JP2013106374A - Demand power control device and demand power control method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a demand power control device and demand power control method for controlling a demand power amount at low cost and at high speed while being easily applicable to even a smart grid and a building constructed already.SOLUTION: A demand power control device, which is a device for controlling the whole demand power amount being sum of demand power amounts supplied to loads installed in respective buildings, includes: a measurement part for measuring a power amount supplied to a load of each of all buildings for a predetermined period, and outputting a measurement result as an actual value; an estimation value calculation part for calculating an estimation value of the whole demand power amount in a control period from the actual values, for each control period; an estimation difference calculation part for comparing the estimation value with a predetermined upper limit value of the whole demand power amount, and calculating estimation difference being difference between the upper limit value and the estimation value when the estimation value exceeds the upper limit value; and a power control part for controlling the whole demand power amount by controlling the demand power amount of each load in the buildings in order for each building in units of control periods, depending on the estimation difference.

Description

  The present invention relates to a technique for controlling demand power that is maximum among the actual values of demand power measured every predetermined measurement period.

A power supplier who supplies power to a facility equipped with equipment that operates by the supplied power needs to prepare a supply facility according to the amount of power used most frequently in the facility of the customer to be supplied. . Therefore, in order to make the burden of expenses for the facilities of a plurality of consumers fair, the demand power (demand) of the facilities, etc. for each predetermined measurement period (demand time period) is measured, and the plurality of measured demand powers Contract power may be determined according to the largest demand power (maximum demand power).
For example, the actual value of average demand power in 30-minute units at the facility to be supplied is measured, and the maximum value among the actual values of average demand power for one month is set as the maximum demand power for the month, and the maximum demand for the month A value that does not exceed the larger value of the power and the maximum demand power of the previous 11 months is determined as the contract power.

In this case, the maximum demand power increases as the number of equipment used at the same time increases. Therefore, the maximum demand power can be reduced by shifting the use time zone of the equipment. Therefore, demand control devices aimed at reducing such maximum demand power are provided (for example, Patent Documents 1 and 2).
For example, as shown in FIG. 8, the demand control device starts measuring the actual value of the demand power from the start of the demand time period (control cycle in the present embodiment to be described later) (for example, at time T1), and acquires the actual value. At the time point (for example, time point T1 + m0), an estimated value of average demand power until the end of the demand period (for example, time point T2) is calculated based on the acquired demand power. Then, when the estimated value of average demand power exceeds a predetermined demand target value, the demand control device performs power control processing such as outputting a warning sound by a buzzer. The consumer can suppress the average demand power within the demand time to within the target value by listening to such a warning sound and stopping the equipment that uses the power.

In recent years, smart grids that combine in-house power generators that use natural energy (solar power) such as solar power generation, distributed power sources that use storage batteries, and power systems that purchase power from power companies have attracted attention. ing.
However, in the smart grid, when the sunlight, which is natural energy, fluctuates due to weather such as cloudy or rainy, the power supply from the power system from the power company increases.

For this reason, in the smart grid, when the power supply from the power system is expected to increase, or when the power supply from the power system actually increases, the power that the consumer adjusts the demand from the higher system of the consumer Adjustment information is provided.
Then, a demand response function is provided in which an hourly charge and a demand reduction request are transmitted from the customer as a power adjustment information from an upper system of the customer, for example, an electric power company, and the customer adjusts the demand.

JP-A-62-18926 JP 11-215700 A

However, the demand control devices described in Patent Document 1 and Patent Document 2 described above perform processing for suppressing the average demand power within the demand time within the target value.
For this reason, the demand control apparatus described in Patent Literature 1 and Patent Literature 2 deteriorates the indoor environment in order to simply stop the equipment when performing demand control.

In addition, since distributed power sources and storage batteries such as solar power generation and storage batteries used by customers for smart grids are expensive, they are not equipped in ordinary buildings.
Furthermore, as a core of the smart grid control system, a prediction function for predicting the generated power generated by natural energy and the power received from the power system according to the generated power is required.

However, in order to realize this prediction function, a huge amount of data is required for prediction, such as weather forecast data and actual data for each season of photovoltaic power generation in past weather. Since complicated operations are performed, it takes time to obtain a result, and it is difficult to perform real-time power control.
In addition, when constructing a building equipped with a smart grid to realize this complex calculation, in addition to the initial cost at the beginning of construction, advanced engineering ability for tuning to measure performance data acquisition etc. at the start of operation , Manual and costly.

  The present invention has been made in view of such circumstances, and can be easily applied to smart grids and buildings that have already been constructed, and can control the amount of power demand at low cost and at high speed. An object is to provide a power demand control apparatus and a power demand control method.

  This invention was made in order to solve the above-mentioned problem, and the demand power control apparatus of the present invention calculates the total demand power amount, which is the sum of the demand power amounts supplied to the loads provided in each of the plurality of buildings. It is a demand power control device to control, measures the amount of power supplied to the loads of all the buildings for a predetermined time, and outputs a measurement result as a result value, and for each control cycle, from the result value A predicted value calculation unit that calculates a predicted value of the total demand power amount in the control cycle, the predicted value is compared with a preset upper limit value of the total demand power amount, and the predicted value is the upper limit A prediction difference calculation unit that calculates a prediction difference that is a difference between the upper limit value and the prediction value when the value exceeds the value, and a demand power amount for each load of the building according to the prediction difference. Control in order for each building in units, Characterized in that it comprises a power control unit for controlling the main power amount.

  In the demand power control apparatus of the present invention, the predicted value calculation unit reads the actual value from the measurement unit after the first period in the control cycle, and calculates the predicted value in the control cycle from the actual value. The power control unit calculates and controls the demand power amount of the load in the building corresponding to the control cycle according to the prediction difference after the second period in the control cycle elapses. To do.

  The demand power control apparatus of the present invention is provided with a plurality of types for each control method of different demand power amounts of the load of the building, and a capacity indicating the load to be controlled for the demand power amount for each control cycle. A capacity control pattern storage unit storing a control pattern; and the power control unit is configured to control the capacity control corresponding to the prediction difference from the plurality of capacity control patterns stored in the capacity control pattern storage unit. A pattern is selected, and the demand power amount of the load for each building is controlled by the selected capacity control pattern.

  The demand power control apparatus of the present invention stores, for each load, a correspondence table in which a control unit of the power capacity of the load is associated with the power capacity of the demand power amount of the electronic device in the current operating state. A correspondence table storage unit, wherein the power control unit reduces a reduced power amount for each capacity control pattern, a current demand power amount of the load, a predetermined reduction rate, and the The control unit calculates the capacity control pattern in which the calculated reduced electric energy exceeds the predicted capacity and becomes the minimum value, and controls each load of the building by the selected capacity control pattern. It is characterized by that.

  The power demand control apparatus according to the present invention provides the second power control unit for each building so as to be a control period in which the amount of reduction in the control period of each load of the building is averaged in the operating state according to the capacity control pattern. A period is set.

  The demand power control apparatus according to the present invention is characterized in that the buildings are grouped by a combination that averages the amount of reduction in the control cycle, and the operating state of the buildings is controlled by the capacity control pattern in units of groups.

  The demand power control method of the present invention is a demand power control method for controlling a demand power control device that controls the total demand power amount that is the total amount of demand power supplied to loads provided in each of a plurality of buildings, The measurement unit measures the amount of power supplied to the loads of all the buildings for a predetermined time and outputs the measurement result as an actual value, and the predicted value calculation unit performs the actual value for each control cycle. A predicted value calculation process for calculating a predicted value of the total demand power amount in the control cycle, and a prediction difference calculation unit is set in advance for the predicted value calculated by the predicted value calculation unit and the total demand power. A prediction difference calculating step of calculating a prediction difference that is a difference between the upper limit value and the predicted value when the predicted value exceeds the upper limit value, and a power control unit includes: Depending on the difference, for each load of the building The demand power amount, control sequentially for each of the buildings by the control cycle unit, characterized in that it comprises a power control process of adjusting the total demand power amount.

According to this invention, in order to suppress the total demand electric energy which a power control part makes the monitoring object less than the preset upper limit by controlling the operating state of the load provided in the said building for every building It can be realized only by controlling the operating state of the load, and can be easily applied to an already constructed building.
In addition, according to the present invention, since it is not necessary to provide new expensive equipment, it can be realized at low cost, and the control can be performed only by simple calculation for obtaining a prediction difference that is a difference between the predicted value and the upper limit value. Since the operation control of the load is performed for each cycle, it is possible to control the power capacity of all demand power under management in real time.
Further, according to the present invention, there is no need to make predictions using weather forecast data or actual data for each season of generated power in solar power generation in the past weather, and when building a building equipped with a smart grid In addition, since there is no need to perform tuning such as acquisition of actual data at the start of operation, the cost for constructing a control function for demand power can be reduced without requiring advanced engineering capabilities and manpower. It can be reduced in comparison.

It is a block diagram which shows the structural example of the demand power control apparatus by one Embodiment of this invention. It is a conceptual diagram explaining control of the amount of demand electric power from the power source 200 using the demand power control apparatus 1 by this embodiment. It is a figure explaining the control cycle which controls the operation state of the load of each building in this embodiment. It is a conceptual diagram which shows the structure of the capacity | capacitance control pattern for performing operation control of the installation equipment of each building memorize | stored in the capacity | capacitance control database. The structure of the reduction rate correspondence table that shows the correspondence between the pattern number of the capacity control pattern and the reduction rate of each equipment device when performing step reduction in demand processing using the capacity control pattern indicated by this pattern number for each building. FIG. It is a figure which shows the structure of the operation state corresponding | compatible table which shows a response | compatibility with the equipment unit identification number, the control unit of the electric energy at the time of step-down of the equipment, and the initial operation state before performing the demand processing of the equipment. . It is a flowchart which shows the operation example of control of the demand electric energy by the demand power control apparatus of one Embodiment. It is a figure explaining the control cycle which controls the operating state of the load of each building in a conventional example.

<First Embodiment>
Embodiments of the present invention will be described below with reference to the drawings. FIG. 1 is a schematic block diagram showing a configuration example of a demand power control apparatus according to the first embodiment of the present invention.
1 includes a measurement unit 11, a power control unit 12, a predicted value calculation unit 13, a prediction difference calculation unit 14, a target value storage unit 15, a capacity control pattern storage unit 16, a correspondence table storage unit 17, A timer unit 18 and a control cycle counter 19 are provided.
In the target value storage unit 15, an upper limit value as the maximum usable total demand power amount is written in advance in the actual value of the total demand power amount measured every predetermined control period (demand control cycle). Is remembered. This upper limit value is a value that is arbitrarily written by the commercial power supplier or the person in charge at each facility.

The measuring unit 11 is supplied from the power source 300 (for example, a commercial power source or a smart grid unit) to the facility devices 100_1 to 100_n (n is a natural number) that is a load provided in each building by the power sensor 11a. A unit power amount per unit time of the total demand power amount (for example, a unit power amount obtained by obtaining the power amount for 3 minutes from a detection value every 3 minutes) is measured.
Here, the facility devices 100_1 to 100_n are, for example, refrigerators that generate cold water used for air conditioning inside a building.

Next, FIG. 2 is a conceptual diagram illustrating the control of the total demand power amount from the power source 300 using the demand power control apparatus 1 according to the present embodiment.
The power demand control apparatus 1 is an example of equipment (100_1, 100_2, 100_3,..., 100_n) provided in each of a plurality of buildings (buildings 200_1, 200_2, 200_3,..., 200_n) in a facility such as a university or a factory. Control the operating state.
By controlling the operating state of each facility device, the demand power control apparatus 1 suppresses the total demand power amount supplied from the power source 300 to the facility described above to the target power capacity.

For example, the facility device is a refrigerator, and the facility device 100_1 is composed of five small refrigerator units, and the operation state is controlled by stopping and starting the refrigerator units one by one.
As the operating state, for example, control of 6 stages of 0, where all the refrigerator units are stopped, 1, 2, 3, 4, 5 (all operating), That is, 20% of the operation of all the refrigerator units is a control unit in the operating state.
Similarly, the facility devices 100_1 and 100_n are configured by five small refrigerator units, and the operation state is controlled by stopping and starting the refrigerator units one by one.
The operating state includes, for example, six-step control of 0 units in which all the refrigerator units are stopped, 1, 2, 3, 4, 5 units (all operating). Become.
In addition, the facility device 100_3 is constituted by a single large refrigerator unit, and the capacity of the operating state is controlled by controlling the cooling amount.
As the operating state, for example, 5% control of 0% (stop state), 25%, 50%, 75%, and 100%, that is, 25% is in the operating state with respect to the starting state of 100% of the refrigerator unit. It becomes a control unit.

Next, FIG. 3 is a diagram illustrating a control cycle for controlling the operating state of the load of each building in the present embodiment.
In FIG. 3, the time width of the control cycle is the time X between each of the times T1, T2, T3,..., For example, when obtaining the total demand power amount used when monitoring the contract power. The measurement power to be measured is set as 30 minutes for averaging.
Also, the time m0 in FIG. 3 is a dead time that is a fixed time during which the unit power amount (actual value) for obtaining the total demand power amount cannot be output, and the accurate unit power amount is measured within this time. Cannot be output.

Returning to FIG. 1, the timer unit 18 counts the time for setting the control cycle and the like, and is used to detect the passage of time such as the time X, the time m0, and the time Y.
For example, the timer unit 18 includes three timers: an X timer that counts up when the time X is counted, an m0 timer that counts up when the time m0 is counted, and a Y timer that counts up when the time Y is counted. Yes.
The timer unit 18 starts the counting operation at the same timing as the X timer, the m0 timer, and the Y timer. And the timer part 18 detects the time which shows control periods, such as time T1, T2, T3, whenever the time X passes and X timer counts up. Therefore, the timer unit 18 outputs a cycle control signal indicating a control cycle when the time X elapses and the X timer counts up, and outputs a measurement control signal when the time m0 elapses and the m0 timer counts up. When the Y timer after Y has elapsed, a process control signal is output. As the length of time, there is a relationship of X>Y> m0.

The control cycle counter 19 is a counter that counts the order of control cycles in a control cycle (described later). For example, when the control cycle is composed of three control cycles of control cycles F1, F2 and F3, the order of demand processing is F1 → F2 → F3 → F1 →.
Since the equipment of the building (building) that is subject to demand processing is set for each control cycle, the control cycle counter 19 detects the current control cycle.
For example, when the count value of the control cycle counter 19 is 1, the control cycle F1 is currently demand-processed, and when the count value is 2, the control cycle F2 is currently demand-processed and the count value is If it is 3, the control cycle F3 is currently being demand-processed.
The control cycle counter 19 is a count value that counts up the number of control cycles constituting the control cycle. When the control cycle is 3, the count starts from 1, starts counting up to 3, When incremented, the count value returns to 1.

The predicted value calculation unit 13 estimates the total demand power amount in the control cycle from the unit power amount output by the measurement unit 11.
In addition, the predicted value calculation unit 13 reads a unit power amount that is an actual value read from the measurement unit 11 after reaching the time T1 + m0 at the start time of each control cycle, for example, the control cycle starting from the time T1, The total power demand amount in one control cycle (time X) is estimated from the unit power amount, and the estimation result is output as an estimated value. The same processing is performed at each of the times T2 + m0, T3 + m0,. Moreover, after this estimation result is obtained, at time T1 + Y, demand processing for controlling the operating state of the equipment in each building by the power control unit 12 is performed.

Here, the predicted value calculation unit 13 multiplies the unit power amount read at time T1 + m0 by a numerical value (control cycle / unit time) obtained by dividing the control cycle by unit time to obtain a predicted value.
Further, the predicted value calculation unit 13 obtains an average value of the plurality of unit power amounts read from the measurement unit 11 including the unit power amount read at time T1 + m0, and sets the control cycle to the unit time for the average value. The predicted value may be obtained by multiplying the numerical value divided by.

In the target value storage unit 15, for example, an upper limit value indicating the power amount of the total demand power amount that can be used in the control cycle in the contract power is written and stored in advance.
The prediction difference calculation unit 14 reads the upper limit value from the target value storage unit 15, and compares the read upper limit value with the prediction value calculated by the prediction value calculation unit 13.
Further, when the predicted value is equal to or higher than the upper limit value, the prediction difference calculation unit 14 subtracts the upper limit value from the predicted value, and outputs the subtraction result to the power control unit 12 as a prediction difference.
On the other hand, when the predicted value is less than the upper limit value, the prediction difference calculation unit 14 does not calculate the prediction difference and outputs a control signal indicating normality to the power control unit 12.

Next, FIG. 4 is a conceptual diagram showing a configuration of a capacity control pattern for performing operation control of facility equipment of each building stored in the capacity control pattern storage unit 16.
As the capacity control pattern shown in FIG. 4, the capacity control pattern storage unit 16 has a capacity control pattern that indicates which building equipment is to be demand-processed for each control cycle and is in the operating state stage in the demand processing. It is written in advance for each operation control in which there are multiple stages of equipment in a building unit.
Here, the control cycle is set by the number of buildings to be controlled for each control cycle. In FIG. 4, for example, when there are three buildings to be demand-controlled (in the case of three buildings 200_1, 200_2, and 200_3 being controlled by the demand power control apparatus 1 in FIG. 2), the control cycle is composed of three cycles. Is done. When the control period X is 30 minutes, the control cycle is 90 minutes.

For example, in FIG. 4, the capacity control pattern storage unit 16 stores six capacity control patterns from capacity control patterns PAT1 to PAT6.
The capacity control pattern PAT1 is a facility process of the building 200_1 as a demand process during the time XY from the time T1 + Y to the time T2, that is, from the time T1 + Y until the next control period F2 is started, at the time T1. Control is performed so that 100_1 is stepped down. In the control cycle F2, the above-described demand processing is performed on the equipment device 100_2 of the building 200_2, and also in the control cycle F3, the above-described demand processing is performed on the equipment device 100_3 of the building 200_3.

Here, the stage reduction indicates that when the equipment is a refrigerator, the power control unit 12 controls each equipment to the amount of cooling that is half of the current operating state (that is, the amount of power demand). For example, when 5 refrigerator units of the equipment 100_1 are activated, 3 units are stopped by step-down, and when 3 and 4 units are activated, 2 units are stopped and 2 units are activated by step-down. If there is one, stop the refrigerator unit.
Further, the time XY is 15 minutes when the time X is 30 minutes and the time Y is 15 minutes. That is, since the demand process is performed only for half the control cycle width, each facility device is not completely subtracted in the control cycle.

  In the capacity control pattern PAT2, the equipment period of the building 200_1 is a demand process during the time XY from the time T1 + Y to the time T2, that is, from the time T1 + Y until the next control period F2 is started. Control is performed so that 100_1 and the facility device 100_2 of the building 200_2 are operated in stages. In the control cycle F2, the above-described demand processing is performed on the facility device 100_2 of the building 200_2 and the facility device 100_3 of the building 200_3. Also in the control cycle F3, the facility device 100_1 of the building 200_1 and the facility device 100_3 of the building 200_3 On the other hand, the above-described demand processing is performed. The capacity control pattern PAT2 is different from the capacity control pattern PAT1 in which one equipment crisis demand process is performed per control cycle, and the demand processing of two equipment devices is performed in each control period.

  The capacity control pattern PAT3 is a facility for all buildings as a demand process during the time XY from the time T1 + Y to the time T2, that is, from the time T1 + Y until the next control period F2 is started. Control is performed such that the devices (equipment devices 100_1, 100_2, and 100_3) are operated in stages. Also in the control cycle F2 and the control cycle F3, as a demand process, control is performed so that all the building equipment devices (facility devices 100_1, 100_2, and 100_3) are operated in a reduced stage. The capacity control pattern PAT3 is different from the capacity control pattern PAT1 in which one equipment crisis demand process is performed for each control cycle, and the demand process for three equipment is performed in each control period.

  In the capacity control pattern PAT4, the equipment in the building 200_1 is used as a demand process during the time XY from the time T1 + Y to the time T2, that is, from the time T1 + Y until the next control period F2 is started. 100_1 and the equipment device 100_2 of the building 200_2 are stepped down, and the operation state is controlled to stop the equipment device 100_3 of the building 200_3. In the control cycle F2, a demand process is performed in which the equipment device 100_2 of the building 200_2 and the equipment device 100_3 of the building 200_3 are stepped down and the equipment device 100_1 of the building 200_1 is stopped. Similarly, in the control cycle F3, a demand process is performed in which the equipment device 100_1 of the building 200_1 and the equipment device 100_3 of the building 200_3 are stepped down and the equipment device 100_2 of the building 200_2 is stopped.

  In the capacity control pattern PAT5, the equipment of the building 200_1 is processed as a demand process during the time XY from the time T1 + Y to the time T2, that is, from the time T1 + Y until the next control period F2 is started. 100_1 and the equipment device 100_2 of the building 200_2 are stopped, and the operation state is controlled to reduce the stage of the equipment device 100_3 of the building 200_3. In the control cycle F2, a demand process is performed in which the facility device 100_2 of the building 200_2 and the facility device 100_3 of the building 200_3 are stopped and the facility device 100_1 of the building 200_1 is stepped down. Similarly, in the control cycle F3, a demand process is performed in which the facility device 100_1 of the building 200_1 and the facility device 100_3 of the building 200_3 are stopped, and the facility device 100_2 of the building 200_2 is stepped down.

  The capacity control pattern PAT3 is a facility for all buildings as a demand process during the time XY from the time T1 + Y to the time T2, that is, from the time T1 + Y until the next control period F2 is started. Control for stopping the devices (facility devices 100_1, 100_2, and 100_3) is performed. Also in the control cycle F2 and the control cycle F3, control is performed to stop the facility devices (facility devices 100_1, 100_2, and 100_3) of all buildings as demand processing.

Next, FIG. 5 shows the correspondence between the pattern number of the capacity control pattern and the reduction rate of each facility device when performing stage reduction in demand processing using the capacity control pattern indicated by this pattern number for each building. It is a figure which shows the structure of a reduction rate corresponding | compatible table.
Here, in the correspondence table storage unit 17, a reduction rate correspondence table between the pattern number of the capacity control pattern and the reduction rate in the step-down of the capacity control pattern indicated by the pattern number is used as the equipment identification number for identifying the equipment. Corresponding and stored for each equipment.

Next, FIG. 6 shows the equipment device identification number (the number of the code is used), the control unit when the equipment equipment indicated by the equipment equipment identification number is stepped down, and the equipment equipment demand indicated by the equipment equipment identification number. It is a figure which shows the structure of the operation state corresponding | compatible table which shows a response | compatibility with the initial operation state before performing a process.
Here, in the correspondence table storage unit 17, the equipment device identification number for identifying the equipment device, the amount of power in the control unit of the equipment device indicated by this equipment device identification number, and the initial value of the equipment equipment indicated by this equipment device identification number. An operation state correspondence table in which the amount of power demand in the operation state is associated is stored. Here, the control unit is a unit for controlling the operation state in the description of each of the facility devices 100_1 to 100_n in FIG. 2, and is a ratio to the maximum demand power amount (maximum cooling capacity). For example, the control unit of the equipment 100_1, 100_2, and 100_n is 20%, and the control unit of the equipment 100_3 is 25%.

Returning to FIG. 1, when the prediction difference is supplied from the prediction difference calculation unit 14, the power control unit 12 reads the capacity control pattern from the capacity control pattern storage unit 16 in the order of the pattern number, and in which control equipment in any of the control cycles Whether to perform the demand processing is written and stored in the internal storage unit.
Further, the power control unit 12 reads the reduction rate corresponding to the pattern number of the read capacity control pattern from the reduction rate correspondence table of the correspondence table storage unit 17 for each equipment device.
Further, the power control unit 12 reads out the control unit of the equipment device and the initial operation state from the operation state correspondence table stored in the correspondence table storage unit 17 for each equipment device indicated by the equipment device identification number, Write to the internal storage and store.

Calculation of reduced electric energy using capacity control pattern PAT1 The power control unit 12 selects any one equipment device from the read capacity control pattern, for example, the read capacity control pattern PAT1, for each control cycle of the control cycle. In order to perform a demand process that operates while reducing the stage between −Y, a reduced power amount that is a demand power amount that is reduced by the demand process in each of the control cycles F1, F2, and F3 is obtained.
The power control unit 12 multiplies the reduction rate of the equipment device 100_1 by the number of operating chiller units that are in the initial operating state of the equipment device 100_1 to obtain the reduced power amount in the control cycle F1, and then calculates a numerical value after the decimal point. Is rounded up and the result of multiplication is taken as the new number of operations.

In addition, the power control unit 12 multiplies the difference between the initial operating state and the operating state after the demand process, that is, the number of the refrigerator units of the difference, by the amount of power of the control unit, and the multiplication result is the control cycle reduction power. Amount.
And the electric power control part 12 multiplies ((XY) / X) with respect to the reduction electric energy in this control period, and makes a multiplication result the reduction electric energy in the control period F1.
Here, when the power control unit 12 is configured by a plurality of refrigerator units as in the equipment device 100_1, the operation state is indicated by the number of activations of the refrigerator units.

The power control unit 12 calculates the reduced power amount in the control cycle F2 in which the demand processing of the facility device 100_2 is performed, similarly to the control cycle F1.
In addition, the power control unit 12 multiplies the reduction rate of the facility device 100_3 by the cooling capacity (demand power amount) of the refrigerator that is in the initial operation state of the facility device 100_3 in order to obtain the reduced power amount in the control cycle F3. The multiplication result is set as a new cooling capacity.
Further, the power control unit 12 divides the difference in cooling capacity between the initial operation state and the operation state after the demand process by the power amount of the control unit read from the operation state correspondence table of the correspondence table storage unit 12. Round up the result.
Then, the power control unit 12 multiplies the integer value obtained by switching the division result by the power amount of the control unit, and sets the multiplication result as the control cycle reduction power amount.
And the electric power control part 12 multiplies ((XY) / X) with respect to this control period reduction electric energy, and makes a multiplication result the reduction electric energy in the control period F3.

The capacity control unit 12 selects the capacity control pattern PAT1 when the reduced power amount of each of the control cycles F1, F2, and F3 exceeds the prediction difference, and performs a demand process based on the capacity control pattern PAT1 on each equipment device. Against.
That is, the capacity control 12 performs step-down of the facility device 100_1 in the control cycle F1, performs step-down of the facility device 100_2 in the control cycle F2, and performs step-down of the facility device 100_3 in the control cycle F3, respectively, for time XY. Demand processing performed during

Hereinafter, the demand power control of the power control unit 12 in the case of using FIG. 4 will be described. As shown below, the power control unit 12 calculates a reduced power amount in each control cycle from the capacity control patterns PAT1 to PAT6 in numerical order, and sets a capacity control pattern that satisfies the target upper limit value of the total demand power amount. The operation state of the equipment in the building under monitoring is controlled based on the detected capacity control pattern.
Calculation of reduced electric energy using capacity control pattern PAT2 As in the case of capacity control pattern PAT1, the power control unit 12 uses any two of the read capacity control patterns PAT2 for each control cycle of the control cycle. In order to perform a demand process for operating the equipment with steps reduced between XY, a reduced power amount that is a demand power amount reduced by the demand process in each of the control cycles F1, F2, and F3 is obtained.
In the case of this capacity control pattern PAT2, the equipment devices 100_1 and 100_2 are demand-controlled in the control cycle F1, the equipment devices 100_2 and 100_3 are demand-controlled in the control cycle F2, and the equipment devices 100_1 and 100_3 are demand-controlled in the control cycle F3. .

For this reason, the power control unit 12 adds the reduced electric energy of each of the equipment devices 100_1 and 100_2 obtained by the capacity control pattern PAT1 described above in the control cycle F1, and the addition result is obtained as the reduced electric energy of the control cycle F1. To do.
Similarly, the power control unit 12 adds the reduced electric energy of each of the equipment devices 100_2 and 100_3 obtained by the capacity control pattern PAT1 described above in the control cycle F2, and the addition result is used as the reduced electric energy of the control cycle F2. To do.
In addition, the power control unit 12 adds the reduced power amounts of the respective equipment devices 100_1 and 100_3 obtained by the capacity control pattern PAT1 described above in the control cycle F3, and uses the addition result as the reduced power amount of the control cycle F3. .

The capacity control unit 12 selects the capacity control pattern PAT2 when the reduced power amount of each of the control cycles F1, F2, and F3 exceeds the prediction difference, and performs a demand process based on the capacity control pattern PAT2 on each facility device. Against.
That is, the capacity control 12 performs step-down of the facility devices 100_1 and 100_2 in the control cycle F1, performs step-down of the facility devices 100_2 and 100_3 in the control cycle F2, and performs step-down of the facility devices 100_1 and 100_3 in the control cycle F3. , Demand processing to be performed during time XY is performed.

Calculation of the reduced power amount using the capacity control pattern PAT3 The power control unit 12, for example, from the read capacity control pattern PAT3, for all three control cycles in the control cycle, as in the case of the capacity control pattern PAT1. The amount of reduced electric power is calculated in the demand process in which the equipment is operated with steps reduced between XY.
In other words, the power control unit 12 calculates a reduced power amount that is a demand power amount that is reduced by a step-down of the equipment in all the buildings by demand processing in each of the control cycles F1, F2, and F3.
In the case of this capacity control pattern PAT3, a demand process is performed in which all of the equipment devices 100_1, 100_2, and 100_3 are subtracted in each of the control cycles F1, F2, and F3.
For this reason, the power control unit 12 adds the reduced power amount due to the reduction of each of the equipment devices 100_1, 100_2, and 100_3 obtained by the capacity control pattern PAT1 described above, and the addition result is added to the control periods F1, F2, and F3. Each reduced electric energy is assumed.

The capacity control unit 12 selects the capacity control pattern PAT3 when the reduced power amount of each of the control cycles F1, F2, and F3 exceeds the prediction difference, and performs a demand process based on the capacity control pattern PAT3 on each facility device. Against.
That is, the capacity control 12 performs a demand process in which the equipment devices 100_1, 100_2, and 100_3 are stepped down during the time XY in each of the control cycles F1, F2, and F3.

Calculation of reduced electric energy using capacity control pattern PAT4 The power control unit 12 performs, for example, from XY capacity read pattern control pattern PAT4 for each control cycle of the control cycle, as in the case of capacity control pattern PAT1. In the meantime, the calculation process of the reduced electric energy is performed in the demand process in which any two of the three equipments are operated in a step-down manner and the remaining one equipment is stopped.
That is, the power control unit 12 obtains a reduced power amount that is a demand power amount to be reduced in the equipment equipment to be reduced and the equipment equipment to be stopped by the demand processing in each of the control cycles F1, F2, and F3.

  In the case of this capacity control pattern PAT3, in the control cycle F1, the equipment devices 100_1 and 100_2 are stepped down, the equipment device 100_3 is stopped, the equipment devices 100_2 and 100_3 are stepped down, the equipment device 100_1 is stopped, and the equipment device 100_1. And 100_3 are stepped down, and the equipment 100_3 is stopped. That is, in the control cycle of the demand power amount, the capacity control pattern PAT4 is set in advance as a combination in which the two equipment devices to be reduced in each control cycle constituting the control cycle and the one equipment equipment to be stopped are different. Has been.

Here, the power control unit 12 calculates the reduced power amount due to the stopped equipment by multiplying the demand power amount in the current operating state within the control cycle by ((XY) / X). . The demand power amount in the current operating state is read out in correspondence with the equipment device identification number from the operating state correspondence table stored in the correspondence table storage unit 17 shown in FIG.
Then, the power control unit 12 reduces the amount of power generated by the step-down of the two equipment devices obtained by the processing of the capacity control pattern PAT1 with respect to the combination of operating states of the equipment devices in each of the control cycles F1, F2, and F3 And the reduced power amount by one facility device stopped as described above, and this addition result is used as the reduced power amount of each of the control cycles F1, F2, and F3.

Calculation of the reduced power amount using the capacity control pattern PAT5 The power control unit 12, for example, from the read capacity control pattern PAT5, for each control cycle of the control cycle, as in the case of the capacity control pattern PAT1 In the meantime, a reduction power amount calculation process is performed in a demand process in which any one of the three equipments is operated in a reduced stage and the remaining two equipments are stopped.
That is, the power control unit 12 obtains a reduced power amount that is a demand power amount to be reduced in the equipment equipment to be reduced and the equipment equipment to be stopped by the demand processing in each of the control cycles F1, F2, and F3.

  In the case of this capacity control pattern PAT3, in the control cycle F1, the facility devices 100_1 and 100_2 are stopped, the facility device 100_3 is stepped down, the facility devices 100_2 and 100_3 are stopped, the facility device 100_1 is stepped down, and the facility device 100_1. And 100_3 are stopped, and the equipment 100_3 is stepped down. That is, in the control cycle of the demand power amount, the capacity control pattern PAT5 is set in advance as a combination in which two equipment devices to be stopped and one equipment equipment to be reduced are different in each control cycle constituting the control cycle. Has been.

Here, the power control unit 12 uses the reduced power amount due to the step reduction of each equipment device obtained by the demand processing of the capacity control pattern PAT1, and the reduced power amount of each equipment device obtained by the demand processing of the capacity control control pattern PAT4. Is used to find the amount of reduced power in each control cycle by the capacity control pattern PAT5.
In other words, the power control unit 12 reduces the amount of electric power generated by the step-down of the two equipment devices obtained by the processing of the capacity control pattern PAT1 for each combination of operating states of the equipment devices in each of the control cycles F1, F2, and F3 And the reduced power amount of one facility device obtained by the processing of the capacity control pattern PAT1 are added, and the addition result is set as the reduced power amount of each of the control periods F1, F2, and F3.

Calculation of the reduced power amount using the capacity control pattern PAT6 The power control unit 12, for example, from the read capacity control pattern PAT6, for all three control cycles in the control cycle, as in the case of the capacity control pattern PAT1. The reduction electric energy is calculated in the demand process in which the equipment is operated while being stopped between X and Y.
That is, the power control unit 12 calculates a reduced power amount that is a demand power amount that is reduced by stopping the equipment in all the buildings by demand processing in each of the control cycles F1, F2, and F3.
In the case of this capacity control pattern PAT6, demand processing is performed in which all of the equipment devices 100_1, 100_2, and 100_3 are stopped in each of the control cycles F1, F2, and F3.
For this reason, the power control unit 12 adds the reduced power amount due to the stop of each of the equipment devices 100_1, 100_2, and 100_3 obtained by the capacity control pattern PAT4 described above, and the addition result is added to each of the control periods F1, F2, and F3. Reduced power consumption.

The power control unit 12 selects the capacity control pattern PAT6 when the reduced power amount of each of the control cycles F1, F2, and F3 exceeds the prediction difference, and performs the demand process based on the capacity control pattern PAT3 on each facility device. Against.
That is, the power control unit 12 performs a demand process in which the facility devices 100_1, 100_2, and 100_3 are stopped during the time XY in each of the control cycles F1, F2, and F3.

  Further, in the above-described step-down process, for example, when the current operating state of the equipment 100_1 is a state in which one refrigerator unit is operating, when the step-down reduction rate is 50%, the decimal point Round up to the next whole number. For this reason, regardless of the reduction rate, as long as a numerical value exists after the decimal point, one refrigerator unit (that is, a control unit) is always operated, and the equipment does not stop in the case of reduction.

Next, the operation of demand power control of the demand power control apparatus 1 according to the present embodiment will be described with reference to FIG. 1, FIG. 3, and FIG. FIG. 7 is a flowchart illustrating a processing example of demand power control of the demand power control apparatus 1. The following description will be made assuming that there are three equipment devices 100_1 to 100_3 under the monitoring of the demand power control apparatus 1, and the capacity control patterns PAT1 to PAT6 in FIG. 4 are used.
Step S0:
The predicted value calculation unit 13 resets the processing flag inside itself and sets the processing flag to a state in which it is not set.
In addition, the power control unit 12 performs initialization to set the count value of the control cycle counter 19 to 1, and advances the processing to step S1.

Step S1:
The timer unit 18 initializes each of the X timer, the m0 timer, and the Y timer with the current time T, for example, time T1.
Then, the timer unit 18 causes each of the X timer, the m0 timer, and the Y timer to start a count operation at the same timing, and advances the process to step S2.

Step S2:
The timer unit 18 determines whether or not the m0 timer has been counted up.
At this time, when the m0 timer counts up, the timer unit 18 outputs the measurement control signal to the predicted value calculation unit 13 and determines that the time m0 has elapsed, and then proceeds to step S3.
On the other hand, when the m0 timer has not counted up, the timer unit 18 repeats the process of step S2 assuming that the time m0 has not elapsed.

Step S3:
The predicted value calculation unit 13 reads the unit power amount, which is actual power measured and output by the measurement unit 11, from the measurement unit 11, and advances the process to step S4.

Step S4:
The predicted value calculation unit 13 detects whether or not a processing flag within itself is set.
At this time, when the process flag is set, the predicted value calculation unit 13 determines that the demand process is being performed and advances the process to step S6.
On the other hand, when the processing flag is not set, the predicted value calculation unit 13 proceeds with the process to step S5 on the assumption that the demand process is not performed.

Step S5:
When the processing flag in the prediction value calculation unit 13 is not set, the predicted value calculation unit 13 instructs the measurement unit 11 to provide the cooling capacity (in the current operating state of the facility devices 100_1 to 100_3 under the monitoring of the demand power control device 1). A control signal requesting detection of (demand power amount) is output.
When the control unit 11 is supplied with the above-described control signal, the measurement unit 11 reads the power demand amount in the operating state of each facility device from each of the facility devices 100_1, 100_2, and 100_3, and the demand in the current operating state of each facility device that has been read. The electric energy is output to the predicted value calculation unit 13.
Then, the predicted value calculation unit 13 sets the demand power amount in the current operation state of each facility device read from the measurement unit 11 to the facility device identification number of each facility device in the operation state correspondence table of the correspondence table storage unit 17. It is written and stored in the term of demand power amount in the corresponding initial operating state.
And the predicted value calculation part 13 advances a process to step S6.

Step S6:
The predicted value calculation unit 13 multiplies the unit power amount read from the measurement unit 11 by (control cycle / unit time), and sets the multiplication result as an estimated value.
Then, the predicted value calculation unit 13 outputs the obtained estimated value to the predicted difference calculation unit 14, and then advances the process to step S7.

Step S7:
The prediction difference calculation unit 14 reads an upper limit value, which is a power capacity that can be used as the demand power amount, from the target value storage unit 15.
Then, the prediction difference calculation unit 14 compares the read upper limit value with the estimated value supplied from the prediction value calculation unit 13.
At this time, when the estimated value is less than the upper limit value (Y), the prediction difference calculation unit 14 advances the process to step S15.
On the other hand, when the estimated value is equal to or greater than the upper limit value (N), the prediction difference calculation unit 14 subtracts the upper limit value from the estimated value, and transmits the subtraction result to the power control unit 12 as a prediction difference. Proceed to

Step S8:
The power control unit 12 reads the count value from the control cycle counter 19 and sequentially reads the capacity control patterns PAT 1 to PAT 6 from the capacity control pattern database 16.
Then, for each capacity control pattern that has been read, the power control unit 12 calculates a reduced power amount for performing demand processing for the control period corresponding to the count value of the control period counter 19.
That is, the power control unit 12 calculates a reduced power amount that is a power amount to be reduced from the demand power amount in the initial operating state when the demand process is performed in the current control cycle of each capacity control pattern.
Then, the power control unit 12 calculates the reduced power amount in the current control cycle of each of the capacity control patterns PAT1 to PAT6, and then advances the process to step S9.

Step S9:
The power control unit 12 extracts a capacity control pattern corresponding to the reduced power amount exceeding the prediction difference from each reduced power amount by the demand processing using the capacity control patterns PAT1 to PAT6.
Then, the power control unit 12 selects a capacity control pattern corresponding to the smallest reduced power amount from the extracted capacity control patterns, and advances the processing to step S10.
However, when the prediction difference exceeds the reduced power amount by the capacity control pattern PAT6, that is, the largest reduced power amount, the power control unit 12 uses the capacity control pattern PAT6 to control the operating state of the equipment under monitoring. Select as capacity control pattern.

Step S10:
The power control unit 12 performs a process flag setting process inside the prediction value calculation unit 13. At this time, even if the processing flag of the predicted value calculation unit 13 is set, the power control unit 12 sets again.
And the electric power control part 12 advances a process to step S11.

Step S11:
The timer unit 18 determines whether or not the Y timer has counted up.
At this time, if the Y timer counts up, the timer unit 18 outputs a processing control signal to the power control unit 12 and proceeds to step S12, assuming that the time Y has elapsed.
On the other hand, when the Y timer has not counted up, the timer unit 18 repeats the process of step S11 assuming that the time Y has not elapsed.

Step S12:
When the processing control signal is supplied from the timer unit 18, the power control unit 12 starts control of the operating state of the monitored equipment according to the selected capacity control pattern, and then proceeds to step S <b> 13.
That is, the power control unit 12 performs the demand process by controlling the reduction and stop of the equipment crisis during the XY time in each control cycle of the control cycle according to the capacity control pattern.

Step S13:
The timer unit 18 determines whether or not the X timer has counted up.
At this time, when the X timer counts up, the timer unit 18 outputs a cycle control signal to the power control unit 12 and assumes that the time X has elapsed, that is, one of the control cycles has ended. Proceed to step S14.
On the other hand, when the X timer has not counted up, the timer unit 18 repeats the process of step S13 assuming that the time X has not elapsed.

Step S14:
When the periodic control signal is supplied from the timer unit 18, the power control unit 12 ends the demand processing, assuming that the time XY for performing the demand processing has elapsed.
That is, the power control unit 12 in the initial operation state stored in correspondence with the facility device identification number of the facility device performing the demand process in the current control cycle of the operation state correspondence table of the correspondence table storage unit 17. Read the power demand.
Then, the power control unit 12 controls the operating state of the control target equipment so that the operating status of the control target equipment in the current control cycle is operated according to the power demand amount in the read initial operating state. .
Further, the power control unit 12 is supplied with the cycle control signal, and outputs the count signal to the control cycle counter 19 after completing the above-described transition of the operation state.
Then, when the count signal is supplied, the control cycle counter 19 increments the count value by one and advances the process to step S1.

Step S15:
The predicted value calculation unit 13 detects whether or not a processing flag within itself is set.
At this time, when the processing flag is set, the predicted value calculation unit 13 determines that the demand process is currently being performed and advances the process to step S16.
On the other hand, when the processing flag is not set, the predicted value calculation unit 13 proceeds with the process to step S17 on the assumption that the demand process is not performed.

Step S16:
The power control unit 12 resets the processing flag inside the predicted value calculation unit 13, sets the processing flag to a state where no flag is set, and advances the processing to step S17.

Step S17:
The timer unit 18 determines whether or not the X timer has counted up.
At this time, if the timer X counts up, the timer unit 18 outputs a cycle control signal to the power controller 12 assuming that the time X has elapsed, that is, one of the control cycles has ended, and then performs step S18. Proceed to
On the other hand, when the X timer has not counted up, the timer unit 18 repeats the process of step S17 assuming that the time X has not elapsed.

Step S18:
The power control unit 12 outputs a count signal to the control cycle counter 19 when the cycle control signal is supplied.
Then, when the count signal is supplied, the control cycle counter 19 increments the count value by one and advances the process to step S1.
In the demand process of the flowchart described above, the power control unit 12 repeatedly performs the control cycle constituting the control cycle in the control cycle according to the control cycle indicated by the capacity control pattern.

As described above, in the present embodiment, when demand processing is performed, the equipment in one of the buildings under monitoring is not stopped during the entire period of the control cycle, but a predetermined time ( Only time XY) is stopped.
For this reason, according to the present embodiment, the environment of the entire monitored building is improved to some extent by reducing the amount of power on average to each building, rather than reducing only the environment of any building. In the maintained state, the entire total power demand can be reduced.

In addition, according to the present embodiment, as described above, in accordance with the flowchart of FIG. 7, in the control cycle, only the control for reducing the amount of power demand of the equipment in each building is even, so that the building has already been constructed. It can also be easily applied to smart grids.
Further, according to the present embodiment, the calculation of the predicted value of the demand power amount in the control cycle and the calculation of the reduced power amount by the capacity control pattern are simple, so that processing can be performed at high speed and real time within the same control cycle. In addition, the power consumption can be reduced.

In addition, since the time for performing the demand processing is variable depending on each control cycle of the first embodiment, the same capacity control pattern may be used in all control cycles in units of control cycles as efficient control.
That is, in the configuration of the first embodiment described above, a reduced power amount for performing demand processing is calculated for each control cycle, and a capacity control pattern for performing demand processing only for the target control cycle is selected.
However, when selecting a capacity control pattern for demand processing of all control periods in the control cycle in the first control period F1 in the control cycle unit, the power control unit 12 selects in the first control period F1 of the control cycle. The capacity control pattern thus used is also used by demand processing in the control cycles F2 and F3.
Thereby, the calculation of the reduced electric energy for performing the demand process is made efficient.

<Second Embodiment>
The second embodiment has the same configuration as the demand power control apparatus 1 according to the first embodiment, and has the configuration shown in FIG.
In the above-described first embodiment, the time XY of the demand process in which the step-down or stop control is performed is described as being the same in all the capacity control patterns. Different time periods for demand processing may be used for each type, that is, for each building (building).
That is, as the second embodiment, the time XY for performing step reduction or stop as demand processing can be varied for each capacity control pattern, and the amount of reduced power is made uniform between control cycles in the control cycle. Demand processing can be performed efficiently.
In this case, the power control unit 12 obtains a ratio between the equipments of the maximum demand power amount of the equipment in the building being monitored, and based on this ratio, time XY is calculated between the equipments, that is, the control cycle. Control with variable period. Further, in the operation state correspondence table of the correspondence table storage unit 17, the maximum demand power amount (maximum cooling capacity) in operation of each facility device is stored in advance corresponding to the facility device identification number of each facility device.

For example, the power control unit 12 reads the maximum demand power amount of each of the equipment devices 100_1, 100_2, and 100_3, and uses the read maximum demand power amount of each equipment device to calculate the ratio of the maximum demand power between the equipment devices. A certain maximum demand energy ratio is calculated.
At this time, the power control unit 12 extracts the smallest maximum demand power amount from the facility devices 100_1, 100_2, and 100_3, and divides each maximum demand power amount by the smallest maximum demand power amount.
That is, the power control unit 12 obtains the maximum demand power ratio between the respective equipments by standardizing each maximum demand power amount with the smallest maximum demand power amount.
Here, the smallest maximum demand power amount is the equipment device 100_1, and the obtained maximum demand power amount ratio in each of the equipment devices 100_1, 100_2, and 100_3 is obtained by, for example, 1: 1.2: 1.3. It is done.

At this time, the power control unit 12 uses the time XY as it is as the time CT1 for performing the demand processing in the control cycle F1.
On the other hand, when the power control unit 12 obtains the time for performing the demand processing in the control cycle F2, the power control unit 12 divides the time XY by the ratio 1.2 of the maximum demand power amount of the equipment that performs the demand processing in the control cycle F2. Thus, the division result is obtained as a time CT2 for performing the demand processing in the control cycle F2.
Similarly, when the power control unit 12 obtains the time for performing the demand processing in the control cycle F2, the time XY is divided by the ratio 1.3 of the maximum demand power amount of the equipment that performs the demand processing in the control cycle F2. Then, the division result is obtained as the time CT3 for performing the demand processing in the control cycle F2.

The timer unit 18 further includes a CT1 timer, a CT2 timer, and a timer CT3 as timers that start counting from the time when the counting operation is started and the time Y elapses and the processing control signal is output.
The CT1 timer starts counting from the time when the timer control unit 18 outputs the process control signal in the control cycle F1, and counts up when the time CT1 elapses. An end control signal indicating that the change has occurred is output.
Similarly, the CT2 timer starts counting from the time when the timer 18 outputs the processing control signal in the control period F2, and counts up when the time CT2 elapses, and ends the demand processing for the power controller 12. An end control signal indicating that it is time to perform is output.
The CT3 timer starts counting from the time when the timer unit 18 outputs the process control signal in the control cycle F3, and counts up when the time CT3 elapses, and ends the demand process for the power control unit 12. An end control signal indicating that it is time is output.

In the processing described above, the power control unit 12 sets the times CT1, CT2, and CT3 obtained by itself to the CT1 timer, CT2 timer, and CT3 timer of the timer unit 18, respectively.
In addition, as described above, the power control unit 12 starts counting by the X timer, the Y timer, and the m0 timer, and reduces or stops the equipment corresponding to each control cycle from the time Y has elapsed. Demand processing including is started.
Then, the power control unit 12 counts up the corresponding CT timer in each control cycle, and when the end control signal is supplied from the timer unit 18, the power control unit 12 includes a demand including a step-down or stop of the equipment corresponding to the control cycle. The process ends.
With the above-described processing, even if the amount of power demand differs for each equipment device in each building, the amount of power reduced in each control cycle can be made uniform, and efficient demand processing can be performed with high accuracy.

In addition, since the time for performing the demand processing is variable depending on each control cycle of the second embodiment, the same capacity control pattern may be used for all control cycles in units of control cycles as efficient control.
That is, in the configuration of the second embodiment described above, a reduced power amount for performing demand processing is calculated for each control cycle, and a capacity control pattern for performing demand processing only for the target control cycle is selected.
However, when selecting a capacity control pattern for demand processing of all control periods in the control cycle in the first control period F1 in the control cycle unit, the power control unit 12 selects in the first control period F1 of the control cycle. The capacity control pattern thus used is also used by demand processing in the control cycles F2 and F3. Further, in the control cycle F1, not only the time CT1, but also the respective times CT2 and CT3 of the control cycles F1 and F2 are calculated.
Thereby, the calculation of the reduced electric energy for performing the demand process is made efficient.

Moreover, in 1st Embodiment and 2nd Embodiment, it is good also considering the installation apparatus controlled in each control cycle as the installation apparatus grouped combining the installation apparatus of a some building.
That is, there are a plurality of buildings in the facility, and equipment with different maximum demand power amounts is provided for each building. For this reason, a plurality of buildings are grouped in order to equalize the reduced electric energy in each control cycle.
That is, the amount of power demand of the equipment included in the group is added to obtain the amount of group demand power, and the combinations of buildings that make up the group are performed so that the amount of group power demand between the groups is as uniform as possible.

Then, the power control unit 12 associates one group for each control cycle, and collectively performs facility reduction or stop demand processing for the equipment included in the group corresponding to each control cycle.
Here, the power control unit 12 calculates the reduced power amount in each control cycle, as described in the first embodiment, and calculates the reduced power amount of each facility device in the group. And the electric power control part 12 totals the calculated reduction electric energy, and uses it as the reduction electric energy of the group in the control period. Subsequent demand process control is the same as in the first or second embodiment.

  Further, the program for realizing the function of the power demand control device in FIG. 1 is recorded on a computer-readable recording medium, and the program recorded on the recording medium is read into the computer system and executed, thereby executing the power demand. The amount may be controlled. Here, the “computer system” includes an OS and hardware such as peripheral devices.

Further, the “computer system” includes a homepage providing environment (or display environment) if a WWW system is used.
The “computer-readable recording medium” refers to a storage device such as a flexible medium, a magneto-optical disk, a portable medium such as a ROM and a CD-ROM, and a hard disk incorporated in a computer system. Furthermore, the “computer-readable recording medium” dynamically holds a program for a short time like a communication line when transmitting a program via a network such as the Internet or a communication line such as a telephone line. In this case, a volatile memory in a computer system serving as a server or a client in that case, and a program that holds a program for a certain period of time are also included. The program may be a program for realizing a part of the functions described above, and may be a program capable of realizing the functions described above in combination with a program already recorded in a computer system.

  The embodiment of the present invention has been described in detail with reference to the drawings. However, the specific configuration is not limited to this embodiment, and includes design and the like within a scope not departing from the gist of the present invention.

DESCRIPTION OF SYMBOLS 1 ... Demand power control apparatus 11 ... Measurement part 11a ... Electric power sensor 12 ... Electric power control part 13 ... Predicted value calculation part 14 ... Prediction difference calculation part 15 ... Target value memory | storage part 16 ... Capacity control pattern memory | storage part 17 ... Correspondence table memory | storage part DESCRIPTION OF SYMBOLS 18 ... Timer part 19 ... Control period counter 100_1, 100_2, 100_3, 100_n ... Equipment 200_1, 200_2, 200_3, 200_n ... Building 300 ... Electric power source

Claims (7)

A demand power control device that controls a total demand power amount that is a sum of demand power amounts supplied to loads provided in each of a plurality of buildings,
A measurement unit that measures the amount of power supplied to the loads of all the buildings for a predetermined time, and outputs a measurement result as an actual value;
For each control cycle, a predicted value calculation unit that calculates a predicted value of the total power demand in the control cycle from the actual value;
The predicted value is compared with a preset upper limit value of the total demand electric power, and when the predicted value exceeds the upper limit value, a prediction difference that is a difference between the upper limit value and the predicted value is calculated. A prediction difference calculation unit to
In accordance with the prediction difference, the power demand for each load of the building is controlled in turn for each building in the control period, and a power control unit that controls the total power demand;
A power demand control apparatus comprising: The predicted value calculation unit
After the first period in the control cycle, the actual value is read from the measurement unit, and the predicted value in the control cycle is calculated from the actual value,
The power control unit is
2. The demand power according to claim 1, wherein the demand power amount of the load in the building corresponding to the control cycle is controlled according to the prediction difference after the second period in the control cycle has elapsed. Control device. A capacity control pattern in which a plurality of types are provided for each control method with different demand power amounts of the load of the building, and a capacity control pattern indicating the load to be controlled for the demand power amount for each control cycle is stored. A storage unit;
The power control unit is
The capacity control pattern corresponding to the prediction difference is selected from the plurality of capacity control patterns stored in the capacity control pattern storage unit, and the demand of the load for each building is selected according to the selected capacity control pattern. The power demand control apparatus according to claim 1 or 2, wherein the power amount is controlled. For each load, there is further provided a correspondence table storage unit in which a correspondence table in which a control unit of the power capacity of the load is associated with the power capacity of the demand power amount of the electronic device in the current operating state is stored. And
The power control unit is
The reduced power amount reduced for each capacity control pattern is calculated based on the current demand power amount of the load, a predetermined reduction rate, and the control unit, and the calculated reduced power amount is the predicted The demand power control device according to claim 3, wherein the capacity control pattern that exceeds the capacity and has a minimum value is selected, and each load of the building is controlled by the selected capacity control pattern.   The second period is set for each building so as to be a control period for averaging the reduction amount in the control cycle of each load of the building in the demand power amount by the capacity control pattern. The power demand control apparatus according to claim 3 or 4, characterized in that it is characterized in that:   6. The building is grouped by a combination that averages the reduction amount in the control cycle, and the demand power amount of the load of the building is controlled by the capacity control pattern in units of groups. The demand power control apparatus as described in any one of. A demand power control method for controlling a demand power control device that controls a total demand power amount that is a total amount of demand power supplied to a load provided in each of a plurality of buildings,
A measurement unit measures the amount of power supplied to the loads of all the buildings for a predetermined time, and outputs a measurement result as an actual value,
A predicted value calculation unit, for each control cycle, a predicted value calculation process of calculating a predicted value of the total demand power amount in the control cycle from the actual value;
When the prediction difference calculation unit compares the prediction value calculated by the prediction value calculation unit with a preset upper limit value of the total demand power and the prediction value exceeds the upper limit value, the upper limit A prediction difference calculation process for calculating a prediction difference that is a difference between a value and the prediction value;
A power control process in which a power control unit sequentially controls the power demand for each load of the building in units of the control period according to the prediction difference and adjusts the total power demand; ,
A method for controlling power demand, comprising:

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