CN110546842A - energy management device and method, energy management system, and operation planning method for energy management system - Google Patents
energy management device and method, energy management system, and operation planning method for energy management system Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
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Abstract
The invention provides an energy management device and method, an energy management system, and an operation planning method for the energy management system, wherein in an enterprise composed of a power receiving unit and a power generating unit, a self-consignment plan is made by considering the uncertainty of a plurality of production schedules of a manufacturing plant, and further, the production schedule is adjusted to change the power demand so as to comply with the plan value and the same amount. An energy management device for an enterprise having a power generation unit and a power reception unit connected to a power system, characterized in that: an EMS is provided in a power generation unit and a power receiving unit, an AEMS is provided in an enterprise, the EMS of the power receiving unit predicts power transition of each production line of the power receiving unit on a predetermined day, and classifies operation schedules of the production line of the power receiving unit on the predetermined day into a fixed schedule, an undetermined schedule, and an adjustable schedule, the AEMS determines a fixed demand on the predetermined day and a maximum demand in consideration of the undetermined schedule from the operation schedules and the power transition after classification of the predetermined day reported from the EMS of the power receiving unit, determines a minimum self-consignment amount obtained as a difference between the maximum demand and a contract power of the power receiving unit, and outputs the minimum self-consignment amount to the power receiving unit within a range of the fixed demand, and the EMS of the power generation unit generates power according to the self-consignment plan output determined by the AEMS.
Description
Technical Field
The present invention relates to an energy management device and method, an energy management system, and an operation planning method for an energy management system for supplying power in an enterprise including a plurality of power generation units and a plurality of power receiving units, and more particularly, to an energy management device and method, an energy management system, and an operation planning method for an energy management system, which are capable of adjusting power in an enterprise in cooperation with a system for managing scheduling of a process of consuming power in a power receiving unit.
Background
in recent years, demand for mutually regulating electric power in regions has been increasing by combining distributed energy sources such as renewable energy, cogeneration, and storage batteries for the purpose of reducing energy costs and CO2 emissions.
Specifically, for example, in a company having a plurality of units, when there is surplus power generated in a unit (power generation unit) having its own power generation facility and power is insufficient in a unit (power reception unit) purchasing external power, power is distributed from the power generation unit to the power reception unit. In this case, although the company must pay the consignment fee when the power is distributed via the power system, the company is cost-advantageous when the unit price of the generated electricity including the consignment fee is lower than the unit price of the external power. In this regard, in the country, a power self-consignment system was started as a part of the improvement of the power system in 2014, and low consignment costs were applied in the case of power regulation in the same enterprise. Therefore, it is expected that the present invention will be widely used in enterprises having a plurality of facilities, particularly enterprises having a plurality of manufacturing plants.
However, when self-consignment is performed via the power system, for example, there is an obligation that the planned value is proposed on the previous day and power is supplied on the current day so as to comply with the planned value, and if a discrepancy (imbalance) occurs, it is necessary to pay an imbalance fee. In planning, it is important to predict the power demand of the power receiving unit with high accuracy.
As a conventional technique related to power regulation, patent document 1 proposes a method of predicting the amount of power of a power receiving unit (a consumer) based on actual result data, and determining the self-consignment amount of power in consideration of the fuel consumption characteristics, the transmission loss rate, and consignment fees of a generator of a power generation unit.
documents of the prior art
Patent document
Patent document 1: japanese patent laid-open publication No. 2005-261056
disclosure of Invention
Problems to be solved by the invention
However, when the power receiving unit is a manufacturing plant, there are many production processes in which scheduling is not specified, and therefore, an error in power demand prediction increases, and the self-consignment plan is not reliable, and as a result, imbalance may occur. In addition, there is a problem that there is also a risk that the power purchased from the outside exceeds the contract power in the power receiving unit.
The present invention has been made in view of the above problems, and an object thereof is to: provided are an energy management device and method, an energy management system, and an operation planning method for an energy management system, which, in an enterprise comprising a plurality of power receiving units and a plurality of power generating units including a manufacturing plant, make a self-consignment plan in consideration of the uncertainty of a plurality of production schedules of the manufacturing plant, and further change the power demand by adjusting the production schedules to comply with the plan value while keeping the same amount.
Means for solving the problems
as described above, the present invention provides an energy management device in an enterprise including a power generation unit and a power reception unit connected to a power system, the energy management device including:
An EMS (Energy Management System) is installed in the power generating unit and the power receiving unit, an AEMS (Area Energy Management System) is installed in the enterprise,
The EMS of the power receiving unit predicts the power transition of each production line of the power receiving unit on a predetermined day, classifies the operation schedule of the production line of the power receiving unit on the predetermined day into a fixed schedule, an undetermined schedule, and an adjustable schedule,
the AEMS specifies a specified demand for a specified day and a maximum demand in consideration of the unspecified schedule from the operation schedule after classification of a predetermined day reported from the EMS of the power receiving unit and the power transition, specifies a minimum self-consignment amount obtained as a difference between the maximum demand and the contract power of the entire power receiving unit, and outputs the minimum self-consignment amount to the power receiving unit within the range of the specified demand,
The EMS of the power generation unit generates power according to the self-consignment plan output determined by the AEMS.
Further, the present invention provides an energy management method in an enterprise including a power generation unit and a power reception unit connected to a power system, the method comprising:
predicting the power transition of each production line of the power receiving unit on a predetermined day, classifying the operation schedule of the production line of the power receiving unit on the predetermined day into a fixed schedule, an undetermined schedule, and an adjustable schedule,
Determining a specified demand for a specified day and a maximum demand in consideration of the unspecified schedule from the operation schedule after the classification of the predetermined day and the power transition, determining a minimum self-consignment amount obtained as a difference between the maximum demand and the power contract of the entire power receiving unit, and outputting the self-consignment plan to the power receiving unit within a range of the specified demand,
The power generation unit generates power in accordance with the self-consignment plan output.
Further, the present invention provides an energy management system in an enterprise including a power generation unit and a power reception unit connected to a power system, the energy management system including:
A demand fluctuation factor specifying means for specifying a demand fluctuation factor in the energy demand prediction of the entire power receiving unit on a predetermined day; a generation unit configured to evaluate a demand variation amount of a predetermined day based on the demand variation factor, and generate an energy production/purchase/transaction plan of the entire power receiving unit; and a presentation unit that presents the plurality of plans related to the energy production/purchase/transaction plan created by the creation unit.
Further, the present invention provides an operation planning method for energy management in an enterprise including a power generation unit and a power reception unit connected to a power grid, the method comprising:
in the prediction of the energy demand of the entire power receiving unit on a predetermined day, the schedules generated by the energy demand are classified into the fixed schedule, the undetermined schedule, and the adjustable schedule is changed to meet the planned value when the energy production/purchase/transaction plan is made based on the maximum error of the undetermined schedule evaluation demand.
Effects of the invention
according to the present invention, the energy costs of the entire enterprise can be reduced by maximizing the self-consignment sales while keeping the same amount while complying with the planned value.
Drawings
fig. 1 is a diagram showing an example of the structure of an enterprise according to an embodiment of the present invention.
fig. 2 is a diagram showing an example of a system configuration in an enterprise according to the embodiment of the present invention.
fig. 3 is a diagram showing an example of a functional configuration of a production schedule management function according to an embodiment of the present invention.
Fig. 4 is a diagram showing an example of a self-consignment plan creation flow according to the embodiment of the present invention.
Fig. 5 is a diagram showing an example of scheduling of a production line and power demand in a power receiving unit according to an embodiment of the present invention.
fig. 6 is a diagram showing an example of a self-consignment plan created in the AEMS according to the embodiment of the present invention.
Fig. 7 is a diagram showing an example of the self-consignment plan of the day created by the AEMS according to the embodiment of the present invention.
Detailed Description
Embodiments of the present invention will be described below with reference to the drawings.
fig. 1 shows an example of the structure of an enterprise according to an embodiment of the present invention. The enterprise 3 is configured by a plurality of power generation units 4(4a to 4n) and a plurality of power reception units 5(5A to 5M) connected to the power system 1.
Here, the power generation unit 4 is configured by a power generation facility 9, a load 10, and an energy management system (hereinafter, referred to as EMS)6, and can supply electric power to the load 10 of the power generation unit and other power receiving units 5 in the enterprise 3. In addition, when the power is insufficient, external power of a power company or the like is purchased.
On the other hand, the power receiving unit 5 is not provided with the power generation facility 9, and is configured by the load 10 and the EMS22, and power is supplied from external power of another power generating unit 5, the power company 2, and the like to the load 10 of the power receiving unit. When the power receiving unit 5 is a manufacturing plant, a manufacturing execution system (hereinafter referred to as MES)8 that manages the production processes in the power receiving unit 5 is provided. MES8 will be described later.
Further, a regional energy management system (hereinafter referred to as AEMS)7 is installed in the enterprise 3, and the self-consignment management between the power generation unit 4 and the power reception unit 5 in the enterprise 3 is performed. With the AEMS7, signal transmission is performed between the EMS6 provided in the power generating unit 4 and the EMS22 provided in the power receiving unit 5 using a communication line.
fig. 2 shows an example of a system configuration in the enterprise 3 according to the embodiment of the present invention. In addition, since the enterprise 3 includes a plurality of power generation units 4(4a to 4n) and a plurality of power reception units 5(5A to 5M), which have basically the same configuration, a specific configuration will be described below with the power generation unit 4a and the power reception unit 5A as a representative example.
the power generation unit 4a is provided with EMS6a, and the power plant 9 is operated based on the self-consignment plan signal 100 from the AEMS 7.
On the other hand, the power receiving unit 5A in the present embodiment is a manufacturing plant. When the power receiving unit 5A is a manufacturing plant, the EMS22A manages energy in the power receiving unit 5A, but in addition to this, a manufacturing execution system (hereinafter referred to as MES)8A that manages production processes, a production schedule management function 11A that manages scheduling of production processes, and a production/self-consignment plan candidate display function 12A that displays candidates of a production/self-consignment plan are provided.
the AEMS7 includes a demand prediction function 13 that evaluates the power demand of the entire enterprise 3, a production schedule adjustment function 14 that adjusts the production schedule of each power receiving unit 5, a self-consignment planning function 15 that generates a self-consignment plan of the entire enterprise, and a result output function 16 that outputs the result of the self-consignment.
hereinafter, a self-consignment plan creation procedure will be described with reference to fig. 4 showing an example of a self-consignment plan creation flow. The self-consignment plan creation step is executed among the plurality of power receiving units 5(5A to 5M), the plurality of power generating units 4(4a to 4n), and the AEMS7, and is a flow of creating a self-consignment plan on the AEMS7 side based on the power demand prediction information presented on the power receiving units 5(5A to 5M) and the power generating units 4(4a to 4n) side, and determining whether or not the self-consignment plan can be accepted in the power receiving units 5(5A to 5M).
First, processing steps S1 to S4 are executed on the power receiving unit 5(5A to 5M) side, and the power demand prediction information to be presented to the AEMS7 side is determined.
Specifically, first, in the processing step S1 in fig. 4, the MES8 of each power receiving unit 5 predicts the power consumption of each line from the existing results or by calculation. In step S2, in each power receiving unit 5, the production schedule management function 11 classifies the power consumption of each production line into a fixed schedule, an undetermined schedule, and an adjustable schedule as shown in fig. 5 based on the information input in the MES 8.
Here, fig. 5 schematically shows the schedules 5AL1S, 5AL2S, … … 5ALPs of the production lines in the sunday (predetermined day) and the temporal changes in the power demands 5AL1P, 5AL2P, … … 5 ALPPs for the production lines 5AL1, 5AL2, … … 5ALP provided in the power receiving unit 5A.
the line schedule 5AL1S of the line 5AL1 provided in the power receiving unit 5A is a line in which the scheduled operation time on the next day (scheduled day) is determined to be 8 to 20 points, preparation for various materials, equipment, personnel, transportation procedures, and the like is completed, and the next day (scheduled day) should be operated as scheduled. The power demand in this case peaks between 10 and 15 points as in 5AL 1P. In this case, the line schedule 5AL1S is defined as a deterministic schedule.
the line schedule 5AL2S of the line 5AL2 provided in the power receiving unit 5A is in a state in which the scheduled operation time on the first day of the day (the scheduled day) is 10 to 18 points as shown by the solid line, but the scheduled start time Ts may be earlier than 10 points, and if the day of the day is less than the day (the scheduled day), the scheduled start time Ts cannot be specified. In the planning stage of today, for example, the time width dTu of 8 to 10 points is an undetermined time width, and in this case, the line schedule 5AL2S is defined as an undetermined schedule. When the schedule is not determined, the start and end timings of the power demand variation pattern vary as shown by the broken line in accordance with the possibility of the job being advanced with respect to the power demand 5AL2P on the next day (predetermined day).
the line scheduling 5ALPs for the line 5ALP of the power receiving unit 5A is in a state where the operation schedule on the next day (predetermined day) is 9 to 18 points, but the operation schedule can be moved to 11 to 20 points for operation because the operation schedule is completed within the next day (predetermined day), for example. When the latter time period is selected, the scheduled start time Ts is moved by the adjustable time width dTc and operated. In this case, the line schedule 5ALPS is defined as an adjustable schedule.
In this way, in the processing step S2, the power consumption of each production line is defined and classified by the production schedule management function 11 into any one of the fixed schedule, the undetermined schedule, and the adjustable schedule on the basis of the information input in the MES 8.
further, in processing step S3, the production schedule management function 11 predicts an undetermined time width dTu for the undetermined schedule. For example, in the above description, the production line schedule 5AL2S which is an undetermined schedule advances the schedule of 10 points to 8 points, but a time other than 8 points is assumed as the scheduled start time Ts. Here, the production schedule management function 11 has an operator input function 17 or a machine learning function 18, as shown in fig. 3. The operator input function 17 outputs the result of estimating and inputting the undetermined time width dTu by an operator with reference to the supply chain information of the manufacturing plant, the database 19 relating to past undetermined schedules, to the EMS 22. Alternatively, the machine learning function 18 refers to the database 19, calculates the undetermined time width dTu by machine learning, and inputs the undetermined time width to the EMS 22.
In step S4 of fig. 4, the EMS22 of each power receiving unit 5 predicts the power demand including an error for each power receiving unit using the undetermined time width dTu as a parameter. If this is shown in the example of the power receiving unit 5A in fig. 5, the total power demand at each time is obtained for each of the power demands 5AL1P, 5AL2P, … … 5 ALPPs determined for the schedules 5AL1S, 5AL2S, … … 5 ALPSs of the production line. In this case, since the specified power and the unspecified power are present at each time, the total of the specified power and the total of the unspecified power are grasped in a divided manner. Since the undetermined time width dTu is used as a parameter, the power demand prediction in the plurality of modes is performed. The portion corresponding to the sum of undetermined powers is an error in the power receiving unit.
In processing step S5 in fig. 4, AEMS7 calculates the power demand of the entire power receiving unit based on the power demand prediction information of the power receiving unit 5 reported from each power receiving unit 5(5A to 5M).
Fig. 6 shows an example of a self-consignment plan created on a day before a predetermined day in AEMS 7. The concept of the present invention will be described with reference to fig. 6. The self-consignment plan indicates the electric power (electric power transition) at each time of 24 hours on the next day (predicted day), but P1 in the electric power characteristics shown here is the specified demand part of the electric power demand of the entire power receiving units calculated from the electric power demand prediction information reported from each power receiving unit 5(5A to 5M). In all power receiving units (5A to 5M), determination demand is evaluated from power at the time of scheduling in which a job is first scheduled in the schedule-ready schedule, power at the time of scheduling in which a job is first scheduled in the schedule-adjustable schedule, and the determination demand portion P1 is calculated as a determination demand by summing up all the power receiving units. In addition, the power demand of the power generation unit is not included at this stage. In fig. 5, the sum of the background-colored portions at each time corresponds to the determination demand P1.
The maximum demand P2 in consideration of the undetermined schedule of fig. 6 is obtained by adding the fluctuation amount of the undetermined demand P1 for each time. The maximum demand in consideration of the undetermined schedule is the result of power demand prediction of all cases including the undetermined time width dTu as a parameter and varying it in all power receiving units.
However, in the case where the enterprise 3 in fig. 1 needs to satisfy the maximum demand P2 in consideration of the undetermined schedule by the amount of power generation from the power generation units 4(4a to 4n) and the external power of the power company 2 or the like, the external power of the power company 2 or the like is limited by the contract power P3 (the total of the contract powers of the power receiving units), and the power of the contract power P3 or more cannot be obtained from the power company 2. In fig. 6, the minimum self-consignment amount P4 is described in consideration of the difference between the undetermined scheduled maximum demand P2 (undetermined demand maximum value) and the contract power P3. Since power generation includes consumption of power demand by a power generation unit, the amount of power generation to satisfy the demand by a power reception unit is herein classified as "self-consignment amount".
The minimum self-consignment amount P4 shown in fig. 6 represents the minimum self-consignment amount in the case where the power receiving unit 5 receives the same amount of external power as the contract power P3 of the power receiving unit and the self-consignment shortage amount is generated by itself. In the present invention, a self-consignment plan is made to determine the self-consignment plan value from the power generation unit 4 so as to be within the range of the determined demand P1 and the minimum self-consignment amount P4 at each time slot. In this case, in the generator operation plan of the power generation unit in step S7, the power demand of the entire power generation unit is included in the power demand of the entire power reception unit in fig. 6, and the operation plan is optimized so as to reduce the power generation cost. In the optimization, the ratio of the amount of electricity purchased to the amount of self-generated electricity is determined in consideration of the cost of electricity generation and the like.
in processing step S14 of fig. 4, the total power demand of the entire enterprise is determined by adding the total power demand of the power receiving unit determined in processing step S5 to the total power demand prediction result of the power generating unit evaluated in EMS6 of the power generating unit 4.
In step S6 of fig. 4, the production schedule adjustment function 14 of the AEMS7 corrects the power demand section of the entire power receiving unit based on the adjustable time dTc of the adjustable schedule from each power receiving unit. As a result of changing the adjustable time dTc of the adjustable schedule, the relationship between the powers shown in fig. 6 is changed.
in processing step S7 of fig. 4, the self-consignment planning function 15 of the AEMS7 creates a plurality of operation plans for the power generation facilities in the entire power generation unit for the entire power demand of the enterprise, which is obtained by summing the corrected power demand of the entire power reception unit and the corrected power demand of the entire power generation unit.
In the operation plan of the power generation facility in the processing step S8 in fig. 4, a plurality of operation plans are created under the constraint condition that the power purchased from the outside by each power generation unit and power reception unit is equal to or less than the contract power. If the restriction condition is not satisfied, readjustment of the adjustable schedule shown in step S6 is performed.
in processing step S9 in fig. 4, a plurality of self-consignment plans are output from the AEMS7 to the EMS22 of each power receiving unit 5.
In processing step S10 in fig. 4, EMS22 and MES8 of each power receiving unit 5 present a plurality of self-consignment plans and a plurality of production scheduling plans to the operator for the self-consignment plan received from AEMS 7.
In processing step S11 in fig. 4, the operator of each power receiving unit 5 selects one pattern from the plurality of patterns. If the condition is not satisfied, the process returns to step S6 of AEMS7, and readjustment of the adjustable schedule is performed again to correct the power demand of the entire power receiving unit.
In processing step S12 of fig. 4, the MES8 outputs the production schedule after the operators of all the power receiving units have confirmed the self-consignment plan and the production schedule plan.
further, in processing step S13 of fig. 4, AEMS7 outputs the power generation plan to all the power generation units.
fig. 7 shows an example of the self-consignment plan and the results of the current day to all the power receiving units created in the AEMS 7. The operation plan for the self-consignment on the day is repeatedly performed at intervals of, for example, 30 minutes according to the procedure shown in fig. 4. Basically, the self-consignment amount from the power generation unit 4 to the power reception unit 5 is equal to or less than the demand amount of the power reception unit, and the difference is satisfied by purchasing external power. However, the demand may be lower than the self-consignment plan value due to an urgent change in the production plan of the power receiving unit 5. In this case, since unbalance occurs, if the unbalance cost is high, the operation cost may increase. Therefore, in the present embodiment, the demand on the current day and the self-consignment plan value are compared at each plan time (for example, 30 minutes), and if there is a possibility of imbalance, the operation plan is made so as to avoid imbalance using the adjustable time width dTc of the adjustable schedule shown in fig. 5 as a parameter.
In the above description of the embodiment, the representative adjustable demand side equipment classified as the adjustable schedule is the air conditioner, but even in this case, it is desirable to use the remaining capacity of the air conditioner on the premise that the comfort of the occupants is ensured to the minimum without classifying the entire capacity of the air conditioner as the adjustable schedule.
As described above, according to the method of the present invention, it is possible to provide an operation planning apparatus and method for making a self-consignment plan in consideration of uncertainty of a plurality of production schedules of a manufacturing plant in an enterprise including a plurality of power receiving units and a plurality of power generating units including the manufacturing plant, and further changing a power demand by adjusting the production schedules, thereby maximizing the self-consignment amount while keeping the same amount while complying with the plan values, thereby reducing energy costs.
as described above, in the present invention, in the self-consignment plan on the day before the predetermined day, the respective production schedules of the power receiving unit are classified into the fixed schedule, the undetermined schedule, and the adjustable schedule on the basis of the variation information of the production schedule evaluated by the machine learning function of the operator or the actual performance information based on the supply chain, or the Manufacturing Execution System (MES) that monitors and manages the work of the production line and the worker, and the self-consignment plan is created on the basis of the undetermined schedule so as not to exceed the contract power in consideration of the maximum error of the power demand. A regional Energy Management System (AEMS) is provided, which compares the self-consignment plan value with the actual performance of the power demand when performing the self-consignment on the same day, changes the adjustable schedule so as not to generate imbalance, and presents a plurality of candidates for the production schedule and the self-consignment plan to the operator in each planning period.
Industrial applicability
the present invention can be applied to regional energy management of an enterprise constituted by a plurality of units constituted in a building, a factory, a university, or the like.
Description of the reference numerals
1: an electric power system; 2: an electric power company; 3: an enterprise; 4: a power generation unit; 5: a power receiving unit; 6: an Energy Management System (EMS) of the power generation unit; 7: a regional energy management system (AEMS); 8: a Manufacturing Execution System (MES); 9: a power generation device; 10: a load; 11: a production scheduling management function; 12: a production/self-consignment plan candidate display function; 13: a demand prediction function; 14: a production scheduling adjustment function; 15: a self-consignment plan function; 16: a result output function; 17: an operator input function; 18: a machine learning function; 19: a database; 22: energy Management System (EMS) of the power receiving unit.
Claims (16)
1. An energy management device in an enterprise having a power generation unit and a power reception unit connected to a power system,
EMS is installed in the power generating unit and the power receiving unit, AEMS is installed in the enterprise,
The EMS of the power receiving unit predicts the power transition of each production line of the power receiving unit on a predetermined day, classifies the operation schedule of the production line of the power receiving unit on the predetermined day into a fixed schedule, an undetermined schedule, and an adjustable schedule,
The AEMS specifies a specified demand for a specified day and a maximum demand in consideration of the unspecified schedule from the operation schedule after classification of a predetermined day reported from the EMS of the power receiving unit and the power transition, specifies a minimum self-consignment amount obtained as a difference between the maximum demand and a contract power of the power receiving unit, and outputs a self-consignment plan to the power receiving unit within the range of the specified demand,
The EMS of the power generation unit generates power according to the self-consignment plan output determined by the AEMS.
2. The energy management device according to claim 1,
The AEMS adjusts the operation timing of the production line classified into the adjustable schedule when the minimum self-consignment sales volume and the self-consignment sales volume to the power receiving unit within the range of the determination demand cannot be determined.
3. The energy management device according to claim 1 or 2,
The AEMS uses the undetermined schedule to make a plurality of self-consignment plan outputs,
The EMS of the power receiving unit outputs a confirmed self-consignment plan among the plurality of self-consignment plan outputs presented by the AEMS as a production schedule of the power receiving unit,
The AEMS provides the self-consignment plan output confirmed by the EMS of the power receiving unit to the EMS of the power generating unit as the self-consignment plan output determined by the AEMS.
4. The energy management device according to any one of claims 1 to 3,
The AEMS compares the demand of the current day with the self-consignment plan output at a planned time of, for example, 30 minutes on the predetermined day, and if there is a possibility of imbalance, makes an operation plan so as to avoid imbalance using the adjustable time width of the adjustable schedule as a parameter.
5. An energy management method for an enterprise having a power generation unit and a power reception unit connected to a power system,
Predicting the power transition of each production line of the power receiving unit on a predetermined day, classifying the operation schedule of the production line of the power receiving unit on the predetermined day into a fixed schedule, an undetermined schedule, and an adjustable schedule,
determining a fixed demand for a predetermined day and a maximum demand in consideration of the non-fixed schedule based on the operation schedule after the classification of the predetermined day and the power transition, determining a minimum self-consignment amount obtained as a difference between the maximum demand and a contract power of the power receiving unit, and outputting the self-consignment plan to the power receiving unit within a range of the fixed demand,
the power generation unit generates power in accordance with the self-consignment plan output.
6. The energy management method according to claim 5,
When the minimum self-consignment amount and the self-consignment amount to the power receiving unit within the range of the determination demand cannot be determined, the operation timing of the line classified into the adjustable schedule is adjusted.
7. The energy management method according to claim 5 or 6,
Creating a plurality of said self-consignment plan outputs using said undetermined schedule,
The self-consignment plan output selected from the plurality of self-consignment plan outputs is used as the production schedule of the power receiving unit,
And determining the generated power of the power generation unit according to the selected self-consignment plan output.
8. The energy management method according to any one of claims 5 to 7,
On the predetermined day, the demand on the current day and the self-consignment plan output are compared at a planned time interval of, for example, 30 minutes, and if there is a possibility of imbalance, an operation plan is made so as to avoid imbalance using the adjustable time width of the adjustable schedule as a parameter.
9. an energy management system in an enterprise including a power generation unit and a power reception unit connected to a power grid, the energy management system comprising:
a demand variation factor specifying unit that specifies a demand variation factor in the energy demand prediction of the enterprise on a predetermined day;
A creating unit that evaluates a demand variation amount of a predetermined day based on the demand variation factor, and creates an energy production/purchase/transaction plan of the enterprise; and
and a presentation unit that presents the plurality of plans related to the energy production/purchase/transaction plan created by the creation unit.
10. The energy management system of claim 9,
When predicting the energy demand of the enterprise, the scheduling generated by the energy demand is classified into determined scheduling, undetermined scheduling and adjustable scheduling, and the maximum error of the demand is evaluated according to the undetermined scheduling.
11. The energy management system of claim 10,
In the case of making the energy production/purchase/transaction plan, the adjustable schedule is changed to conform to the plan value.
12. the regional energy management system of claim 10 or 11,
The on-demand devices and schedules that are adjustable in advance are registered as the adjustable schedule.
13. The energy management system of claim 12,
The demand side equipment capable of being adjusted in advance is air conditioning equipment, and is adjusted within the range of comfort.
14. An operation planning method for an energy management system in an enterprise including a power generation unit and a power reception unit connected to a power grid,
In the energy demand prediction of the enterprise on the scheduled day, the schedules generated due to the energy demand are classified into a fixed schedule, an undetermined schedule, and an adjustable schedule, and the adjustable schedule is changed to conform to a plan value in the case of making an energy production/purchase/transaction plan according to the maximum error of the undetermined schedule evaluation demand.
15. An energy management system in an enterprise including a power generation unit and a power reception unit connected to a power system,
the power receiving unit predicts the power transition of each production line on a predetermined day using information from the production schedule management function, classifies the operation schedule of the production line on the predetermined day into a fixed schedule, an undetermined schedule, and an adjustable schedule,
The enterprise specifies a specified demand for a specified day and a maximum demand in consideration of the unspecified schedule on the basis of the classified operation schedule and the power transition for the specified day reported from the power receiving unit, specifies a minimum self-consignment amount obtained as a difference between the maximum demand and the power contract for the power receiving unit, and outputs a self-consignment plan to the power receiving unit within the specified demand,
The power generation unit generates power in accordance with the self-consignment plan output determined by the enterprise, and,
The production schedule management function has an operator input function of estimating and inputting a result of an undetermined time width as information from the production schedule management function with reference to supply chain information of a manufacturing plant and a database relating to past undetermined schedules, or a machine learning function of calculating an undetermined time width as information from the production schedule management function by machine learning with reference to a database.
16. an operation planning method for an energy management system in an enterprise including a power generation unit and a power reception unit connected to a power grid,
the power receiving unit predicts the power transition of each production line on a predetermined day using information from the production schedule management function, classifies the operation schedule of the production line on the predetermined day into a fixed schedule, an undetermined schedule, and an adjustable schedule,
the enterprise specifies a specified demand for a specified day and a maximum demand in consideration of the unspecified schedule on the basis of the classified operation schedule and the power transition for the specified day reported from the power receiving unit, specifies a minimum self-consignment amount obtained as a difference between the maximum demand and the power contract for the power receiving unit, and outputs a self-consignment plan to the power receiving unit within the specified demand,
the power generation unit generates power in accordance with the self-consignment plan output determined by the enterprise, and,
The production schedule management function provides an undetermined time width estimated by an operator with reference to supply chain information of the manufacturing plant and a database relating to past undetermined schedules, or provides an undetermined time width calculated with reference to a database relating to past undetermined schedules.
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| PCT/JP2017/021953 WO2018229895A1 (en) | 2017-06-14 | 2017-06-14 | Energy management device and method, energy management system, and energy management system operation planning method |
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| JP7229901B2 (en) * | 2019-11-27 | 2023-02-28 | 京セラ株式会社 | Self-consignment system and self-consignment method |
| CN113346555B (en) * | 2021-05-25 | 2023-06-09 | 西安交通大学 | Daily rolling scheduling method considering electric quantity coordination |
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| WO2018229895A1 (en) | 2018-12-20 |
| JPWO2018229895A1 (en) | 2019-12-19 |
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