot water supply demand trend that is a tendency of each hot water supply demand of a plurality of consumers, and an overall hot water supply demand trend that is a trend of the overall hot water supply demand of the plurality of consumers. To derive. In the selection step (S103), a customer who is determined that the individual hot water supply demand trend does not deviate from the overall hot water supply demand trend among the plurality of consumers is selected as a control target consumer.

  In the generation step (S104), a control instruction corresponding to the overall hot water supply demand trend is generated. In the transmission step (S105), a control instruction is transmitted to the customer to be controlled.

  As a result, a consumer whose individual hot water supply demand trend is determined not to deviate from the overall hot water supply demand trend is selected as a control target consumer, and a control instruction corresponding to the total hot water demand trend is transmitted to the control target consumer. Is done. Therefore, it is possible to perform control according to the hot water supply demand of the entire consumer group, and it is possible to suppress the occurrence of harmful effects caused by the unique hot water supply demand of individual consumers.

(Eleventh aspect)
A program according to an aspect of the present invention is a program for causing a computer to execute a demand management method. Thereby, it is possible to make a computer perform a demand management method.

200 demand management apparatus 201 acquisition unit 202 derivation unit 203 selection unit 204 generation unit 205 transmission unit

Claims (11)

An acquisition unit for acquiring hot water supply demand information indicating each hot water supply demand of a plurality of consumers;
A deriving unit for deriving an individual hot water supply demand trend that is a tendency of each hot water supply demand of the plurality of consumers and an overall hot water demand trend that is a trend of the overall hot water demand of the plurality of consumers from the hot water supply demand information When,
Among the plurality of consumers, a selection unit that selects, as a control target consumer, a consumer determined that the individual hot water supply demand trend is not deviated from the overall hot water supply demand trend;
A generator for generating a control instruction according to the overall hot water supply demand trend;
A demand management device comprising: a transmission unit that transmits the control instruction to the consumer to be controlled. The derivation unit derives, for each of the plurality of consumers, an individual hot water supply load factor that is a ratio of the hot water supply demand of the customer for a predetermined time period to the daily hot water supply demand of the consumer for each of the plurality of days. Deriving a plurality of individual hot water supply load factors for the plurality of days, deriving the individual hot water supply demand trend including a standard deviation of the plurality of individual hot water load factors,
The demand management apparatus according to claim 1, wherein the selection unit selects a consumer whose standard deviation is within a predetermined range among the plurality of consumers as the consumer to be controlled. The derivation unit includes:
For each of the plurality of consumers, the plurality of the plurality of consumers is derived by deriving an individual hot water supply load factor for each of the plurality of days, which is a ratio of the hot water supply demand of the customer for a predetermined time period to the daily hot water supply demand of the consumer. Deriving a plurality of individual hot water supply load factors for the day, deriving the individual hot water supply demand trend including an individual average value that is an average value of the plurality of individual hot water supply load factors,
About each of the plurality of days by deriving, for each of the plurality of days, an overall hot water supply load factor that is a ratio of the hot water supply demand of the plurality of consumers in the predetermined time period to the daily hot water supply demand of the plurality of consumers. Deriving a plurality of overall hot water supply load factors, deriving the overall hot water supply demand trend including an overall average value that is an average value of the plurality of overall hot water supply load factors,
2. The demand according to claim 1, wherein the selection unit selects, as the control target consumer, a consumer whose difference between the individual average value and the overall average value is within a predetermined range among the plurality of consumers. Management device. The derivation unit includes:
For each of the plurality of consumers, the plurality of the plurality of consumers is derived by deriving an individual hot water supply load factor for each of the plurality of days, which is a ratio of the hot water supply demand of the customer for a predetermined time period to the daily hot water supply demand of the consumer. A plurality of individual hot water supply load factors are derived for the day, and the individual hot water supply demand trend including an individual average value that is an average value of the plurality of individual hot water supply load factors and a standard deviation of the plurality of individual hot water supply load factors is derived. And
About each of the plurality of days by deriving, for each of the plurality of days, an overall hot water supply load factor that is a ratio of the hot water supply demand of the plurality of consumers in the predetermined time period to the daily hot water supply demand of the plurality of consumers. Deriving a plurality of overall hot water supply load factors, deriving the overall hot water supply demand trend including an overall average value that is an average value of the plurality of overall hot water supply load factors,
The selection unit is configured to select, among the plurality of consumers, a customer whose standard deviation is within a first predetermined range and whose difference between the individual average value and the overall average value is within a second predetermined range. The demand management apparatus according to claim 1, wherein the demand management apparatus is selected as the consumer to be controlled. The demand management device according to any one of claims 2 to 4, wherein the predetermined time zone is a time zone after a control time zone in which control is performed according to the control instruction. The demand management device according to any one of claims 1 to 5, wherein the generation unit generates the control instruction for limiting a boiling amount or a hot water storage amount of the consumer to be controlled. The derivation unit derives an overall hot water supply load factor that is a ratio of hot water supply demand of the plurality of consumers during a predetermined time period to daily hot water supply demand of the plurality of consumers for each of the plurality of days. Deriving a plurality of overall hot water supply load factors for the day, and deriving the overall hot water supply demand trend including an overall average value that is an average value of the plurality of overall hot water supply load factors,
The said production | generation part produces | generates the said control instruction | indication for restrict | limiting the boiling-up amount or hot-water storage amount of the said consumer to be controlled to a small quantity, so that the said total average value is small. The demand management device described in 1. The acquisition unit further acquires power demand information indicating each power demand of the plurality of consumers,
The said production | generation part produces | generates the said control instruction | indication according to the electric power demand of the said consumer of a control object, the hot water supply demand of the said consumer of a control object, and the said whole hot water supply demand tendency. The demand management device according to item. The derivation unit derives an overall hot water supply load factor that is a ratio of hot water supply demand of the plurality of consumers during a predetermined time period to daily hot water supply demand of the plurality of consumers for each of the plurality of days. Deriving a plurality of overall hot water supply load factors for the day, and deriving the overall hot water supply demand trend including an overall average value that is an average value of the plurality of overall hot water supply load factors,
The predetermined time zone is a time zone after a control time zone in which control is performed according to the control instruction,
The generation unit has a smaller amount as the overall average value is smaller, and a smaller amount as the power demand of the control target consumer in the control time zone is larger, and the control target in the predetermined time zone. The demand management device according to claim 8, wherein the control instruction for limiting the amount of boiling or the amount of hot water stored in the control target consumer is reduced to a smaller amount as the demand for hot water supply from the customer is smaller. An acquisition step of acquiring hot water supply demand information indicating each hot water supply demand of a plurality of consumers;
A derivation step of deriving, from the hot water supply demand information, an individual hot water supply demand trend that is a tendency of each hot water supply demand of the plurality of consumers and an overall hot water supply demand trend that is a trend of the overall hot water supply demand of the plurality of consumers. When,
A selection step of selecting, as a control target consumer, a consumer determined that the individual hot water supply demand trend is not deviated from the overall hot water supply demand trend among the plurality of consumers;
A generation step of generating a control instruction according to the overall hot water supply demand trend;
A transmission step of transmitting the control instruction to the consumer to be controlled.   A program for causing a computer to execute the demand management method according to claim 10.

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