WO2017131026A1

WO2017131026A1 - Power management device, system and method, and program

Info

Publication number: WO2017131026A1
Application number: PCT/JP2017/002537
Authority: WO
Inventors: 有紀子勝木; 祐輔森
Original assignee: 日本電気株式会社
Priority date: 2016-01-26
Filing date: 2017-01-25
Publication date: 2017-08-03

Abstract

The present invention takes into consideration the overall power consumed at a plurality of stores and saves energy at each store. The present invention is provided with: an information acquisition unit for acquiring point-of-sale (POS) information of the plurality of stores; and an upper limit value setting unit for allocating an upper limit value of a power consumption amount at each store within the upper limit value of the overall power consumption amount of the plurality of stores on the basis of the POS information.

Description

Power management apparatus, system and method, and program

[Description of related applications]
The present invention is based on a Japanese patent application: Japanese Patent Application No. 2016-012830 (filed on Jan. 26, 2016), and the entire description of the application is incorporated herein by reference.
The present invention relates to a system, apparatus, method, and program suitable for power management in a store or the like.

In a store such as a convenience store (hereinafter abbreviated as “convenience store”) or a supermarket (hereinafter abbreviated as “supermarket”) that has multiple stores, air conditioning equipment, refrigeration / refrigeration equipment, lighting equipment, There is a demand for power saving and power saving of various electric facilities (also referred to as “equipment”) such as an electromagnetic cooker.

Recently, an energy management system (EMS) that performs device control for power saving and visualization of power consumption has been put into practical use. For example, residential EMS is also called HEMS (Home EMS), and commercial building EMS is also called BEMS (Building EMS).

BEMS is being introduced not only to high-voltage and large-volume customers whose contracted power with an electric power company (electric power company) is, for example, 500 kW (kilowatt) or more, but also to high-voltage and small-sized customers of 50 kW to less than 500 kW. An operator (energy utilization information management operator) that provides centralized power management for commercial buildings and the like by BEMS cloud service and manages and supports energy saving is called a “BEMS aggregator”.

In stores and commercial buildings (commercial facilities) where BEMS is introduced, for example, devices that perform demand monitoring, demand control, system power measurement, etc. are connected to a BEMS server (cloud server) via a network, and stores, buildings, etc. The measurement result of the power of the entire facility or the power of each device such as an air conditioner or lighting device is periodically transmitted to the BEMS server. In addition, if the demand value (maximum demand power) is changed based on tight supply and demand information from the BEMS server, and the power used is likely to exceed the contracted power, air conditioning with high power consumption in facilities such as stores and buildings Electric power control of equipment and the like is performed. For example, the average power consumption (kWh: kilowatt hour) in units of 30 minutes (also called “demand time limit”) is calculated by the watt-hour meter as the power of the entire facility such as a store or a building. Is the maximum demand power (demand value) of the month. The maximum demand power (kW) is a value obtained by dividing the accumulated power amount (kWh) for 30 minutes by 30 minutes (= 0.5 h).

The electricity charge of a power company is composed of, for example, “basic charge” and “electricity charge” In the case of a power contract with a “high voltage” customer, for example, the basic charge is determined based on the maximum value (peak) of the average power used in 30 minutes measured by a watt hour meter. Are known. In this case, in the high-pressure small mouth (for example, 50 kW or more and less than 500 kW), the peak of the most recent one year becomes the standard of the basic charge. For this reason, if an excessive amount of power is used in a 30-minute time period in a certain month, a high basic fee based on the excessive amount of electricity in that month becomes the monthly basic fee for one year from that month. . For large-scale buildings and factories such as “high-voltage large outlets” and “special high-voltage” with large contract power, the peak of usage (maximum demand power) is determined by contract with the power company. If you use more than the power, a “contract surplus” will be collected. In this way, when a supply-demand contract (actual amount system) is concluded with an electric power company, the power at the moment when the highest power is generated throughout the year (average power used in 30 minutes) is set as demand (maximum demand power). That number is the monthly basic charge.

As illustrated in FIG. 12, the power supply company compares the maximum demand power of each month with the maximum demand power (maximum demand) of each month for the past one year including the month, Maximum demand power in a certain month (September X) is contract power (Non-Patent Document 1). Therefore, if the maximum demand power for the past year including the current month is high, the contract fee for the maximum demand power for the past year is paid even if the maximum demand power for the current month is low. In the example of FIG. 12 (A), the use of power starts in July X, and in July, August, and September, the demand for each month becomes the contract power, and as shown in FIG. 12 (B), The demand values from October X to August X + 1 are all 61 kW or less, but the contract power of September X is 65 kW. If the demand value is 65 kW, the power consumption for 30 minutes is 65 kW × 0.5 h = 32.5 kWh.

As described above, if the maximum value of average used power in 30-minute units exceeds the contract power in a certain month, the contract power is updated to the maximum value exceeding the contract power from the next month, and the basic charge of power increases. It will be. Also, the contract power cannot be reduced for one year from this month.

Therefore, a system for limiting the load is implemented when the power is monitored by the demand monitoring device and the average power used for 30 minutes is likely to exceed the contract power. For example, by providing a demand controller in the BEMS system, a configuration in which peak power is suppressed and power consumption is reduced is adopted.

A typical demand controller constantly monitors the current power (actual value) and load status, and controls the power of electrical equipment so that the demand value (maximum value of average power used in 30 minutes) does not exceed the contract power. I do. For example, when the predicted value of power is likely to exceed a target value (target demand value), for example, a warning is issued to alert the administrator and encourage power saving. In addition, when the predicted power value exceeds the target value, and the remaining power saving for 30 minutes alone causes the accumulated power for 30 minutes to exceed the target value, for example, a shut-off alarm is issued, and air conditioning equipment is blown from the cooling system. Alternatively, there is a system in which an apparatus that does not affect operations is stopped. When the predicted integrated power may exceed the contract power, control for stopping the operation of some electric facilities may be performed. For example, by registering in advance the electrical equipment to be cut when the excess of contract power is predicted in the demand controller, if the predicted power exceeds the contract power, for example, the pre-registered electrical equipment is automatically It is also possible to prevent excess by blocking. Further, the demand controller may perform peak cut to reduce the power at the moment when the load becomes the largest. Alternatively, peak cutting may be performed by supplying electric power from the private power generation facility to the load. Even if a private power generation facility is introduced to cut demand peaks, a contract to receive power supply from a power company (self-supplied power supply contract) should be made when the private power generation facility fails. May be.

Regarding power management, for example, Patent Document 1 discloses a consumer power consumption control management system capable of appropriately reducing power consumption in an office building by managing it with an energy center via a network. In this system, the energy center collects measurement data of power consumption in each office building from the BAS by communicating with BAS (Building Automation System) of each office building, and the past measurement data of power consumption of each office building is collected. Based on the power consumption history pattern of each office building calculated from the current data, measurement data of power consumption of each office building, weather including temperature and humidity, and supplementary information for forecasting total power demand including event information in the office building The total demand power of each office building is predicted, and the BAS is commanded through the network to control the power consumption in each office building based on the total demand power of each office building.

Further, Patent Document 2 discloses a power that makes it possible to instantly search for a partner to supply surplus power or procure insufficient power and perform a transaction of a small amount of power according to the fluctuating power supply or power consumption. A demand adjustment system is disclosed. In this system, when the home determines that there is surplus or insufficient power, it sends a power reception request or power transmission request to other power consumers via the communication network, and other power consumers respond to these received requests. If it is determined whether or not it is possible to receive or transmit power based on the power demand measured in-house, and if it is determined that power or power transmission is possible, a power reception response or power transmission response is transmitted to the requesting power consumer via the communication network. Supply surplus power and procure insufficient power.

Patent Document 3 discloses a system that efficiently suppresses power consumption in a store when performing notification for the purpose of reducing power consumption based on power consumption information or controlling operation of electrical equipment. In this system, the power management server is configured such that the power management server acquires power consumption of a store or power consumption of an electrical device installed in the store, and power consumption acquired via the power consumption acquisition unit. The management means which performs the notification for the purpose of the power consumption reduction based on information, or the operation control of an electric equipment is provided. The power management server further includes information acquisition means for acquiring POS information at the store, and a storage device that stores the POS information and the power consumption information in association with each other, and the past POS information stored in the storage device. And power consumption prediction means for predicting the subsequent power consumption in the store from the POS information acquired sequentially based on the relationship between the power consumption information and the power consumption information.

Patent Document 4 discloses a system that makes it possible to take effective power saving measures in a plurality of stores shared by business operators. In this system, the facility controller acquires the store power consumption amount and transmits it to the integrated management device. The integrated management device calculates the predicted power amount of the store based on the historical data of the store power consumption amount, and the predicted power Based on the quantity and the overall target value, the target upper limit value of the store is determined, and the target upper limit value is transmitted to the equipment controller, and the equipment controller controls the operation of the equipment based on the target upper limit value.

As a related technique for discriminating the state of a device from a power waveform, Patent Document 5 discloses a device separation using characteristic changes in a power waveform such as a step-like change or an instantaneous high power waveform. It is described that by determining this state, it is also possible to determine a period during which an electric device that does not include a power measuring device is not operating and a period during which power consumption is low.

In

Non-Patent Documents

2 and 3, the current waveform flowing in the main board of the distribution board is observed, and the current waveform for each device is separated based on AI (Artificial Intelligence) using machine learning on the cloud server. A device separation technique for estimating power consumption for each device and on / off for each device is disclosed.

JP 2002-209335 A JP 2003-324850 A JP 2012-168675 A JP 2014-023243 A International Publication No. 2011/066798

The following is an analysis of related technologies.

In multi-store convenience stores and tenant stores such as shopping centers, for example, the electricity price is determined by the maximum power consumption in a plurality of stores or the entire building.

In each store, a system has been realized that understands the relationship between the power in each store and the power in the entire store (for example, the entire store group managed as a group in the headquarters, such as stores that are chained in a certain area). The fact is that there is no. In this case, it is not possible to appropriately save power in each store in consideration of the entire stores.

Therefore, it is desirable to realize a system that reduces power charges by controlling power consumption in stores such as convenience stores that are deployed in chains and tenants of commercial buildings in consideration of the power of the entire stores.

An object of the present invention was created in view of the above problems, and one of the objects is an apparatus, a system, a server apparatus, and the like that save power in each store in consideration of the power of the entire stores. It is to provide a method and a program.

According to one aspect of the present invention, the first means for acquiring at least power information and POS (Point-Of-Sale) information of each of a plurality of stores, and the plurality of the plurality of stores based on at least the POS information of each store A second means for allocating the upper limit value of the power consumption amount of each store within the upper limit value of the power consumption amount of the entire store.

According to another aspect of the present invention, there is provided a server device that is communicatively connected to a communication device of a plurality of stores via a network, and includes a first unit that acquires at least POS information of each of the plurality of stores, And a second means for allocating an upper limit value of the power consumption amount of each store within an upper limit value of the power consumption amount of the entire plurality of stores based on at least the POS information of the store. The

According to another aspect of the present invention, at least POS information of each of a plurality of stores is acquired, and each of the respective stores is within an upper limit value of power consumption of the plurality of stores based on at least the POS information of each store. A power management method for allocating an upper limit value of power consumption of a store is provided.

According to another aspect of the present invention, a first process of acquiring at least POS information of each store to a computer that communicates with a communication device of a plurality of stores via a network, and at least the each store Based on power information and POS information, there is provided a program that executes a second process of assigning an upper limit value of the power consumption amount of each store within an upper limit value of the power consumption amount of the plurality of stores as a whole.

According to the present invention, a computer-readable recording medium (semiconductor memory, magnetic recording medium, CD (Compact Disc) storage, etc.) on which the program is recorded is provided.

According to the present invention, it is possible to optimize the electricity rate of each store.

It is a figure which illustrates an example of the system configuration | structure of exemplary embodiment of this invention. It is a figure which illustrates another example of the system configuration | structure of exemplary embodiment of this invention. (A) is a figure which illustrates an example of the store of one exemplary embodiment of the present invention. (B) thru | or (E) is a figure explaining an apparatus isolation | separation technique. (A) is a figure which illustrates another example of the store of one exemplary embodiment of the present invention. (B), (C) is a figure explaining measurement and prediction of electric energy. It is a figure which illustrates an example of the server of one exemplary embodiment of the present invention. It is a figure explaining the principle of operation of one exemplary embodiment of the present invention. It is a figure which illustrates the other example of the server of exemplary embodiment of this invention. FIG. 6 illustrates power control in an exemplary embodiment of the invention. (A), (B), (C) is a figure which illustrates an example of the information of the memory | storage part of the server of exemplary embodiment of this invention. (A), (B) is a figure which illustrates the process of the server of exemplary embodiment of FIG. 5, FIG. It is a figure which illustrates the basic concept of this invention. (A), (B) is a figure explaining the contract electric power of a small high voltage.

The basic form of the present invention will be described. Referring to FIG. 11, the power management device (server device) 100 according to the basic form of the present invention obtains at least POS (Point-Of-Sale) information for each store of a plurality of stores (first means) ) 101 and at least an POS information of the store, an upper limit value setting unit that assigns an upper limit value of the power consumption amount of each store within the preset upper limit value of the total power consumption of the plurality of stores (first) 2 means) 102. The plurality of stores may be stores that are subject to a collective power receiving contract with the power supply business owner.

Based on the POS information acquired from each store, the upper limit value setting unit (second means) 102 is configured such that the total power consumption of the entire plurality of stores is a preset upper limit value of the total power consumption of the entire plurality of stores. So that the upper limit value of the power consumption amount of each store is assigned in real time (or every predetermined time interval). The upper limit setting unit (second means) 102 sets at least the POS information of each store (for example, sales of each store acquired in real time) with respect to the preset upper limit value of the total power consumption of a plurality of stores. Depending on the information etc., weighting (priority) may be given and an upper limit value of power consumption of each store may be assigned (distributed). For example, a store with relatively large sales may be set so that the upper limit value to be allocated is larger within a range that falls within a preset upper limit value of the total power consumption of a plurality of stores. In the upper limit setting unit (second means) 102, when the upper limit value of the power consumption amount of a certain store is changed based on the POS information from each store, If it is determined that there is no problem even if the set value (assigned value) is used, the set value may be used as it is, or the other set value may be used in order to further improve the efficiency of power use. You may change the upper limit of the power consumption of a store.

Alternatively, the upper limit value setting unit (second unit) 102 considers store information (for example, at least one of store size and sales of the store) in addition to the POS information of the store, and consumes the entire plurality of stores. You may make it allocate the upper limit of the electric power consumption of each store within the upper limit of electric energy. For example, in the upper limit setting unit (second means) 102, the store area is relatively large based on store information (for example, store size information, sales information, or device information installed in the store). For stores with relatively large scales of equipment (relatively large power consumption) and relatively large sales, the range of the upper limit value of the total power consumption for all stores set in advance The upper limit value of the power consumption allocated to the store may be set to a relatively large value.

The power management apparatus (server apparatus) 100 is based on the power information and POS information acquired from the store in real time, and the sales of the store at that time are expected to further increase, and accordingly, the power consumption is expected to increase further. The upper limit value of the power consumption of the store may be increased within a range that falls within the upper limit value of the total power consumption of the plurality of stores. Or, based on the power information and the POS information acquired in real time from the store, for example, it is predicted that the power consumption in the store will further increase from the time (the time when the power information is acquired). When growth is not predicted, the target value of power consumption at the store at that time is lowered from the set value up to that point. For example, the amount of power used for 30 minutes (demand time limit) at the store is You may make it perform electric power control (for example, peak cut etc.) of the installation (equipment) of a store so that it may be settled in the upper limit of power consumption.

The power management apparatus (server apparatus) 100 has a store with relatively little power consumption at the current time of the store based on the store power information and the POS information and the store information (the store power consumption is in the store). If it is determined that the power margin is lower than the set upper limit value, the power margin (power margin) of the store may be adjusted to accommodate other stores with relatively large power consumption. That is, the power management apparatus (server apparatus) 100 is based on the information on the amount of power of each store acquired in real time from each store, “the power consumption amount of one store is below the upper limit value assigned to the one store. If it is determined, the surplus power (the difference between the upper limit value assigned to the store and the power consumption amount of the store) is set to the upper limit value of the power amount of other stores with relatively large power consumption amount. You may make it allocate. At that time, the power management apparatus (server apparatus) 100 may update the upper limit value of the power consumption of other stores.

The power management device (server device) 100 is expected to reduce the power consumption of the store based on the power information acquired in real time from the store and the POS information, and the unit (demand on demand) in the store If it is expected that the power usage amount of (time limit) is less than the upper limit value set by the upper limit value setting unit (second means) 102, whether the power upper limit value of the store is maintained as it is (in the store) The actual power consumption is less than the upper limit value), or the upper limit value of the power consumption allocated to the store may be lowered by a predetermined amount. In this case, the power management apparatus (server apparatus) 100 may increase the upper limit value of the power consumption amount of a store that requires more power consumption by a predetermined amount from other current stores. Good. Of course, the method of assigning the total power upper limit value of the entire plurality of stores to each store is not limited to the above example.

For example, the upper limit value setting unit (second means) 102 predicts the number of customers (number of customers) to the store based on at least one of weather information, event information, and regional information, and displays the predicted number of customers. In consideration, an upper limit value of the power consumption of the store may be set.

The upper limit value setting unit (second means) 102 is based on historical information such as POS information and power information stored in the storage unit, in addition to information (POS information) acquired in real time from the store. You may make it set the upper limit of quantity.

Alternatively, the upper limit setting unit (second means) 102 may select an area subject to power restriction (and therefore a store installed in the area) based on weather information or the like.

The power management device (server device) 100 may further acquire power information from the store and notify the store of the power saving amount for achieving the target upper limit value.

The power management apparatus (server apparatus) 100 collects data of power information (power consumption for each device) in each store from a gateway installed in the store (the power information may include a current waveform).

The power management apparatus (server apparatus) 100 may acquire the total electricity consumption in the entire store from the smart meter by B route (920 MHz).

The power management device (server device) 100 may acquire the power usage of each electrical facility (each device) in the store with a current sensor or a smart tap installed on the distribution board.

Alternatively, the power management device (server device) 100 may receive the power usage amount of each electrical facility (each device) acquired by a demand monitoring device installed in a store or the like.

Based on the power information acquired from each store in real time and the store information (including sales), the power management apparatus (server apparatus) 100 has a target value (target power) of power consumption for each store at that time. May be set.

When the power management apparatus (server apparatus) 100 knows the state (including power consumption) for each device in the store, the power consumption of the store is within the upper limit set for the store. In order to suppress it, you may make it notify the advice regarding which apparatus should be controlled how in the store. Alternatively, the power control of the store may be executed by a demand controller (not shown) under the control of the power management apparatus (server apparatus) 100.

The power management device (server device) 100 sets a target value (target power amount) of power used for each unit time (for example, 1 minute) in the store based on power information and POS information acquired in real time from the store. In this case, a default target power amount is calculated based on, for example, a value obtained by dividing the upper limit value (set by the upper limit value setting unit 102) for 30 minutes (demand time limit) in the store by 30, for example. Set the value, adjust the default value of the target power amount to be within the upper limit value assigned to the store based on the POS information acquired in real time from the store, and set it as the target power amount Also good. The power management apparatus (server apparatus) 100 is configured so that the integrated power consumption (actual value) in units of 30 minutes (demand time limit) in all stores falls within the upper limit of the total power consumption in units of 30 minutes in all stores. The upper limit value of the power consumption amount at each store may be variably controlled in real time, every predetermined time, or every event occurrence. In addition, the upper limit value of the total power consumption of a plurality of stores in units of 30 minutes (demand time limit) is changed according to the setting change of the upper limit value of the power consumption amount of stores in units of 30 minutes (demand time limit). When the value can be reduced below the value, the upper limit value of the total power consumption of the plurality of stores may be lowered (because the contract fee is reduced). In this case, the upper limit value setting unit 102 of the power management apparatus (server apparatus) 100 sets the updated upper limit value (lower value) as the upper limit value of the total power consumption of a plurality of stores set in advance. Is used.

Although not particularly limited, the power management apparatus (server apparatus) 100 transmits the target power amount set based on the power information and POS information acquired in real time from the store to, for example, a demand controller in the store, and the demand controller And you may make it control the electric power (operating state of an apparatus) of the apparatus of a store for every unit time (for example, 1 minute). Alternatively, the power management apparatus (server apparatus) 100 may notify the manager of the store, the store manager, or the like of an alarm by e-mail when it is necessary to significantly reduce the current target power amount.

In the following exemplary embodiment, an example in which the power management apparatus 100 is mounted on a server or the like of an energy management system (EMS) will be described. Of course, the implementation of the power management apparatus 100 is not limited to the server.

FIG. 1 is a diagram schematically illustrating a system according to an exemplary embodiment of the present invention. Referring to FIG. 1, communication devices 21A to 21N installed in stores 20A to 20N such as convenience stores and supermarkets are connected to the server 10 via a network such as the Internet. In FIG. 1, since the server 10 provides an EMS (Energy Management System) cloud service, it is hereinafter referred to as an EMS cloud server 10. However, of course, in the present invention, the server 10 is not limited to a server that provides a cloud service. In FIG. 1, the EMS cloud server 10 may be configured to include the power management apparatus 100 of FIG. Note that the EMS cloud server 10 may be a BEMS cloud server.

The communication devices 21A to 21N of the stores 20A to 20N may be configured to include a gateway or a HEMS controller (or a HEMS terminal).

In the present embodiment, the communication devices 21A to 21N of the stores 20A to 20N may be configured by a HEMS controller, and the HEMS controller may be connected to the EMS cloud server 10 on the Internet via a mobile network (not shown). In this case, the communication device 21 and the EMS cloud server 10 may be connected by a VPN (Virtual Private Network) using, for example, IPsec (Security Architecture for Internet Protocol). The communication devices 21A to 21N of the stores 20A to 20N transmit the power consumption or current waveform of the store 20 to the EMS cloud server 10.

In this embodiment, the communication devices 21A to 21N of the stores 20A to 20N are configured by, for example, a HEMS controller that has acquired SMA (Smart Meter Application) authentication, and the meter reading data (power consumption, etc.) of the smart meters 31A to 31N is B route. You may make it acquire from. Note that, as the B route between the communication devices 21A to 21N and the smart meters 31A to 31N, for example, wireless transmission such as 920 MHz (Mega Herz) band Wi-SUN (Wireless Smart Utility Network) may be used. The communication devices 21A to 21N can acquire meter reading data (power consumption, etc.) from the smart meters 31A to 31N via the B route in real time (for example, every 30 seconds), respectively. Meter reading data (power consumption, etc.) transmitted from the smart meters 31A to 31N to the communication devices 21A to 21N via the B route includes the total power consumption for each store.

In addition, when the distribution boards and devices (not shown) in the stores 20A to 20N have a detection function for detecting power consumption and current in the own device and a communication function such as Wi-SUN, the communication device 21A to 21N may be configured to include a wireless LAN (Local Area Network) broadband router or the like. For example, a current detection device (current sensor) may be provided in the main board or branch breaker of the distribution board, and current waveform data may be transmitted from the current detection device to the communication devices 21A to 21N by wireless transmission.

The EMS cloud server 10 acquires data of power consumption or current waveform in the store 20 from the communication device 21A of the store 20A, for example, and performs device analysis (identifies the operating state of the device from the current waveform), for example. Thus, the power information of each device may be acquired.

The EMS cloud server 10 acquires POS information transmitted in real time from the POS registers of the stores 20A to 20N. The EMS cloud server 10 may acquire power information of the stores 20A to 20N. The EMS cloud server 10 may further acquire store information (for example, store size and sales) of the stores 20A to 20N.

The EMS cloud server 10 is based on at least the POS information of each store, and the total demand value of the entire stores 20A to 20N at that time (when the POS information is acquired) is the total consumption of the entire stores 20A to 20N set in advance. You may make it allocate the upper limit of the power consumption of each store so that the upper limit of electric energy may not be exceeded. For example, in a system configuration where the number of stores is N, weights (coefficients) w _i (0 <w _i <1) (i = 1 to N) corresponding to the sales of stores based on the POS information of each store are used. The upper limit value P _UL [i] (i = 1 to N) of the power consumption amount of the store may be set based on the following equation (1). P _UL (total_demand) is an upper limit value (Upper Limit) of the total power consumption of the entire N stores. However, w _i (i = 1 to N) satisfies the formula (2). Therefore, the sum of the upper limit value P _UL [i] (i = 1 to N) of the power consumption amount of each store is equal to or less than P _UL (total_demand) (formula (3)).

P _UL [i] = w _i × P _UL (total_demand) (i = 1,…, N) (1)

Σ _{i = 1} ^N w _i ≦ 1 (2)

Σ _{k = 1} ^N P _UL [k] ≦ P _UL (total_demand) (3)

For example, for a store with large sales (the weight (coefficient) w is large), the EMS cloud server 10 sets the upper limit value P _UL of the power consumption of the store to a large value corresponding to the sales. Conversely, for a store with small sales (weight (coefficient) w is small), the upper limit value P _UL of the power consumption of the store is set to a small value.

Alternatively, the EMS cloud server 10 has a relatively large store area and a relatively large facility scale such as an air conditioner, and stores with relatively large sales have an upper limit value of power consumption to be allocated. A relatively large value may be set. Therefore, the EMS cloud server 10 has a relatively small store area and a relatively small scale of equipment such as an air conditioner. Set to a relatively small value. In this case, the weight (coefficient) w _i is determined depending on not only the sales of the POS information but also the area of the store, the scale of the facility, and the like.

In the EMS cloud server 10 that has acquired at least POS information from each store, the upper limit value of the power consumption of each store is set as described above. In this case, when power information is acquired from each store in real time, the EMS cloud server 10 uses the power (integrated power) for 30 minutes (demand time limit) of the store based on the power information and POS information of the store. Predicted and predicted power consumption target value (target power amount at the point of time when the power information is acquired so that the predicted power usage is less than or equal to the upper limit of the power consumption amount for 30 minutes set for the store. ) May be set. The EMS cloud server 10 sets the current target power amount of the store for each unit time (for example, 1 minute), so that the accumulated power amount (actual value) for 30 minutes of the store is stored in the store. You may make it control so that the set upper limit may not be exceeded. As a result, the EMS cloud server 10 can control the total demand amount of the plurality of stores (tenants) as a unit of the power contract not to exceed the contract power regarding the entire stores.

When the predicted value of the actual power consumption for 30 minutes (demand time limit) of the store based on the power information and POS information of each store does not reach the upper limit set in advance for the store. Alternatively, when the state where the actual power consumption for 30 minutes (demand time limit) does not reach the upper limit value continues for a predetermined period in the store, the upper limit value set in the store is reset (updated) to a lower value. You may make it do. The EMS cloud server 10 may perform resetting of the upper limit value of the power consumption amount of the store every predetermined period.

The scope of application of the present invention is not limited to high-voltage contracts. For example, in the case of a convenience store for low-voltage power contracts, or when contracts are made individually for each store, a plurality of management targets are provided. Of course, the upper limit value of the power amount of each store may be set based on at least the POS information of each store within the upper limit value of the total power consumption of the entire store.

FIG. 2 is a diagram illustrating an embodiment in which power control is performed in a tenant operating in a commercial building 210 such as a shopping center, as a modification of the system configuration in FIG. 1 is replaced with

tenants

200A and 200B, and the building 210 has a high-voltage power receiving facility 211 including a transformer or the like that steps down from a high voltage (6600V) to a low voltage (100V, 200V), and solar power generation (Solar a private power generator 212 such as photovoltaics). In FIG. 2, only two stores (tenants) are shown for convenience of drawing. The controller 213 may have a demand control function, and may switch the power source to the private power generator 212 when power is tight.

Tenants

200A and 200B are connected to the EMS cloud server 10 via a communication device (not shown). The high-voltage power receiving equipment 211 includes a composite meter (not shown) that measures the amount of power (including a normal power meter, a reactive power meter, and a maximum demand power meter) and a pulse circuit (not shown). Each time the unit power is supplied, a pulse is output, the pulse is detected by a pulse detector, and the amount of power may be measured.

The EMS cloud server 10 acquires power information of the

tenants

200A and 200B, POS information transmitted in real time from the POS register, and tenant information (scale, sales, etc.). Based on the acquired information, the target power of each store, that is, the target power consumption of the store at that time, so that the demand of the stores 20A to 20N at that time does not exceed a preset upper limit value. The value may be set in real time.

FIG. 3A is a diagram schematically illustrating an example of the configuration of the store 20 in FIG. Referring to FIG. 3A, in the store 20, the communication device 21 is configured with a HEMS controller, and meter reading data (power consumption, etc.) of the smart meter 31 is acquired from the B route. The meter reading data (power consumption, etc.) acquired by the HEMS controller from the smart meter 31 through the B route includes information on the power consumption of the entire store 20. In addition, a main sensor or at least one branch breaker (not shown) of the distribution board 22 is provided with a current sensor (CT: Current Transformer) 23 for detecting a current flowing through the main trunk or the branch breaker. The current waveform data may be transmitted to 21 by wireless transmission. The current sensor 23 may be configured by a zero-phase-sequence current transformer (ZCT), a Hall element, or the like. The current sensor 23 samples a current waveform (analog signal) with an analog / digital converter (not shown), converts it to a digital signal, compresses and encodes it with an encoder (not shown), and then sends it to the communication device 21 such as Wi-SUN. It is also possible to transmit wirelessly.

FIG. 3A shows a configuration in which devices 24A to 24C are connected to one branch of the distribution board 22 and one current sensor 23 is connected to the branch for the convenience of drawing. Of course, a plurality of current sensors 23 may be connected to a plurality of branch breakers, respectively.

In the example of FIG. 3A, the EMS cloud server 10 acquires meter reading data (power consumption, etc.) of the smart meter 31 from the B route in real time. Meter reading data (such as power consumption) acquired from the smart meter 31 of the store 20 via the A route may be acquired as the power consumption of the store 20. For example, the EMS cloud server 10 may acquire the power consumption amount of the store 20 from the power supply business owner 30 via the network. For example, the EMS cloud server 10 may access the information providing site of the power supply business owner 30 and acquire the power consumption amount (or the transition information thereof) of the store 20 (however, not real-time information, (It becomes power consumption information for about one hour).

The POS terminal (POS cash register) 25 is placed at the accounting location (cash register) of the store, and transmits POS information including product sales information to the EMS cloud server 10 via the communication device 21 in real time. However, the POS information may be transmitted to the EMS cloud server 10 once via the head office 40.

FIG. 3B is a diagram illustrating a current waveform acquired by the current sensor 23 connected to the distribution board 22 of FIG. The EMS cloud server 10 separates the current waveform data of FIG. 3B into the consumption current waveforms of the devices 24A to 24C connected to the main or branch breaker of the distribution board 22. 3C to 3E show current waveforms of the devices 24A to 24C. When the POS terminal 25 is connected to the branch breaker of the distribution board 22, the current waveform of the POS terminal 25 is similarly separated. In the EMS cloud server 10, for example, device separation techniques described in

Non-Patent Documents

1 and 2 and Patent Document 5 may be used to separate current waveforms.

You may separate the current waveforms of multiple devices using device separation technology as described above, but use device separation technology by connecting a smart tap between the power outlet and the device for each device. Alternatively, the current waveform for each device may be acquired.

Of course, the present invention is not limited to the above configuration. For example, the EMS cloud server 10 receives state information from the communication device 21 via a server (device separation server) that performs device separation, the device separation is performed in the server, and the state information for each separated device is obtained. The EMS cloud server 10 may be configured to receive.

FIG. 4A is a diagram schematically illustrating an example of the configuration of the tenant 200 in FIG. Referring to FIG. 4A, in the tenant 200, a demand control device 204 having functions of a demand monitor and a demand controller receives an electrical pulse signal proportional to the amount of power from the smart meter 201 in real time, and generates a pulse. A built-in pulse detector (not shown) for detection is used to manage the power consumption. The demand control device 204 transmits the power amount measured in real time to the EMS cloud server 10 via the communication device 205.

The air conditioner outdoor unit 203A, the air conditioner indoor unit 203B, the refrigeration / refrigeration facility 203C, the lighting facility 203D, the cooking facility, the switch, and other electrical devices 203E receive power from the distribution board 202, and at least the facilities Some receive power control (eg, peak power cut) from the demand control device 204. The POS terminal (POS register) 206 is placed at a place (register) where accounting is performed, and transmits POS information including sales information to the EMS (BEMS) cloud server 10 via the communication device 205 in real time.

Although not particularly limited, as shown in FIG. 4 (B), the EMS cloud server 10 and the demand control device 204 in FIG. 4 (A), for example, set 00 hours and 30 minutes per hour as the prescribed times. For example, the operation of the air conditioning equipment (devices) 203A and 203B of the devices is controlled so that the power consumption of the store is equal to or less than a preset upper limit value. Here, if the smart meter 201 outputs one pulse (customer-provided pulse) every time 0.1 W is supplied, the demand control device 204 outputs the pulse from the smart meter 201 at time t1 ( When N detections are made in the period (time interval) TI1 from 00 minutes), the predicted value of the power consumption in the period t2 is given by the following equation (4) using the simplest linear approximation.

0.1 × (t ₂ -t ₁ ) × N / TI1 (4)

For example, assuming that TI1 = 5 minutes and the number of pulses N = 100000 in this period, the predicted value for 30 minutes (= t2−t1) is the simplest linear approximation.
0.1 × 100,000 × 30/5 = 60 kW (= 120 kWh).

FIG. 5 is a diagram schematically illustrating a configuration example of the EMS cloud server 10 of FIG. Referring to FIG. 5, the EMS cloud server 10 includes an information acquisition unit 11, an upper limit setting unit 12, an information notification unit 13, a storage unit 14, a storage management unit 15, a communication unit (which acquires POS information of stores 20A to 20N ( Communication interface) 16 and a control unit 17 are provided.

The communication unit 16 of the EMS cloud server 10 includes a transmitter and a receiver (not shown), and communicates with each of the communication devices of the stores 20A to 20N and the headquarter 40 via a network such as the Internet 60. In addition, when it is set as the structure which connects between the EMS cloud server 10 and the store 20 by VPN (Internet VPN) etc., the communication part 16 may be provided with a VPN termination device.

In the EMS cloud server 10, the information acquisition unit 11 acquires the POS information transmitted from the stores 20A to 20N via the communication unit 16. Note that the POS information may be acquired after the information transmitted from the store to the headquarters 40 is temporarily passed through the headquarters 40.

Based on the POS information transmitted from the plurality of stores 20A to 20N, the upper limit value setting unit 12 uses the power consumption of each of the stores 20A to 20N within the upper limit value of the total power consumption of the plurality of stores 20A to 20N. Assign an upper amount limit.

The information notification unit 13 notifies the stores 20A to 20N of the upper limit value of the power consumption of each of the stores 20A to 20N.

The storage unit 14 includes, for example, a semiconductor memory such as an HDD (Hard Disk Drive) device or an SSD (Solid State Drive) including a batch erase type electrically rewritable ROM (Read Only Memory). Although not particularly limited, the storage unit 14 is, for example,
・ POS information of each store,
・ Contract power (for example, contract power for collective power reception contracts),
・ The upper limit of the total power consumption of all stores,
・ Maximum power consumption of each store,
Etc. are stored and retained.

In the storage unit 14, the POS information may be acquired in real time via a communication device such as a store. Alternatively, instead of the form in which the POS information is directly transmitted from the store, the EMS cloud server 10 acquires the POS information transmitted from each store to the headquarter 40 via the headquarter 40 and stores it in the storage unit 14. Also good.

The storage management unit 15 includes an input / output interface for the storage unit 14, and controls writing of data to the storage unit 14 in response to a write access request and reading of data from the storage unit 14 in response to a read access request. The storage management unit 15 may perform data management such as store information and device information stored in the storage unit 14 or database table management and data management.

The control unit 17 controls operations of the information acquisition unit 11, the upper limit setting unit 12, the information notification unit 13, and the like. In FIG. 5, the information acquisition unit 11, the upper limit setting unit 12, the information notification unit 13, the storage management unit 15, and the control unit 17 are on an unillustrated processor (CPU (Central Processing Unit)) that constitutes the EMS cloud server 10. A part or all of the respective functions / processes may be realized by the program executed in the above. In this case, the program may be stored in the storage unit 14, and the processor may read and execute the program in a main memory (not shown).

The information acquisition unit 11 in FIG. 5 described as an embodiment of the EMS cloud server 10 is associated with the information acquisition unit (first means) 101 in FIG. 11 described above, and the upper limit value setting unit 12 in FIG. The information notification unit 13 may be associated with the upper limit setting unit (second unit) 102 in FIG. The configuration in FIG. 5 includes the various functions of the power management apparatus (server apparatus) described with reference to FIG. 11 and the EMS cloud server 10 described with reference to FIG. For example, the information acquisition unit 11 acquires power information and POS information from a plurality of stores 20A to 20N, and the information notification unit 13 achieves the upper limit value of power consumption set for the stores 20A to 20N. You may make it notify of the power-saving amount of.

The information acquisition unit 11 acquires store information including at least one of the store sizes and sales of the plurality of stores 20A to 20N, and the upper limit setting unit 12 further determines at least one of the store size and sales of each store. Considering this, an upper limit value of the power consumption of each store may be set.

The information acquisition unit 11 may acquire at least one of weather information, event information, and area information. In this case, the upper limit setting unit 12 sets the upper limit value of the power consumption amount of each store in consideration of the prediction result of the number of customers to the store based on at least one of weather information, event information, and regional information. You may make it do. The upper limit setting unit 12 may select an area subject to power restriction (a store in the area) based on weather information, event information, regional information, and the like.

The upper limit value setting unit 12 sets the upper limit value of the power consumption of the store based on the POS information acquired in real time from the plurality of stores 20A to 20N and the history information (log information of the POS information). May be.

It is good also as a structure provided with the selection part (not shown) in which the information acquisition part 11 acquires weather information and selects the area (hence the store arrange | positioned in the said area) of electric power restriction | limiting based on weather information.

The upper limit value setting unit 12 may update the setting of the upper limit value for each of the plurality of stores 20A to 20N for each predetermined period. The upper limit setting unit 12 updates the setting of the upper limit value of the power amount of the store to a lower value when the actual power consumption for 30 minutes (demand time limit) of the store does not reach the upper limit value for a predetermined period. You may make it do.

When it is determined that the power consumption of one store is lower than the upper limit value of the one store from the power information acquired from the stores for the plurality of stores 20A to 20N, the upper limit setting unit 12 You may make it allocate the surplus electric power of this store to the upper limit of another store with comparatively much power consumption.

Hereinafter, an example of controlling the EMS cloud server 10 so as not to exceed the upper limit set for the store based on the POS information and power information acquired in real time from the store will be described. FIG. 6 is a diagram schematically illustrating the power profile of the store (the transition of the amount of power used for 30 minutes from 12:00 to 12:30). The horizontal axis in FIG. 6 represents time (time from 12:00 to 12:30), and the vertical axis represents electric energy (unit: kWh).

In FIG.
Reference numeral 601 is the upper limit (unit: kWh) of the 30-minute integrated power consumption (power consumption) of the store. The upper limit value 601 is a value assigned to each store based on the POS information of each store within the upper limit value (corresponding to the contract power of the entire store) of the total power amount of the entire stores (or the entire tenant). May be. Although not particularly limited, in the following, the upper limit value 601 of the accumulated electric energy for 30 minutes in the store is set to 30 kWh (demand value: equivalent to 60 kW). However, the upper limit value 601 is obtained, for example, by converting the contract power in FIG. 12 (maximum demand power (maximum demand) in each month for the past one year including the month) into a power amount (kWh) for 30 minutes. Also good.
Reference numeral 602 is the starting point of control for 30 minutes.
Reference numeral 603 (solid line) is a graph (curve connecting the measured power of the store for each unit time from 12:00 to 12:30) showing the time transition of the measured power amount of the store.
Reference numeral 604 (broken line) is a graph (a graph in which the target power for each unit time is connected by a straight line (or curve)) representing the time transition of the target power amount of the store.
Reference number 605 is the actual amount of power consumed at the store (at 12:20). Reference numeral 606 represents the target power amount of the store (at 12:20).
Reference numeral 607 represents the target power amount immediately before 12:20 (for example, the target power amount calculated at 12:19).
Reference numeral 608 is power prediction (a straight line in the case of primary approximation) for predicting a 30-minute predicted integrated power amount at 12:30 based on the measured power at 12:20.
Reference numeral 609 represents a predicted integrated power amount for 30 minutes.
Reference numeral 610 represents an accumulated power amount (actual value) for 30 minutes (power consumption amount from 12:00 to 12:30 in a store).

In the EMS cloud server 10, for example, when the power amount used in a store is controlled every unit time (for example, 1 minute), as a simple target power amount setting, an upper limit value 601 (30 minutes of accumulated power for a store) For example, a value obtained by dividing 30 kWh by 1/30 (= 1 kWh) may be an ideal value (default value) that is an increase Δ (unit target power amount) per unit time (1 minute). In this case, the ideal value (default value) of the target power amount is such that the accumulated power value for 30 minutes is obtained by keeping the power consumption of the store per unit time within the increase Δ (unit target power amount). It corresponds to an ideal straight line that falls within the upper limit value 601. At the start time 602 (time 12:00), the power consumption of the store is 0, but the target power consumption per unit time (1 minute) at time 12:00 is set to the above-mentioned default value 1 kWh. May be. As a simple example, the upper limit value 601 of 30 minutes of accumulated power in the store is set to 30 kWh, and the default value of the target power amount at 12:00 i (0 ≦ i ≦ 29) is (1 kWh) × (i + 1). In this case, a value obtained by subtracting a predetermined amount from the default value (1 kWh) × (i + 1) based on the store power information and POS information acquired in real time is set as the target power amount for 12 hours i. Also good.

Alternatively, the target power consumption at a certain point in time is set by using polynomial approximation and curve fitting (curve fitting) using a plurality of past target power consumptions, past power consumption (measured power values), etc. fitting) or the like, an optimal value may be calculated.

In the example schematically shown in FIG. 6, assuming that the power usage state at the store continues from the measured power amount 605 of the store acquired at 12:20, the power prediction line 608 and the time 12:30 The predicted integrated power amount 609 for 30 minutes, which is the intersection of the above, exceeds (predicts) the upper limit value 601 of the integrated power amount for 30 minutes. For this reason, the EMS cloud server 10 decreases the unit target power amount at 12:20. That is, an increase in the target power amount 606 at the time of 12:20 from the previous target power amount 607 (for example, the target power amount at 12:19) is suppressed to a low level. In this way, power consumption used in the store is suppressed. That is, in the example of FIG. 6, the rate of increase in measured power from 12:20 per unit time decreases, and as a result, the 30-minute integrated power amount (actually measured value) 610 of the store is less than the upper limit value 601. It has become.

In the EMS cloud server 10, the simplest calculation for predicting the predicted integrated power consumption for 30 minutes from the power consumption (measured value) of the store at a certain point in time is the primary described with reference to FIG. The approximate expression may be used. In the example of the most simplified primary approximation (linear approximation), in FIG. 6, for example, one end (right end) of a predicted power line 608 extending from the actually measured power amount 605 at 12:20 to the predicted integrated power 609 for 30 minutes. ) Is virtually translated to the intersection of the time 12:30 and the upper limit value 601, and the intersection of the other end (left end) of the predicted power line 608 virtually translated and the time 12:20 is defined as 12 As a virtual reference value of the target power at the time of 20 minutes, this reference value is adjusted based on the POS information of the store, further store information, weather information, event information, etc. The target power amount 606 may be calculated. For example, when sales and customers tend to increase based on store POS information, suppression of increase in target power amount 606 (power saving amount) may be relaxed (or upper limit value 601 may be slightly increased). Good). That is, based on the POS information of the store, when the sales of the store or the number of customers visiting the store are increasing, the target power amount 606 and the upper limit value 601 may be increased accordingly.

In a certain store, the EMS cloud server 10 has an accumulated power amount (actual value) 610 for 30 minutes less than the upper limit value 601 or an accumulated power amount (actual value) 610 for 30 minutes is less than the upper limit value 601. When a certain state continues for a predetermined period, a store upper limit value 601 may be updated to a lower value.

FIG. 7 is a diagram schematically illustrating a configuration example in which the control function described with reference to FIG. 6 is further mounted on the EMS cloud server 10 described with reference to FIG. Referring to FIG. 7, the EMS cloud server 10 further includes an integrated power prediction unit 18 and a target value setting unit 19 that predict the integrated power in addition to the configuration of FIG. 5.

In the EMS cloud server 10, the information acquisition unit 11 acquires power consumption, current waveform data, POS information, and the like transmitted from a store (for example, 20A-N in FIG. 1, 200A, 200B in FIG. 2). The information acquisition unit 11 may acquire the current waveform of the store and analyze the operating state of the store air conditioner, refrigeration / cooling device, etc., for example, by performing device analysis. Alternatively, the information acquisition unit 11 obtains power information for each device acquired by a smart tap (not shown) or the like to which each device (24A to 24C in FIG. 3A) is connected in the store shown in FIG. Alternatively, it may be acquired via a store communication device (21 in FIG. 3A).

As described with reference to FIG. 6, the integrated power prediction unit 18 of the EMS cloud server 10 predicts, for example, a predicted integrated power amount for 30 minutes from the current power amount (power information acquired from the store in real time). To do.

The target value setting unit 19 can measure the actual measured power amount at the present time (power information acquired from the store in real time), the POS information acquired from the store, or the store information (store size, sales), as necessary, weather, Based on the event information and the like, a target power amount at the current time in the store (corresponding to 606 in FIG. 6) is calculated. As described above, if the current target power is used as it is, the integrated power predicting unit 18 predicts that the integrated power amount (actually measured value) when reaching 30 minutes exceeds the upper limit value of the store (601 in FIG. 6). In this case, an increase from the target power amount immediately before the target power amount may be suppressed.

It should be noted that the target value setting unit 19 is not limited to the configuration for calculating the target power amount based on the store power information. For example, the target value setting unit 19 may calculate the target power amount at the current time in the store from information on the power consumption amount for each device installed in the store.

However, since the 30-minute integrated power amount (actual value) 610 in FIG. 6 only needs to be less than the upper limit value 601 of the 30-minute integrated power amount, the target value setting unit 19 may store the power information, POS information, Based on store information, weather, event information, etc., the current time is between 00 minutes and 30 minutes: For example, when the sales are at the 15th minute and the sales at the POS cash register are 5 minutes before and after that, Instead of reducing, the most recently set value may be held, and for example, the target power amount may be significantly reduced in the remaining 20 to 30 minutes. In this case, control of the target power consumption for each unit time is based on statistical analysis such as sales patterns by day of the week, sales by month, sales patterns by time of day, prediction technology, machine learning, or rule base. Of course, this may be performed using AI (Artificial Intelligence) technology or the like. Note that the upper limit setting unit 12 may update the upper limit value 601 of the store based on the accumulated power amount (actual value) for 30 minutes in the store, POS information, store information, and the like. is there.

The information notification unit 13 notifies each store (tenant) of the target power amount (unit target power amount) calculated by the target value setting unit 19 in addition to the upper limit value set by the upper limit value setting unit 12. For example, when the target power amount is set every unit time (for example, in units of one minute), the current target power amount (target power amount per unit time) is notified to the demand controller in the store or building. It may be. The demand controller performs power control of the facility based on the current target power amount. On the other hand, in the case of a store that does not have a demand controller, if the fluctuation (reduction amount) in the target power amount is larger than a predetermined threshold, the store manager (store manager) is notified by e-mail or the like. Also good. The person in charge (store manager) who has received the e-mail takes measures to save power in the store by switching the air-conditioning equipment to the air blowing mode.

The storage unit 14 is, for example,
·store information,
・ Store power information, POS information,
-Contract power (for example, contract power for collective power reception),
・ The upper limit of the total power consumption of all stores,
・ The upper limit of power consumption in stores,
・ Store target power (unit target power),
Etc. are stored and retained.

In the storage unit 14, store information (store size, sales information) may be obtained by acquiring a part of the information from the headquarter 40 that is a client of the cloud service. The store power information stored in the storage unit 14 is obtained by the communication unit 16 receiving information transmitted from a communication device such as a store. The POS information may be acquired in real time via a communication device such as a store. Alternatively, instead of the form in which the POS information is directly transmitted from the store, the EMS cloud server 10 acquires the POS information transmitted from each store to the headquarter 40 via the headquarter 40 and stores it in the storage unit 14. Also good.

The control unit 17 controls operations of the information acquisition unit 11, the upper limit value setting unit 12, the information notification unit 13, the integrated power prediction unit 18, the target value setting unit 19, and the like. In FIG. 7, the information acquisition unit 11, the upper limit value setting unit 12, the information notification unit 13, the storage management unit 15, the communication unit 16, the control unit 17, the integrated power prediction unit 18, and a part of the target value setting unit 19 are EMS. The functions may be realized by a program executed on a processor (CPU (Central Processing Unit)) (not shown) constituting the cloud server 10. In this case, the program may be stored in the storage unit 14, and the processor may read and execute the program in a main memory (not shown).

FIG. 8 is a diagram for explaining demand control by the demand control device 204 shown in FIG. In FIG. 8, the unit target power amount is an increase Δ of the target power amount per unit time (for example, 1 minute) set in the EMS cloud server 10. The demand control device 204 shown in FIG. 4A includes a table that defines power control of each facility (device) in the store for a target power amount as shown in FIG. Power control according to the target power amount set by the cloud server 10 is performed. When the unit time is 1 minute and the upper limit of the accumulated power amount for 30 minutes (601 in FIG. 6) is 30 kWh (power amount per hour: 60 kWh), the target power amount per unit time (1 minute) The theoretical value (default value) of (unit target electric energy) is 60 kWh × (1/60) = 1 kWh in the first-order approximation.

In the example of FIG. 8, when the unit target power amount, which is an increase Δ of the target power amount per unit time (1 minute), is 0.7 kWh, the air conditioners (air conditioners) 1 and 2 are both set in the air blowing mode. Cut power. For example, since the air conditioner 1 consumes less power than the air conditioner 2 and the air-conditioning target area is limited to locations where customers gather, such as a cash register in a store, the air conditioner 1 is “strong” and the air conditioner 2 is “ It is set to “Weak”. The operations of the refrigeration equipment 1 such as ice cream and the refrigeration equipment 2 for other frozen foods are also set to “weak” or the like. When the unit target power amount is 1.0 kWh, the air conditioner 1 is set to cooling (strong), the air conditioner 2 is set to cooling (medium), and the other devices are set to “strong”.

In the EMS cloud server 10, the information acquisition unit 11 in FIG. 7 may acquire power information of a store (for example, 20A-20N in FIG. 1, 200A, 200B in FIG. 2), and perform device analysis or the like. . The information acquisition unit 11 in FIG. 7 analyzes the power consumption and the operating state of each device in the store, and the target value setting unit 19 sets the target power amount so that the integrated power amount is within the upper limit value for 30 minutes. Further, in the information notification unit 13, based on the analysis result of the operation state of the device by the information acquisition unit 11, in order to keep the power consumption of the store within the target power consumption, as shown in FIG. You may make it notify a store of the setting of an operating state of, or control an apparatus via a demand controller. Or you may make it the information acquisition part 11 analyze the operating state of an apparatus based on the electric power information for every apparatus acquired with the smart tap etc. which the apparatus of a store connects instead of performing an apparatus analysis etc. Based on the analysis result, the information acquisition unit 11 notifies the store of the operating state setting for each device, as shown in FIG. 8, so that the power consumption of the store is within the target power amount. Alternatively, the device may be controlled via a demand controller. When the current operating state of the air conditioner in the store is “cooling” or “strong operation”, the information notifying unit 13 sets “blower”, “ The switching to “weak driving” may be notified to the store (notification of setting of the operating state), or the demand controller may be instructed to control the device.

FIG. 9A is a diagram illustrating an example of store information stored in the storage unit 14 of FIG. The store information includes identification information (ID), store name (name), address, location, sales floor area, sales, number of visitors, device information, and the like. Although not particularly limited, in FIG. 9A, the device information is represented as a pointer to the data in FIG. 9B.

Although not particularly limited, as shown in FIG. 9B, the device information includes columns of device ID, classification, name (device name), product number, installation location (location), nominal power, power consumption, and the like.

FIG. 9C is a diagram illustrating an example of notification notified by the information notification unit 13 of FIG. Although not particularly limited, it includes the store ID, name (store name), time, actually measured power amount, target power amount, 30-minute predicted integrated power information, and the upper limit value of the 30-minute integrated power amount set for the store.

In FIG. 9C, for 30 minutes from time 12:00 to 12:30, for example, the power consumption (actually accumulated power amount) of the store (name: A store) at time 12:20 is 17.5 kWh, Assume that the power consumption per unit time (1 minute) immediately before is 0.75 kWh as shown in parentheses. In this case, assuming that power consumption per unit time (for example, 1 minute): 0.75 kWh is maintained for the remaining 10 minutes until time 12:30, the predicted integrated power for 30 minutes of the store (name: A store) is 25 kWh. Become. If the target power per unit time for the remaining 10 minutes from time 12:20 is 1 kWh, the predicted integrated power for 30 minutes is 27.5 kWh as shown in parentheses, and does not reach the upper limit of 30 kWh. Therefore, the target power amount of the store (name: A store) at time 12:20 may be 18.5 kWh by using the default value 1 kWh of the unit increase (unit target power amount). Alternatively, the power consumption of 0.75 kWh per unit time (for example, 1 minute) immediately before may be set as a unit increase (unit target power amount) at time 12:20.

On the other hand, the power consumption (measured integrated power consumption) of the store (name: B store) at time 12:20 is 21 kWh, and the power consumption per unit time (for example, 1 minute) immediately before is 1.25 kWh. To do. In this case, assuming that the power consumption amount per unit time (for example, 1 minute): 1.25 kWh is maintained for the remaining 10 minutes, the predicted integrated power consumption for 30 minutes is 33.5 kWh. This value greatly exceeds the upper limit 30 kWh of the accumulated power consumption for 30 minutes at the store (name: B store).

Therefore, the increase in the target power amount of the store (name: B store) at time 12:20 may be reduced from the default value of 1 kWh to 0.75 kWh, and the target power amount may be set to 21.75 kW. . When the power is controlled so that the power increase per unit time (for example, 1 minute) is 0.75 kWh or less at the store (name: B store) between 12:20 and 12:30 The integrated power amount is 28.5 kWh, which is less than the upper limit of 30 kWh.

Next, the operation of this embodiment will be described. FIG. 10A is a flowchart illustrating an example of the operation of the EMS cloud server 10 described with reference to FIG.

The information acquisition unit 11 of the EMS cloud server 10 acquires the POS information of the store (S1).

The upper limit value setting unit 12 of the EMS cloud server 10 sets the upper limit value of the electric energy of each store (S2).

The information notification unit 13 of the EMS cloud server 10 notifies the store of the upper limit value (S3).

FIG. 10B is a flowchart illustrating an example of the operation of the EMS cloud server 10 described with reference to FIG. In the EMS cloud server 10 of FIG. 7, the setting of the upper limit value of the store energy is performed according to steps S1 to S3 of FIG. Subsequently, the EMS cloud server 10 performs control so as not to exceed the upper limit value of the power consumption set for the store based on the POS information and the power information acquired in real time from the store.

For example, the information acquisition unit 11 of the EMS cloud server 10 acquires power information from the store communication device in real time (S11). At that time, the information acquisition unit 11 acquires the POS information of the store 20. Current waveform data of a store may be acquired, and separated into current waveforms of each electrical device by, for example, device separation technology to acquire the operating state of the electrical device. When a store is equipped with a demand controller and monitors the operating state of electrical equipment and acquires power consumption in real time and transmits it to the EMS cloud server 10, the information acquisition unit 11 of the EMS cloud server 10 receives power information from the demand controller. You may make it acquire.

The information acquisition unit 11 of the EMS cloud server 10 acquires store information of the store 20 (S12).
The integrated power prediction unit 18 of the EMS cloud server 10 calculates the predicted integrated power for 30 minutes (S13).

The target value setting unit 19 of the EMS cloud server 10 sets the current target power (S14).

The information notification unit 13 of the EMS cloud server 10 notifies the store of the current target power amount (S15). In this case, as described with reference to FIG. 8, the information notification unit 13 sets the store for each device of the store (air conditioners, cooling devices, refrigeration devices, etc. that affect the power consumption of the store). In order to keep the amount of power used per unit time (for example, 1 minute) of a store within the target power amount, the operation state of the device should be set (for example, air conditioning) Whether the device is to be cooled or blown may be notified. Or you may make it the information notification part 13 set the power control of each apparatus with respect to the demand controller etc. of a shop.

In the above-described embodiment, the facility management apparatus is mounted on the EMS cloud server 10 that is connected to the Internet or the like and provides a cloud service. Any node that can acquire a waveform or the like may be mounted on any network node.

The disclosures of Patent Documents 1-5 and Non-Patent Documents 1-3 above are incorporated herein by reference. Within the scope of the entire disclosure (including claims) of the present invention, the embodiments and examples can be changed and adjusted based on the basic technical concept. Various disclosed elements (including elements in each supplementary note, elements in each embodiment, elements in each drawing, and the like) can be combined and selected within the scope of the claims of the present invention. That is, the present invention of course includes various variations and modifications that could be made by those skilled in the art according to the entire disclosure including the claims and the technical idea.

Although not particularly limited, the embodiment described above is appended as follows.

(Appendix 1)
First means for acquiring at least POS (Point-Of-Sale) information of each of the plurality of stores;
A second means for allocating an upper limit value of the power consumption amount of each store within an upper limit value of the power consumption amount of the entire plurality of stores based on at least the POS information of each store;
A power management apparatus comprising:
(Appendix 2)
The first means acquires power information of the store,
The system further comprises a third means for notifying a power saving amount for achieving the upper limit value of the store set by the second means based on the power information of the store and the POS information. 1. The power management apparatus according to 1.
(Appendix 3)
The first means acquires store information including at least one of store size and sales of each store,
The

supplementary note

1 or 2, wherein the second means sets an upper limit value of power consumption of each store in consideration of at least one of store size and sales of each store. Power management device.
(Appendix 4)
The first means further obtains at least one of weather information, event information, and area information,
The second means sets an upper limit value of power consumption of each store in consideration of a prediction result of the number of visitors to the store based on at least one of the weather information, the event information, and the regional information. The power management apparatus according to any one of appendices 1 to 3, wherein
(Appendix 5)
Any one of Supplementary notes 1 to 4, wherein the second means sets an upper limit value of power consumption of the store based on history information in addition to POS information acquired in real time from the store. The power management apparatus according to one.
(Appendix 6)
The power management apparatus according to any one of appendices 1 to 5, further comprising a fourth means for selecting the store subject to power restriction based on weather information.
(Appendix 7)
The power management apparatus according to any one of appendices 1 to 6, wherein the second means updates the setting of the upper limit value for each store every predetermined period.
(Appendix 8)
When the second means determines from the power information acquired by the first means from each store that the power consumption of one store is less than the upper limit of the one store, the one store The surplus power amount is assigned to an upper limit value of another store (another store having a relatively large amount of power consumption).
(Appendix 9)
A fifth means for controlling a target value of the power consumption of the store per unit time based on the POS information and the power information acquired from the store so that the power consumption of the store for a predetermined period is less than or equal to an upper limit value; The power management apparatus according to any one of appendices 1 to 7, further comprising:
(Appendix 10)
Obtain power information and operating status for each device in the store, and control the device or set the operating status of the device so that the power consumption of the store for a predetermined period is equal to or less than the upper limit value. The power management apparatus according to any one of appendices 1 to 9, further comprising means for notifying a store.
(Appendix 11)
According to any one of appendices 1 to 10, further comprising means for reducing (relaxing) power saving in the store when sales or the number of customers is increasing from the POS information of the store. The power management apparatus described.
(Appendix 12)
A server device that communicates with a communication device of a plurality of stores via a network,
A server apparatus comprising the power management apparatus according to any one of appendices 1 to 11.
(Appendix 13)
The power management apparatus according to any one of appendices 1 to 11, and
A controller that communicates with the power management device and controls the power of the equipment in the store;
A power management system further comprising:
(Appendix 14)
A power management method by a power management device,
Acquire at least POS (Point-Of-Sale) information for each of a plurality of stores,
A power management method, comprising: allocating an upper limit value of power consumption of each store within an upper limit value of power consumption of the plurality of stores based on at least the POS information of each store.
(Appendix 15)
15. The power according to claim 14, wherein the power information of the store is acquired, and the power saving amount for achieving the upper limit value is notified to the store based on the power information of the store and the POS information. Management method.
(Appendix 16)
Further acquiring store information including at least one of store size and sales of each store,
The power management method according to appendix 14 or 15, wherein an upper limit value of power consumption of each store is set in consideration of at least one of store size and sales of each store.
(Appendix 17)
Get at least one of weather information, event information, and local information,
The supplementary note 14 is characterized in that an upper limit value of the power consumption of the store is set in consideration of a prediction result of the number of visitors to the store based on at least one of the weather information, the event information, and the regional information. The power management method according to any one of 1 to 16.
(Appendix 18)
The power management method according to any one of appendices 14 to 17, wherein an upper limit value of the power consumption of the store is set based on history information in addition to the POS information acquired in real time from the store. .
(Appendix 19)
The power management method according to any one of appendices 14 to 18, wherein the store subject to power restriction is selected based on weather information.
(Appendix 20)
20. The power management method according to any one of appendices 14 to 19, wherein the setting of the upper limit value for each store is updated every predetermined period.
(Appendix 21)
When it is determined from the power information acquired from each store that the power consumption of one store is lower than the upper limit value of the one store, the surplus power amount of the one store is compared with other stores (relative to the power consumption amount). The power management method according to any one of appendices 14 to 20, wherein the power management method is assigned to an upper limit value of a large number of other stores).
(Appendix 22)
The target value of the power consumption of the store per unit time is controlled based on the POS information and the power information acquired from the store so that the power consumption of the store for a predetermined period is equal to or less than the upper limit value. The power management method according to any one of appendices 14 to 21.
(Appendix 23)
Obtain power information and operating status for each device in the store, and control the device or set the operating status of the device so that the power consumption of the store for a predetermined period is equal to or less than the upper limit value. The power management method according to any one of appendices 14 to 22, wherein the store is notified.
(Appendix 24)
24. The power management method according to any one of appendices 14 to 23, wherein when the sales or the number of customers is increasing from the POS information of the store, the power saving amount in the store is reduced (mitigated). .
(Appendix 25)
To computers that are connected to each other via communication devices at multiple stores,
A first process of acquiring at least POS (Point-Of-Sale) information of each store;
A second process of assigning an upper limit value of the power consumption amount of each store within an upper limit value of the power consumption amount of the entire plurality of stores, based on at least the POS information of each store;
A program that executes
(Appendix 26)
Based on the power information of the store and the POS information acquired in the first process, the power saving amount for achieving the upper limit set in the second process is calculated for the store. The program according to appendix 25, further causing the computer to execute a third process to be notified.
(Appendix 27)
The first process further acquires store information including at least one of the store size and sales of each store,
27. The program according to claim 25 or 26, wherein the second process assigns an upper limit value of power consumption of each store, further considering at least one of the store size and sales of the store.
(Appendix 28)
The first process further acquires at least one of weather information, event information, and area information;
The second process sets a target upper limit value of the power consumption of the store in consideration of a prediction result of the number of visitors to the store based on at least one of the weather information, the event information, and the regional information. The program according to any one of appendices 25 to 27, characterized in that:
(Appendix 29)
The second process is characterized in that, in addition to the POS information acquired in real time from the store, a target upper limit value of power consumption of the store is set based on the history information. The program as described in any one.
(Appendix 30)
The program according to any one of supplementary notes 25 to 29, further causing the computer to execute a fourth process of selecting the store subject to power restriction based on weather information.
(Appendix 31)
The program according to any one of supplementary notes 25 to 30, further causing the computer to execute a fifth process of updating the setting of the upper limit value for each store at a predetermined period.
(Appendix 32)
In the second process, when it is determined from the power information acquired by the first process from each store that the power consumption of one store is lower than the upper limit value of the one store, the one store 29. The program according to any one of appendices 25 to 28, wherein the surplus power is assigned to an upper limit value of another store (another store having a relatively large amount of power consumption).
(Appendix 33)
Seventh processing for controlling a target value of power consumption of the store for a unit time based on POS information and power information acquired from the store so that the power consumption of the store for a predetermined period is equal to or less than an upper limit value. Furthermore, the program according to any one of appendices 25 to 32, which is executed by the computer.
(Appendix 34)
Obtain power information and operating status for each device in the store, and control the device or set the operating status of the device so that the power consumption of the store for a predetermined period is equal to or less than the upper limit value. The program according to any one of appendices 25 to 33, further causing the computer to execute a process of notifying the store.
(Appendix 35)
When the sales or the number of customers is increasing from the POS information of the store, the processing further for reducing (relaxing) the power saving amount in the store is further executed by the computer. program.

10 servers (EMS cloud server)
DESCRIPTION OF SYMBOLS 11 Information acquisition part 12 Upper limit setting part 13 Information notification part 14 Storage part 15 Storage management part 16 Communication part 17 Control part 18 Integrated power prediction part 19 Target

value setting part

20, 20A-

20N Store

21, 21A-21N Communication apparatus 22 Distribution board 23 Current sensors 24A to 24C Equipment 25 POS terminal 30

Electric power supplier

31, 31A-31N Meter (smart meter)
40 headquarters (management center)
60 Internet 100 Power management device (server)
101 Information acquisition unit 102 Upper

limit setting unit

200A,

200B Tenant

201A, 201B Meter (smart meter)
202 Power distribution board 203A Air conditioning equipment outdoor unit 203B Air conditioning equipment indoor unit 203C Refrigeration / refrigeration equipment 203D Certification equipment 203E Other electrical equipment 204 Demand control equipment 205 Communication device 206 POS terminal 210 Building 211 High voltage power receiving equipment 212 Private power generation equipment 213 Controller 601 Upper limit Value 602 Start time 603 Transition of actual power consumption 604 Transition of target power energy 605 Actual power consumption 606 Target power energy 607 Previous target power energy 608 Power prediction (straight line)
609 30-minute predicted integrated power consumption 610 30-minute integrated power consumption (actual value)

Claims

An information acquisition unit for acquiring at least POS (Point-Of-Sale) information of each of the plurality of stores;
Based on at least the POS information of each store, an upper limit setting unit that allocates an upper limit value of the power consumption amount of each store within a preset upper limit value of the power consumption amount of the plurality of stores,
A power management apparatus comprising:
The information acquisition unit acquires power information of the store,
The information notification part which notifies the power saving amount for achieving the upper limit of the store set in the upper limit setting part based on the power information of the store and the POS information is provided. 1. The power management apparatus according to 1.
The information acquisition unit acquires store information including at least one of the store scale and sales of each store,
The upper limit value setting unit sets an upper limit value of power consumption of each store, further considering at least one of the store size and sales of each store. Power management device.
The information acquisition unit further acquires at least one of weather information, event information, and regional information,
The upper limit setting unit sets an upper limit value of power consumption of each store in consideration of a prediction result of the number of visitors to the store based on at least one of the weather information, the event information, and the regional information. The power management device according to claim 1, wherein the power management device is a power management device.
The said upper limit setting part sets the upper limit of the power consumption of the said store based on the historical information besides the POS information acquired in real time from the said store, The any one of Claim 1 thru | or 4 characterized by the above-mentioned. The power management apparatus according to claim 1.
The power management apparatus according to any one of claims 1 to 5, wherein the upper limit setting unit selects the store subject to power restriction based on weather information.
The power management device according to any one of claims 1 to 6, wherein the upper limit value setting unit updates the setting of the upper limit value for each store for each predetermined period.
The upper limit setting unit, when it is determined from the power information acquired by the information acquisition unit from each store that the power consumption of one store is lower than the upper limit value of the one store, The power management apparatus according to claim 1, wherein the surplus power amount is assigned to an upper limit value of another store.
The apparatus further includes a control unit that controls a target value of power consumption of the store for a unit time based on POS information and power information acquired from the store so that the power consumption of the store for a predetermined period is equal to or less than an upper limit value. The power management apparatus according to claim 1, wherein the power management apparatus is a power management apparatus.
Obtain power information and operating status for each device in the store, and control the device or set the operating status of the device so that the power consumption of the store for a predetermined period is equal to or less than the upper limit value. The power management apparatus according to claim 1, further comprising an information notification unit that notifies a store.
The said upper limit setting part reduces the power-saving amount in the said store, when sales or the number of customers is increasing from the said POS information of the said store, The one of Claims 1 thru | or 10 characterized by the above-mentioned. The power management device described in 1.
A server device that communicates with a communication device of a plurality of stores via a network,
A server apparatus comprising the power management apparatus according to claim 1.
The power management apparatus according to any one of claims 1 to 11,
A controller that communicates with the power management device and controls the power of the equipment in the store;
A power management system further comprising:
A power management method by a power management device,
Get at least POS (Point-Of-Sale) information for each of multiple stores,
A power management method, comprising: allocating an upper limit value of power consumption of each store within an upper limit value of power consumption of the plurality of stores based on at least the POS information of each store.
To computers that are connected to each other via communication devices at multiple stores,
A first process of acquiring at least POS (Point-Of-Sale) information of each store;
A second process of assigning an upper limit value of the power consumption amount of each store within an upper limit value of the power consumption amount of the entire plurality of stores, based on at least the POS information of each store;
A program that executes