JP2014152984A - Energy supply plant operation control device, operation control method, and operation control program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an energy supply plant operation control technique capable of creating an operation schedule which reduces peak power.SOLUTION: An energy supply plant operation control device includes: a demand prediction section 39 which creates a prediction value of supply energy demand in an energy supply plant which has control object devices including heat source devices, such as a water cooling refrigeration machine 11 and an air cooling HP 12, and energy accumulation devices, such as a heat storage tank 13 and a storage battery 14, and supplies incoming electric power and energy from the control object devices to energy consumption devices; a schedule creation section 40 which creates an operation schedule of the control object devices on the basis of the prediction value, the allowable output of the heat source devices, and the capacity of the energy accumulation devices so that peak of the incoming electric power becomes small; and a control setting value creation section 41 which creates control setting values for operating the control object devices according to the operation schedule.

Description

  Embodiments of the present invention relate to a technique for optimizing the operation schedule of devices to be controlled such as heat source devices and energy storage devices in an energy supply plant such as a building or a factory.

  Taking Japan as an example, the energy consumption in the civilian business sector of buildings such as buildings in Japan is about 20% of the final energy consumption, which is the energy that is finally consumed excluding energy loss. For this reason, if the manager and user of the building can continue to save energy, it is effective in suppressing final energy consumption.

  In particular, in response to the recent tightening of electric power demand, there is an increasing need for peak cut to reduce energy consumption in a time zone when the demand is at its maximum, that is, at a peak. Moreover, in order to implement | achieve such peak cut, the peak shift which shifts the time when energy consumption becomes a peak using a thermal storage tank etc. is also performed.

  For example, conventionally, heat source equipment is operated during the time when electricity prices are cheap, heat is stored in the heat storage tank, and peak heat is reduced by discharging and using heat storage in the heat storage tank during peak hours when electricity charges are high Is realized.

  As a more specific example of peak cut, there is a technique as shown in FIGS. FIG. 2 is a technique for increasing the operation efficiency of the heat source device by satisfying the demand by releasing the heat storage while operating the heat source device with as few units as possible so that the load factor of the heat source device becomes high.

  FIG. 4 shows a method for minimizing the operating cost of the heat source device by satisfying the demand by releasing the heat storage while lowering the number of operating heat source devices during the peak time period when the unit price of electricity is high.

JP 2003-50037 A

  However, the technology as described above is a technique for increasing the operating efficiency of the heat source equipment or minimizing the operating cost of the heat source equipment, and although it can reduce the power consumption in the peak hours, it is not always possible to reduce the peak power as much as possible. It wasn't small.

  In other words, even if the power consumption was reduced only in a specific time period, another peak occurred in the time period when it was not reduced, and the peak power was not as small as possible when viewed over the entire day. Become. For this reason, the concentration of demand in the peak time zone and the surrounding time zone has not been sufficiently eliminated.

  Embodiments of the present invention have been proposed in order to solve the above-described problems of the prior art, and the purpose thereof is an operation control technology for an energy supply plant capable of creating an operation schedule for minimizing peak power as much as possible. Is to provide.

In order to achieve the above object, an operation control apparatus for an energy supply plant according to an embodiment of the present invention has the following invention specific items.
(1) Demand forecasting unit that creates a predicted value of the amount of energy supplied in an energy supply plant that supplies received energy and energy from controlled devices including heat source equipment and energy storage equipment to energy consuming equipment
(2) Based on the predicted value created by the demand prediction unit, the allowable output of the heat source device, and the capacity of the energy storage device, the operation schedule of the control target device is created so that the peak of received power is reduced Schedule creation department
(3) A control set value creation unit that creates a control set value for operating the device to be controlled according to the operation schedule

  In addition, another form can also be grasped | ascertained as the method for implement | achieving the function of said each part with a computer or an electronic circuit, and the program which makes a computer perform.

The block diagram which shows an example of the operation control apparatus of the energy supply plant of embodiment Diagram showing an example of cold water supply and heat storage pattern Block diagram showing the configuration of the schedule creation unit Block diagram showing details of the configuration of the schedule creation unit Block diagram showing an example of the cold water production unit price list Block diagram showing an example of the cold water incremental unit price table Flow chart showing the processing procedure of the optimum operation control device Flow chart showing the procedure of the demand forecasting process of the demand forecasting unit The figure which shows the relationship between the predicted power consumption and the maximum power consumption predicted from the actual power consumption Flow chart showing the procedure for the operation stop schedule creation process Flow chart showing procedures for heat storage schedule and power storage schedule creation procedure Diagram showing an example of shutdown schedule and cold water demand The figure which shows an example of the operation stop schedule according to the output zone and the cold water demand A figure showing an example of power demand and power of heat source equipment The figure which shows an example of the peak cut of the cold water output of a heat source apparatus The figure which shows an example of the peak cut of the cold water output of a heat source apparatus The figure which shows an example of the peak cut of the cold water output of a heat source apparatus The figure which shows an example of the peak cut of the cold water output of a heat source apparatus The figure which shows an example which returns cold water output to heat source equipment Diagram showing an example of power demand obtained as a result of peak cut Diagram showing an example of peak shift by water-cooled refrigerator Diagram showing an example of peak shift by water-cooled refrigerator The figure which shows an example of the peak shift by a storage battery The figure which shows an example of the peak shift by a storage battery Diagram showing operation mode of heat source equipment Diagram showing an example of the operation schedule Flow chart showing operation schedule correction processing Diagram showing the relationship between the predicted power consumption and maximum power consumption Block diagram showing another embodiment

Hereinafter, an embodiment of an operation control device of an energy supply plant will be described.
[A. Constitution]
First, the configuration of a system to which this embodiment is applied will be described with reference to FIG. The system is a system that controls the energy supply plant 1 and includes a monitoring control device 2 and an operation control device 3.

  The operation control device 3 is connected to the weather information storage device 4 via a network 5 such as the Internet. The weather information storage device 4 is a processing unit that stores weather information. For example, the weather information storage device 4 can be configured by a server of a system that provides weather information.

[1. Energy supply plant]
The energy supply plant 1 includes a cooling tower 10, a water-cooled refrigerator 11, an air-cooled HP (heat pump) 12, a heat storage tank 13, a storage battery 14, pumps 15 to 18, valves 19 to 21, an air conditioner 23, and an illumination 24.

  The cooling tower 10 is a device that cools water supplied to the water-cooled refrigerator 11 and water discharged from the water-cooled refrigerator 11. The water-cooled refrigerator 11 is a device that supplies cold water by changing the phase of a refrigerant using water from the cooling tower 10 as a heat source. The cooling tower 10 and the water-cooled refrigerator 11 are heat source devices and consume electric power during operation. The water-cooled refrigerator 11 can be operated by a plurality of levels of output bands.

  The air-cooled HP 12 is a device that supplies cold water or hot water by using a phase change of a refrigerant using air as a heat source. The air-cooled HP 12 is a heat source device and consumes electric power during operation. The air-cooled HP 12 can be operated with a plurality of levels of output bands.

  In addition, the operation | movement of the heat source apparatus requires the action | operation of the pumps 15-18 mentioned later and the valves 19-21, and consumes electric power also at the time of these action | operations. The operation of the heat source device includes the operation of the pumps 15 to 18 and the valves 19 to 21.

  The heat storage tank 13 is a tank that stores heat using a stored heat medium. The storage battery 14 is a facility that uses a secondary battery that can charge power received from a commercial power source (indicated by “power reception” in the figure) and discharge the charged power. The heat storage tank 13 and the storage battery 14 are energy storage devices.

  The pump 15 is a device that is provided in a system between the water-cooled refrigerator 11 and the air conditioner 23 and circulates cold water between the water-cooled refrigerator 11 and the air conditioner 23. The pump 16 is a device that is provided in a system between the cooling tower 10 and the water-cooled refrigerator 11 and circulates cold water between the cooling tower 10 and the water-cooled refrigerator 11.

  The pump 17 is a device that is provided in a system between the air-cooled HP 12 and the air conditioner 23 and circulates cold water or hot water between the air-cooled HP 12 and the air conditioner 23. The pump 18 is a device that is provided in a system between the heat storage tank 13 and the air conditioner 23 and circulates cold water or hot water between the heat storage tank 13 and the air conditioner 23.

  A part of the system between the water-cooled refrigerator 11, the air-cooled HP 12, the heat storage tank 13 and the air conditioner 23 is configured by a common pipe. Valves 19 to 21 for switching the water supply system are provided in the common system and the system of the heat storage tank 13 connected thereto.

  The air conditioner 23 and the lighting 24 are energy consuming devices installed in the building 22. As described above, the air conditioner 23 is a device that cools the water-cooled refrigerator 11, the air-cooled HP 12, the cold water from the heat storage tank 13, and the supplied power. The air conditioner 23 is a device that can also be heated by receiving supply of hot water and received power from the air-cooled HP 12.

  Supply of cold water to the air conditioner 23 is performed by switching the valves 19 to 21 and appropriately operating the water-cooled refrigerator 11, the cooling tower 10, and the pumps 15 to 18, so that either the water-cooled refrigerator 11 or the heat storage tank 13 or It is possible from both sides.

  FIG. 2 shows an example of a pattern in which cold water is supplied from the water-cooled refrigerator 11 and the heat storage tank 13 to the air conditioner 23 by opening and closing the valves 19 to 21 and operating the pumps 15 to 18. In FIG. 2, “normal air conditioning” is an operation mode in which the air conditioner 23 is operated by supplying cold water from the water-cooled refrigerator 11 without storing heat in the heat storage tank 13.

  “Normal heat storage” is an operation mode in which cold water is not supplied to the air conditioner 23 and heat is stored in the heat storage tank 13 by supplying cold water from the water-cooled refrigerator 11. “Normal heat dissipation” is an operation mode in which the air conditioner 23 is operated by supplying cold water from the heat storage tank 13 without supplying cold water from the water-cooled refrigerator 11.

  “Air-conditioning heat storage” is an operation mode in which the air-conditioner 23 is operated by supplying cold water from the water-cooled refrigerator 11 and heat is stored in the heat-storage tank 13. “Air-conditioning heat radiation” is a mode in which the air-conditioner 23 is operated by supplying cold water from the water-cooled refrigerator 11 and the heat-storage tank 13 without storing heat in the heat-storage tank 12.

  The cooling tower 10, the water-cooled refrigerator 11, the air-cooled HP 12, the heat storage tank 13, the pumps 15 to 18, and the valves 19 to 21 are included in control target devices controlled by the operation control device 3 and the monitoring control device 2.

  In addition, the control object apparatus and energy consumption apparatus shown here are examples, and it is free to use which control object apparatus and energy consumption apparatus are used. Moreover, this embodiment does not exclude a control target device that is not illustrated.

[2. Supervisory control unit]
The monitoring control device 2 is a device that monitors whether or not the energy supply plant 1 is operating normally.

  Moreover, the monitoring control apparatus 2 controls a control object apparatus according to the control setting value based on the driving schedule from the driving control apparatus 3 mentioned later. For example, the monitoring control device 2 causes the control target device to operate in any one of the above operation modes. The monitoring control device 2 performs charge / discharge control of the storage battery 14.

  The operation schedule is information for determining the operation state of the device to be controlled in each time zone of the day. This operation schedule includes an operation stop schedule, a heat storage schedule, and a power storage schedule.

  The operation stop schedule is information for determining the operation stop time and output of the heat source device. The heat storage schedule is information for determining the heat storage time and the heat storage amount of the heat storage tank 13. The storage schedule is information for determining the storage time and storage amount of the storage battery 14.

  The control set value is a set value for operating the control target device based on the operation schedule. This control set value is a parameter that determines the start, operation state, and stop of each control target device.

[3. Operation control device]
The operation control device 3 is a device that controls the operation of the energy supply plant 1 by outputting a control set value based on the operation schedule of the device to be controlled to the monitoring control device 2.

  For creating the operation schedule, operation data of the energy supply plant 1 and weather data are used. Weather data can be acquired from the weather information storage device 4 via the network 5.

  Such an operation control device 3 includes a transmission / reception unit 31, a process data acquisition unit 32, a process data storage unit 33, a model data input unit 34, a model data storage unit 35, a calculation processing unit 36, a calculation result storage unit 37, a control setting. A value output unit 45 is included.

[3-1. Transmitter / receiver]
The transmission / reception unit 31 is a processing unit that transmits / receives information to / from the monitoring control device 2. The transmission / reception unit 31 can also transmit / receive information to / from the outside via the network 5.

[3-2. Process data acquisition unit]
The process data acquisition unit 32 is a processing unit that acquires process data via the transmission / reception unit 31. The process data includes plant data and weather data. The plant data is data indicating the operation results of the control target equipment, energy consuming equipment, etc. acquired from the energy supply plant 1. For example, past cold water and power demand data for each past day is included in the plant data.

  The meteorological data includes past data on past weather acquired from the weather information storage device 4 and forecast data on future weather. For example, the past highest daily temperature, lowest daily temperature, weather, and the like are included in the weather data.

  In addition, the predicted maximum temperature, the predicted minimum temperature, the predicted weather, etc. for each day in the future are also included in the weather data. Plant data and weather data are stored in association with data relating to dates and days of the week, respectively.

[3-3. Process data storage unit]
The process data storage unit 33 is a processing unit that stores the process data acquired by the process data acquisition unit 32.

[3-4. Model data input section]
The model data input unit 34 is a processing unit that inputs model data of the energy supply plant 1. The model data is information indicating the configuration of the energy supply plant 1.

  For example, the data includes a plant model and model parameters of the energy supply plant 1. The plant model is data indicating the components and connection relationships of the energy supply plant 1.

  The model parameter is a parameter indicating the characteristics of the components of the energy supply plant 1. For example, the model parameters include various parameters that are determined according to each device, such as the rating, output band, and capacity of the device to be controlled.

[3-5. Model data storage unit]
The model data storage unit 35 is a processing unit that stores the model data input by the model data input unit 34.

[3-6. Arithmetic processing unit]
The arithmetic processing unit 36 is a processing unit that obtains an operation schedule and a control set value of the energy supply plant 1 based on the process data and the model data.

  The arithmetic processing unit 36 includes a start instruction unit 38, a demand prediction unit 39, a schedule creation unit 40, a control set value creation unit 41, a power consumption short-term prediction unit 42, a schedule modification determination unit 43, and a schedule modification unit 44.

[3-6-1. Start instruction section]
The start instruction unit 38 is a processing unit that starts execution of demand prediction, schedule creation, control set value creation, and the like by the arithmetic processing unit 36 at a preset timing. For example, when a schedule is created on the day before the execution date, it is conceivable that a predetermined time in one day is set as the set timing. Whether this is done every day, every other day, or at what time can be freely set.

[3-6-2. Demand forecasting department]
The demand prediction unit 39 is a processing unit that predicts demand for a predetermined period of the energy supply plant 1 based on weather data and plant data for a predetermined period stored in the process data storage unit 33. The energy demand here includes, for example, cold water demand and power demand of the energy supply plant 1. The predetermined period is set to one day in this embodiment, but can be set freely such as several days, one hour or several hours, one week or several weeks, one month or several months. Since the prediction period is for creating a schedule to be described later, the period for creating the schedule can be set in the same manner. Further, in the sense that the prediction by the demand prediction unit 39 is repeatedly performed to create a new schedule, the predicted predetermined period can be regarded as a predetermined cycle.

[3-6-3. Schedule creation section]
The schedule creation unit 40 is a processing unit that creates an operation schedule for the device to be controlled. As shown in FIG. 3, the schedule creation unit 40 includes an operation stop schedule creation 401, a peak cut processing unit 402, a heat storage schedule creation unit 403, and a power storage schedule creation unit 404.

(1) Operation stop schedule creation unit The operation stop schedule creation unit 401 creates an operation stop schedule for operating and stopping the heat source device at each time so as to satisfy the cold water demand when the heat storage tank 13 and the storage battery 14 are not used. Is a processing unit. As shown in FIG. 4, the operation stop schedule creation unit 401 includes a priority order determination unit 401a, an operation stop determination unit 401b, and a cold water output determination unit 401c.

(Priority determination part)
The priority determining unit 401a is a processing unit that determines a priority for operating the water-cooled refrigerator 11 and the air-cooled HP 12 that are heat source devices. The priority order is determined based on a cold water production unit price table stored as a model parameter, for example, as shown in FIG.

  The cold water production unit price table is a table showing the price of fuel or electric power necessary for producing a unit heat quantity [kWh] of cold water when each heat source device is operated at a rated value. In FIG. 5, since the water-cooled refrigerator 11 and the air-cooled HP 12 are both electrically operated, the power price is necessary for producing the unit cold water calorific value.

(Operation stop decision part)
The operation stop determination unit 401b is a processing unit that determines an operation stop schedule related to the operation and stop of the heat source device at each time so as to satisfy the cold water demand based on the priority determined by the priority determination unit 401a.

(Cooling water output determination unit)
The chilled water output determining unit 401c is a processing unit that optimizes the distribution of the chilled water output of each heat source device and determines the output of the heat source device for the heat source device that has been operated according to the operation stop schedule determined by the operation stop determining unit 401b. is there. The output of the heat source device is determined based on, for example, a cold water incremental unit price table stored as a model parameter, as shown in FIG.

  The chilled water incremental unit price table is a table showing the price of fuel or electric power necessary for increasing the chilled water output by unit calorie [kWb] at the output of each heat source device. Each heat source device can set a plurality of output bands. A different chilled water unit price can be set for each of the plurality of output bands.

  However, the chilled water unit price at each time must increase monotonously with respect to the output. This is a characteristic of normal heat source equipment. Moreover, the chilled water incremental unit price of the minimum output zone of each heat source device is 0 [yen / kWh]. As long as the heat source device is in operation, the output cannot be zeroed in principle, and there is a minimum output.

(2) Peak cut process part The peak cut process part 402 is a process part which cuts the electric power demand in a demand prediction in an operation stop schedule. This peak cut processing is performed, for example, so that the power demand in the time zone in which the power demand is maximum matches the maximum value of the power demand in other time zones.

  And this peak cut process is repeatedly performed until the reduction amount of cold water output reaches the amount equivalent to the capacity | capacitance of the thermal storage tank 13, or until the reduction amount of electric power reaches the amount equivalent to the capacity | capacitance of the storage battery 14. FIG.

(3) Thermal Storage Schedule Creation Unit The thermal storage schedule creation unit 403 is a processing unit that creates a schedule for thermal storage operation to the thermal storage tank 13 by the heat source device.

  The heat storage schedule is information regarding the time zone in which the heat source device performs the heat storage operation to the heat storage tank 13 and the output of the heat source device in each time zone. As shown in FIG. 4, the heat storage schedule creation unit 403 includes a heat transfer unit 403a, a heat storage capacity determination unit 403b, and a heat storage operation determination unit 403c.

(Heat exchange department)
The heat transfer unit 403a is a processing unit that switches (replaces) a device responsible for cold water demand between the cold water output of the heat source device and the cold water output of the heat storage tank 13. Here, “removal” means switching between whether the heat source device is responsible for cold water demand or whether the heat storage tank 13 is responsible for cold water demand.

(Heat capacity determination part)
The heat storage capacity determination unit 403b is a processing unit that determines whether or not the total chilled water output value peak-cut by the peak cut processing unit 402 exceeds the heat storage capacity of the heat storage tank 13.

(Heat storage operation determination unit)
The heat storage operation determination unit 403c is a processing unit that creates a heat storage operation schedule for the heat storage tank 13 by the heat source device based on the determination result of the heat storage capacity determination unit 403b and the cold water incremental unit price table.

(4) Power Storage Schedule Creation Unit The power storage schedule creation unit 404 is a processing unit that creates a schedule for power storage operation to the storage battery 14. The power storage operation schedule is information related to a time zone in which the storage battery 14 is charged. The power storage schedule creation unit 404 includes a power transfer unit 404a, a power storage capacity determination unit 404b, and a charging operation determination unit 404c.

(Power Exchange Department)
The power transfer unit 404 a is a processing unit that switches (replaces) the power source that bears the power demand between power feeding and discharging of the storage battery 13. Here, “removal” refers to switching between whether the power supply side is responsible for power demand or whether the storage battery 14 is responsible for power demand.

(Storage capacity determination unit)
The storage capacity determination unit 404 b is a processing unit that determines whether or not the total value of the power demand peak-cut by the peak cut processing unit 402 exceeds the storage capacity of the storage battery 14.

(Charging operation decision part)
The charging operation determination unit 404c is a processing unit that creates a power storage schedule for the storage battery 14 based on the determination result of the power storage capacity determination unit 404b and the power unit price for each time period.

[3-6-4. Control setpoint creation section]
The control set value creation unit 41 is a processing unit that creates a control set value based on the operation schedule (operation stop schedule, heat storage schedule, and power storage schedule) created as described above.

  For example, the control set value includes parameters for operating and stopping the pumps 15 to 18 and opening and closing the valves 19 to 21 according to the operation schedule. Further, the control set value includes parameters for determining the output of the water-cooled refrigerator 11 and the air-cooled HP 12 as heat source devices according to the operation schedule, the load factor, and the like.

  Furthermore, the control set value includes parameters for determining the amount of heat stored and heat released from the heat storage tank 13 which is an energy storage device according to the operation schedule, the amount of stored electricity and the amount discharged from the storage battery 14, and the like.

[3-6-5. Power consumption short-term forecasting section]
The power consumption short-term prediction unit 42 is a processing unit that predicts power consumption in a cycle shorter than a predetermined period predicted by the demand prediction unit 39. For example, the power consumption short-term prediction unit 42 predicts the power consumption within a cycle in which the maximum power consumption is measured.

  Generally, since the measurement schedule for integrating power consumption is in units of 30 minutes, as an example, the period may be 30 minutes. The power consumption amount prediction by the power consumption short-term prediction unit 42 is performed based on the actual value of the maximum power consumption measured in the period, as will be described later.

[3-6-6. Schedule correction determination unit]
The schedule correction determination unit 43 is a processing unit that determines whether to correct the driving schedule. The determination by the schedule correction determination unit 43 is performed based on, for example, whether or not the predicted value of power consumption by the power consumption short-term prediction unit 42 exceeds the maximum power consumption in the cycle in the operation schedule.

[3-6-7. Schedule correction part]
The schedule correction unit 44 is a processing unit that corrects the driving schedule. The schedule correction unit 44 corrects the operation schedule of the heat storage tank 13 or the storage battery 14 so that the predicted power consumption amount of the power consumption short-term prediction unit 42 does not exceed the maximum power consumption amount of the operation schedule.

[3-7. Calculation result storage unit]
The calculation result storage unit 37 is a processing unit that stores the control set value created by the control set value creation unit 41.

[3-8. Control set value output section]
The control set value output unit 45 is a processing unit that outputs the control set value created by the control set value creation unit 41 and stored in the calculation result storage unit 37 to the monitoring control device 2.

  Although not shown, the operation control device 3 includes a setting storage unit that stores various settings. For example, the time when the start instruction unit 38 instructs the execution of processing, the period when the demand prediction unit 39 predicts demand, the schedule creation unit 40 creates an operation schedule, the period when the power consumption short-term prediction unit 42 makes predictions, and the like. The setting storage unit stores it.

  The operation control device 3 and the monitoring control device 2 are independent or common, respectively, input of information necessary for processing of each unit, input unit for inputting processing selection and instructions, interface for information input, processing result And so on.

  The input unit includes input devices that can be used now or in the future, such as a keyboard, a mouse, a touch panel, and a switch. The input unit can also fulfill the functions of the process data acquisition unit 32 and the model data input unit 34 described above.

  The output unit includes any output device that can be used now or in the future, such as a display device and a printer. The output unit can also fulfill the function of the control set value output unit 45 described above. The operator can refer to the data stored in the process data storage unit 33 and the model data storage unit 35 by displaying the data on the output unit.

[B. Action]
The operation of the present embodiment as described above will be described with reference to FIGS.

[1. Scheduled arithmetic processing]
A scheduled calculation process performed by the calculation processing unit 36 at a preset time will be described. The process described below creates an operation schedule for a predetermined period in the future. For example, the arithmetic processing unit 36 creates a 24-hour operation schedule for the next day of the energy supply plant 1 once a day at a predetermined time.

[1-1. Overview of processing]
An outline of the scheduled calculation process will be described with reference to the flowchart of FIG. First, according to the start instruction from the start instruction unit 38, the demand prediction unit 39 predicts the energy demand of the building 22 (step 701).

  The schedule creation unit 40 creates an operation schedule of the control target device based on the energy demand prediction value by the demand prediction unit 39 (step 702). The control set value creation unit 41 creates a control set value based on the created operation schedule (step 703).

  The calculation result storage unit 37 stores the created control setting value (step 704). The control set value output unit 45 outputs the created control set value to the monitoring control device 2 (step 705).

[1-2. Demand forecast processing]
An example of the energy demand prediction process by the demand prediction unit 39 will be described with reference to the flowchart of FIG. As described above, the energy demand includes cold water demand and power demand.

  As the actual demand data for prediction, the actual cold water demand and electric power demand according to the predicted energy demand are used. Further, the predicted date in the following description is a date on which an operation schedule is created. Note that the following prediction processing method is an example, and the present embodiment is not limited to this, and any other method can be used.

First, the demand prediction unit 39 calculates parameters a ₀ and a ₁ of a regression model such as the following equation (1) using the demand record data and weather data read from the process data storage unit 33 (step S801). . The parameters a ₀ and a ₁ are determined by the least square method for each day mode such as weekdays and holidays.

Further, as a model representing the relationship between the maximum / minimum temperature and the maximum / minimum power, a multiple regression model as shown in the following equation (2) can be used. The parameters a ₁₀ , a ₁₁ and a _{12 in} this case are also determined by the least square method for each day of the week mode such as weekdays and holidays.

  Next, the demand prediction unit 39 uses the calculated regression model parameter and the weather forecast data read out from the process data storage unit 33 to calculate the maximum energy for each consumer according to any of the following formulas (3) and (4). A predicted value of demand is calculated (step S802). In this case, the parameter that matches the day mode of the prediction date is used.

  Further, the demand prediction unit 39 uses the weather data and weather forecast data read from the process data storage unit 33 to search the past data for the date closest to the predicted date (step S803).

The search is performed from the days matching the day of the week mode such as weekdays and holidays. Closeness of day is measured by the search index granted by date of each data is selected date index value I _x indicating the degree of approximation is determined by the following equation (5) is minimized. When there are a plurality of days for which the index value I _x is minimum, for example, the day closest to the prediction date may be selected.

Finally, the demand prediction unit 39 uses the calculated predicted value of the maximum energy demand and the retrieved similar date to calculate the energy demand predicted value Y _t on the predicted date according to the following equation (6). (Step S804). y _t is the actual demand value of similar date.

FIG. 9 is a diagram showing the relationship between the data for calculating the demand forecast value Y _t at each time in the demand forecast data creation process. That is, as shown in Expression (6), the demand actual value y _t on the similar day at each time is multiplied by the ratio of the maximum demand predicted value Y _{max to} the maximum demand actual value y _max on the similar day.

[1-3. Operation schedule creation process]
The process in which the schedule preparation part 40 produces an operation schedule is demonstrated with reference to the flowchart of FIG.10 and FIG.11, the graph of FIGS. 12-24, and the table | surface of FIG.25 and FIG.26.

(1) Priority Order Determination Process First, the priority order determination unit 401a of the operation stop schedule creation unit 401 determines the startup priority order of the heat source equipment using the cold water production unit price table (step S1001).

  The priority order determination unit 401a increases the priority order of heat source devices having a lower cost of cold water production so that the heat source devices start with a lower cost of cold water production. For example, in the chilled water production unit price table shown in FIG. 5, the water-cooled refrigerator 11 has priority 1 and the air-cooled HP 12 has priority 2 in all time zones.

(2) Operation stop determination process Next, when the operation stop determination part 401b of the operation stop schedule preparation part 401 does not use the heat storage tank 13 and the storage battery 14 according to the determined starting priority order, it is heat source equipment required at each time Is determined to be stopped (step S1002).

  That is, the operation stop determination unit 401b determines the operation and stop of the heat source device according to the priority order so as to satisfy the cold water demand predicted by the demand prediction unit 39.

  An example of the operation stop of the heat source device when the heat storage tank 13 and the storage battery 14 are not used is shown in FIG. In this example, the operation stop is determined so that the cold water demand can be covered by two heat source devices (water-cooled refrigerator 11 and air-cooled HP 12).

  When the cold water demand is equal to or less than the maximum output 600 kW of the water-cooled refrigerator 11 having a high startup priority, the water-cooled refrigerator 11 alone is operated. When the cold water demand exceeds 600 kW, the water-cooled refrigerator 11 and the air-cooled HP 12 are operated.

(3) Chilled water output determination process Moreover, the chilled water output determination part 401c of the operation stop schedule preparation part 401 determines a chilled water output about the heat-source apparatus which is driving | operation (step S1003).

  The determination of the chilled water output by the chilled water output determination unit 401c is performed by optimizing the distribution of the chilled water output of each heat source device using the chilled water incremental unit price table. For example, the chilled water output determination unit 401c assigns outputs in order from the output zone with the smallest chilled water incremental unit price of the heat source device in the chilled water incremental unit price table illustrated in FIG.

  FIG. 13 shows an example in which the cold water output of the operation stop schedule of the heat source device when the heat storage tank 13 and the storage battery 14 are not used is optimized. In this example, the output band of the water-cooled refrigerator 11 is divided into the following [1] to [3]. In this water-cooled refrigerator 11, the output bands [1] to [3] are set to increase in level by 200 kW.

  The output band of the air-cooled HP 12 is divided into the following [1] to [3]. In the air-cooled HP 12, the output bands [1] to [3] are set to increase in level by 100 kW.

  For example, in the example of FIG. 13, at 8:00, only the water-cooled refrigerator 11 operates with respect to the cold water demand of 400 kW. For this reason, a total of 400 kW of the output band [1] + [2] = 200 kW + 200 kW of the water-cooled refrigerator 11 is allocated for this time.

  At 10 o'clock, the water-cooled refrigerator 11 and the air-cooled HP 12 are operated for a cold water demand of 700 kW. For this reason, a total of 700 kW of the output band [1] + [2] + [3] = 200 kW + 200 kW + 200 kW = 600 kW of the water-cooled refrigerator 11 and the output band [1] = 100 kW of the air-cooled HP 12 is allocated for this time.

(4) Heat storage / power storage schedule creation process As described above, since the operation stop schedule of the heat source device when the heat storage tank 13 and the storage battery 14 are not used is created, the peak cut processing unit 402 of the schedule creation unit 40, the heat storage schedule The creation unit 403 and the power storage schedule creation unit 404 create a heat storage / power storage schedule. Such heat storage / storage schedule creation processing will be described with reference to the flowchart of FIG.

(Create heat storage schedule)
First, the peak cut processing unit 402 executes peak cut processing of the created operation schedule (S1101). That is, the peak cut processing unit 402 cuts the power demand total value in the maximum power demand time zone so as to coincide with the maximum value of the power demand total values in other time zones.

  FIG. 14 is a graph showing an example of power demand and power of heat source equipment. Note that the power demand in FIG. 14 is a power demand in a narrow sense that is required in energy consuming equipment. The power demand total value that combines the power demand in the narrow sense and the power demand required for the power of the heat source device is the power demand in the broad sense.

  The power demand in each time zone required for the power of the heat source device in FIG. 14 corresponds to the operation schedule of the heat source device shown in FIG. In the example shown in FIG. 14, the maximum power demand time zone is 14:00. For this reason, the peak cut process part 402 cuts so that the power demand total value at 14:00 may become the same as 15:00 which is the maximum value of the power demand total value of another time slot | zone.

  Next, the heat transfer unit 403a of the heat storage schedule creation unit 403 switches the chilled water output of the heat source device corresponding to the power demand cut by the peak cut process to the chilled water output of the heat storage tank 13 (step S1102).

  The heat storage capacity determination unit 403b of the heat storage schedule creation unit 403 determines whether or not the total value of the chilled water output of the changed heat storage tank 13 exceeds the heat storage capacity of the heat storage tank 13 (step S1103).

  If the total value of the cold water output of the heat storage tank 13 does not exceed the heat storage capacity of the heat storage tank 13 (NO in step S1103), the process returns to step S1101 again, and the peak cut unit 402 executes the peak cut process.

  An example of the peak cut process according to the heat storage capacity of such a heat storage tank 13 is shown in the graphs of FIGS. FIGS. 15-18 shows the change of the cold-water output of the heat-source apparatus by repeating a peak cut. (1) to (4) in FIGS. 15 to 18 show changes in the chilled water output (indicated by kWh) of the heat source device corresponding to the peak cuts of (1) to (4) in FIG.

  For example, as shown in FIG. 15, the peak cut unit 402 cuts the portion of the output 140 kWh of (1) at 14:00 in FIG. The heat transfer unit 403 a changes the cold water output of the 140 kWh heat source device to the cold water output of the heat storage tank 13. Since the heat storage capacity of the heat storage tank 13 is 2000 kWh, the heat storage capacity determination unit 403b determines that the chilled water output total value 140 kWh does not exceed the heat storage capacity.

  Next, the peak cut unit 402 cuts the portion of the output 303 kWh of (1) + (2) at 14:00 and 15:00 in FIG. The heat transfer unit 403 a changes the output of the heat source device of 303 kWh to the cold water output of the heat storage tank 13. Since the heat storage capacity of the heat storage tank 13 is 2000 kWh, the heat storage capacity determination unit 403b determines that the chilled water output total value 303 kWh does not exceed the heat capacity.

  Subsequently, the peak cut unit 402 cuts the portion of the output 1087 kWh of (1) + (2) + (3) from 13:00 to 15:00 in FIG. The heat transfer unit 403 a changes the output of the heat source device of 1087 kWh to the cold water output of the heat storage tank 13. Since the heat storage capacity of the heat storage tank 13 is 2000 kWh, the heat storage capacity determination unit 403b determines that the chilled water output total value 1087 kWh does not exceed the heat capacity.

  Furthermore, the peak cut part 402 cuts the part of the cold water output 2130 kWh of (1) + (2) + (3) + (4) from 10:00 to 16:00 in FIG. The heat transfer unit 403 a changes the output of the heat source device of 2130 kWh to the cold water output of the heat storage tank 13. Since the heat storage capacity of the heat storage tank 13 is 2000 kWh, the heat storage capacity determination unit 403b determines that the chilled water output total value 2130 kWh exceeds the heat capacity.

  When the heat storage capacity determination unit 403b determines that the total value of the chilled water output from the heat storage tank 13 has exceeded the heat storage capacity (YES in step S1103), the heat transfer unit 403a extracts the excess chilled water output portion from the heat source device. It returns to the cold water output (step S1104). In this case, the heat transfer unit 403a adjusts the maximum power demand to be flat.

  FIG. 19 shows an example of processing in which the heat transfer unit 403a returns the chilled water output portion that has exceeded the heat storage capacity to the chilled water output from the heat source device. FIG. 19 shows the cold water output of the heat source device. The heat transfer unit 403a equally distributes the excess cold water of 130 kWh to the cold water output of the heat source device at 10 o'clock, 11 o'clock, 13 o'clock, and 16 o'clock so that the maximum power demand becomes flat.

  An example of the electric power demand obtained as a result is shown in FIG. In FIG. 20, it can be seen that the power peak is flat except for 14:00. When the water-cooled refrigerator 11 is in operation, the output cannot be reduced to zero, and the output always exists.

  The value at 14:00 in FIG. 20 needs to operate the water-cooled refrigerator 11 in the output band [1], and is the total value of the minimum output that is always output when operating and the power demand. For this reason, the value at 14:00 cannot be changed in the heat storage tank 13, and is larger than other time zones.

  As described above, the peak cut using the heat storage tank 13 is terminated. Then, the heat storage operation determination unit 403c of the heat storage schedule creation unit 403 creates a heat storage operation schedule for the heat source device operated during the heat storage operation and its output (step 1105). The heat storage operation schedule is created by increasing the output of the operating heat source device in ascending order of the cold water incremental unit price according to the cold water incremental unit price table.

  And the thermal storage capacity determination part 403b determines whether the output total value of the increased heat source apparatus exceeded the thermal storage capacity (step S1106). When not exceeding (NO of step S1106), it returns to step S1105 again, and the heat storage operation determination part 403c increases the output of the heat-source equipment in operation in order with a small chilled water increment unit price.

  At this time, the output band of the heat source device will be increased, and the operating time band is determined by a method such as first packing or last packing for the increase. First-order means to assign first from an earlier time zone. “Right-justified” refers to assigning from a later time zone.

  Note that the heat storage operation determination unit 403c starts the stopped heat source device according to the priority order and increases the operation schedule according to the cold water incremental unit price when the increase in the output of the heat source device during operation does not satisfy the heat storage capacity of the heat storage tank 13. To decide. At this time, the operation time zone is determined by a method such as pre-packing or post-packing for a time zone having the same unit price for cold water.

  An example of a heat storage operation schedule creation process will be described with reference to FIGS. 21 and 22. FIG. 21 shows the heat storage operation by the output band [2] of the water-cooled refrigerator 11, and FIG. 22 shows the heat storage operation by the output bands [2] and [3] of the water-cooled refrigerator 11. The cold water incremental unit price table illustrated in FIG. 5 is used.

  Among the heat source devices in operation, the output unit [2] of the water-cooled refrigerator 11 from 22:00 to 7:00 has the smallest chilled water incremental unit price. For this reason, the heat storage operation determination unit 403c increases the output band [2] of the water-cooled refrigerator 11 during this time period to the maximum output.

  The total value of the increased chilled water output is 1750 kWh as shown in FIG. This value does not exceed the heat storage capacity. For this reason, the heat storage operation determination unit 403c assigns the output of the output band [3] of the water-cooled refrigerator 11 in the last order.

  That is, the heat storage operation determination unit 403c assigns the output band [3] of the water-cooled refrigerator 11 in order of 7 o'clock, 6 o'clock, 5 o'clock and 200 kW in sequence, and assigns 4 o'clock to 2550 kWh, thereby storing the heat storage capacity. ÷ Efficiency exceeds 0.8 = 2500 kWh. For this reason, the heat storage operation determination unit 403c sets the 4 o'clock allocation to 150 kW and ends the heat storage operation schedule creation process.

(Create power storage operation schedule)
First, the peak cut process part 402 performs the peak cut process of the maximum power demand time zone with respect to the power demand total value after performing the peak shift process by the heat storage tank 13 (step S1107). This peak cut processing method cuts the power demand total value in the maximum power demand time zone to coincide with the maximum value of the power demand total value in other time zones, similarly to the peak shift by the heat storage tank 13.

  The power transfer unit 404a of the power storage schedule creation unit 404 switches the cut power to the discharged power from the storage battery 14 (step S1108). The storage capacity determination unit 404b determines whether the total value of the discharged power from the storage battery 14 exceeds the capacity of the storage battery 14 (step S1109).

  If the total value of the discharged power from the storage battery 14 does not exceed the capacity of the storage battery 14 (YES in step S1109), the process returns to step S1107 again, and the peak cut processing unit 402 performs peak cut in the maximum power demand time zone. Execute the process. And the electric power change part 404a changes the cut electric power to the discharge electric power from the storage battery 14 (step S1108).

  If the total peak cut power exceeds the storage battery capacity (NO in step S1109), the power transfer unit 404a returns the excess power to the power demand so that the power demand becomes flat (step S1110). ). Thus, the peak cut using the storage battery 14 is complete | finished.

  Finally, the charging operation determination unit 404c creates a power storage schedule for the storage battery 14. The power storage schedule to the storage battery 14 is preferentially assigned to the charging time from the time zone with a small power unit price (step S1111).

  Then, the storage capacity determination unit 404b determines whether or not the total value of the assigned charging power exceeds the storage capacity (step S1112). When not exceeding (NO of step S1112), it returns to step S1111 again and the charge driving | operation determination part 404c allocates charging power in the time slot | zone with a small electric power unit price.

  When the total value of the assigned charging power exceeds the storage battery capacity (YES in step S1112), the power transfer unit 404a returns the excess power to the power demand so that the power demand becomes flat (step S1113).

  An example of a process for creating a charging operation schedule for the storage battery 14 will be described with reference to FIGS. 23 and 24. (1) and (2) of FIG. 23 have shown the part which performs the peak cut process by the storage battery 14 to the electric power demand after performing the peak cut process by the heat storage tank 13, and the motive power of a heat source apparatus. FIG. 24 shows the addition of charging / discharging of the storage battery 14. In this example, the storage battery capacity is 200 kWh.

  First, the peak cut processing unit 402 performs (1) 20 kWh peak cut in FIG. The storage capacity determination unit 404b determines that the power of 20 kWh to be switched by the power switching unit 404a does not exceed the storage battery capacity. Therefore, the peak cut processing unit 402 performs the following (2) 180 kWh peak cut.

  Next, the charging operation determination unit 404c is 22.5 kW × 6h = 6 hours from 0 o'clock to 3 o'clock, 22:00, and 23:00 so that the total power demand value 190 kW coincides with 212.5 kW at 4 o'clock. Set to charge 135 kWh.

  135 kWh is less than storage battery capacity 200 kWh ÷ efficiency 0.9 = 222.2 kWh. For this reason, the charging operation determination unit 404c sets the power demand total value 212.5 kWh in each time zone for 7 hours from 0 o'clock to 4 o'clock, 22:00, and 23:00 to 220 kW at 5 o'clock. 5 kWh × 7 h = 52.5 kWh charging is set.

  The amount of charge is 135 kWh + 52.5 kWh = 187.5 kWh. The storage capacity determination unit 404b determines that the capacity of the storage battery 14 is not yet reached. For this reason, as shown in FIG. 24, the charging operation determination unit 404c sets the charging of 10 kWh × 9h = 90 kWh, in which the minimum power demand 220 kW from 2:00 to 6:00, 22:00 to 0:00 becomes 230 kW at 21:00. .

  As a result, 187.5 kWh + 90 kWh = 277.5 kWh. In the case of this charge amount, the storage capacity determination unit 404b determines that the storage battery capacity is exceeded. Therefore, the charging operation determination unit 404c allocates the excess 55.3 kWh to 9h, subtracts it from the charging power, and determines the storage schedule of the storage battery 14.

  The schedule creation unit 40 creates the operation stop schedule of the control target device, the heat storage schedule of the heat storage tank 13, and the power storage schedule of the storage battery 14 by the processing procedure as described above.

[1-4. Create control settings]
The control set value creation unit 41 creates a control set value for the device to be controlled according to the operation stop schedule (step S703).

  Here, the process of creating the control set value will be described with reference to FIGS. 25 shows the operation mode No. shown in FIG. It is a table | surface which shows the relationship between 1-5 and the driving | running state of cold water demand, the water cooling refrigerator 11, and the thermal storage tank 13. FIG. FIG. 26 is a table showing operation modes corresponding to the operation schedule created by the schedule creation unit 40.

  For example, when the heat source device is operated in a time zone when there is no cold water demand and the heat storage tank 13 is storing heat, the corresponding operation mode is No. 2 is a normal heat storage mode. FIG. 26 is a diagram illustrating an example of an operation schedule of the heat source device and an operation mode of the corresponding energy supply plant 1.

  The control set value creation unit 41 determines the operation mode of the energy supply plant 1 with respect to the operation schedule of the heat source device of FIG. 26 according to the table of FIG. Thereby, the operation schedule of the heat source device created by the schedule creation unit 40 can be realized as a specific operation method of the energy supply plant 1.

[1-5. Storage and output of control set values]
The calculation result storage unit 37 stores the created control setting value (step S704), and the control setting value output unit 45 refers to the control setting value in the calculation result storage unit 37 and indicates an instruction corresponding to the current time. Is output to the monitoring control device 2.

  Through the above processing, the monitoring control device 2 can realize an operation in which the peak power is reduced with respect to the energy supply plant 1.

  Various control set value output timings are conceivable. For example, the output timing is set to the day before the execution date of the operation schedule, and the control setting value received by the monitoring control device 2 is held. And the monitoring control apparatus 2 may perform control based on control information on an execution day.

[2. Schedule correction processing]
As described above, based on the operation schedule created on the previous day, the control target device of the energy supply plant 1 starts actual operation on the day of execution.

  Here, the operation of the operation control device 3 when the operation schedule is changed on the day when the control target device is operating will be described with reference to the flowchart of FIG. In addition, since the basic process after schedule correction is the same as the process for creating the operation schedule, the description is simplified.

  The process described below is a fixed cycle calculation executed every cycle (for example, 30 minutes) for measuring the maximum power consumption of the energy supply plant 1. In this process, the operation schedule of the energy supply plant 1 created or modified in the past is modified so that the maximum power consumption does not become larger than the target value.

  First, the power consumption short-term prediction unit 42 predicts the amount of power within the period for measuring the maximum power consumption (step S2701). This prediction is performed by, for example, the following expression 7.

  Next, the schedule correction determination unit 43 determines whether or not the operation schedule needs to be corrected (step S2702). Whether or not the schedule needs to be corrected is determined based on whether or not the predicted power consumption value in the next cycle of measuring the maximum power consumption exceeds the maximum power consumption amount of the operation schedule of the energy supply plant 1 created by the schedule creation unit 40. .

  FIG. 28 shows the relationship between the predicted power consumption P (tilde) predicted from the actual power consumption value P (t) and the maximum power consumption P (bar) within the period of measuring the maximum power consumption. .

  When the schedule correction determination unit 43 determines that the schedule need not be corrected (NO in step S2702), the correction process ends. When the schedule correction determination unit 43 determines that the schedule needs to be corrected (YES in step S2702), the schedule correction unit 44 corrects the operation schedule (step 2703).

  This correction is performed by correcting one or both of the heat storage schedule of the heat storage tank 13 and the power storage schedule of the storage battery 14 so that the predicted power consumption value P (tilde) does not exceed the maximum power consumption P (bar). .

  In addition, the control set value creating unit 41 creates a control set value for the energy supply plant 1 by the same method as the above-described fixed time process (step S2704). That is, a parameter for operating the control target device is created based on the corrected operation schedule.

  Subsequent storage and output processing of the control set value is the same as described above. That is, the calculation result storage unit 37 stores newly created control setting values. Then, the control set value output unit 45 refers to the control set value stored in the calculation result storage unit 37 and outputs an instruction corresponding to the current time to the monitoring control device 2.

  With the above processing, the monitoring control device 2 can realize an operation in which the peak power is reduced with respect to the energy supply plant 1 in accordance with the actual operation state.

[C. effect]
According to the present embodiment as described above, the operation schedule is created so that the peak is minimized as viewed from the entire received power, rather than simply reducing the power consumption in the time period when the power demand is at the peak. be able to.

  In particular, until the amount of cut corresponding to the capacity of the energy storage device such as the heat storage tank 13 or the storage battery 14 is reached, the peak time zone in which the demand is maximum is reduced so as to coincide with the maximum demand in other time zones. To go.

  For this reason, since it reduces sequentially and flattenes from the time zone with high demand, it is prevented that a high peak arises in time zones other than the time zone to reduce compared with other time zones. It is possible to reduce the concentration of demand in the peak time zone and the surrounding time zone.

  In general, in the energy supply plant 1, the capacity of the heat storage tank 13 is larger than the capacity of the storage battery. For this reason, in this embodiment, the operation schedule of the heat storage tank 13 is created first, and then the operation schedule of the storage battery 14 is created. Thereby, the main peak shift calculation can be performed in the heat storage tank 13 and the schedule for performing minute adjustments in the storage battery 14 can be calculated.

  On the other hand, the storage battery 14 is suitable for fine adjustment because the output can be easily changed. And although the storage battery 14 is expensive compared with the thermal storage tank 13, since it is easy to add it later, it is easy to add to the existing installation.

  In addition, as a heat source device such as the water-cooled refrigerator 11 or the air-cooled HP 12 to be operated, an operation schedule is created that gives priority to a device with a low heat production unit price based on the cold-production unit price table. For this reason, it is possible to minimize the operation cost while minimizing the peak power.

  In addition, even when there is a difference between the predicted value of the previous day and the operation state of the control target device on the current day, the operation schedule can be corrected, and optimal operation that is more realistic can be performed.

  In particular, since the maximum power consumption of the operation schedule is corrected so that the predicted value of power consumption does not exceed it, efficient operation is possible while suppressing the procurement of energy such as additional received power. Furthermore, since the correction is performed in a short period within the measurement period of the power consumption, the deviation between the predicted value and the operation state can be minimized.

  In the present embodiment, control such as reducing power consumption is not performed for energy consuming devices such as the air conditioner 23 and the lighting 24. Therefore, inconvenience is not imposed on consumers, users, etc., and peak power can be minimized.

[D. Other Embodiments]
The present embodiment is not limited to the above aspect, and the aspects exemplified below can also be configured.

(1) For example, the control target devices used in the energy supply plant are not limited to those exemplified in the above embodiment. For example, a CGS (Co-Generation System), an absorption chiller / heater, a solar water heater, or the like can be used as the heat source device.

  CGS is a system that can use exhaust heat along with power generation by an internal combustion engine or an external combustion engine. This CGS is a combined heat and power supply system that generates power using gas as an energy source and can use exhaust heat. A fuel cell may be used as the heat source.

  An absorption chiller / heater is a device that supplies cold water or hot water between a refrigerant condenser and an evaporator through absorption of water vapor and a regeneration process using a heat source. As the energy of the heat source, exhaust heat from gas, CGS, solar water heater or the like can be used.

  The solar water heater is a water heater that supplies hot water using solar heat. Along with the air-cooled HP, water-cooled refrigerator, and heat storage tank, the CGS, absorption chiller / heater, and solar water heater can supply hot and cold water for the air conditioner.

  The air conditioner can also be heated by hot water generated by any of CGS, air-cooled HP, absorption chiller / heater, and solar water heater.

  Furthermore, as a power source for supplying power to the energy supply plant, various power generation devices such as CGS, a fuel cell, a solar power generation device, and a wind power generation device can be used. Thereby, the received power can be greatly reduced.

(2) This embodiment is suitable for BEMS (Building Energy Management System), which is a system for managing control target equipment installed in a predetermined building such as a building. However, the installation position of the control target device is not limited to a single building or a plurality of buildings, and may include the outdoors. That is, it can be widely applied as an EMS (Energy Management System) for controlling a control target device installed in a predetermined area.

(3) The operation control device, the monitoring control device, and the like can be realized by controlling a computer including a CPU with a predetermined program. The program in this case realizes the processing of each unit as described above by physically utilizing computer hardware.

  A method, a program, and a recording medium that records the program for executing the processing of each unit described above are also one aspect of the embodiment. Moreover, how to set the range processed by hardware and the range processed by software including a program is not limited to a specific mode. For example, any one of the above-described units can be configured as a circuit that realizes each process.

(4) Each processing unit, storage unit, and the like described above may be realized by a common computer, or may be realized by a plurality of computers connected by a network. For example, the process data storage unit and the model data storage unit may be configured in a server connected to the optimization processing unit via a network.

  Furthermore, as shown in FIG. 29, the operation control device 3 installed remotely may be connected to the information communication device 6 provided in the building where the control target device is installed via a network N2. Is possible. The information communication device 6 can be configured by a personal computer, a control panel, or the like.

  The information communication device 6 includes, for example, a transmission / reception unit 61, a control information output unit 62, a display unit 63, and an input unit 64. The transmission / reception unit 61 is a processing unit that transmits and receives information to and from the operation control device 3. For example, the transmission / reception unit 61 can receive an operation schedule including control information from the operation control device 3 and transmit a priority order and an operation schedule selection instruction to the operation control device 3.

  The control information output unit 62 is a processing unit that outputs control information such as control setting values to the monitoring control device 2 connected via the network N1. The display unit 63 is a processing unit that displays the received operation schedule including the control set value. The input unit 64 is a processing unit that inputs a priority order, an operation schedule selection instruction, and the like. The display unit 63 and the input unit 64 have functions as the output unit, the process data acquisition unit, and the model data input unit.

  Further, on the customer side, there is only a receiving unit that receives the control information output from the operation control device 3, and the monitoring control device 2 is controlled based on the control information received by the receiving unit. It is also possible to do.

  As described above, for example, an embodiment in which the operation control device 3 is realized by a single or a plurality of servers configured in a place remote from the control target device via the network N2 as in cloud computing is also performed in this embodiment. It is one mode of a form. As a result, the equipment on the customer side can be simplified and the introduction cost can be saved, leading to the promotion of popularization.

(5) Each data storage area stored in the process data storage unit, the model data storage unit, and the setting storage unit can be configured as a storage unit for each data. Typically, these storage units can be configured by various built-in or externally connected memories, hard disks, and the like.

  However, any storage medium that can be used now or in the future can be used as the storage unit. A register or the like used for calculation can also be regarded as a storage unit. The mode of storage includes not only a mode in which memory is stored for a long time but also a mode in which data is temporarily stored for processing and deleted or updated in a short time.

(6) The specific contents and values of the information used in the embodiment are free and are not limited to specific contents and numerical values. In the embodiment, in the determination of the magnitude with respect to the threshold value, the determination of coincidence / mismatch, etc., it is determined that the value is included as the above, below, or the value is greater than, less than, over, not over, over, under It is also free to decide not to include.

  Thus, for example, depending on the value setting, “greater than” becomes “greater than”, “greater than”, “greater than”, and “less than” becomes “less than”, “not over”, “less than”, “less than” Even if it reads, it is substantially the same.

(7) Although several embodiments of the present invention have been described, these embodiments are presented as examples and are not intended to limit the scope of the invention. These embodiments can be implemented in various other forms, and various omissions, replacements, and changes can be made without departing from the spirit of the invention. These embodiments and their modifications are included in the scope and gist of the invention, and are also included in the invention described in the claims and the equivalents thereof.

DESCRIPTION OF SYMBOLS 1 ... Energy supply plant 2 ... Monitoring control device 3 ... Operation control device 4 ... Weather information storage device 5, N1, N2 ... Network 6 ... Information communication device 10 ... Cooling tower 11 ... Water-cooled refrigerator 12 ... Air-cooled HP
DESCRIPTION OF SYMBOLS 13 ... Thermal storage tank 14 ... Storage batteries 15-18 ... Pump 19-21 ... Valve 22 ... Building 23 ... Air conditioner 24 ... Illumination 31, 61 ... Transmission / reception part 32 ... Process data acquisition part 33 ... Process data storage part 34 ... Model data input Unit 35 ... model data storage unit 36 ... calculation processing unit 37 ... calculation result storage unit 38 ... start instruction unit 39 ... demand prediction unit 40 ... schedule creation unit 41 ... control set value creation unit 42 ... power consumption short-term prediction unit 43 ... schedule Correction determination unit 44 ... Schedule correction unit 45 ... Control set value output unit 62 ... Control information output unit 63 ... Display unit 64 ... Input unit 401 ... Operation stop schedule creation unit 402 ... Peak cut processing unit 403 ... Heat storage schedule creation unit 404 ... Power storage schedule creation unit 401a ... priority determination unit 401b ... operation stop determination unit 401c ... cold water output determination unit 403 ... Netsuji exchange portion 403b ... heat storage capacity determining unit 403c ... thermal storage operation determining unit 404a ... power Jikawa portion 404b ... power storage capacity determining unit 404c ... charging operation determining unit

Claims (8)

A demand prediction unit that creates a predicted value of a demand amount of supplied energy in an energy supply plant that supplies received power and energy from a control target device including a heat source device and an energy storage device to an energy consuming device;
Schedule creation for creating an operation schedule of the control target device so that the peak of received power is reduced based on the predicted value created by the demand prediction unit, the allowable output of the heat source device, and the capacity of the energy storage device And
In accordance with the operation schedule, a control setting value creating unit that creates a control setting value for operating the device to be controlled,
An operation control device for an energy supply plant comprising:   The schedule creation unit has a maximum peak demand in the forecast value created by the demand forecasting unit until the amount of reduction corresponding to the capacity of the energy storage device is reached. The operation control device for an energy supply plant according to claim 1, further comprising a peak cut processing unit that cuts the value so as to coincide with the value. The energy storage device includes a heat storage tank and a storage battery,
The schedule creation unit is configured to create a heat storage schedule for the heat storage tank and a power storage schedule creation unit to create a power storage schedule for the storage battery so as to secure the demand cut by the peak cut processing unit,
Have
The operation control apparatus for an energy supply plant according to claim 1 or 2, wherein the heat storage schedule creation unit creates a heat storage schedule in preference to the power storage schedule creation unit. The schedule creation unit
Only with the heat source device, an operation stop schedule creating unit for creating a schedule for operation stop of the heat source device that satisfies the predicted value of the demand amount,
As a heat source device to be operated, a priority determining unit that gives priority to a heat production unit with a low unit price,
The operation control device for an energy supply plant according to any one of claims 1 to 3, wherein: A power consumption short-term prediction unit for obtaining a predicted value of power consumption in a cycle shorter than the demand prediction unit,
A schedule correction determination unit that determines whether or not the operation schedule needs to be corrected based on the predicted value of the power consumption;
A schedule correction unit for correcting the operation schedule when the schedule correction determination unit determines that correction is necessary;
The operation control device for an energy supply plant according to any one of claims 1 to 4, characterized by comprising: Whether the predicted value of the power consumption predicted by the power consumption short-term prediction unit exceeds the maximum power consumption of the operation schedule created by the schedule creation unit within the power consumption measurement cycle. Whether or not the operation schedule needs to be corrected,
The operation control device for an energy supply plant according to claim 5, wherein the schedule correction unit corrects the operation schedule so that a predicted value of the power consumption does not exceed the maximum power consumption. A computer or electronic circuit
Demand prediction processing for creating a predicted value of the demand amount of supplied energy in an energy supply plant that supplies received power and energy from controlled devices including heat source devices and energy storage devices to energy consuming devices;
Based on the predicted value created by the energy demand prediction unit, the operation schedule of the control target device is set so that the peak of received power is reduced according to the allowable output of the heat source device and the capacity of the energy storage device. Schedule creation process to create,
In accordance with the operation schedule, a control setting value creating process for creating a control setting value for operating the control target device;
The operation control method of the energy supply plant characterized by performing these. On the computer,
Demand prediction processing for creating a predicted value of the demand amount of supplied energy in an energy supply plant that supplies received power and energy from controlled devices including heat source devices and energy storage devices to energy consuming devices;
Based on the predicted value created by the energy demand prediction unit, the operation schedule of the control target device is set so that the peak of received power is reduced according to the allowable output of the heat source device and the capacity of the energy storage device. Schedule creation process to create,
In accordance with the operation schedule, a control setting value creating process for creating a control setting value for operating the control target device;
An operation control program for an energy supply plant, characterized in that

Images