WO2014185014A1

WO2014185014A1 - Management apparatus, device management method, and management system

Info

Publication number: WO2014185014A1
Application number: PCT/JP2014/002279
Authority: WO
Inventors: 毅波張
Original assignee: パナソニックＩｐマネジメント株式会社
Priority date: 2013-05-13
Filing date: 2014-04-23
Publication date: 2014-11-20
Also published as: JP2014222396A; CN105229893B; CN105229893A

Abstract

The purpose of the present invention is to provide a management apparatus, a device management method, and a management system which reduce the power consumption in a device while ensuring comfort for the user. A management apparatus (1) includes a storage unit (11) for storing a plurality of operation patterns for a device, and a prediction unit (12) for predicting an integrated value of power consumption in a device during a first period for each second period shorter than the first period using an actual power consumption value in the device as measured by a measuring instrument (3). Also, the management apparatus (1) includes a selection unit (13) for selecting, when the prediction value of the prediction unit (12) exceeds a first threshold, an operation pattern for each second period from the plurality of operation patterns to suppress an excess rate exceeding the first threshold for the prediction value to a first permissible value or less. Further, the management apparatus (1) includes a control unit (14) for controlling the device in accordance with the operation pattern selected by the selection unit (13).

Description

Management device, device management method, management system

The present invention relates to a management device, a device management method, and a management system for managing devices so that power consumption in the devices is suppressed.

Conventionally, there has been proposed a (power) management device that predicts the amount of power used and controls the operation of a device (power consuming device) based on a set target (for example, Japanese Patent Application Publication No. 2012-19579 (hereinafter referred to as Japanese Patent Application Publication No. 2012-19579). (Referred to as “Document 1”).

The management device described in Document 1 calculates a predicted power consumption amount from the time of consumption (use) power detection to the end of a predetermined target period based on the power consumption detection history. Based on the calculated predicted power consumption and the predetermined target power consumption, the management device calculates the planned power consumption from the time of consumption (use) power detection to the end of the target period, and the current power consumption is scheduled. When power consumption is exceeded, control the device power mode to limit device operation. The planned power consumption indicates the maximum power that can be used to achieve the target power consumption amount per unit time.

Further, Document 1 also describes that the management device sets a plurality of stages of target power consumption that is the upper limit power consumption during the target period. For example, when the target period is in units of one month, the management apparatus sets a standard target obtained by multiplying the amount of power used in the same month of the previous year by 0.9 and an effort target obtained by multiplying the standard target by 0.9. In this case, the management apparatus initially sets the hard goal, which is harder to achieve, as the immediate goal, and resets the goal to the standard goal when it is determined that the hard goal cannot be achieved.

However, since the management device described in Document 1 limits the operation of the device when the current consumed (used) power exceeds the planned used power, the operation of the device is limited even when the power consumption temporarily increases. Will be. Therefore, the operation of the device is excessively limited, and the user's comfort may be impaired.

In addition, since this management device lowers the target when it is found that the effort goal cannot be achieved, once it is determined that the effort target cannot be achieved, the target is lowered even if recovery is possible. In addition, there is a possibility that the effect of reducing power consumption in the device cannot be obtained sufficiently.

An object of the present invention is to provide a management device, a device management method, and a management system that can obtain the effect of reducing power consumption in a device while ensuring the comfort of a user.

The management device according to the present invention uses a storage unit that stores a plurality of operation patterns for a device, and the actual power consumption value of the device measured by a measuring instrument. A prediction unit that predicts an integrated value of power for each second period shorter than the first period, and when the prediction value of the prediction unit exceeds a first threshold value, the first threshold value of the prediction value A selection unit that selects an operation pattern from the plurality of operation patterns in the second period unit so that an excess rate from or a probability that the predicted value exceeds the first threshold value is equal to or less than a first allowable value. And a control unit that controls the device according to the operation pattern selected by the selection unit.

In the device management method of the present invention, the integrated value of power consumption in the device in the first period is shorter than that in the first period, using the actual value of power consumption in the device measured by the measuring instrument. And when the prediction value of the prediction process exceeds a first threshold value, the excess rate of the prediction value from the first threshold value or the prediction value is the first threshold value. A selection process for selecting an operation pattern in units of the second period from among a plurality of operation patterns of the device, so that the probability of exceeding the first allowable value or less is selected in the selection process And a control process for controlling the device according to the operation pattern.

The management system of the present invention includes a plurality of devices, a measuring instrument that measures power consumption in the devices, and a management device that controls the devices, and the management device has a plurality of operation patterns for the devices. Using the stored storage unit and the actual value of power consumption in the device measured by the measuring instrument, the integrated value of power consumption in the device in the first period is shorter than that in the first period. The prediction unit predicting every two periods, and when the prediction value of the prediction unit exceeds the first threshold, the excess rate of the prediction value from the first threshold or the prediction value is the first threshold A selection unit that selects an operation pattern from the plurality of operation patterns in the second period unit, and the operation pattern selected by the selection unit so that the probability exceeding the first allowable value or less Control unit for controlling equipment Characterized in that it has a.

In the present invention, when the predicted value exceeds the first threshold value, the excess rate from the first threshold value of the predicted value or the probability that the predicted value exceeds the first threshold value is less than or equal to the first allowable value. An operation pattern is selected in the second period unit. As a result, an effect of reducing power consumption in the device can be obtained while allowing the predicted value to exceed the first threshold value, so that an effect of reducing power consumption in the device can be obtained while ensuring user comfort. There is an advantage that.

Preferred embodiments of the invention are described in further detail. Other features and advantages of the present invention will be better understood with reference to the following detailed description and accompanying drawings.
1 is a schematic block diagram of a management system according to Embodiments 1 and 2. FIG. It is explanatory drawing of an electricity bill unit price. It is explanatory drawing showing distribution of the predicted value of the prediction part which concerns on Embodiment 2. FIG.

The management system described in the following embodiment is a system that manages devices so that power consumption in the devices is suppressed. Below, the case where a management system is used for the detached house as a power consumer (facility) is demonstrated as an example.

Here, as an example of a contract with an electric power company that generates and transmits power, or a service provider that performs electric power management on behalf of the electric power company, an electric power customer who uses the management system is charged with an increase in electric power consumption. A step-by-step electricity bill with a unit price rising gradually is adopted. In this example, the power consumer determines the unit price of the electricity bill according to the amount of power used for each predetermined first period. Specifically, if the power consumption is less than or equal to the first threshold, the first stage charge, if it is greater than the first threshold and less than or equal to the second threshold, the second stage charge (> first stage charge), If it is larger than the threshold value of 2, the third stage charge (> second stage charge) is applied. Note that the second threshold is set to be larger than the first threshold.

For example, if the first period is one year from January 1 to December 31, as shown in FIG. 2, the integrated value of power consumption (power consumption) from January of the same year as of August, as shown in FIG. Exceeds the first threshold value E1, the unit price of the electricity bill shifts from the first stage charge R1 to the second stage charge R2. Furthermore, since the integrated value (power consumption) of power consumption from January of the same year in October exceeds the second threshold value E2 (> E1), the unit price of electricity charges is changed from the second stage charge R2 to the third stage. Transfer to fee R3. In FIG. 2, the horizontal axis represents the amount of power used in the first period, the vertical axis represents the unit price of electricity charges, and the shaded area corresponds to the electricity charge.

Therefore, the management system does not exceed the target values (the first threshold value and the second threshold value) set in advance so that the amount of power used for each first period is reduced in order to keep the unit price of electricity bills at power consumers low. In addition, the power consumption of devices in power consumers is suppressed. However, the management system is not limited to a detached house, and may be used, for example, for electric power consumers such as each dwelling unit, office, store, etc. of an apartment house.

Note that FIG. 2 merely illustrates the electricity charge of a power consumer as a model case for explaining the staged electricity charge, and is not intended to limit the case where the management system is used, but the first period. For example, it may be 30 minutes, 1 month, etc. without being limited to one year. In addition, for the contract between a power consumer and a power company or service provider that uses the management system, the above-described staged electricity charge is only an example, and other charge forms may be adopted.

As shown in FIG. 1, the management system 10 measures a plurality of

devices

21, 22, 23, 24... (Hereinafter collectively referred to as “device 2” when not distinguished from each other) and the power consumption in the device 2. A measuring instrument 3 and a management device 1 that controls the device 2 are provided.

The management device 1 includes a storage unit 11 and a prediction unit 12. The storage unit 11 stores a plurality of operation patterns for the device 2. The prediction unit 12 uses the actual value of the power consumption in the device 2 measured by the measuring instrument 3 to calculate the second value of the integrated value of the power consumption in the device 2 in the first period shorter than that in the first period. Predict every period. Furthermore, the management device 1 includes a selection unit 13. When the prediction value of the prediction unit 12 exceeds the first threshold value, the selection unit 13 sets the excess rate from the first threshold value of the prediction value or the probability that the prediction value exceeds the first threshold value to the first allowable value or less. As described above, an operation pattern is selected from a plurality of operation patterns in the second period unit. Furthermore, the management device 1 includes a control unit 14. The control unit 14 controls the device 2 according to the operation pattern selected by the selection unit 13.

In addition, the selection unit 13 has an operation pattern that satisfies the condition that the excess rate from the first threshold value of the prediction unit 12 or the probability that the prediction value exceeds the first threshold value is less than or equal to the first allowable value. When it does not exist, it is desirable to select an operation pattern as follows. That is, when there is no driving pattern that satisfies the above conditions among a plurality of driving patterns, the selection unit 13 sets the second period unit so that the predicted value is equal to or smaller than the second threshold value that is larger than the first threshold value. It is desirable to select an operation pattern from a plurality of operation patterns.

Furthermore, when there is no operation pattern that satisfies the condition that the prediction value of the prediction unit 12 is equal to or less than the second threshold, the selection unit 13 desirably selects the operation pattern as follows. That is, when there is no driving pattern that satisfies the above conditions among the plurality of driving patterns, the selection unit 13 sets the excess rate from the second threshold value of the predicted value or the probability that the predicted value exceeds the second threshold value to the second value. It is desirable to select an operation pattern so that it is below the allowable value. In this case, it is desirable that the selection unit 13 selects an operation pattern from a plurality of operation patterns in the second period unit.

In addition, the selection unit 13 satisfies a condition that an excess rate from the second threshold value of the predicted value or a probability that the predicted value exceeds the second threshold value is less than or equal to the second allowable value in a plurality of driving patterns. When the operation pattern does not exist, it is desirable to perform the following operation. That is, it is desirable that the selection unit 13 changes at least one operation pattern among a plurality of operation patterns stored in the storage unit 11. Alternatively, the selection unit 13 satisfies a condition that an excess rate from the second threshold value of the predicted value or a probability that the predicted value exceeds the second threshold value is equal to or less than the second allowable value in a plurality of driving patterns. When the operation pattern does not exist, it is desirable to perform the following operation. In other words, the selection unit 13 is preferably configured to change the second threshold value.

Furthermore, it is desirable that the prediction unit 12 is configured to predict an integrated value of power consumption in the device 2 using the specification information of the device 2 and the operation schedule of the device 2.

Moreover, the management apparatus 1 is further provided with the acquisition part 15 which acquires weather data, and the prediction part 12 is comprised so that the integrated value of the power consumption in the apparatus 2 may be estimated using the weather data which the acquisition part 15 acquired. It is desirable that

(Embodiment 1)
In the management system 10 according to the present embodiment, the plurality of devices 2 are various home appliances and equipment used by power consumers, and in the example of FIG. 1, an air conditioner (air conditioner) 21, an electric water heater 22, a refrigerator 23, and other devices 24. Other devices 24 include an IH cooking heater, a rice cooker, a microwave oven, an air purifier, a total heat exchanger, and a lighting fixture.

Here, each device 2 is configured to be able to switch between at least two operation modes of an energy saving mode with relatively small energy consumption and a normal mode with relatively large energy consumption. That is, each device 2 is configured to be able to switch between two or more operation modes having different types of energy consumption instead of one type of operation mode.

For example, the air conditioner 21 enters the normal mode when the set temperature during the cooling operation is lower than the specified temperature, or when the set temperature during the heating operation is higher than the specified temperature, and the set temperature during the cooling operation is higher than the specified temperature, or the heating operation. When the set temperature is lower than the specified temperature, the energy saving mode is set. In the case of the electric water heater 22, if the amount of boiling water is larger than the specified amount, the normal mode is set, and if the amount of boiling water is less than the specified amount, the energy saving mode is set. The refrigerator 23 enters the normal mode if the set temperature in the refrigerator is lower than the specified temperature, and enters the energy saving mode if it is higher than the specified temperature.

The electricity consumer is provided with a distribution board 4 connected to a service line of a system power supply (commercial power supply) 41. The distribution board 4 includes a main circuit breaker (not shown) inserted into a main system connected to the system power supply 41 and a branch breaker (for each of a plurality of branch systems branching from the secondary side of the main circuit breaker). (Not shown).

The measuring instrument 3 is provided in the distribution board 4, measures the actual value of power consumption in each device 2, and transmits the measurement result to the management device 1. The measuring instrument 3 measures the current value flowing through the main system and each branch system and the voltage value of the main system, and sets the current value and the voltage value at predetermined locations of the main system and each branch system. The power value (instantaneous power) supplied through the measured measurement point is obtained. Furthermore, the measuring instrument 3 performs an integration process of electric power values and calculates not only the instantaneous electric power but also the electric energy (integrated electric power).

The measuring instrument 3 has a communication unit (not shown) that communicates with the management device 1, and periodically or in response to a request from the management device 1, the measurement results (instantaneous power and (Integrated power) is transmitted from the communication unit to the management apparatus 1. Note that the measuring instrument 3 is housed in the distribution board 4 together with other internal devices (main circuit breaker or branch breaker), but is not limited to this configuration and may be installed side by side with the distribution board 4. Good. Moreover, the measuring instrument 3 should just have the function to measure the performance value of the power consumption in each apparatus 2, and to output a measurement result to the management apparatus 1, for example, for meter-reading which has a communication function like a smart meter. It may be a meter or a smart outlet having a measurement function and a communication function.

In the present embodiment, the management apparatus 1 uses the display terminal 5 as a user interface for displaying various information and receiving operation inputs from the user. For this reason, the management apparatus 1 is configured not to include a display unit or an operation input unit that receives an operation input from the user, but may include a display unit or an operation input unit. The display terminal 5 employs a touch panel display, displays information acquired from the management device 1, and outputs a signal corresponding to a user operation input to the management device 1. The management apparatus 1 may be configured to use a tablet terminal, a smartphone, a personal computer, a television receiver, or the like for the user interface instead of the dedicated display terminal 5.

The management device 1 is connected to a network 61 such as the Internet via a router 6. The management device 1 is configured to be able to exchange information with the server 7 connected to the network 61.

<Configuration of management device>
As described above, the management device 1 includes the storage unit 11, the prediction unit 12, the selection unit 13, and the control unit 14, and further includes an acquisition unit 15 and a display control unit 16 in the present embodiment. In addition, the management device 1 is connected to the first communication unit 111 that communicates with the plurality of devices 2 and the display terminal 5, the second communication unit 112 that communicates with the measuring instrument 3, and the router 6. The third communication unit 113 is further provided.

Here, each of the first communication unit 111 and the second communication unit 112 performs bidirectional communication with a communication partner by wireless communication using radio waves as a transmission medium, and the third communication unit 113 communicates with the router 6. Wired connection. As the wireless communication system, for example, a 400 MHz band specific low power radio, a 900 MHz band specific low power radio, Wi-Fi (registered trademark), Bluetooth (registered trademark), or the like is applied. However, the communication between each of the first communication unit 111 and the second communication unit 112 and the communication partner is not limited to wireless communication but may be wired communication, or communication via a repeater. Also good.

In this embodiment, the management apparatus 1 has a microcomputer as a main component, and implements the functions of each unit by executing a predetermined program stored in a memory (not shown).

The management apparatus 1 according to the present embodiment displays, as its basic functions, display information based on the function of controlling the device 2 by the control unit 14 and the actual power consumption value obtained from the measuring device 3. The control unit 16 has a function of displaying on the display terminal 5.

In short, the management device 1 functions as a HEMS (Home Energy Management System) controller to control the device 2 and visualize (visualize) the power consumption in the device 2. Therefore, according to the management system 10 of the present embodiment, it is possible to manage the power consumption state in the device 2 and suppress wasteful power consumption in the device 2.

Specifically, the management device 1 communicates with each device 2 through the first communication unit 111 and communicates with the measurement device 3 through the second communication unit 112, so that the measurement result of the measurement device 3 is obtained. The control unit 14 automatically controls each device 2 based on the above. Furthermore, the management apparatus 1 also has a function of controlling the target device 2 in accordance with an operation command generated when a predetermined operation by the user is performed on the display terminal 5. In other words, the management device 1 acquires an operation command from the display terminal 5 by communicating with the display terminal 5 in the first communication unit 111, and sends a control command corresponding to the operation command to the target device 2 as a second. 1 is transmitted from the communication unit 111 and controls the device 2.

Further, the management device 1 communicates with the display terminal 5 by the first communication unit 111 so that display information based on the measurement result of the measuring instrument 3 is displayed on the display terminal 5 by the display control unit 16. It is configured. For example, the management apparatus 1 uses the power consumption (power of the main grid) in all the devices 2 of the power consumer as the measurement result of the measuring instrument 3 and the power consumption of each branch system as display information, and represents this display information. The transmission data is transmitted to the display terminal 5. Here, the management apparatus 1 transmits the transmission data and updates the display information displayed on the display terminal 5 every time the measuring instrument 3 updates the measurement result (power consumption) at a constant time interval (for example, every 5 seconds). To do.

The display information displayed on the display terminal 5 can be switched by operating the display terminal 5, and the user can switch between the power consumption of all the devices 2 of the power consumer and the power consumption of each branch system. Or can be displayed by switching between instantaneous power and integrated power.

Next, details of each unit of the management apparatus 1 according to the present embodiment will be described.

The storage unit 11 stores a plurality of operation patterns for the device 2. The operation pattern here means a combination of operation states of the plurality of

devices

21, 22, 23, 24. That is, a combination of operation states of a plurality of devices 2 is associated with one operation pattern. However, the present invention is not limited to this, and only one operation state of one device 2 may be associated with one operation pattern. The operating state includes the operation (operation) / stop in each device 2 and the operation mode during operation. Therefore, as an example of the operation pattern of the air conditioner 21, the electric water heater 22, and the refrigerator 23, there is a combination of operation states in which the air conditioner 21 is in the normal mode, the electric water heater 22 is in the energy saving mode, and the refrigerator 23 is in the normal mode. is there. Furthermore, the operation pattern is, for example, “operation (operation) for up to 6 hours a day” or “operation (operation) only during the time zone from 20:00 to 24:00”. Limits may be included. The storage unit 11 stores a plurality of operation patterns for the device 2 in advance.

The selection unit 13 selects an arbitrary operation pattern from among a plurality of operation patterns stored in the storage unit 11. The control unit 14 controls the device 2 according to the operation pattern selected by the selection unit 13. In the present embodiment, the selection unit 13 selects, as a default, an operation pattern in which the operation mode of all the devices 2 is the normal mode. However, the operation pattern selected as the default by the selection unit 13 may be arbitrarily set by the user using the display terminal 5 and stored in the storage unit 11 in advance.

The prediction unit 12 uses the actual value of the power consumption in the device 2 measured by the measuring instrument 3 to calculate the second value of the integrated value of the power consumption in the device 2 in the first period shorter than that in the first period. It is configured to predict every period. Here, the integrated value of power consumption in the device 2 is an integrated value of power consumption (main system power) in all the devices 2 of the power consumer. In the present embodiment, as an example, the first period is one year from January 1 to December 31, and the second period is 24 hours (one day) from 0:00 to 24:00. Assume.

That is, the prediction unit 12 predicts an integrated value of power consumption in all devices 2 from January 1 to December 31 of the current year, using the measurement result of the measuring instrument 3 every day. Note that the prediction unit 12 is configured to predict an integrated value of power consumption in all the devices 2 in the current year at a time determined every day (for example, 0:00).

Specifically, if the current time is, for example, 0:00 on April 1, the period from January 1 to March 31 (the day before the current day) of the current year (January 1 to December 31) For the period, there is an actual value of the power consumption measured by the measuring instrument 3. Therefore, the prediction unit 12 estimates the power consumption on a daily basis for the period from the current time (April 1) to December 31 in the current year. At this time, using the operation pattern currently selected by the selection unit 13, the prediction unit 12 estimates the power consumption for the period from the current time to December 31 in the current year. The prediction unit 12 adds the power consumption amount (estimated value) for each day after the estimated current time to the power consumption amount (actual value) for the period from January 1 to the current time, so that all devices 2 of the current year Predict the integrated value of power consumption at.

Here, the prediction unit 12 in the present embodiment is configured to predict an integrated value of power consumption in the device 2 using the specification information of the device 2 and the operation schedule of the device 2. That is, in addition to the measurement result of the measuring instrument 3, the prediction unit 12 includes specification information indicating the specifications of each device 2 such as the rated power and standby power for each operation mode, and the operation schedule of the device 2 for each day of the week and time zone. The integrated value of the power consumption of the current year is predicted using the operation schedule representing.

The management device 1 may acquire the specification information and the operation schedule from the server 7 in the third communication unit 113 via the network 61 based on the identifier (model number, etc.) of the device 2, Information input by the user may be used. Moreover, the management apparatus 1 may memorize | store the measurement result of the measuring device 3 at any time in the memory | storage part 11, and may obtain | require specification information and an operation schedule from statistical data.

Furthermore, the prediction unit 12 of the present embodiment is configured to predict an integrated value of power consumption in the device 2 using weather data that the acquisition unit 15 acquires from the server 7. The acquisition unit 15 is configured to acquire weather data such as a seasonal forecast from the server 7 by the third communication unit 113 via the network 61, and the prediction unit 12 integrates this weather data with power consumption. Used for value prediction.

Here, the estimation method of the power consumption amount for each day after the present time varies depending on the type of the device 2, and the estimation method for the representative device 2 is as follows.

For example, for the air conditioner 21 during the heating operation, the prediction unit 12 estimates the power consumption by A ₁₁ · (ΔT) ² + A ₁₂ · (ΔT) + A ₁₃ · P ₁₁ . Here, A ₁₁ , A ₁₂ and A ₁₃ are coefficients, ΔT is the set temperature−outside air temperature, and P ₁₁ is the rated power consumption of the air conditioner 21 during the heating operation. For the air conditioner 21 during the cooling operation, the prediction unit 12 estimates the power consumption by A ₁₄ · (ΔT) ² + A ₁₅ · (ΔT) + A ₁₆ · P ₁₂ . Here, A ₁₄ , A ₁₅ , A ₁₆ are coefficients, ΔT is the outside air temperature-set temperature, and P ₁₂ is the rated power consumption of the air conditioner 21 during the cooling operation.

For the electric water heater 22, the prediction unit 12 estimates the power consumption by A ₂₁ · (ΔT) ² + A ₂₂ · (ΔT) + A ₂₃ · P ₂ . Here, A ₂₁ , A ₂₂ , and A ₂₃ are coefficients, ΔT is a set temperature−water supply (tap water) temperature, and P ₂ is a rated power consumption of the electric water heater 22. The refrigerator 23, the prediction unit _{^{12, A 31 · (ΔT) 2}} + A by _{_{32 · (ΔT) + A 33}} · P 3 estimates the power consumption. Here, A ₃₁ , A ₃₂ , and A ₃₃ are coefficients, ΔT is the room temperature-set temperature, and P ₃ is the rated power consumption of the refrigerator 23.

For the IH cooking heater, the prediction unit 12 estimates the power consumption by A ₄₁ · T + A ₄₂ · P ₄ . Here, A ₄₁ and A ₄₂ are coefficients, T is the set temperature, and P ₄ is the rated power consumption of the IH cooking heater. For other devices 2 that are not related to temperature, the prediction unit 12 estimates the power consumption by A ₅₁ · P ₅ . Here, A ₅₁ is a coefficient, and P ₅ is the rated power consumption of the device 2.

Note that initial values of the respective coefficients are determined in advance based on statistical data, and are corrected as needed by a regression analysis method or the like based on actual values for each power consumer.

Hereinafter, the integrated value of power consumption in the device 2 of the current year predicted by the prediction unit 12 is referred to as “predicted value”.

When the prediction value of the prediction unit 12 exceeds the first threshold value, the selection unit 13 sets the excess rate from the first threshold value of the prediction value to the first allowable value or less in the second period unit. Select an operation pattern. That is, the selection unit 13 compares the predicted value of the prediction unit 12 (the predicted value of the integrated value of power consumption in the device 2 in the first period) with a predetermined first threshold, and according to the result, The operation pattern of the device 2 is selected in the second period unit.

Here, as described above, the first threshold value is a power usage amount that is switched from the first-stage charge to the second-stage charge in the step-type electricity charge as described above, and is set by the user using the display terminal 5 and stored in the storage unit. 11 is stored in advance. The first allowable value is a value that is arbitrarily set by the user in a range of 0 to 100 [%], for example. The first allowable value is set by the user using the display terminal 5 and is combined with the first threshold value in the storage unit 11. Stored in advance.

The selection unit 13 continues to select the currently selected operation pattern if the prediction value of the prediction unit 12 is equal to or less than the first threshold value. That is, if the predicted value is equal to or less than the first threshold, the selection unit 13 does not change the driving pattern. On the other hand, if the predicted value of the prediction unit 12 exceeds the first threshold value, the driving pattern in the second period unit so that the excess rate of the predicted value from the first threshold value is equal to or less than the first allowable value. Select.

Specifically, when the predicted value exceeds the first threshold, the selection unit 13 performs a simulation when a driving pattern other than the currently selected driving pattern is selected from the plurality of driving patterns in the storage unit 11. 12 and compare the predicted value in this case with the first threshold value. As a result, the selection unit 13 selects an operation pattern in which the excess rate of the predicted value from the first threshold is equal to or less than the first allowable value in units of the second period. If there are a plurality of operation patterns in which the excess rate of the predicted value from the first threshold is equal to or less than the first allowable value, the selection unit 13 has the maximum predicted value among the plurality of operation patterns, that is, the operation of the device 2. Select the driving pattern with the least restrictions.

Here, the excess rate from the first threshold value of the predicted value is calculated as follows.

That is, the excess rate of the predicted value from the first threshold is calculated by dividing the excess of the predicted value from the first threshold by the first threshold. That is, the excess rate of the predicted value from the first threshold is expressed as excess rate = (predicted value−first threshold) / (first threshold) × 100 [%]. If it is 1.1 times the threshold, it is “10%”.

Since the management device 1 selects an operation pattern in which the excess rate from the first threshold value of the predicted value is equal to or less than the first allowable value as described above, it is within a range determined by the first allowable value set by the user. The predicted value is allowed to exceed the first threshold. That is, as described above, the selection unit 13 selects the operation pattern, and thus the effect of reducing the power consumption in the device 2 in the first period is sufficient while allowing the predicted value to exceed the first threshold to some extent. Is obtained.

By the way, there is a possibility that there is no operation pattern that satisfies the condition that the excess rate from the first threshold value of the predicted value is less than or equal to the first allowable value among the plurality of operation patterns stored in the storage unit 11. There is also. Therefore, in the present embodiment, the selection unit 13 determines that the predicted value is larger than the first threshold when there is no operation pattern in which the excess rate from the first threshold of the predicted value is equal to or less than the first allowable value. The operation pattern is selected in units of the second period so that the threshold value is 2 or less.

Here, the second threshold value is larger than the first threshold value, and is the power usage amount that switches from the second-stage charge to the third-stage charge in the step-type electricity charge as described above, and uses the display terminal 5. And set in advance by the user.

Specifically, if there is no operation pattern that satisfies the above conditions, the selection unit 13 predicts a simulation when an operation pattern other than the currently selected operation pattern is selected from the plurality of operation patterns in the storage unit 11. This is performed by the unit 12, and the predicted value in that case is compared with the second threshold value. As a result, the selection unit 13 selects an operation pattern in which the predicted value is equal to or less than the second threshold value in units of the second period. If there are a plurality of operation patterns in which the predicted value is equal to or less than the second threshold value, the selection unit 13 selects the operation pattern with the maximum predicted value, that is, the operation restriction of the device 2 that is the least strict among the plurality of operation patterns.

Also, there may be no driving pattern that satisfies the condition that the predicted value of the prediction unit 12 is equal to or lower than the second threshold value among the plurality of driving patterns stored in the storage unit 11. Therefore, in the present embodiment, when there is no operation pattern in which the prediction value of the prediction unit 12 is equal to or less than the second threshold, the selection unit 13 sets the excess rate of the prediction value from the second threshold to the second allowable value. The operation pattern is selected in units of the second period as described below.

Here, the second allowable value is a value arbitrarily set by the user in a range of 0 to 100 [%], for example, set by the user using the display terminal 5 and stored in combination with the second threshold value. Stored in the unit 11 in advance.

Specifically, if there is no operation pattern that satisfies the above conditions, the selection unit 13 predicts a simulation when an operation pattern other than the currently selected operation pattern is selected from the plurality of operation patterns in the storage unit 11. This is performed by the unit 12, and the predicted value in that case is compared with the second threshold value. As a result, the selection unit 13 selects an operation pattern in which the excess rate of the predicted value from the second threshold is equal to or less than the second allowable value in units of the second period. If there are a plurality of operation patterns in which the excess rate of the predicted value from the second threshold is equal to or less than the second allowable value, the selection unit 13 has the maximum predicted value among the plurality of operation patterns, that is, the operation of the device 2. Select the driving pattern with the least restrictions.

Furthermore, there may be no driving pattern that satisfies the condition that the excess rate from the second threshold value of the predicted value is less than or equal to the second allowable value among the plurality of driving patterns stored in the storage unit 11. There is also sex. Therefore, in the present embodiment, when there is no operation pattern in which the excess rate from the second threshold value of the predicted value is equal to or less than the second allowable value, the selection unit 13 has a plurality of ways stored in the storage unit 11. The driving pattern is configured to change at least one driving pattern.

Specifically, if there is no operation pattern that satisfies the above conditions, the selection unit 13 changes the operation pattern in the storage unit 11 so that the power consumption of the device 2 is reduced. For example, the selection unit 13 increases the number of devices 2 to be stopped, “operates up to 6 hours per day (operation)”, or “operations (operation) only in the time zone from 20:00 to 24:00”. The operation pattern is changed by adding a time limit for operating (operating) the device 2 as described above. That is, the selection unit 13 changes the content (operating state of the device 2) itself set in one operation pattern among a plurality of existing operation patterns in the storage unit 11. The selection unit 13 can set the excess rate from the second threshold of the predicted value to the second allowable value or less by selecting the operation pattern after the change. In addition, when two or more driving patterns are changed, the selection unit 13 performs a simulation using the two or more driving patterns after the change in the prediction unit 12, and the two or more driving patterns are changed. Among them, the operation pattern having the maximum predicted value, that is, the operation restriction of the operation of the device 2 is selected.

Alternatively, the selection unit 13 is configured to change the second threshold value when there is no operation pattern in which the excess rate from the second threshold value of the prediction value of the prediction unit 12 is equal to or less than the second allowable value. May be.

Specifically, if there is no operation pattern that satisfies the above conditions, the selection unit 13 changes the second threshold value in the storage unit 11 so as to increase the second threshold value. At this time, the selection unit 13 may automatically change the second threshold, or may change the second threshold by causing the user to set a new second threshold. By applying the changed second threshold value, the prediction unit 12 can make the excess rate of the predicted value from the second threshold value equal to or less than the second allowable value.

<Operation of management device>
Next, an operation of the management apparatus 1 according to the present embodiment, that is, a device management method using the management apparatus 1 will be described. Here, a case where the first threshold is set to 3600 kWh and the second threshold is set to 5400 kWh will be described as an example. The first allowable value is arbitrarily set for each power consumer, and is 100% for the first power consumer, 70% for the second power consumer, and 0% for the third power consumer. Assume that it is set. The second allowable value is arbitrarily set for each power consumer, and is set to 80% for the first power consumer, 10% for the second power consumer, and 0% for the third power consumer. Assuming that

First, the management device 1 uses the actual value of power consumption in the device 2 measured by the measuring instrument 3 to calculate the second value of the integrated value of power consumption in the device 2 in the first period shorter than that in the first period. Predict every period (prediction process).

When the predicted value exceeds the first threshold value, the management device 1 selects the excess rate of the predicted value from the first threshold value from the plurality of operation patterns of the device 2 so as to be equal to or less than the first allowable value. The operation pattern is selected in units of the second period (selection process). That is, when the predicted value exceeds 3600 kWh, the management device 1 selects an operation pattern from a plurality of operation patterns of the device 2 so that the excess rate from the predicted value of 3600 kWh is equal to or less than the first allowable value. To do.

Here, since the first allowable value is 100% in the first electric power consumer, an operation pattern is selected in which the excess rate from the predicted value of 3600 kWh is 100% or less, that is, the predicted value is 7200 kWh or less. The Since the first allowable value is 70% in the second electric power consumer, an operation pattern is selected in which the excess rate from the predicted value of 3600 kWh is 70% or less, that is, the predicted value is 6120 kWh or less. Since the first allowable value is 0% in the third power consumer, an operation pattern is selected such that the excess rate from the predicted value of 3600 kWh is 0%, that is, the predicted value is 3600 kWh or less.

Thereafter, the management device 1 controls the device 2 according to the operation pattern selected in the selection process (control process).

Moreover, in the selection process, when there is no operation pattern in which the excess rate from the first threshold value of the predicted value is equal to or less than the first allowable value, the management device 1 causes the predicted value to be equal to or less than the second threshold value. The operation pattern is selected in the second period unit. Furthermore, when there is no operation pattern in which the predicted value is equal to or smaller than the second threshold, the management device 1 sets the second rate so that the excess rate of the predicted value from the second threshold is equal to or smaller than the second allowable value. Select an operation pattern by period.

Here, since the second allowable value is 80% in the first electric power consumer, an operation pattern is selected in which the excess rate from the predicted value of 5400 kWh is 80% or less, that is, the predicted value is 9720 kWh or less. The Since the second allowable value is 10% in the second electric power consumer, an operation pattern is selected such that the excess rate from the predicted value of 5400 kWh is 10% or less, that is, the predicted value is 5940 kWh or less. Since the second allowable value is 0% in the third electric power consumer, an operation pattern is selected such that the excess rate from the predicted value of 5400 kWh is 0%, that is, the predicted value is 5400 kWh or less.

<Effect of this embodiment>
According to the management system 10 of the present embodiment described above, when the prediction value of the prediction unit 12 exceeds the first threshold value, the selection unit 13 sets the excess rate of the prediction value from the first threshold value to the first value. The operation pattern is selected in units of the second period so as to be less than the allowable value. As a result, an effect of reducing power consumption in the device 2 can be obtained while allowing the predicted value to exceed the first threshold value. Therefore, the management system 10 consumes power in the device 2 while ensuring user comfort. There is an advantage that a power reduction effect can be obtained.

In addition, when there is no operation pattern in which the excess rate from the first threshold of the prediction value of the prediction unit 12 is equal to or less than the first allowable value, the selection unit 13 causes the prediction value to be equal to or less than the second threshold. The operation pattern is selected in the second period unit. Therefore, the management system 10 reduces the target from the first threshold value to the second threshold value even if there is no operation pattern in which the excess rate from the first threshold value of the predicted value is equal to or less than the first allowable value. 2 can reduce power consumption.

Furthermore, when there is no driving pattern in which the prediction value of the prediction unit 12 is equal to or lower than the second threshold, the selection unit 13 sets the excess rate of the predicted value from the second threshold to be equal to or lower than the second allowable value. The operation pattern is selected in the second period unit. Therefore, the management system 10 allows the predicted value to exceed the second threshold to some extent even when there is no operation pattern in which the predicted value is equal to or less than the second threshold, and sufficiently reduces the power consumption reduction effect in the device 2. Can get to.

Further, when there is no operation pattern in which the excess rate from the second threshold value of the predicted value is equal to or less than the second allowable value, the selection unit 13 includes at least one of the plurality of operation patterns stored in the storage unit 11. Change one driving pattern. Therefore, the management system 10 changes the operation pattern even when there is no operation pattern in which the excess rate from the second threshold value of the predicted value is equal to or less than the second allowable value, thereby reducing the power consumption effect in the device 2. Obtainable.

Alternatively, the selection unit 13 changes the second threshold value when there is no operation pattern in which the excess rate from the second threshold value of the prediction value of the prediction unit 12 does not exceed the second allowable value. Accordingly, the management system 10 changes the second threshold value to reduce power consumption in the device 2 even when there is no operation pattern in which the excess rate of the predicted value from the second threshold value is less than or equal to the second allowable value. An effect can be obtained.

Furthermore, since the prediction unit 12 is configured to predict the integrated value of power consumption in the device 2 using the specification information of the device 2 and the operation schedule of the device 2, the specification information and the operation schedule are used. Compared with the case where there is not, the prediction accuracy of the integrated value of the power consumption in the apparatus 2 becomes high.

Further, since the prediction unit 12 predicts the integrated value of power consumption in the device 2 using the weather data acquired by the acquisition unit 15, the integrated value of power consumption in the device 2 compared to the case where the weather data is not used. The prediction accuracy of becomes higher.

(Embodiment 2)
The management system 10 according to the present embodiment causes the selection unit 13 to set the probability that the prediction value exceeds the first threshold value to be equal to or less than the first allowable value when the prediction value of the prediction unit 12 exceeds the first threshold value. In addition, it differs from the management system 10 of the first embodiment in that the operation pattern is selected in units of the second period. Hereinafter, the same configurations as those of the first embodiment are denoted by common reference numerals, and description thereof will be omitted as appropriate.

That is, in the first embodiment, when the predicted value exceeds the first threshold, the selection unit 13 sets the driving pattern so that the excess rate of the predicted value from the first threshold is equal to or less than the first allowable value. Was selected. On the other hand, in this embodiment, when the predicted value exceeds the first threshold, the selection unit 13 sets the driving pattern so that the probability that the predicted value exceeds the first threshold is equal to or less than the first allowable value. select.

Here, the probability that the predicted value exceeds the first threshold is calculated as follows.

That is, the probability that the predicted value exceeds the first threshold is expressed using a probability density function as shown in FIG. As a premise, the predicted value is not a fixed value, but can take various values depending on uncertain factors such as the user's life pattern and weather data. Here, it is assumed that the predicted value is normally distributed.

For this reason, in the present embodiment, μ + 3σ represented by the average value μ and standard deviation σ of the predicted values is compared with the first threshold value E1, and the predicted value of the prediction unit 12 is first when μ + 3σ> E1. It is defined as exceeding the threshold value. In short, when μ + 3σ> E1, the selection unit 13 selects the operation pattern in units of the second period so that the probability that the predicted value exceeds the first threshold value is equal to or less than the first allowable value.

The probability that the predicted value exceeds the first threshold is represented by the area of the probability density function in the range exceeding the first threshold E1 (area of the hatched portion in FIG. 3) × 100 [%]. For example, if the average value of the predicted values is the first threshold value E1, the probability that the predicted value exceeds the first threshold value is “50%”.

By the way, there is a possibility that there is no driving pattern that satisfies the condition that the probability that the predicted value exceeds the first threshold value is equal to or less than the first allowable value among the plurality of driving patterns stored in the storage unit 11. is there. Therefore, in the present embodiment, when there is no driving pattern in which the probability that the predicted value exceeds the first threshold is equal to or less than the first allowable value, the selection unit 13 causes the predicted value to be equal to or less than the second threshold. The operation pattern is selected in the second period unit.

Moreover, in this embodiment, the selection part 13 makes the probability that a predicted value exceeds a 2nd threshold value below a 2nd allowable value, when the driving | running pattern in which the predicted value of the prediction part 12 becomes a 2nd threshold value or less does not exist. As described above, the operation pattern is selected in units of the second period.

Furthermore, in this embodiment, when there is no operation pattern in which the probability that the predicted value exceeds the second threshold value is equal to or less than the second allowable value, the selection unit 13 selects the operation pattern stored in the storage unit 11. Is configured to change. Alternatively, the selection unit 13 may be configured to change the second threshold when there is no operation pattern in which the probability that the predicted value exceeds the second threshold does not exceed the second tolerance.

<Effect of this embodiment>
According to the management system 10 of the present embodiment described above, when the prediction value of the prediction unit 12 exceeds the first threshold, the selection unit 13 sets the probability that the prediction value exceeds the first threshold as the first tolerance. The operation pattern is selected in units of the second period so as to be equal to or less than the value. As a result, an effect of reducing power consumption in the device 2 can be obtained while allowing the predicted value to exceed the first threshold value. Therefore, the management system 10 consumes power in the device 2 while ensuring user comfort. There is an advantage that a power reduction effect can be obtained.

In addition, when there is no operation pattern in which the probability that the predicted value of the predicting unit 12 exceeds the first threshold value is less than or equal to the first allowable value, the selecting unit 13 is configured so that the predicted value is equal to or less than the second threshold value. An operation pattern is selected in the second period unit. Therefore, the management system 10 reduces the target from the first threshold value to the second threshold value and reduces the device 2 even when there is no driving pattern in which the probability that the predicted value exceeds the first threshold value is less than or equal to the first allowable value. The effect of reducing power consumption can be obtained.

Furthermore, when there is no driving pattern in which the prediction value of the prediction unit 12 is equal to or less than the second threshold, the selection unit 13 sets the probability that the prediction value exceeds the second threshold to be equal to or less than the second allowable value. An operation pattern is selected in the second period unit. Therefore, the management system 10 allows the predicted value to exceed the second threshold to some extent even when there is no operation pattern in which the predicted value is equal to or less than the second threshold, and sufficiently reduces the power consumption reduction effect in the device 2. Can get to.

In addition, when there is no operation pattern in which the probability that the predicted value exceeds the second threshold is equal to or less than the second allowable value, the selection unit 13 is at least one of the plurality of operation patterns stored in the storage unit 11. Change one driving pattern. Therefore, even when there is no operation pattern in which the probability that the predicted value exceeds the second threshold value is equal to or less than the second allowable value, the management system 10 changes the operation pattern to obtain an effect of reducing power consumption in the device 2. be able to.

Alternatively, the selection unit 13 changes the second threshold value when there is no operation pattern in which the probability that the prediction value of the prediction unit 12 exceeds the second threshold value is less than or equal to the second allowable value. Therefore, even if there is no operation pattern in which the probability that the predicted value exceeds the second threshold value is equal to or less than the second allowable value, the management system 10 changes the second threshold value and reduces the power consumption in the device 2. Can be obtained.

Other configurations and functions are the same as those in the first embodiment.

By the way, in Embodiment 1, the selection part 13 selects a driving | running pattern so that the excess rate from the 1st threshold value of a predicted value may be below a 1st allowable value, and also from the 2nd threshold value of a predicted value. The operation pattern is selected so that the excess rate of the value is equal to or less than the second allowable value. In other words, in the first embodiment, the selection unit 13 sets an excess rate from the threshold value of the predicted value for both the first threshold value and the second threshold value as an allowable value (first allowable value or second allowable value). The driving pattern is selected as follows.

On the other hand, in the second embodiment, the selection unit 13 selects an operation pattern so that the probability that the predicted value exceeds the first threshold value is equal to or less than the first allowable value, and the predicted value is the second value. The driving pattern is selected so that the probability of exceeding the threshold is less than or equal to the second allowable value. In other words, in the second embodiment, the selection unit 13 sets the probability that the predicted value exceeds the threshold value for both the first threshold value and the second threshold value below the allowable value (first allowable value or second allowable value). Select the driving pattern as follows.

However, not limited to the above-described example, the configuration of the first embodiment and the configuration of the second embodiment may be appropriately combined. That is, the selection unit 13 sets the excess rate from the threshold value of the predicted value for one of the first threshold value and the second threshold value to the allowable value or less, and sets the probability that the predicted value exceeds the threshold value for the other to be the allowable value or less. The driving pattern may be selected to do so.

While the invention has been described in terms of several preferred embodiments, various modifications and variations can be made by those skilled in the art without departing from the true spirit and scope of the invention, ie, the claims.

Claims

A storage unit storing a plurality of operation patterns for the device;
Using the actual value of power consumption in the device measured by the measuring device, the integrated value of power consumption in the device in the first period is predicted for each second period shorter than the first period. A predictor;
When the prediction value of the prediction unit exceeds the first threshold, the excess rate of the prediction value from the first threshold or the probability that the prediction value exceeds the first threshold is equal to or less than the first allowable value. A selection unit that selects an operation pattern from the plurality of operation patterns in the second period unit;
A control unit that controls the device according to the operation pattern selected by the selection unit.
The selection unit has an excess rate from the first threshold of the prediction value of the prediction unit or a probability that the prediction value exceeds the first threshold in the plurality of operation patterns below a first allowable value. When there is no driving pattern to be selected, the driving pattern is selected from the plurality of driving patterns in the second period unit so that the predicted value is equal to or smaller than the second threshold value that is larger than the first threshold value. The management apparatus according to claim 1, wherein the management apparatus is configured as described above.
The selection unit, when there is no driving pattern in which the predicted value of the prediction unit is equal to or less than the second threshold value in the plurality of driving patterns, the excess rate of the predicted value from the second threshold value or The operation pattern is selected from the plurality of operation patterns in the second period unit so that the probability that the predicted value exceeds the second threshold value is equal to or less than the second allowable value. The management apparatus according to claim 2.
The selection unit has an excess rate from the second threshold value of the prediction value of the prediction unit or a probability that the prediction value exceeds the second threshold value below a second allowable value in the plurality of operation patterns. The operation pattern according to claim 3, wherein when there is no operation pattern to be changed, at least one operation pattern is changed from among the plurality of operation patterns stored in the storage unit. Management device.
The selection unit has an excess rate from the second threshold value of the prediction value of the prediction unit or a probability that the prediction value exceeds the second threshold value below a second allowable value in the plurality of operation patterns. The management apparatus according to claim 3, wherein the second threshold is changed when there is no operation pattern.
6. The prediction unit is configured to predict an integrated value of power consumption in the device using specification information of the device and an operation schedule of the device. The management device according to claim 1.
It further includes an acquisition unit that acquires weather data,
7. The prediction unit is configured to predict an integrated value of power consumption in the device using the weather data acquired by the acquisition unit. The management apparatus as described in.
Prediction that predicts an integrated value of power consumption in the device in the first period for each second period shorter than the first period, using the actual value of power consumption in the device measured by the measuring instrument Process,
When the predicted value of the prediction process exceeds a first threshold, the excess rate of the predicted value from the first threshold or the probability that the predicted value exceeds the first threshold is equal to or less than the first allowable value. As described above, a selection process of selecting an operation pattern in units of the second period from among a plurality of operation patterns of the device;
And a control process for controlling the apparatus according to the operation pattern selected in the selection process.
Multiple devices,
A measuring instrument for measuring power consumption in the device;
A management device for controlling the device,
The management device
A storage unit storing a plurality of operation patterns for the device;
Using the actual value of power consumption in the device measured by the measuring instrument, the integrated value of power consumption in the device in the first period is predicted for each second period shorter than the first period. A predictor to
When the prediction value of the prediction unit exceeds the first threshold, the excess rate of the prediction value from the first threshold or the probability that the prediction value exceeds the first threshold is equal to or less than the first allowable value. A selection unit that selects an operation pattern from the plurality of operation patterns in the second period unit;
A control unit that controls the device according to the operation pattern selected by the selection unit.