JP5787162B2 - Operation management device, operation management method, program - Google Patents

Description

  The present invention relates to an operation management apparatus, an operation management method, and a program for managing operation of power supply facilities and loads.

  For example, the power supplied by an electric power company to a consumer such as a facility equipped with a load device such as an air conditioning system or a lighting device is also called a demand. An electric power company needs to prepare a supply facility according to the amount of electric power used most frequently in a customer's facility or the like.

  Therefore, a demand contract is known in which contract power (demand target value) is determined as follows in order to make the burden of expenses for facilities of a plurality of consumers fair. In a demand contract, the demand power used in a facility or the like per a measurement period (hereinafter also referred to as a demand time limit) by a predetermined unit time is measured, and the largest demand power among the measured demand powers is measured. The contract power is determined.

  More specifically, the actual value obtained by averaging the demand power for each 30-minute demand period at the customer's facility, etc. is measured, and the maximum value in the actual measurement value for one month is the maximum demand power (demand Maximum value). Then, the contract power is determined so as not to exceed the larger one of the demand maximum value of the month and the demand maximum value of the previous 11 months.

  The consumer controls the power consumption in the facility so as not to exceed the contract power determined as described above. Such control of power consumption is also referred to as demand control. The following configuration is known as such demand control. That is, based on the actual data of the power consumption integrated value for each environmental condition, the predicted value of the power consumption integrated value for each of a plurality of demand time periods from the current demand time period to the demand time period a predetermined number of times is calculated. And based on the said predicted value and target value, the apparatus which should stop driving | operation is selected and it controls to stop driving | running of the selected apparatus (for example, refer patent document 1).

JP 2008-11618 A

  In the above-mentioned patent document 1, for example, a predicted value of the power consumption integrated value until the previous demand time period is calculated about twice, and based on this calculation result, demand control is performed for each demand time period or for every one minute time interval. Yes. This is equivalent to performing demand control in real time. Real-time demand control has an advantage that it can be easily controlled so as not to exceed the demand target value as compared with demand control based on an operation plan created corresponding to a relatively long time (for example, about one day).

  However, by performing demand control in real time, the operating state such as air conditioning changes frequently and greatly in accordance with the environment at that time. Such a change in the operating state has a problem that, for example, when a facility such as a house or an office is assumed, it is easy to give an unpleasant feeling to a person in the facility.

  Therefore, an object of the present invention is to make sure that demand control for reducing the purchased power to a demand target value or less is more reliably performed while using an operation plan corresponding to a long time.

The present invention has been made to solve the above-described problems, and the operation management device as one aspect of the present invention is the amount of heat required by the air conditioning heat source unit for each predetermined time period in a future fixed period. Each of the air conditioning thermal load prediction unit that predicts the air conditioning thermal load prediction value based on the air conditioning thermal load prediction data and the air conditioning system equipment that forms the air conditioning system for each predetermined time period in the predetermined period in the future Air conditioning system equipment power consumption prediction unit that predicts air conditioning system equipment power consumption prediction value, which is power, based on air conditioning system equipment power consumption prediction data, and a power generation device that outputs at every predetermined time period in the future fixed period A generated power prediction unit that predicts a generated power prediction value that is the power to be generated based on the generated power prediction data, and the future fixed period based on the air conditioning thermal load prediction value An air conditioning heat source unit operation plan creation unit that creates an air conditioning heat source unit operation plan indicating an operation plan of the air conditioning heat source unit at regular intervals, and the predetermined period in the future based on the air conditioning system device power consumption prediction value An air conditioning system equipment operation plan creation unit that creates an air conditioning system equipment operation plan indicating an operation plan for each of the air conditioning system equipment at regular time intervals, the air conditioning heat source machine operation plan, and the air conditioning system equipment operation plan. , A load that predicts a load power prediction value that is a load power of the entire load for each fixed time period in the future fixed period based on load power pattern data for loads other than the air conditioning heat source device and the air conditioning system device Based on at least the predicted power value, the predicted load power value, and the predicted power generation value, And a power source equipment operation schedule creation unit that creates a power supply facility operation plan showing the operation plan of the power supply equipment for each time slot interval, the air-conditioning system equipment operation plan creating unit, to reduce the power purchase power constant below The air conditioning system device is set to set a stop period for stopping the air conditioning system device at a predetermined time and to set a preparatory operation period for operating the air conditioning system device at a predetermined output immediately before the stop period. Create an operation plan .

Moreover, the operation management method as one aspect of the present invention is based on the air conditioning heat load prediction data based on the air conditioning heat load prediction data, which is the amount of heat required by the air conditioning heat source unit for each fixed time period in the future fixed period. Predicting the air-conditioning heat load and predicting the power consumption of the air-conditioning system equipment that is the power consumed by each air-conditioning system equipment forming the air-conditioning system at regular intervals in the future fixed period. Power generation prediction data for generating power generation prediction values, which are power output by the power generation device at every predetermined time period in the future fixed period, and for predicting the power consumption of the air conditioning system equipment based on the power consumption prediction data The generated power prediction step for predicting based on the air conditioning thermal load predicted value based on the air conditioning thermal load predicted value at a predetermined interval in the future fixed period An air conditioning heat source machine operation plan creation step for creating an air conditioning heat source machine operation plan showing an operation plan of the air conditioning heat source machine for each time period, and a time zone at regular intervals in the future constant period based on the air conditioning system equipment power consumption prediction value An air conditioning system equipment operation plan creation step for creating an air conditioning system equipment operation plan showing an operation plan for each air conditioning system equipment, an air conditioning heat source equipment operation plan, the air conditioning system equipment operation plan, and the air conditioning heat source equipment. A load power prediction step of predicting a load power prediction value that is a load power of the entire load for each time slot at a fixed interval in the fixed period in the future based on load power pattern data for a load other than the air conditioning system device; and Based on at least a predicted load power value and the predicted power generation value, a fixed interval in the future fixed period And a power supply facility operation plan generation step of generating power equipment operation schedule showing the operation plan of the power supply equipment for each time zone, the air-conditioning system equipment operation plan creation step, predetermined in order to reduce the power purchase power constant below The air-conditioning system equipment operation plan is set so that a stop period for stopping the air-conditioning system equipment is set according to time, and a preparation operation period for operating the air-conditioning system equipment at a predetermined output immediately before the stop period is set according to a predetermined time. Create

In addition, the program as one aspect of the present invention provides the computer with the air conditioning heat load prediction data, which is the amount of heat required by the air conditioning heat source unit for each predetermined time period in the future fixed period. The air conditioning thermal load prediction step for predicting based on the air conditioning system and the air conditioning system equipment power consumption prediction value, which is the power consumed by each air conditioning system equipment forming the air conditioning system at regular intervals in the future fixed period, is air-conditioned. Air conditioning system equipment power consumption prediction step for predicting based on system equipment power consumption prediction data, and power generation prediction for power generation predicted value that is power output by the power generation device for each predetermined time period in the future fixed period The generated power prediction step for predicting based on the business data, and the predicted value in the future fixed period based on the predicted air conditioning thermal load value. An air conditioning heat source unit operation plan creation step for creating an air conditioning heat source unit operation plan indicating an operation plan of the air conditioning heat source unit for each interval time zone, and a constant value in the future certain period based on the predicted value of power consumption of the air conditioning system equipment Create an air-conditioning system equipment operation plan that shows the operation plan for each air-conditioning system equipment at each interval time zone, and set a stop period to stop the air-conditioning system equipment at a predetermined time in order to reduce the purchased power to a certain level or less And an air conditioning system equipment operation plan creation step for creating the air conditioning system equipment operation plan so as to set a preparatory operation period for operating the air conditioning system equipment at a predetermined output by a predetermined time immediately before the stop period , Air conditioning heat source machine operation plan, the air conditioning system equipment operation plan, the air conditioning heat source machine and the air conditioning system A load power prediction step of predicting a load power prediction value that is a load power of the entire load for each time slot at a fixed interval in the fixed period in the future based on load power pattern data for loads other than equipment; and the load power prediction A power supply facility operation plan creation step of creating a power supply facility operation plan indicating a power supply facility operation plan for each predetermined time period in the future fixed period based on at least the value and the predicted power generation value belongs to.

  ADVANTAGE OF THE INVENTION According to this invention, it becomes possible to perform more reliably the demand control for making electric power purchased into a demand target value or less, according to the operation plan corresponding to a long time.

It is a figure which shows the structural example of the smart grid system in embodiment of this invention. It is a figure which shows the structural example of the operation management apparatus in this embodiment. It is a figure which shows the structural example of the operation plan preparation part in this embodiment. It is a figure which shows the example of an air-conditioning system apparatus power consumption predicted value. It is a figure which shows the example of load equipment power consumption at the time of performing demand control only according to an air-conditioning heat-source-machine operation plan and a power supply equipment operation plan. It is a figure which shows the example of load equipment power consumption at the time of performing demand control according to an air-conditioning heat-source-machine operation plan, an air-conditioning system apparatus operation plan, and a power supply equipment operation plan. It is a flowchart which shows the example of a process sequence which an operation management apparatus performs. It is a flowchart which shows the example of a process sequence which the real-time DR instruction | indication part in an operation management apparatus performs.

<Configuration of smart grid system>
FIG. 1 shows a configuration example of a smart grid system corresponding to an embodiment of the present invention. The smart grid is a power supply system that combines distributed power sources such as photovoltaic power generation and centralized power sources from power companies, and adjusts the balance between supply and demand in real time to provide efficient power supply. System.

  The smart grid system shown in FIG. 1 is a facility owned by a power consumer. In addition, it is assumed that the customer of the smart grid system shown in the figure has a demand contract in order to purchase power from an electric power company. In other words, the demand power used in the equipment, etc. per measurement period (demand time limit, for example, 30 minutes) by a set unit time is measured, and the contract power according to the largest maximum demand power among the measured demand powers (Demand target value) and a charge corresponding to this are set.

  For this reason, the consumer needs to make sure that the purchased power for each demand period does not exceed the demand target value. The smart grid system according to the present embodiment includes a demand control function for controlling the load and power supply equipment so that the purchased power for each demand period does not exceed the demand target value.

  The smart grid system shown in FIG. 1 includes an air conditioning heat source facility 1, a work facility 2, a power supply facility 3, an operation management device 4, a load output control device 5, and a power supply output control device 6. Among these parts, the air conditioning heat source facility 1 and the work facility 2 become loads of electric power supplied by the power supply facility 3. Hereinafter, the air conditioning heat source facility 1 and the work facility 2 are collectively referred to as load facilities. Further, the operation management device 4, the load output control device 5, and the power output control device 6 are parts corresponding to demand control.

  The air conditioning heat source equipment 1 is equipment related to air conditioning. The air conditioning heat source facility 1 includes an air conditioning heat source machine 11, an air conditioning system 12, and a heat circulation mechanism 13.

  The air conditioning heat source unit 11 includes, for example, a heat pump, a gene link, and the like, and performs heating operation for increasing the temperature of the medium filled in the pipe 131 of the heat circulation mechanism 13 and cooling operation for decreasing the temperature of the medium.

  The air conditioning system 12 includes one or more air conditioning system devices. Here, the air conditioner 121, the air conditioner 122, and the package air conditioner 123 are provided as the air conditioner system devices constituting the air conditioner system 12. The external air conditioner 121 takes in outside air in order to adjust the indoor CO2 concentration, and adjusts the temperature of the taken in outside air in accordance with the set temperature and the room temperature. The air conditioner 122 uses the temperature of the medium heated or cooled by the air conditioning heat source device 11 to adjust the outside air taken in by the external air conditioner 121 to the set temperature. The package air conditioner 123 adjusts so that the outside air taken in by the external air conditioner 121 becomes the set temperature independently without using the temperature of the medium heated or cooled by the air conditioning heat source device 11.

  The heat circulation mechanism 13 is a mechanism for circulating heat to each room of the facility where the air conditioning heat source equipment 1 is provided, and includes a pipe 131, a pump 132, and a heat storage tank 133. The pipe 131 is filled with a medium such as liquid or gas, and is stretched around each room of the facility, for example. The pump 132 is for applying a pressure for circulating the medium filled in the pipe 131 to the inside of the pipe 131. The heat storage tank 133 is filled with a medium, and has a function of storing heat by this medium.

  For example, the air conditioning heat source device 11 can convert the amount of heat stored in the heat storage tank 133 into electric power and use it when changing the temperature of the medium filled in the pipe 131. Thus, when using the amount of heat stored in the heat storage tank 133. The air conditioning heat source unit 11 can heat or cool the medium without receiving power supply from the power supply facility 3.

  The work facility 2 includes various work devices provided in the facility. Here, a PC (Personal Computer) 21, a lighting device 22, and an OA (Office Automation) device 23 are shown as examples of work devices in the work facility 2.

  The power supply facility 3 supplies electric power, such as generated power, stored power, and purchased power, to the air conditioning heat source facility 1 and the work facility 2 that are loads. Further, the power supply facility 3 accumulates the generated power and the purchased power in a state where there is a margin in the supplied power. The power supply facility 3 shown in this figure includes a first generator 31, a second generator 32, a storage battery 33, and a power purchase power supply 34 as power supplies.

  The first generator 31 is assumed to be a generator using natural energy such as wind energy or solar energy. The electric power obtained by the power generation by the first generator 31 is not constant because it depends on the weather.

  The 2nd generator 32 assumes generators, such as a gas engine generator and a gas turbine generator, for example. The power generated by the second generator 32 is not affected by the weather and can be adjusted accordingly.

  The storage battery 33 stores the generated power generated by the first generator 31 and the second generator 32 and the purchased power supplied by the purchased power supply 34.

  The power purchase power source 34 is a power source for purchased power purchased by a consumer who uses the smart grid system from an electric power company. It is assumed that a consumer who uses the smart grid system has the above-mentioned demand contract with an electric power company that supplies the purchased power supply 34.

  The operation management device 4 manages the operation of the load equipment (air conditioning heat source equipment 1, work equipment 2) and the power supply equipment 3 so that the purchased power does not exceed the demand target value in response to demand control. For this purpose, the operation management device 4 creates an operation plan corresponding to each of the air conditioning heat source unit 11, the air conditioning system 12, and the power supply facility 3. That is, an air conditioning heat source unit operation plan, an air conditioning system equipment operation plan, and a power supply facility operation plan are created.

  The air conditioning system equipment operation plan does not correspond to the entire air conditioning system 12, but is created for each air conditioning system equipment provided in the air conditioning system 12. In the example of FIG. 1, the air conditioning system equipment operation plan corresponding to each of the external air conditioner 121, the air conditioner 122, and the package air conditioner 123 is created. Further, in the present embodiment, these operation plans correspond to a relatively long time such as one day unit. In addition, the operation plan designates how to operate each target device for each time slot at regular intervals. In addition, a demand time period is assumed as the time interval of the constant interval. The demand time limit is, for example, about 30 minutes.

  The load output control device 5 controls the output of the air-conditioning heat source unit 11 at regular intervals based on the air-conditioning heat source unit operation plan created by the operation management device 4, and is based on the air-conditioning system equipment operation plan. The output of the air conditioning system equipment (external air conditioner 121, air conditioner 122, and package air conditioner 123) is controlled for each time period.

  In addition, the power output control device 6 supplies power to load facilities (air conditioning heat source equipment 1 and work equipment 2) at regular intervals based on the air conditioning heat source machine operation plan created by the operation management device 4. On the other hand, each output electric power of the 1st generator 31, the 2nd generator 32, the storage battery 33, and the power purchase power supply 34 is controlled.

  In this embodiment, in accordance with the operation plan, the outputs of the air conditioning heat source device 11 and the air conditioning system 12 (external air conditioner 121, air conditioner 122, and package air conditioner 123) are controlled in this way, and the power supply of the power supply facility 3 is also controlled. The power output from each is controlled. As a result, demand control is implemented so that the power output from the power purchase power supply 34 (power purchase power) does not exceed the demand target value.

<Configuration of operation management device>
FIG. 2 shows a configuration example of the operation management device 4. The operation management apparatus 4 shown in this figure includes an air conditioning thermal load prediction unit 401, a second storage unit 402, an air conditioning system equipment power consumption prediction unit 403, a second storage unit 404, a generated power prediction unit 405, a third storage unit 406, An operation plan creation unit 407, a communication unit 408, a real time DR (demand response) instruction unit 409, and a data management unit 410 are provided.

  The air-conditioning heat load prediction unit 401 calculates an air-conditioning heat load prediction value that is the amount of heat required by the air-conditioning heat source unit for each time period (for example, demand period) in a certain period in the future (for example, one day (24 hours)). Predict based on air conditioning heat load prediction data. In this prediction, as an example, an air conditioning load prediction method by ANN (Artificial Neural Network) described in Japanese Patent Application Laid-Open No. 2006-78009 can be applied.

  The first storage unit 402 stores the air conditioning heat load prediction data. Specifically, the first storage unit 402 stores weather forecast data 421, load power pattern data 422, and actual power measurement data 423 as air conditioning thermal load prediction data.

  The weather forecast data 421 is data in which weather forecast information updated at a predetermined time of the day is associated with the update time, for example. The weather forecast information for each update time includes the weather, temperature, humidity, probability of precipitation, sunshine duration, and the like predicted at the update time.

  The load power pattern data 422 indicates a pattern according to the passage of time of power consumption for each device in the load facilities (the air conditioning heat source facility 1 and the work facility 2) in one day.

  For example, regarding the equipment in the air conditioning heat source facility 1, even if the air conditioning system 12 is installed in a room of the same size, it depends on the number of people entering the room, the number of air conditioners, the day, etc. Temperature change is different. For example, when a meeting is being held all day, there are many people going in and out, so the room temperature changes throughout the day, and the load power of the air conditioning heat source equipment increases. On the other hand, when there is no plan for a meeting all day, there is little need to maintain the room temperature at a comfortable temperature, and it may be higher than the room temperature (comfort temperature) that can be comfortably in summer, even in winter. The temperature may be lower than the comfortable temperature or may be stopped.

  The load power pattern data 422 for each device in the air-conditioning heat source facility 1 is a pattern of operation settings and set temperatures according to the passage of time per day according to the change in the use state as described above.

  Regarding the work facility 2, the time zone in which many people are active during the day is around 9 o'clock to 20 o'clock, and during this period, most of the equipment in the work facility 2 is operated. For example, since many people are sleeping from 24:00 to 5:00, there are few devices operating in the work facility 2. Therefore, the power consumption increases from 9 o'clock to 20 o'clock compared to the time zone from 24 o'clock to 5 o'clock. Further, comparing holidays and weekdays, more devices are driven in the work facility 2 on weekdays, resulting in higher power consumption. As described above, the power consumption of the equipment in the work facility 2 is likely to change from day to day or from time to day depending on human behavior patterns.

  The load power pattern data 422 for each device in the work facility 2 patterns the fluctuations in the power consumption of the work facility 2 according to the passage of time per day according to the number of work facility devices and the situation of the user. Data.

  The actual power measurement data 423 indicates the actual measurement result of the power consumption consumed by the load facility (the air conditioning heat source facility 1 and the work facility 2) and the actual measurement result of the supply power supplied from the power source facility 3 to the load facility. This actual measurement result includes the actual measurement values of the power consumption and the power supply for each time slot at regular intervals in one day.

  The air-conditioning system equipment power consumption prediction unit 403 uses the air-conditioning system equipment power consumption predicted value, which is the power consumed by each air-conditioning system equipment forming the air-conditioning system, at regular intervals in a future fixed period. Predict based on power prediction data. In correspondence with FIG. 1, the air conditioning system device power consumption prediction unit 403 uses, as the air conditioning system device power consumption predicted value, the predicted power consumption value of the external air conditioner 121, the predicted power consumption value of the air conditioner 122, and the packaged air conditioner. Three of the predicted power consumption values of 123 are predicted. In this prediction as well, an air conditioning load prediction method based on ANN (Artificial Neural Network) described in JP-A-2006-78009 can be applied as an example.

  The second storage unit 404 stores the air conditioning system device power consumption prediction data. Specifically, the second storage unit 404 stores environment measurement data 441, setting condition data 442, and weather forecast data 443 as air conditioning system device power consumption prediction data.

  The actual environment measurement data 441 is formed including actual measurement data of parameters having a correlation with the load power of the air conditioning system equipment. In correspondence with FIG. 1, the environmental measurement data 441 includes, as the air conditioning system equipment, actual measurement data of the external air conditioner 121, actual measurement data of the air conditioner 122, and actual measurement data of the package air conditioner 123.

  As specific examples of actual measurement values included in the actual measurement data of the external air conditioner 121, the following is assumed in the present embodiment. In other words, the measured value of the carbon dioxide concentration of the inside and outside air for each predetermined time period in the past predetermined period, the measured value of the temperature of the inside and outside air for each time period in the past fixed period, and the measured value for each time period in the past fixed period Assume the measured value of the humidity of the inside and outside air and the measured value of the number of people in the building for each time period in the past certain period.

  Moreover, the following is assumed as a specific example of the actual measurement value included in the actual measurement data of the air conditioner 122. In other words, the measured value of the carbon dioxide concentration of the inside and outside air for each predetermined time period in the past predetermined period, the measured value of the temperature of the inside and outside air for each time period in the past fixed period, and the measured value for each time period in the past fixed period Assume the actual measured value of the humidity of inside and outside air, the actual value of the number of people in the building for each time period in the past certain period, the actual value of the air conditioning heat load for each time period in the past certain period, and the like.

  Moreover, the following is assumed as a specific example of the actual measurement value included in the actual measurement data of the package air conditioner 123. In other words, the measured value of the carbon dioxide concentration of the inside and outside air for each predetermined time period in the past predetermined period, the measured value of the temperature of the inside and outside air for each time period in the past fixed period, and the measured value for each time period in the past fixed period Assume the actual measured value of the humidity of inside and outside air, the actual value of the number of people in the building for each time period in the past certain period, the actual value of the air conditioning heat load for each time period in the past certain period, and the like.

  The setting condition data 442 indicates conditions to be set for the external air conditioner 121, the air conditioner 122, and the package air conditioner 123. Specific examples of such conditions include the inside air CO2 concentration and set temperature. The weather forecast data 443 is the same as the weather forecast data 421 described above.

  The generated power prediction unit 405 predicts a generated power predicted value, which is power output from the power generation device, at predetermined time intervals in a future fixed period based on the generated power prediction data. The generated power prediction unit 405 predicts a predicted generated power value for each power generator. In addition, the power generation device here becomes the 1st generator 31, the 2nd generator 32, and the storage battery 33 in the power supply equipment 3 in correspondence with FIG. Therefore, the generated power prediction unit 405 predicts a predicted generated power value for each of the first generator 31, the second generator 32, and the storage battery 33.

  The third storage unit 406 stores the generated power prediction data. Specifically, the third storage unit 406 stores power-related data 461, storage battery-related data 462, and weather forecast data 463 as power generation power prediction data.

  The power-related data 461 is information indicating the maximum value and the minimum value of the output for each power source (the first generator 31, the second generator 32, and the purchased power source 34) other than the storage battery 33 in the power supply facility 3. The storage battery related data 462 stores information indicating a predetermined standard such as the maximum and minimum values of charge / discharge power of the storage battery 33 and the chargeable capacity. The weather forecast data 463 is the same as the weather forecast data 421 described above.

  The operation plan creation unit 407 includes an air conditioning thermal load prediction value predicted by the air conditioning thermal load prediction unit 401, an air conditioning system device power consumption prediction value predicted by the air conditioning system device power consumption prediction unit 403, and a generated power prediction unit 405. An operation plan is created based on the predicted generated power predicted value and the load power pattern data 422 stored in the first storage unit 402.

  As described above, the operation plan creation unit 407 creates an air conditioning heat source unit operation plan, an air conditioning system equipment operation plan, and a power supply facility operation plan as described above. The configuration of the operation plan creation unit 407 will be described later.

  The communication unit 408 outputs the operation plan created by the operation plan creation unit 407 to the load output control device 5 and the power output control device 6. Specifically, the communication unit 408 outputs an air conditioning heat source unit operation plan and an air conditioning system equipment operation plan to the load output control device 5, and outputs a power supply facility operation plan to the power output control device 6.

  The load output control device 5 controls the operation of the air conditioning heat source unit 11 in accordance with the input air conditioning heat source unit operation plan. Moreover, the load output control apparatus 5 controls each operation | movement of the external air conditioner 121, the air conditioner 122, and the package air conditioner 123 according to the input air conditioning system apparatus operation plan. The power supply output control device 6 supplies the load facility with each of the power sources (the first generator 31, the second generator 32, the storage battery 33, and the purchased power source 34) in the power facility 3 according to the input power facility operation plan. Control power.

  The real-time DR instruction unit 409 executes demand control by real-time DR instead of demand control according to the operation plan created by the air conditioning system equipment operation plan creation unit 472. For this purpose, the real-time DR instruction unit 409 monitors the power consumption of the current load equipment (air conditioning heat source equipment 1 and work equipment 2).

  When the power consumption exceeds the demand target value, the real-time DR instruction unit 409 predicts the average power consumption corresponding to a plurality of demand time periods a predetermined number of times (for example, about twice) from the current demand time period. Then, the real time DR instruction unit 409 determines the content of the real time DR control according to the prediction result. That is, the real-time DR instruction unit 409 determines the amount of power to be reduced and how to operate which device in the air-conditioning heat source facility 1 to reduce the power consumption. Then, the real-time DR instruction unit 409 instructs the load output control device 5 according to the determination result. Thereby, the control instruction by the real-time DR is performed to the load output control device 5. The load output control device 5 controls the operating state of the target device in response to this instruction.

  The data management unit 410 manages data stored in the first storage unit 402, the second storage unit 404, and the third storage unit 406. That is, collection and updating of each data to be stored in the first storage unit 402, the second storage unit 404, and the third storage unit 406 are executed.

In the operation management apparatus 4 shown in FIG. 2, the air conditioning heat load prediction unit 401, the air conditioning system equipment power consumption prediction unit 403, the generated power prediction unit 405, the operation plan creation unit 407, the real time DR instruction unit 409, and the data management unit 410. These parts can be realized by the CPU in the computer apparatus executing the program. Further, as hardware of the first storage unit 402, the second storage unit 404, and the third storage unit 406, for example, a storage device such as an HDD (Hard Disc Drive) or a flash memory can be employed.

<Configuration of operation plan creation section>
FIG. 3 shows a configuration example of the operation plan creation unit 407. The operation plan creation unit 407 shown in this figure includes an air conditioning heat source unit operation plan creation unit 471, an air conditioning system equipment operation plan creation unit 472, a load power prediction unit 473, and a power supply facility operation plan creation unit 474.

  The air conditioning heat source unit operation plan creation unit 471 creates an air conditioning heat source unit operation plan based on the predicted air conditioning heat load predicted by the air conditioning heat load prediction unit 401. Specifically, the predicted air conditioning heat load indicates the air conditioning heat load for each time period (demand time period) at regular intervals in one day. Therefore, the air-conditioning heat source unit operation plan creation unit 471 has an air-conditioning heat load and an additional heat amount (the sum of the production heat amount produced by the air-conditioning heat source unit 11 and the heat release amount radiated by the heat storage tank 133) for each of the predetermined time intervals. The operating state of the air conditioning heat source unit 11 is determined so as to be equal. The air-conditioning heat source unit operation plan creation unit 471 creates the operation state of the air-conditioning heat source unit 11 for each fixed time zone determined as described above as an air-conditioning heat source unit operation plan.

  The air conditioning system equipment operation plan creation unit 472 creates an air conditioning system equipment operation plan based on the predicted air conditioning system equipment power consumption predicted by the air conditioning system equipment power consumption prediction unit 403. Here, in preparing the air conditioning system equipment operation plan, the following conditions are used.

  First, in creating an air conditioning system equipment operation plan, a stop period for stopping the corresponding air conditioning system equipment can be set for a predetermined time. It is assumed that the power consumption of the air conditioning system device in this stopped state is “0 W”.

  However, in order to prevent loss of comfort even during the stop period, it is necessary that predetermined conditions such as the internal temperature and the internal humidity satisfy the allowable values. Therefore, it is a condition that a preparatory operation period in which the air conditioning system device is operated at a predetermined output for a predetermined time immediately before the air conditioning system device stop period is set.

  And about the external air conditioner 121, a fully open operation shall be performed in a preparatory operation period. It is assumed that the power consumption is rated during this fully open operation. In addition, the air conditioner 122 is assumed to perform a pre-cooling operation or a pre-heating operation during the preparation operation period. The set temperature or the like during the pre-cooling operation or the pre-heating operation is determined in consideration of, for example, that the temperature during the stop period is within an allowable range. The rated power consumption is also assumed during the pre-cooling operation or the pre-heating operation.

  The predicted value of power consumption of the air conditioning system device indicates the power consumption of the corresponding air conditioning system device for each time zone at regular intervals in the day. Therefore, the air conditioning system equipment operation plan creation unit 472 sets the stop period and the preparatory operation period immediately before it based on the time determined that the power consumption is peak. The air conditioning system equipment operation plan creation unit 472 thus creates an air conditioning system equipment operation plan for each of the external air conditioner 121, the air conditioner 122, and the package air conditioner 123.

  The air conditioning system equipment operation plan for the external air conditioner 121, the air conditioning system equipment operation plan for the air conditioner 122, and the air conditioning system equipment operation plan for the package air conditioner 123 are created individually. Accordingly, individual timing is set for the stop period and the preparatory operation period of the external air conditioner 121, the stop period and the preparatory operation period of the air conditioner 122, and the stop period and the preparatory operation period of the package air conditioner 123 without any particular synchronization. Is done.

  The load power prediction unit 473 predicts a predicted load power value based on the air conditioning heat source unit operation plan, the air conditioning system equipment operation plan, and the load power pattern data 422 stored in the first storage unit 402. The predicted load power value is a predicted value of the load power (power consumption) of the load facilities (the air conditioning heat source facility 1 and the work facility 2) at regular intervals in the day.

  For this purpose, the load power prediction unit 473 obtains the load power (power consumption) of the air conditioning heat source unit 11 for each time zone at regular intervals based on the air conditioning heat source unit operation plan. Further, the load power prediction unit 473 obtains the load power for each time zone at regular intervals in the day for each air conditioning system device based on the air conditioning system device operation plan for each air conditioning system device. That is, the load power prediction unit 473 obtains the load power of the external air conditioner 121 for each time zone at regular intervals based on the air conditioning system equipment operation plan corresponding to the external air conditioner 121. Further, the load power prediction unit 473 obtains the load power of the air conditioner 122 for each time period at regular intervals based on the air conditioning system equipment operation plan corresponding to the air conditioner 122. Further, the load power prediction unit 473 obtains the load power of the package air conditioner 123 for each time zone at regular intervals based on the air conditioning system equipment operation plan corresponding to the package air conditioner 123.

  Then, the load power prediction unit 473 calculates the load power of the air conditioning heat source unit 11 obtained as described above, the load power for each air conditioning system device (external air conditioner 121, air conditioner 122, package air conditioner 123), and load power. The load power of the work facility 2 indicated by the pattern data 422 is added for each of the above-mentioned time intervals. The load power of the entire load (load facility) obtained in this way becomes the load power predicted value.

  The power facility operation plan creation unit 474 creates a power facility operation plan based on the predicted load power predicted by the load power prediction unit 473 and the predicted generated power predicted by the generated power prediction unit 405. That is, the power supply facility operation plan creation unit 474 supplies the first generator 31 and the second generator in supplying power to the load facilities (the air conditioning heat source facility 1 and the work facility 2) at regular time intervals in the day. 32, the breakdown of the allocation of the amount of power to be output from each of the storage battery 33 and the purchased power source 34 is determined.

  Specifically, the power supply facility operation plan creation unit 474 first allocates the purchased power output from the purchased power supply 34 to the predicted load power value so that the maximum value is less than or equal to the demand target value in each time zone. Do. Next, the power that exceeds the demand target value in the predicted load power value for each time zone is supplemented by the power output from at least one of the first generator 31, the second generator 32, and the storage battery 33. Allocate to The content specifying the operation of each power source (the first generator 31, the second generator 32, the storage battery 33, and the purchased power source 34) at regular intervals in the day according to the result of such power allocation is as follows. It becomes a power supply facility operation plan.

  The air conditioning heat source machine operation plan creation unit 471, the air conditioning system equipment operation plan creation part 472, and the power supply facility operation plan creation part 474 create an air conditioning heat source machine operation plan, an air conditioning system equipment operation plan, and a power supply equipment operation plan, respectively. An example of the algorithm for this is mathematical programming.

  As an example, when the power supply facility operation plan creation unit 474 creates a power supply facility operation plan by a mathematical programming method, the following are used as parameters (constraint conditions).

  That is, the number of time zones (demand time period) at regular intervals in a day, the number of first generators 31, the number of second generators 32, the number of storage batteries 33, the number of air conditioning heat source units 11, the air conditioning system equipment ( The number of external air conditioners 121, air conditioners 122, package air conditioners 123) and the number of heat storage tanks 133 are used.

  Furthermore, the output power of the first generator 31, the output power of the second generator 32, and the output power of the storage battery 33 (discharge is indicated by a positive value and storage is indicated by a negative value) are used.

  Furthermore, the amount of heat produced by the air conditioning heat source unit 11, the amount of heat discharged from the heat storage tank 133, the state of the first generator 31 (for example, indicating whether it is operating or stopped), air conditioning system equipment (external air conditioner 121, air conditioner) 122, the state of the package air conditioner 123), the state of the storage battery 33, and the state of the air conditioning heat source unit 11 are used. Furthermore, the purchased power output from the purchased power supply 34 is used. Furthermore, the load power prediction value predicted by the load power prediction unit 473 and the air conditioning thermal load prediction value predicted by the air conditioning thermal load prediction unit 401 are used.

  Furthermore, the maximum value and minimum value of the output power of the first generator 31, the maximum value and minimum value of the output voltage of the second generator 32, the maximum value and minimum value of the charge / discharge power of the storage battery 33, and the air conditioning heat source device 11 The maximum value and the minimum value of the manufacturing heat amount, the remaining amount of stored power of the storage battery 33, and the remaining amount of heat storage amount of the heat storage tank 133 are used. Note that the operation plan creation unit 407 uses the data stored in the first storage unit 402, the second storage unit 404, and the third storage unit 406 in FIG. May be read and used as appropriate.

  The air conditioning heat source unit operation plan created by the air conditioning heat source unit operation plan creation unit 471 is output to the load output control device 5 by the communication unit 408. The air conditioning system equipment operation plan created by the air conditioning system equipment operation plan creation unit 472 is also output to the load output control device 5. Further, the power supply facility operation plan created by the power supply facility operation plan creation unit 474 is output to the power supply output control device 6.

<Example of demand control in this embodiment>
With reference to FIG. 4, the specific example of the demand control by the driving | operation management apparatus 4 of this embodiment is demonstrated. FIG. 4A shows the external air conditioner power consumption P1. The external air conditioner power consumption P1 is the power consumption (load power) for each time period indicated by the predicted air conditioning system equipment power consumption value of the external air conditioner 121 predicted by the air conditioning system equipment power consumption prediction unit 403.

  FIG. 4B shows the air conditioner power consumption P2. This air conditioner power consumption P2 is the power consumption (load power) for each time zone indicated by the air conditioning system equipment power consumption predicted value of the air conditioner 122 predicted by the air conditioning system equipment power consumption prediction unit 403.

  FIG. 5 shows only the air conditioning heat source unit operation plan and the power supply facility operation plan when the external air conditioner power consumption P1 and the air conditioner power consumption P2 shown in FIGS. 4A and 4B are predicted. Therefore, the power consumption (load facility power consumption P4) of the entire load facility (air conditioning heat source facility 1 and work facility 2) when demand control is performed is shown.

  The power consumption shown in FIG. 5 is the sum of the air conditioner power consumption P1 (FIG. 4A), the air conditioner power consumption P2 (FIG. 4B), and the air conditioning system excluded power consumption P3. is there. The air conditioning system excluded power consumption P3 is the power consumption of all devices other than the external air conditioner 121, the air conditioner 122, and the package air conditioner 123 in the load facility (the air conditioning heat source facility 1 and the work facility 2). In addition, the power consumption of the air conditioning heat source unit 11 included in the air conditioning system excluded power consumption P3 is that when the air conditioning heat source unit is operated according to the air conditioning heat source unit operation plan.

  The threshold th shown in FIG. 5 corresponds to the demand target value. That is, when the load facility power consumption P4 shown in FIG. 5 is equal to or less than the threshold th, the output power of the purchased power supply 34 is equal to or less than the demand target value. On the other hand, when the load facility power consumption P4 exceeds the threshold th, the output power of the purchased power supply 34 also exceeds the demand target value.

  FIG. 5 shows a state where the load facility power consumption P4 exceeds the threshold th during the period from 10:00 to 12:00. In the load facility shown in FIG. 1, it is assumed that the power consumption of the air-conditioning heat source unit 11 tends to be considerably larger than other devices. Therefore, it is possible to obtain a certain effect by demand control according to only the air conditioning heat source unit operation plan and the power supply facility operation plan.

  However, for example, when the power consumption of a certain device has increased beyond a certain level due to changes in the outside air or indoor environment, demand control based only on the air conditioning heat source unit operation plan and the power supply facility operation plan will increase the power consumption. It may become impossible to absorb. As a result, as shown as a period from 10:00 to 12:00 in FIG. 5, a state occurs in which the load facility power consumption P4 exceeds the threshold th.

  The state where the load facility power consumption P4 exceeds the threshold th during the period from 10:00 to 12:00 in FIG. 5 can be suppressed by real-time demand control by the real-time DR instruction unit 409. However, the real-time demand control by the real-time DR instruction unit 409 is a control for lowering the increase in power supplied from the power purchase power supply 34 to the load facility regardless of the initial operation plan. As a result, the operation of the air conditioning heat source machine 11 and the air conditioning system equipment in the air conditioning system 12 is stopped at a timing different from the initial operation plan. For this reason, it becomes impossible to adjust room temperature etc. in a suitable range, for example, the possibility that the comfort in a room will be impaired increases. In other words, in demand control, it is preferable to perform the operation so that the demand target value is satisfied as much as possible under the operation plan created in advance, so that the real-time DR instruction unit 409 is not operated.

  In addition, the structure which performs demand control as follows on the premise of performing demand control only by an air-conditioning heat-source equipment operation plan and a power supply equipment operation plan is also considered. That is, from the results of the air conditioning heat source unit operation plan and the power supply facility operation plan, the peak of the purchased power supplied from the purchased power supply 34 to the load facility in a day is predicted. Next, it is determined whether or not there is a peak that exceeds the demand target value for a predetermined time or more among the predicted peak of the purchased power. And when it determines with such a peak existing, an air-conditioning heat-source equipment operation plan and a power supply equipment operation plan are changed so that this peak may become below a demand target value. However, in the above configuration, it has been confirmed that there may be a phenomenon that the time period during which the power consumption reaches a peak shifts, and it is difficult to reliably reduce the power consumption.

  Therefore, in the present embodiment, the air conditioning system device is also included in the operation plan as described above. That is, the demand control is executed by the air conditioning heat source unit operation plan, the power supply facility operation plan, and the air conditioning system equipment operation plan.

  FIG. 6 shows load facility power consumption P14 when the demand control according to the present embodiment is performed according to the air conditioning heat source unit operation plan, the power supply facility operation plan, and the air conditioning system equipment operation plan as the demand control of the present embodiment. Yes. The external air conditioner power consumption P11 shown in this figure is the power consumption when the external air conditioner 121 is operated according to the air conditioner system equipment operation plan of the external air conditioner 121, and the air conditioner power consumption P12 is the air conditioner 122 power consumption. This is the power consumption when the air conditioner 122 is operated according to the air conditioning system equipment operation plan. Furthermore, the power consumption of the air conditioning heat source unit 11 included in the air conditioning system excluded power consumption P13 is also the power consumption when the air conditioning heat source unit 11 is operated according to the air conditioning heat source unit operation plan.

  In this FIG. 6, the example which operated the external air handler 121 as follows by the air-conditioning system apparatus operation plan is shown. That is, during the period from 10:00 to 12:00, a stop period T1 for stopping the external air conditioner 121 is set. The power consumption of the external air conditioner 121 at this time is “0 W”. Further, in the period from 6 o'clock to 10 o'clock immediately before the stop period T1, a preparation operation period T2 in which the external air conditioner 121 is fully opened is set. The power consumption of the external air conditioner 121 at this time is the rated power Pr.

  As a result of operating the external air conditioner 121 according to the air conditioning system equipment operation plan as described above, as shown in FIG. 6, the load facility power consumption P14 is equal to or less than the threshold th in any time zone of the day. It is controlled to become. That is, the purchased power is controlled to be equal to or less than the demand target value throughout the entire day.

  As described above, in this embodiment, in addition to the air conditioning heat source unit operation plan and the power supply facility operation plan, the operation plan further includes air conditioning system equipment, for example, operation corresponding to a long time of one day (24 hours). According to the plan, it is possible to more reliably perform demand control for setting the purchased power to be equal to or less than the demand target value.

<Processing procedure>
The flowchart of FIG. 7 shows an example of a processing procedure executed by the operation management device 4. In the operation management device 4, the data management unit 410 collects each data to be stored in the first storage unit 402, the second storage unit 404, and the third storage unit 406. Then, the data management unit 410 stores the collected data in the first storage unit 402, the second storage unit 404, and the third storage unit 406 (step S101). At this time, if the previous data is already stored, the data management unit 410 updates the previous data with the data collected this time.

  Next, the air-conditioning thermal load prediction unit 401 uses the air-conditioning thermal load prediction data (weather forecast data 421, load power pattern data 422, and actual power measurement data 423) stored in the first storage unit 402, and uses the air-conditioning thermal load prediction data. A predicted value is predicted (step S102).

  In addition, the air conditioning system device power consumption prediction unit 403 uses the air conditioning system device power consumption prediction data (environment actual measurement data 441, setting condition data 442, and weather forecast data 443) stored in the second storage unit 404 for air conditioning. The system device power consumption prediction value is predicted (step S103).

  Further, the generated power prediction unit 405 predicts the predicted generated power value using the generated power prediction data (power-related data 461, storage battery-related data 462, and weather forecast data 463) stored in the third storage unit 406. (Step S104).

  Note that the order of the processes in steps S102, S103, and S104 may be changed. Further, the processes of steps S102, S103, and S104 may be executed in parallel.

  Next, the air conditioning heat source unit operation plan creation unit 471 in the operation plan creation unit 407 creates an air conditioning heat source unit operation plan using the predicted air conditioning heat load predicted in step S102 (step S105). Then, the air conditioning heat source unit operation plan creation unit 471 outputs the created air conditioning heat source unit operation plan to the load output control device 5 (step S106).

  In addition, the air conditioning system equipment operation plan creation unit 472 creates an air conditioning system equipment operation plan based on the predicted air conditioning system equipment power consumption predicted in step S103 (step S107). Then, the air conditioning system equipment operation plan creation unit 472 outputs the created air conditioning system equipment operation plan to the load output control device 5 (step S108).

Note that the processing for creating and outputting the air conditioning heat source unit operation plan in steps S105 and S106 and the processing for creating and outputting the air conditioning system equipment operation plan in steps S107 and S108 are in reverse order. They may be executed concurrently.

  Next, the load power prediction unit 473 predicts a load power prediction value (step S109). For this purpose, the load power prediction unit 473 includes the air conditioning heat source unit operation plan created in step S105, the air conditioning system equipment operation plan created in step S107, and the load power stored in the first storage unit 402. The pattern data 422 is input. Then, the load power prediction unit 473 obtains the predicted load power value as described above using the input information.

  Next, the power supply facility operation plan creation unit 474 creates a power supply facility operation plan based on the predicted load power predicted in step S109 and the generated power predicted value predicted in step S104 (step S110). Then, the power facility operation plan creation unit 474 outputs the power facility operation plan created as described above to the power output control device 6 (step S111).

  The flowchart of FIG. 8 shows an example of a processing procedure executed by the real-time DR instruction unit 409 in the operation management device 4. The real-time DR instruction unit 409 monitors the current measured value of the purchased power, and determines whether or not the measured value of the purchased power exceeds the demand target value (step S201).

  When it is determined that the actual measured value of purchased power exceeds the demand target value (step S201—YES), the real-time DR instruction unit 409 determines the content of the real-time DR control as described above (step S202). That is, the real-time DR instruction unit 409 determines the amount of power consumption reduction and how to operate the equipment in the load facility for power consumption reduction. Then, the real-time DR instruction unit 409 instructs the load output control device 5 to execute the real-time DR control according to the content determined in step S202 (step S203), and returns to step S201.

  On the other hand, when it is determined that the measured value of the purchased power does not exceed the demand target value (step S201—NO), the real-time DR instruction unit 409 determines that the real-time DR control has been executed so far. The load output control device 5 is instructed to stop the real-time DR control (step S204). Then, the process returns to step S201.

  The load output control device 5 executes the operation control of the load facility based on the air conditioning heat source unit operation plan, the air conditioning system equipment operation plan, and the power supply facility operation plan in response to the instruction to stop the real-time DR control.

  In the embodiments described so far, the types of air conditioning system devices included in the air conditioning system 12 are the three types of the air conditioner 121, the air conditioner 122, and the package air conditioner 123. These three external air conditioners 121, air conditioners 122, and package air conditioners 123 are the targets of operation according to the air conditioning system equipment operation plan. However, for example, any one or two of the external air conditioner 121, the air conditioner 122, and the package air conditioner 123 may be set as the operation targets according to the air conditioning system equipment operation plan.

  2 is recorded on a computer-readable recording medium, and the program recorded on the recording medium is read by a computer system and executed to perform operation management. Also good. Here, the “computer system” includes an OS and hardware such as peripheral devices. The “computer system” includes a WWW system having a homepage providing environment (or display environment). 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. Further, the “computer-readable recording medium” refers to a volatile memory (RAM) in a computer system that becomes a server or a client when a program is transmitted via a network such as the Internet or a communication line such as a telephone line. In addition, those holding programs for a certain period of time are also included.

  The program may be transmitted from a computer system storing the program in a storage device or the like to another computer system via a transmission medium or by a transmission wave in the transmission medium. Here, the “transmission medium” for transmitting the program refers to a medium having a function of transmitting information, such as a network (communication network) such as the Internet or a communication line (communication line) such as a telephone line. The program may be for realizing a part of the functions described above. Furthermore, what can implement | achieve the function mentioned above in combination with the program already recorded on the computer system, and what is called a difference file (difference program) may be sufficient.

DESCRIPTION OF SYMBOLS 1 Air conditioning heat source equipment 2 Work equipment 3 Power supply equipment 4 Operation management apparatus 5 Load output control apparatus 6 Power supply output control apparatus 11 Air conditioning heat source machine 12 Air conditioning system 13 Thermal circulation mechanism 31 1st generator 32 2nd generator 33 Storage battery 34 Purchase of electricity Power supply 121 External air conditioner 122 Air conditioner 123 Package air conditioner 133 Heat storage tank 401 Air conditioning heat load prediction unit 402 First storage unit 403 Air conditioning system equipment power consumption prediction unit 404 Second storage unit 405 Generated power prediction unit 406 Third storage unit 407 Operation plan creation unit 408 Communication unit 409 Real time DR instruction unit 410 Data management unit 471 Air conditioning heat source unit operation plan creation unit 472 Air conditioning system equipment operation plan creation unit 473 Load power prediction unit 474 Power supply facility operation plan creation unit

Claims (5)

An air conditioning heat load prediction unit that predicts an air conditioning heat load prediction value that is an amount of heat required by the air conditioning heat source unit for each fixed time period in a future fixed period based on the air conditioning heat load prediction data;
Predicting predicted air-conditioning system device power consumption, which is the power consumed by each air-conditioning system device forming the air-conditioning system, at predetermined time intervals in the future fixed period based on the air-conditioning system device power consumption prediction data An air conditioning system equipment power consumption forecasting unit;
A generated power prediction unit that predicts a generated power prediction value that is the power output by the power generation device for each predetermined time period in the future fixed period based on the generated power prediction data;
An air conditioning heat source unit operation plan creation unit that creates an air conditioning heat source unit operation plan indicating an operation plan of the air conditioning heat source unit for each predetermined time period in the future predetermined period based on the air conditioning heat load predicted value;
An air-conditioning system equipment operation plan creation unit that creates an air-conditioning system equipment operation plan indicating an operation plan for each air-conditioning system equipment for each predetermined time period in the future certain period based on the predicted power consumption value of the air-conditioning system equipment; ,
Based on the air conditioning heat source machine operation plan, the air conditioning system equipment operation plan, and load power pattern data for loads other than the air conditioning heat source equipment and the air conditioning system equipment, for each time period at regular intervals in the future constant period. A load power prediction unit that predicts a load power prediction value that is the load power of the entire load;
A power supply facility operation plan creation unit that creates a power supply facility operation plan indicating a power facility operation plan for each predetermined time period in the future fixed period based on at least the predicted load power value and the predicted power generation value; equipped with a,
The air conditioning system equipment operation plan creation unit
A preparatory operation for setting a stop period for stopping the air conditioning system device for a predetermined time in order to reduce the purchased power to a certain level and operating the air conditioning system device with a predetermined output for a predetermined time immediately before the stop period. Create the air conditioning system equipment operation plan to set the period,
An operation management device characterized by that. The air conditioning system device is an external air conditioner that takes in outside air and adjusts the temperature of the outside air taken in according to the set temperature and the room temperature,
2. The operation management apparatus according to claim 1 , wherein the air conditioning system equipment operation plan creation unit creates the air conditioning system equipment operation plan so that the external controller is fully opened during the preparation operation period. The air conditioning system device is an air conditioner that uses the temperature of a medium heated or cooled by the air conditioning heat source device to adjust the outside air taken in by the external conditioner to a set temperature,
The operation management apparatus according to claim 2 , wherein the air conditioning system equipment operation plan creation unit creates the air conditioning system equipment operation plan so that the air conditioner performs a precooling operation or a preheating operation during the preparation operation period. . An air conditioning heat load prediction step for predicting an air conditioning heat load prediction value, which is the amount of heat required by the air conditioning heat source unit, at a predetermined interval in a future fixed period based on the air conditioning heat load prediction data;
Predicting predicted air-conditioning system device power consumption, which is the power consumed by each air-conditioning system device forming the air-conditioning system, at predetermined time intervals in the future fixed period based on the air-conditioning system device power consumption prediction data Air conditioning system equipment power consumption prediction step,
A generated power prediction step of predicting a generated power predicted value, which is power output by the power generator for each predetermined time period in the future fixed period, based on generated power prediction data;
An air conditioning heat source unit operation plan creation step for creating an air conditioning heat source unit operation plan indicating an operation plan of the air conditioning heat source unit for each predetermined time period in the future predetermined period based on the predicted air conditioning heat load value;
An air-conditioning system equipment operation plan creation step for creating an air-conditioning system equipment operation plan indicating an operation plan for each air-conditioning system equipment for each predetermined time period in the future fixed period based on the predicted power consumption value of the air-conditioning system equipment; ,
Based on the air conditioning heat source machine operation plan, the air conditioning system equipment operation plan, and load power pattern data for loads other than the air conditioning heat source equipment and the air conditioning system equipment, for each time period at regular intervals in the future constant period. A load power prediction step for predicting a load power prediction value that is the load power of the entire load;
A power supply facility operation plan creation step for creating a power supply facility operation plan indicating a power supply facility operation plan for each predetermined time period in the future fixed period based on at least the load power predicted value and the generated power predicted value; equipped with a,
The air conditioning system equipment operation plan creation step includes:
A preparatory operation for setting a stop period for stopping the air conditioning system device for a predetermined time in order to reduce the purchased power to a certain level and operating the air conditioning system device with a predetermined output for a predetermined time immediately before the stop period. Create the air conditioning system equipment operation plan to set the period,
An operation management method characterized by that. On the computer,
An air conditioning heat load prediction step for predicting an air conditioning heat load prediction value, which is the amount of heat required by the air conditioning heat source unit, at a predetermined interval in a future fixed period based on the air conditioning heat load prediction data;
Predicting predicted air-conditioning system device power consumption, which is the power consumed by each air-conditioning system device forming the air-conditioning system, at predetermined time intervals in the future fixed period based on the air-conditioning system device power consumption prediction data Air conditioning system equipment power consumption prediction step,
A generated power prediction step of predicting a generated power predicted value, which is power output by the power generator for each predetermined time period in the future fixed period, based on generated power prediction data;
An air conditioning heat source unit operation plan creation step for creating an air conditioning heat source unit operation plan indicating an operation plan of the air conditioning heat source unit for each predetermined time period in the future predetermined period based on the predicted air conditioning heat load value;
Create an air conditioning system equipment operation plan showing an operation plan for each of the air conditioning system equipment at regular intervals in the future fixed period based on the predicted power consumption of the air conditioning system equipment , and reduce the purchased power to a certain level or less. The stop period for stopping the air conditioning system device by a predetermined time to reduce the time is set, and the preparation operation period for operating the air conditioning system device at a predetermined output by the predetermined time immediately before the stop period is set. An air conditioning system equipment operation plan creation step for creating an air conditioning system equipment operation plan;
Based on the air conditioning heat source machine operation plan, the air conditioning system equipment operation plan, and load power pattern data for loads other than the air conditioning heat source equipment and the air conditioning system equipment, for each time period at regular intervals in the future constant period. A load power prediction step for predicting a load power prediction value that is the load power of the entire load;
A power supply facility operation plan creation step for creating a power supply facility operation plan indicating a power supply facility operation plan for each predetermined time period in the future fixed period based on at least the load power predicted value and the generated power predicted value; A program for running

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