JP6893980B2 - Energy management equipment and methods, energy management systems and operation planning methods for energy management systems - Google Patents

Description

The present invention relates to an energy management device and method for supplying electric power in a business entity composed of a plurality of power generation establishments and a plurality of power receiving establishments, an energy management system, and an operation planning method of the energy management system, and particularly to receive power. The present invention relates to an energy management device and method capable of performing power interchange within a business establishment, an energy management system, and an operation planning method of the energy management system in cooperation with a system that manages a schedule of processes that consume electric power in a business establishment.

In recent years, there has been an increasing need for mutual interchange of electric power in a region by combining distributed energies such as renewable energy, cogeneration, and storage batteries for the purpose of reducing energy costs and CO _{2 emissions.}

Specifically, for example, in an entity that owns multiple establishments, the establishment that owns its own power generation facility (power generation establishment) has surplus power generation capacity and the establishment that purchases external power (power receiving). If there is a shortage of power at the business establishment), the power will be transferred from the power generation business establishment to the power receiving business establishment. At this time, when power is interchanged via the power system, the business entity must pay a consignment fee, but if the power generation unit price including the consignment fee is lower than the unit price of external power, there is a cost advantage for the business entity. is there. In this regard, in Japan, the self-consignment system for electric power was started as part of the reform of the electric power system in 2014, and a low consignment fee will be applied in the case of power interchange within the same business. Therefore, it is expected that it will be widely used in businesses that own multiple business establishments, especially companies that own multiple manufacturing plants.

However, when self-consignment via the power system is performed, for example, the planned value must be submitted the day before, and the same amount of power is supplied at the same time as the planned value to keep the planned value on the day, and there is a difference (imbalance). If it does occur, you will have to pay an imbalance fee. Therefore, when making a plan, it is important to predict the power demand of the power receiving establishment with high accuracy.

As a conventional technology related to electric power interchange, Patent Document 1 predicts the electric energy of a power receiving establishment (customer) based on actual data, and determines the fuel consumption characteristics, transmission loss rate, and consignment charge of the generator of the power generation establishment. We are proposing a method to determine the amount of self-consigned power in consideration.

Japanese Unexamined Patent Publication No. 2005-261506

However, if the power receiving office is a manufacturing factory, there are multiple production processes with uncertain schedules, so the error in power demand forecast becomes large, and the self-consignment plan becomes uncertain, resulting in Imbalance may occur. In addition, there is a problem that there is a risk that the power purchased from the outside exceeds the contract power at the power receiving business.

The present invention has been made in view of the above problems, and an object of the present invention is to have a plurality of manufacturing plants in an entity composed of a plurality of power receiving establishments including a manufacturing plant and a plurality of power generation establishments. Self-consignment plan is made by considering the uncertainty of the production schedule, and energy management equipment and method, energy management system and energy that change the power demand and keep the same amount as the planned value by adjusting the production schedule. The purpose is to provide an operation planning method for the management system.

From the above, in the present invention, "an energy management device in an enterprise having a power generation establishment and a power receiving establishment connected to an electric power system.
An EMS (energy management device: Energy Management System) is installed in the power generation establishment and the power receiving establishment, and an AEMS (regional energy management device: Area Energy Management System) is installed in the business entity.
The EMS of the power receiving establishment predicts the power transition for each production line on the scheduled date, classifies the operation schedule of the production line on the scheduled date into a fixed schedule, an unfixed schedule, and an adjustable schedule.
The AEMS determines the classified operation schedule on the scheduled date, the fixed demand on the scheduled date from the power transition, and the maximum demand in consideration of the undetermined schedule reported from the EMS of the power receiving establishment, and the maximum demand. And the minimum self-consignment amount obtained as the difference of the contracted power of the entire power receiving establishment and the self-consignment plan output to the power receiving establishment within the range of the fixed demand are determined.
The EMS of the power generation establishment is an energy management device characterized in that power is generated in accordance with the self-consignment planned output defined by the AEMS. ".

Further, in the present invention, "an energy management method in an entity having a power generation establishment and a power receiving establishment connected to an electric power system.
For the power receiving establishment, the power transition for each production line on the scheduled date is predicted, and the operation schedule of the production line on the scheduled date is classified into a fixed schedule, an unfixed schedule, and an adjustable schedule.
From the classified operation schedule and the power transition on the scheduled date, the fixed demand on the scheduled date and the maximum demand in consideration of the undetermined schedule are determined, and the minimum calculated as the difference between the maximum demand and the contracted power of the entire power receiving establishment. Determine the self-consignment plan output to the power receiving establishment within the range of the self-consignment amount and the fixed demand.
The energy management method, wherein the power generation establishment generates power according to the self-consignment plan output. ".

Further, in the present invention, "an energy management system in an entity having a power generation establishment and a power receiving establishment connected to an electric power system.
Energy production of the entire power receiving establishment by evaluating the demand fluctuation amount on the scheduled date based on the demand fluctuation factor determining means that determines the demand fluctuation factor in the energy demand forecast of the entire power receiving establishment on the scheduled date. -An energy management system characterized in that it is provided with a means for creating a purchase / transaction plan and a means for presenting a plurality of plans for energy production / purchase / transaction plans created by the means for creating an energy production / purchase / transaction plan. ".

Further, in the present invention, "an operation planning method for energy management in an entity having a power generation establishment and a power receiving establishment connected to an electric power system.
In the energy demand forecast for the entire power receiving facility on the scheduled date, the schedules caused by energy demand are classified into fixed schedules, unfixed schedules, and adjustable schedules, the maximum error of demand is evaluated based on the unfixed schedules, and energy production is performed. -When creating a purchase / transaction plan, an operation planning method for an energy management system characterized by changing an adjustable schedule to match the planned value. ".

According to the present invention, the energy cost of the entire business entity can be reduced by maximizing the self-consignment amount while maintaining the same planned value at the same time.

The figure which shows the structural example of the business entity which concerns on embodiment of this invention. The figure which shows an example of the system structure in the business body which concerns on embodiment of this invention. The figure which showed an example of the functional structure of the production schedule management function which concerns on embodiment of this invention. The figure which showed an example of the plan generation flow of self-consignment which concerns on embodiment of this invention. The figure which showed an example of the schedule of the production line in the power receiving establishment and the electric power demand which concerns on embodiment of this invention. The figure which showed an example of the self-consignment plan created by AEMS which concerns on Example of this invention. The figure which showed an example of the self-consignment plan of the day prepared by AEMS which concerns on Example of this invention.

Hereinafter, embodiments of the present invention will be described with reference to the drawings.

FIG. 1 shows an example of the configuration of an entity according to an embodiment of the present invention. The business entity 3 is composed of a plurality of power generation establishments 4 (4a to 4n) and a plurality of power receiving establishments 5 (5A to 5M) connected to the power system 1.

Here, the power generation establishment 4 is composed of a power generation facility 9, a load 10, and an energy management system (hereinafter referred to as EMS) 6, the load 10 of the power generation establishment and another power receiving establishment 5 in the entity 3. Can be powered. If there is a shortage of power, purchase external power from an electric power company.

On the other hand, the power generation facility 9 is not installed in the power receiving establishment 5, and is composed of a load 10 and an EMS 22. With respect to the load 10 of the power receiving establishment, another power generation establishment 5 and the electric power company 2 etc. Power is supplied from the external power of. When the power receiving office 5 is a manufacturing factory, it is provided with a manufacturing execution system (hereinafter referred to as MES) 8 that manages the production process in the power receiving office 5. MES8 will be described later.

In addition, a regional energy management system (hereinafter referred to as AEMS) 7 is installed in the business entity 3 to manage self-consignment between the power generation business establishment 4 and the power receiving business establishment 5 in the business entity 3. Regarding AEMS 7, signal transmission is performed between the EMS 6 installed in the power generation establishment 4 and the EMS 22 installed in the power receiving establishment 5 using a communication line.

FIG. 2 shows an example of a system configuration in the business entity 3 according to the embodiment of the present invention. The business entity 3 includes a plurality of power generation establishments 4 (4a to 4n) and a plurality of power receiving establishments 5 (5A to 5M), but these are basically the same configuration. In the following, a specific configuration will be described with the power generation establishment 4a and the power receiving establishment 5A as representative examples.

The EMS 6a is installed in the power generation establishment 4a, and the power generation facility 9 is operated based on the self-consignment plan signal 100 from the AEMS 7.

On the other hand, regarding the power receiving establishment 5A, in this embodiment, the case where the power receiving establishment 5A is a manufacturing factory is shown. When the power receiving office 5A is a manufacturing factory, the energy management in the power receiving office 5A is performed by the EMS 22A, but in addition to that, the manufacturing execution system (hereinafter referred to as MES) 8A that manages the production process and the schedule of the production process are managed. A production schedule management function 11A and a production / self-consignment plan candidate display function 12A for displaying candidates for a production / self-consignment plan are installed.

AEMS 7 has a demand forecasting function 13 for evaluating the electric power demand of the entire business entity 3, a production schedule adjustment function 14 for adjusting the production schedule of each power receiving business establishment 5, and a self-consignment planning function 15 for generating a self-consignment plan for the entire business entity. It is composed of a result output function 16 that outputs the result of self-consignment.

The procedure for generating a plan for self-consignment will be described below with reference to FIG. 4, which shows an example of the plan generation flow for self-consignment. The self-consignment plan generation procedure is executed between a plurality of power receiving establishments 5 (5A to 5M), a plurality of power generation establishments 4 (4a to 4n), and AEMS7, and power generation with the power receiving establishment 5 (5A to 5M). Based on the power demand forecast information presented by the business establishment 4 (4a to 4n), the AEMS7 side creates a self-consignment plan, and the power receiving establishment 5 (5A to 5M) decides whether or not to accept the self-consignment plan. It is a flow of.

First, the power receiving establishment 5 (5A to 5M) side executes the processing steps S1 to S4, and determines the power demand forecast information to be presented to the AEMS7 side.

Specifically, first, in the processing step S1 of FIG. 4, the MES8 of each power receiving establishment 5 predicts the power consumption of each production line by the conventional results or calculation. In the processing step S2, the power consumption of each production line is adjusted by the production schedule management function 11 at each power receiving establishment 5 based on the information input in MES8, as shown in FIG. Classify into possible schedules.

Here, FIG. 5 shows the schedule 5AL1S, 5AL2S, ... 5ALPS of the production line tomorrow (scheduled date) and the power demand 5AL1P, 5AL2P for the production lines 5AL1, 5AL2, ... 5ALP owned by the power receiving office 5A. , ... The time change of 5ALPP is schematically shown.

Of these, regarding the production line schedule 5AL1S of the production line 5AL1 owned by the power receiving office 5A, it has been confirmed that the scheduled operation time of tomorrow (scheduled date) will be from 8:00 to 20:00, and various materials, equipment, and personnel will be used. , The schedule of the unloading procedure has been completed, and tomorrow (scheduled date) is the production line that should operate as scheduled. The power demand in this case seems to be 5AL1P, and peaks between 10:00 and 15:00. In this case, the production line schedule 5AL1S is defined as a fixed schedule.

Regarding the production line schedule 5AL2S of the production line 5AL2 owned by the power receiving office 5A, this is from 10:00 to 18:00 as the scheduled operation time of the initial tomorrow (scheduled date) is shown by the solid line, but regarding the scheduled start time Ts, There is a possibility that it will be earlier than 10 o'clock, and the scheduled start time Ts cannot be specified until tomorrow (scheduled date). In the planning stage as of today, for example, the time width dT from 8:00 to 10:00 is an undetermined time width, and in this case, the production line schedule 5AL2S is defined as an undetermined schedule. In the case of an undetermined schedule, tomorrow's (scheduled date) power demand 5AL2P will change the start and end times of the power demand fluctuation pattern as shown by the dotted line, depending on the possibility that the operation will be advanced. Become.

Regarding the production line schedule 5ALPS of the production line 5ALP owned by the power receiving office 5A, the operation schedule for tomorrow (scheduled date) is from 9:00 to 18:00. It is in a state where it is possible to shift the schedule from 11:00 to 20:00 and operate it. When the latter time zone is selected, the scheduled start time Ts is moved by the adjustable time width dTc for operation. In this case, the production line schedule 5ALPS is defined as an adjustable schedule.

In this way, in the processing step S2, the production schedule management function 11 defines and classifies the power consumption of each production line into one of the fixed schedule, the unfixed schedule, and the adjustable schedule based on the information input in the MES8. ..

Further, in the processing step S3, the production schedule management function 11 predicts the undetermined time width dTu for the undetermined schedule. For example, regarding the production line schedule 5AL2S, which is an undetermined schedule, the previous explanation explained that the schedule at 10 o'clock is advanced to 8 o'clock, but a time other than 8 o'clock is assumed as the scheduled start time Ts. Here, the production schedule management function 11 includes an operator input function 17 or a machine learning function 18 as shown in FIG. The operator input function 17 refers to the supply chain information of the manufacturing factory and the database 19 regarding the past undetermined schedule, and outputs the result of the operator estimating and inputting the undetermined time width dTu to the EMS 22. Alternatively, the machine learning function 18 calculates the undetermined time width dTu by machine learning with reference to the database 19, and inputs it to the EMS 22.

In the processing step S4 of FIG. 4, the EMS 22 at each power receiving establishment 5 makes a power demand forecast including an error at each power receiving establishment with the undetermined time width dTu as a parameter. To show this with the example of the power receiving office 5A in FIG. 5, the total power at each time for the power demand 5AL1P, 5AL2P, ... 5ALPP determined for each of the production line schedules 5AL1S, 5AL2S, ... 5ALPS. It demands demand. In this case, since there are fixed power and undetermined power for each time, the total of the fixed power and the total of the undetermined power are separately grasped. Moreover, since the undetermined time width dTu is used as a parameter, a plurality of patterns of power demand forecasts are performed. The portion corresponding to the total undetermined power is the error at the power receiving establishment.

In the processing step S5 of FIG. 4, the AEMS 7 calculates the power demand of the entire power receiving business establishment based on the power demand forecast information of the power receiving business establishment 5 reported by each power receiving business establishment 5 (5A to 5M).

FIG. 6 shows an example of a self-consignment plan created by AEMS 7 on the day before the scheduled date. The concept of the present invention will be described with reference to FIG. The self-consignment plan shows the electric power (transition of electric power) for each time in 24 hours tomorrow (scheduled date), and among the characteristics of electric power shown here, P1 is each power receiving office 5 (5A to 5M). ) Is the fixed demand part of the power demand of the entire power receiving establishment calculated based on the power demand forecast information reported by). In the fixed demand portion P1, all power receiving offices (5A to 5M) are scheduled to initially operate among the fixed schedule, the unfixed schedule, the power when the fixed schedule, and the adjustable schedule. The fixed demand is evaluated based on the power at the time of the schedule, and the total is calculated as the fixed demand at all the power receiving offices. At this stage, it is assumed that the power demand of power generation establishments is not yet included. In FIG. 5, the total of the parts with the background color for each time corresponds to the fixed demand P1.

The maximum demand P2 in consideration of the undetermined schedule of FIG. 6 is obtained by further adding the hourly fluctuation amount of the undetermined demand to the fixed demand P1. The maximum demand considering the undetermined schedule is the result of the power demand forecast including all cases in which the undetermined time width dTu is changed as a parameter at all power receiving establishments.

By the way, the business entity 3 in FIG. 1 needs to cover the maximum demand P2 in consideration of the undetermined schedule by the amount of power generated from the power generation establishment 4 (4a to 4n) and the external power of the electric power company 2 or the like. The external power of the electric power company 2 or the like is limited by the contracted power P3 (total of the contracted powers of the power receiving business establishments), and the power of the contracted power P3 or more cannot be obtained from the power company 2. FIG. 6 shows the minimum self-consignment amount P4, which is the difference between the maximum demand P2 (maximum undetermined demand value) and the contracted power P3 in consideration of the undetermined schedule. Since the power generation includes the consumption of the power demand of the power generation establishment, the amount of power generation that meets the demand of the power receiving establishment is distinguished here as the "self-consignment amount".

The minimum self-consignment amount P4 shown in FIG. 6 is the minimum when the power receiving establishment 5 is assumed to receive the same amount of external power as the contracted power P3 of the power receiving establishment, and the rest is self-consigned by private power generation. It means the amount of self-consignment. In the present invention, the self-consignment plan is formulated so as to determine the self-consignment plan value from the power generation establishment 4 so as to be within the range of the fixed demand P1 and the minimum self-consignment amount P4 for each time zone. At this time, the generator operation plan of the power generation establishment in the processing step S7 includes the electric power demand of the entire power generation establishment in the electric power demand of the entire power receiving establishment in FIG. 6 so as to reduce the power generation cost. Perform optimization. In optimization, the ratio between the amount of electricity purchased and the amount of private power generation is determined in consideration of power generation costs and the like.

In the processing step S14 of FIG. 4, the total of the power demand forecast results of the power generation establishments evaluated by the EMS 6 of the power generation establishment 4 is added to the electric power demand of the entire power receiving establishment obtained in the processing step S5, and the electric power of the entire enterprise is added. Seek demand.

In the process step S6 of FIG. 4, the production schedule adjustment function 14 in the AEMS 7 is used to correct the power demand portion of the entire power receiving business establishment based on the adjustable time dTc of the adjustable schedule from each power receiving business establishment. As a result of changing the adjustable time dTc of the adjustable schedule, the relationship of each electric power shown in FIG. 6 is changed.

In the processing step S7 of FIG. 4, in the self-consignment planning function 15 in AEMS7, the power generation business is made with respect to the power demand of the entire business entity, which is the sum of the power demand of the entire power receiving business and the power demand of the power generation business. Make multiple operation plans for power generation facilities throughout the site.

In the operation plan of the power generation facility in the processing step S8 of FIG. 4, a plurality of operation plans are created under the constraint condition that the electric power purchased from the outside by each power generation establishment and the power receiving establishment is equal to or less than the contracted electric power. If the constraint condition is not satisfied, the adjustable schedule shown in process step S6 is readjusted.

In the processing step S9 of FIG. 4, a plurality of self-consignment plans are output from the AEMS 7 to the EMS 22 of each power receiving establishment 5.

In the processing step S10 of FIG. 4, with respect to the self-consignment plan received from the AEMS 7, the EMS 22 and MES 8 of each power receiving establishment 5 present the operator with a plurality of self-consignment plans and a plurality of draft production schedules.

In the processing step S11 of FIG. 4, the operator of each power receiving establishment 5 selects one from a plurality of plans. If the condition is not satisfied, the process returns to the processing step S6 of AEMS7, the adjustable schedule is readjusted again, and the power demand of the entire power receiving establishment is corrected.

In the processing step S12 of FIG. 4, the MES8 outputs the production schedule after the operators of all the power receiving establishments approve the self-consignment plan and the draft production schedule.

Further, in the processing step S13 of FIG. 4, the AEMS 7 outputs the power generation plan to all the power generation establishments.

FIG. 7 shows an example of the self-consignment plan and actual results created by AEMS7 to all power receiving offices on the day. The self-consignment operation plan for the day is repeated, for example, at 30-minute intervals based on the procedure shown in FIG. Basically, the self-consignment amount from the power generation establishment 4 to the power receiving establishment 5 is less than the demand amount of the power receiving establishment, and the difference is covered by the purchase of external power. However, due to a sudden change in the production plan at the power receiving office 5, the demand may fall below the self-consignment plan value. In that case, imbalance occurs, and there is a concern that the operating cost will increase in the case where the imbalance fee is high. Therefore, in this embodiment, the demand on the day and the self-consignment planned value are compared for each planned time (for example, 30 minutes), and if there is a possibility of imbalance, the adjustable time of the adjustable schedule shown in FIG. 5 is adjusted. Using the width dTc as a parameter, formulate an operation plan that avoids imbalance.

In the description of the above embodiment, the typical adjustable consumer equipment classified into the adjustable schedule is the air-conditioning equipment, but even in this case, the entire capacity of the air-conditioning equipment is classified into the adjustable schedule. It is desirable that the capacity of the surplus air-conditioning equipment be divided into adjustable schedules on the premise that the comfort of the occupants is ensured at a minimum.

Based on the above, according to the method of the present invention, in an entity composed of a plurality of power receiving establishments including a manufacturing plant and a plurality of power generation establishments, the uncertainty of a plurality of production schedules of the manufacturing plant is taken into consideration. Providing operation planning equipment and methods that reduce energy costs by formulating a self-consignment plan and adjusting the production schedule to change the power demand and maximize the self-consignment amount while maintaining the same planned value at the same time. can do.

As described above, in the present invention, in the self-consignment plan on the day before the scheduled date, the machine learning function based on the actual information of the operator or the supply chain, or the manufacturing execution that monitors and manages the work of the production line or the worker. Based on the fluctuation information of the production schedule evaluated by the system (MES: Manufacturing Execution System), each production schedule of the power receiving office is classified into a fixed schedule, an undetermined schedule, and an adjustable schedule, and the power demand is calculated based on the undetermined schedule. Create a self-consignment plan so as not to exceed the contracted power in consideration of the maximum error. At the time of self-consignment execution on the day, the self-consignment plan value and the actual power demand are compared, the adjustable schedule is changed so that imbalance does not occur, and multiple candidates for the production schedule and self-consignment plan are given to the operator for each planning cycle. It provides a regional energy management device (AEMS: Area Energy Management System) to be presented.

The present invention can be applied to regional energy management of a business entity composed of a plurality of business establishments including buildings, factories, universities and the like.

1: Electric power system, 2: Electric power company, 3: Business entity, 4: Power generation establishment, 5: Power receiving establishment, 6: Energy management system (EMS) of power generation establishment, 7: Regional energy management system (AEMS), 8: Manufacturing Execution System (MES), 9: Power Generation Equipment, 10: Load, 11: Production Schedule Management Function, 12: Production / Self-Consignment Plan Candidate Display Function, 13: Demand Forecast Function, 14: Production Schedule Adjustment Function, 15 : Self-consignment planning function, 16 ... Result output function, 17: Operator input function, 18: Machine learning function, 19: Database, 22: Energy management system (EMS) of power receiving office

Claims (15)

It is an energy management device in a business entity equipped with a power generation business and a power receiving business connected to the power system.
EMS is installed in the power generation establishment and the power receiving establishment, and AEMS is installed in the entity.
The EMS of the power receiving establishment predicts the power transition for each production line on the scheduled date, classifies the operation schedule of the production line on the scheduled date into a fixed schedule, an unfixed schedule, and an adjustable schedule.
The AEMS determines the classified operation schedule on the scheduled date, the fixed demand on the scheduled date from the power transition, and the maximum demand in consideration of the undetermined schedule reported from the EMS of the power receiving establishment, and the maximum demand. And the minimum self-consignment amount obtained as the difference between the contracted power of the power receiving establishment and the self-consignment plan output to the power receiving establishment within the range of the fixed demand.
The EMS of the power generation establishment is an energy management device characterized in that power is generated in accordance with the self-consignment planned output defined by the AEMS. The energy management device according to claim 1.
The AEMS adjusts the operation time of the production line classified in the adjustable schedule when the self-consignment amount to the power receiving establishment cannot be determined within the range of the minimum self-consignment amount and the fixed demand. An energy management device characterized by that. The energy management device according to claim 1 or 2.
The AEMS uses the undetermined schedule to create multiple self-consignment plan outputs.
The EMS of the power receiving establishment is set as the production schedule of the power receiving establishment according to the approved self-consignment plan output among the plurality of self-consignment plan outputs presented by the AEMS.
The AEMS is an energy management device characterized in that a self-consignment plan output approved by the EMS of the power receiving establishment is given to the EMS of the power generation establishment as a self-consignment plan output defined by the AEMS. The energy management device according to any one of claims 1 to 3.
The AEMS compares the demand of the day with the self-consignment planned output for each planned time (for example, 30 minutes) on the scheduled date, and when imbalance may occur, the adjustable time width of the adjustable schedule. An energy management device characterized by formulating an operation plan that avoids imbalance by using the above as a parameter. It is an energy management method in an entity that has a power generation establishment and a power receiving establishment connected to the power system.
For the power receiving establishment, the power transition for each production line on the scheduled date is predicted, and the operation schedule of the production line on the scheduled date is classified into a fixed schedule, an unfixed schedule, and an adjustable schedule.
The minimum self obtained as the difference between the maximum demand and the contracted power of the power receiving establishment by determining the fixed demand on the scheduled date and the maximum demand in consideration of the undetermined schedule from the classified operation schedule and the power transition on the scheduled date. Determine the self-consignment plan output to the power receiving establishment within the range of the consignment amount and the fixed demand.
The energy management method, wherein the power generation establishment generates power according to the self-consignment plan output. The energy management method according to claim 5.
When the self-consignment amount to the power receiving establishment cannot be determined within the range of the minimum self-consignment amount and the fixed demand, the operation time of the production line classified in the adjustable schedule is adjusted. Energy management method to do. The energy management method according to claim 5 or 6.
Using the unconfirmed schedule, a plurality of the self-consignment plan outputs are created.
The self-consignment plan output selected from the plurality of self-consignment plan outputs is used as the production schedule of the power receiving establishment.
An energy management method characterized in that the generated power of the power generation establishment is determined according to the selected self-consignment plan output. The energy management method according to any one of claims 5 to 7.
The demand on the day and the self-consignment plan output are compared for each planned time (for example, 30 minutes) on the scheduled date, and when imbalance may occur, the adjustable time width of the adjustable schedule is used as a parameter. An energy management method characterized by formulating an operation plan that avoids imbalance. It is an energy management system in an entity that has a power generation establishment and a power receiving establishment connected to the power system.
Energy production / purchase / transaction of the business entity by evaluating the demand fluctuation amount on the scheduled date based on the demand fluctuation factor determining means that determines the demand fluctuation factor in the energy demand forecast of the business entity on the scheduled date and the demand fluctuation factor. It is equipped with a creation means for creating a plan and a presentation means for presenting a plurality of plans for energy production / purchase / transaction plans created by the preparation means.
When forecasting the energy demand of the business entity, the schedules caused by the energy demand are classified into fixed schedule, unfixed schedule, and adjustable schedule, and the maximum error of demand is evaluated based on the unfixed schedule.
The maximum error of the demand is the difference between the maximum demand and the fixed demand when the fixed demand is determined from the fixed schedule and the adjustable schedule and the maximum demand is obtained in consideration of the unfixed schedule. Energy management system. The energy management system according to claim 9.
An energy management system characterized in that when the energy production / purchase / transaction plan is created, the adjustable schedule is changed to match the planned value. The energy management system according to claim 9 or 10.
An energy management system characterized in that pre-adjustable consumer equipment and schedules are registered as the adjustable schedule. The energy management system according to claim 11.
The pre-adjustable consumer equipment is an air conditioner, an energy management system characterized by adjustment within the comfort range. It is an operation planning method of the energy management system in the business entity equipped with the power generation business and the power receiving business connected to the power system.
In the energy demand forecast of the business entity on the scheduled date, the schedules caused by energy demand are classified into fixed schedule, unfixed schedule, and adjustable schedule, the maximum error of demand is evaluated based on the unfixed schedule, and energy production / purchase. • If you want to create a trading plan, along with the changes the adjustment can be scheduled to fit the planned value,
The maximum error of the demand is the difference between the maximum demand and the fixed demand when the fixed demand is determined from the fixed schedule and the adjustable schedule and the maximum demand is obtained in consideration of the unfixed schedule. How to plan the operation of the energy management system. It is an energy management system in an entity that has a power generation establishment and a power receiving establishment connected to the power system.
The power receiving establishment predicts the power transition of each production line on the scheduled date using the information from the production schedule management function, and adjusts the operation schedule of the own production line on the scheduled date as a fixed schedule, an unfixed schedule, and an adjustment. Classify into possible schedules
The business entity determines the fixed demand on the scheduled date from the classified operation schedule on the scheduled date and the power transition reported from the power receiving business establishment, and the maximum demand in consideration of the undetermined schedule, and sets the maximum demand as the maximum demand. The self-consignment plan output to the power receiving business is determined within the range of the minimum self-consignment amount obtained as the difference of the contracted power of the power receiving business and the fixed demand.
The power generation establishment generates power in accordance with the self-consignment plan output determined by the entity, and
The production schedule management function includes an operator input function or a machine learning function, and the operator input function estimates and inputs an undetermined time width by referring to supply chain information of a manufacturing plant and a database of past undetermined schedules. The result is the information from the production schedule management function, or the machine learning function is characterized by calculating the undetermined time width by machine learning with reference to the database and using the information from the production schedule management function. Energy management system. It is an operation planning method of the energy management system in the business entity equipped with the power generation business and the power receiving business connected to the power system.
The power receiving establishment predicts the power transition of each production line on the scheduled date by using the information from the production schedule management function, and adjusts the operation schedule of the own production line on the scheduled date by the fixed schedule, the unfixed schedule, and the adjustment. Classify into possible schedules
The business entity determines the fixed demand on the scheduled date from the classified operation schedule on the scheduled date and the power transition reported from the power receiving business establishment, and the maximum demand in consideration of the undetermined schedule, and sets the maximum demand as the maximum demand. The self-consignment plan output to the power receiving business is determined within the range of the minimum self-consignment amount obtained as the difference of the contracted power of the power receiving business and the fixed demand.
The power generation establishment generates power in accordance with the self-consignment plan output determined by the business entity, and at the same time,
The production schedule management function refers to the supply chain information of the manufacturing plant and data on the past undetermined schedule, gives the undetermined time width estimated by the operator, or refers to the database on the past undetermined schedule. An operation planning method for an energy management system, characterized by giving a calculated undetermined time width.

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