JP2022186394A - Management device, management method, and management program - Google Patents

Abstract

To achieve load leveling on the entire power system.SOLUTION: A management device 10 includes a plan creation part 15A. The plan creation part 15A creates a recharge/discharge plan for storage batteries 25 and a power generation plan for power generation systems 20 that maximize a predicted value of the revenue from electricity sales for each power generation system 20, which has a PV 26 and the storage battery 25 to be charged only by the PV 26, on the basis of a forecasted power generation value of the PV 26 and a unit price of power sold.SELECTED DRAWING: Figure 2

Description

TECHNICAL FIELD Embodiments of the present invention relate to a management device, a management method, and a management program.

In recent years, technical development of a virtual power plant (VPP), in which distributed energy resources (DER) are remotely and integratedly controlled and a plurality of power generation companies are used as a power generation balancing group, has been developed.

In addition, there are also cases where renewable energy generators such as solar power generators and wind power generators, and power generation systems equipped with renewable energy generators and storage batteries are used as DERs. For example, a system has been disclosed that predicts the amount of power output by a power generation system that includes a storage battery and a photovoltaic power generation device, and notifies an administrator such as an electric power company that manages the entire power system in advance.

Japanese Patent Application Laid-Open No. 2020-54050

However, the prior art does not take into consideration the charging/discharging plan of the storage battery and the power generation plan of the power generation system, which increase the profit of the power generation system, and there is room for improvement in terms of load leveling of the entire power system.

An object of the present invention is to provide a management device, a management method, and a management program capable of achieving load leveling of the entire power system.

A management device according to an embodiment, for each power generation system having a renewable energy power supply and a storage battery charged only from the renewable energy power supply, based on the predicted power generation value of the renewable energy power supply and the unit price of electric power sales. A plan creation unit that creates a charge/discharge plan for the storage battery and a power generation plan for the power generation system that maximizes the predicted value of the electricity profit.

It is a figure which shows an example of the outline|summary of a power demand system. It is a figure which shows an example of the functional structure of a management apparatus and an electric power generation system. FIG. 4 is an explanatory diagram of an example of a charge/discharge plan and a power generation plan that maximize an objective function; FIG. 4 is an explanatory diagram of an example of charge/discharge control of a storage battery; FIG. 4 is a schematic diagram of an example of a power generation pattern; FIG. 10 is a diagram showing an example of a probability distribution of occurrence probabilities of power generation patterns; FIG. 5 is a diagram showing an example of the occurrence probability of power generation patterns and PV power generation predicted values; It is a figure which shows an example of the pattern of a storage battery SoC operation margin. It is a figure which shows an example of transition of storage battery SoC. It is a figure which shows an example of transition of storage battery SoC. It is a figure which shows an example of transition of storage battery SoC. FIG. 4 is an explanatory diagram of an example of a charging/discharging plan and a power generation plan for upper and lower limits of an operational charging rate that maximizes an objective function; 4 is a flow chart showing an example of the flow of a charging/discharging plan and a power generation plan creation process for maximizing an objective function; 4 is a flow chart showing an example of the flow of a charging/discharging plan and a power generation plan creation process for maximizing an objective function; 4 is a flow chart showing an example of the flow of a charge/discharge plan and a power generation plan creation process for an operation margin that maximizes an objective function.

Embodiments of a management device, a management method, and a management program according to the present invention will be described below with reference to the drawings. In the following description, the term "time" refers to two types: a moment of time and a duration of a unit time. The unit time is, for example, 30 minutes.

FIG. 1 is a diagram showing an example of an outline of a power system S according to this embodiment.

The power system S includes an aggregator 1 , a consumer 4 , a wholesale power market 5 , a cross-regional organization 6 and a plurality of power plants 8 .

OCCTO 6 is an organization promoting cross-regional operation of electric power, and in order to ensure a stable supply of electric power, it monitors the supply and demand situation of electric power nationwide and the operation situation of the electric power system 2 24 hours a day, and manages the electric power supply and demand of system operators. do. All users of the power system 2 (power generation companies, retail electricity companies, etc.) are supposed to submit power generation and demand plans (annual, monthly, weekly, day-ahead) to OCCTO 6. , the cross-regional organization 6 confirms their consistency and forwards them to the system operator.

The aggregator 1 is a business operator that bundles and manages a plurality of power plants 8 . That is, the multiple power plants 8 function as a power generation BG (balancing group) 3 .

The aggregator 1 predicts the amount of power generated by each of the plurality of power plants 8, sells the power on the wholesale power market 5, and conducts direct power transactions with the consumers 4, and the like. In addition, the aggregator 1 contributes to load leveling of the electric power system 2 by controlling the power generation amount of each power plant 8 based on the power generation schedule of the power plant 8 and the like.

The aggregator 1 has a management device 10 . The management device 10 creates a power generation plan for the power plant 8 and reports it in advance to the cross-regional organization 6 by a predetermined date. For example, the management device 10 reports the power generation plan for the next day to the cross-regional organization 6 the day before, and reports the power generation plan revised as necessary to the cross-regional organization 6 on the current day.

The power plant 8 is, for example, a power generation system 20, a power plant 21, a storage battery 22, and the like.

The power generation system 20 includes a storage battery 25 and PV (Photovoltaics) 26 . The PV 26 is a photovoltaic power generator and an example of a renewable energy power source. The power generation system 20 may be configured with a renewable energy power supply. For this reason, the power generation system 20 may be configured to include a power generation device that uses the environment and resources that exist in the natural world, such as geothermal heat, wind, and water, instead of the PV 26 . In the present embodiment, a configuration in which the power generation system 20 includes a PV 26 that is a photovoltaic power generation device will be described as an example.

The storage battery 25 of the power generation system 20 is charged only from the PV 26 . That is, the power generation system 20 controls the power generation amount of the power generation system 20 by controlling the charging and discharging of the storage battery 25 .

In this embodiment, an example will be described in which the management device 10 creates a charge/discharge plan for the storage battery 25 of each of the one or more power generation systems 20 included in the power generation BG3 and a power generation plan for the power generation system 20 .

The management device 10 is a PC (Personal Computer) or the like, and includes a CPU (Central Processing Unit), a memory, a HDD (Hard Disk Drive), a communication interface (I/F), a display device such as a display, and a keyboard. , and an input device such as a mouse.

FIG. 2 is a diagram showing an example of functional configurations of the management device 10 and the power generation system 20 according to this embodiment.

First, the power generation system 20 will be described. The power generation system 20 includes a power meter 23 and a power generation section 24 .

The power meter 23 measures the amount of power output from the power generation section 24 . That is, the power meter 23 measures the power generation system output, which is the amount of power generated by the power generation system 20 . The power generation system output is the amount of power supplied from the power generation system 20 to the power grid 2 . The watt-hour meter 23 measures the power generation system output per unit time.

A unit time is a management time managed by the power system S. As shown in FIG. In this embodiment, a form in which the unit time is 30 minutes will be described as an example.

The power generation unit 24 includes a storage battery 25 , a PV 26 and a control unit 27 . As described above, the storage battery 25 is charged only from the PV 26 in this embodiment. Control unit 27 controls charging and discharging of storage battery 25 and the like based on the charging and discharging plan and the power generation plan received from management device 10 . Details of this control will be described later. In addition, the control unit 27 outputs the PV power generation amount of the PV 26, the charge/discharge power amount of the storage battery 25, and the storage battery SoC (State Of Charge), which is the charging rate of the storage battery, to the management device 10 every unit time. These pieces of information may be configured to be output from each of watt hour meter 23, storage battery 25, and PV 26 to management device 10. FIG.

The management device 10 will be explained. The management device 10 includes a communication section 11 , an input section 12 , a display section 13 , a storage section 14 and a control section 15 . The communication unit 11, the input unit 12, the display unit 13, the storage unit 14, and the control unit 15 are communicably connected via a bus or the like.

The communication unit 11 communicates with the wholesale power market 5 , the cross-regional organization 6 , the prediction system 7 and the power generation system 20 . The input unit 12 is an input device such as a keyboard that receives operation input by the user. The display unit 13 is a display that displays various information. The storage unit 14 stores various information. The storage unit 14 is, for example, an HDD, a memory, or the like.

The control unit 15 is a calculation unit that executes information processing. The control unit 15 includes a plan creation unit 15A, a power generation system control unit 15B, a power generation pattern creation unit 15C, an imbalance calculation unit 15D, and a display control unit 15E.

At least one of the plan creation unit 15A, the power generation system control unit 15B, the power generation pattern creation unit 15C, the imbalance calculation unit 15D, and the display control unit 15E is implemented by one or more processors, for example. For example, each of the above units may be implemented by causing a processor such as a CPU to execute a program, that is, by software. Each of the above units may be implemented by a processor such as a dedicated IC (Integrated Circuit), that is, by hardware. Each of the above units may be implemented using both software and hardware. When multiple processors are used, each processor may implement one of the units, or may implement two or more of the units.

The plan creation unit 15A creates a charge/discharge plan and a power generation plan that maximize the predicted value of the profit from selling electricity, based on the predicted value of power generation of the PV 26 and the unit price of electricity sales.

First, the plan creating unit 15A derives the predicted power generation value of the PV 26 and the unit price of electricity sold.

The power generation prediction value of the PV 26 is a prediction value of the power generation amount of the PV 26 per unit time. Below, the power generation prediction value of the PV 26 may be referred to as a PV power generation prediction value. The plan creation unit 15A derives a PV power generation prediction value for each unit time based on the measured value of the PV power generation amount of the PV 26 acquired from the power generation system 20, weather information such as the amount of sunshine, and the like. The plan creation unit 15A may derive the PV power generation prediction value by acquiring the PV power generation prediction value from the prediction system 7, the input unit 12, the storage unit 14, or the like.

The power selling price is the selling price of the power output from the power generation system 20 per unit time. The power selling unit price may be either a transaction price prediction value in the wholesale power market 5 or a transaction price predetermined by a contract. In the present embodiment, an example will be described in which the electricity sales unit price is a transaction price prediction value for each unit time. The plan creating unit 15A may derive the power selling unit price by obtaining the power selling unit price from the wholesale power market 5, the prediction system 7, or the like, for example.

The plan preparation unit 15A prepares a charge/discharge plan and a power generation plan that maximize the predicted value of the power sales profit of the power generation system 20 based on the PV power generation predicted value and the electricity sales unit price. In the present embodiment, an example will be described in which the plan creation unit 15A creates a charge/discharge plan and a power generation plan for 24 hours of the next day.

Specifically, the plan creating unit 15A calculates the optimum solution of the optimization problem that maximizes the objective function F of Equation (1) under the constraint conditions shown in Equations (2) to (6). By calculating the optimum solution that maximizes this objective function F, the plan creating unit 15A calculates a charge/discharge plan and a power generation plan for each unit time for each power generation system 20 .

The optimization problems of equations (1) to (6) are called linear programming problems. The plan creating unit 15A calculates an optimum solution that maximizes the objective function F of Equation (1) by a technique such as the simplex method or the interior point method.

The variables of the above formula (1) are as follows.

C _t : Amount of charge to storage battery 25 at time t (kWh)
D _t : Amount of discharge from storage battery 25 at time t (kWh)

The parameters of the above formulas (1) to (6) are as follows.
UP _t : Predicted unit price of electric power sold at time t (yen/kWh)
PV _t : PV power generation predicted value at time t (kWh)
C _min : Minimum electric energy (kWh) that can be charged in 30 minutes
C _max : Maximum electric energy (kWh) that can be charged in 30 minutes
D _min : Minimum electric energy (kWh) that can be discharged in 30 minutes
D _max : maximum electric energy (kWh) that can be discharged in 30 minutes
SoC _min : Lower limit of operation of storage battery SoC SoC _max : Upper limit of operation of storage battery SoC η _c : Charging efficiency of storage battery 25 η _D : Discharge efficiency of storage battery 25

In equation (1), D _t and C _t correspond to the charge/discharge plan for the storage battery 25 at each time t. In Equation (1), {PV _t −(D _t −C _t )} corresponds to the power generation plan of the power generation system 20 at each time t.

The objective function F represented by Equation (1) indicates the predicted value of the power sales profit for the time T to be planned. In this embodiment, the time T to be planned is 24 hours on the day following the day when this process is executed. t indicates the time at 30-minute intervals, which is the unit time.

The plan creation unit 15A determines the parameters of formulas (1) to (6), the minimum power amount C _min that can be charged in 30 minutes (unit time), the maximum power amount that can be charged in 30 minutes C _max , 30 minutes maximum power D _max that can be discharged in 30 _{minutes, lower operating limit SoC min of} storage battery SoC, upper operating limit SoC _max of storage battery SoC, charging efficiency η _c of storage battery, and discharging efficiency of storage battery η _D is obtained by reading from the storage unit 14 . Note that the plan creation unit 15A may acquire at least one of these parameters from the power generation system 20 or the like.

In addition, as described above, the plan creation unit 15A derives PV _t , which is the PV power generation predicted value, and UP _t , which is the electricity selling price.

Then, the plan creation unit 15A obtains the values of D _t and C _t that maximize the objective function F, which is the predicted value of the profit from selling electricity, after satisfying the constraints of formulas (2) to (6). . In other words, the planning unit 15A inputs the obtained and derived parameters to the equations (1) to (6), and obtains the optimum solution that is the values of D _t and C _t that maximize the objective function F. Through this process of obtaining the optimum solution, the plan creation unit 15A creates a charge/discharge plan that defines the charge amount Ct to the storage battery 25 and the discharge amount _Dt from the storage battery 25 at each time _t .

In addition, the plan creation unit 15A obtains the values of D _t and C _t that maximize the objective function F, and is represented by {PV _t - (D _t - C _t )} in Equation (1), A power generation plan is created that defines the power generation amount of the power generation system 20 at each time t.

FIG. 3 is an explanatory diagram of an example of a charge/discharge plan and a power generation plan in which the objective function F is maximized. FIG. 3 shows the unit price of electric power (yen/kWh) at time t, the amount of electric power (kWh) at time t, and the amount of power stored in the storage battery (kWh) at time t.

A diagram 30 represents the predicted value UP _t of the electricity selling price at time t. A diagram 32 represents the predicted PV power generation value PV _t at time t. A diagram 34 represents a power generation plan {PV _t −(D _t −C _t )} of the power generation system 20 at each time t. A diagram 36 represents the planned value of the amount of power stored in the storage battery 25 .

As shown in the diagram 30, the predicted value UP _t of the electric power selling price at time t fluctuates according to time t. Further, as shown in the diagram 32, the PV power generation prediction value PV _t at the time t of the PV 26 has a large amount of generated power during daytime hours, for example.

The plan creation unit 15A obtains the charge amount Ct to the storage battery 25 at time _t and the discharge amount Dt from the storage battery 25 at time _t that maximize the objective function F, which is the predicted value of the electricity sales profit. By this process, the plan creation unit 15A creates a charge/discharge plan that discharges during times when the unit price of electricity is high and charges during times when the unit price of electricity is low.

Specifically, for example, when the PV 26 starts generating power, charging of the storage battery 25 is started at 6:00, discharge is performed during the time period from 8:00 to 8:30 when the unit price of electricity is high, and 11:00 when the unit price of electricity is low. A charge/discharge plan is created in which the battery is charged in the time slot from 12:00 to 12:00 and discharged in the time slot from 17:00 to 18:00 when the unit price of electricity is high.

Therefore, the power generation system output, which is the power generation plan for each time t of the power generation system 20 represented by {PV _t −(D _t −C _t )}, is represented by the diagram 34 .

Further, as shown in a diagram 36, a charging/discharging plan that satisfies the constraints of the operation upper limit SoC _max of the storage battery SoC, which is the upper limit of the charge amount of the storage battery 25, and the operation upper limit SoC _min of the storage battery 25, which is the lower limit of the charge amount of the storage battery 25, is created. be.

Therefore, the plan creation unit 15A can create a charge/discharge plan for the storage battery 25 and a power generation plan for the power generation system 20 that maximize the predicted value of the power sales profit of the power generation system 20 .

Returning to FIG. 2, the description is continued. The plan creation unit 15A submits the created power generation plan to the OCCTO 6 . In addition, the plan creation unit 15A outputs the created charge/discharge plan and power generation plan to the power generation system control unit 15B and the display control unit 15E.

Display control unit 15E displays on display unit 13 the charge/discharge plan and the power generation plan received from plan creation unit 15A. Therefore, the user can confirm the charging/discharging plan and the power generation plan by visually recognizing the display unit 13 .

Power generation system control unit 15B controls power generation system 20 according to the charge/discharge plan and the power generation plan received from plan creation unit 15A.

For example, the power generation system control unit 15B outputs the charge/discharge plan and the power generation plan received from the plan creation unit 15A to the power generation system 20 via the communication unit 11 .

Control unit 27 of power generation system 20 that receives the charge/discharge plan and the power generation plan from management device 10 controls storage battery 25 based on the received charge/discharge plan and power generation plan. Specifically, the control unit 27 controls charging and discharging of the storage battery 25 according to a charging/discharging plan for the storage battery 25 at each time t. Specifically, the control unit 27 outputs an instruction signal representing the charge amount Ct to the storage battery 25 at time _t or the discharge amount _Dt from the storage battery 25 at time t for each unit time indicated in the charge/discharge plan. 25. When the storage battery 25 receives the instruction signal indicating the charge amount Ct at time _t , the storage battery 25 charges the electric power of the charge amount Ct indicated by the instruction signal out of the power generated by the PV 26 at the time _t . Further, when receiving the instruction signal indicating the discharge amount Dt at time _t , the storage battery 25 discharges the electric power of the discharge amount Dt indicated by the instruction signal to the power system 2 at the time _t . In addition, the control unit 27 may control the charging and discharging of the storage battery 25 according to the power generation plan so that the power generation system output according to the power generation plan can be obtained.

The power generation system control unit 15B may control the storage battery 25 of the power generation system 20 based on the charge/discharge plan and the power generation plan created by the plan creation unit 15A. That is, the power generation system control unit 15B may have the function of controlling the storage battery 25 by the control unit 27 . In this case, the power generation system control unit 15B may control the charging and discharging of the storage battery 25 according to the charging and discharging plan of the storage battery 25 for each time t. Specifically, the power generation system control unit 15B sends an instruction signal representing the charge amount Ct to the storage battery 25 at time t or the discharge amount Dt from the storage battery 25 at time t for each unit time indicated in the charge/discharge plan. What is necessary is just to output to the storage battery 25 of the electric power generation system 20. FIG.

In this embodiment, an example will be described in which the power generation system control unit 15B controls the storage battery 25 of the power generation system 20 based on the charge/discharge plan and the power generation plan created by the plan creation unit 15A.

Note that the power generation system control unit 15B may control the charging and discharging of the storage battery 25 according to the charging and discharging plan of the storage battery 25 for each time t indicated in the charging and discharging plan, but the power generation system output according to the power generation plan is realized. You may control charging/discharging of the storage battery 25 so that it may be carried out.

Specifically, the PV power generation prediction value PV _t at time t used when creating the charge/discharge plan and the power generation plan is a prediction value, and the PV 26 does not always generate power as predicted on the day of execution of the power generation plan. Therefore, an imbalance, which is the difference between the power generation plan of the power generation system 20 and the power generation performance of the power generation system 20, may occur.

Therefore, the power generation system control unit 15B controls the power generation performance, which is the actual power generation system output of the power generation system 20, to match the power generation plan {PV _t −(D _t −C _t )} of the power generation system 20 at each time t. Alternatively, charging and discharging of the storage battery 25 may be controlled. That is, the power generation system control unit 15B may control charging and discharging of the storage battery 25 so as to suppress the imbalance.

Description will be made with reference to FIG. FIG. 4 is an explanatory diagram of an example of charge/discharge control of the storage battery 25. As shown in FIG. FIG. 4 shows the amount of electric power (kWh) at time t and the storage battery power amount (kWh) at time t.

A diagram 32 represents the predicted PV power generation value PV _t at time t. Diagram 34 represents the power generation plan of power generation system 20 . A diagram 33 represents actual power generation performance values of the PV 26 . A diagram 35 represents the power generation system output for the current day when the charging and discharging of the storage battery 25 are controlled according to the charging and discharging plan for the storage battery 25 at each time t. In other words, diagram 35 shows the power generation performance of power generation system 20 . In FIG. 4, D _t and C _t represent charge/discharge control according to the charge/discharge plan of the storage battery 25 at each time t.

Diagram 38 and region 38A indicate imbalance, which is the difference between the power generation plan of power generation system 20 represented by diagram 34 and the power generation performance of power generation system 20 represented by diagram 35 . The power generation performance of the power generation system 20 represented by the diagram 35 is obtained by adding or subtracting the charge/discharge performance values of the storage battery 25 (D _t and C _t in FIG. 4) from the actual power generation performance values of the PV 26 (diagram 33). represented by a value. A diagram 36 represents the planned value of the amount of power stored in the storage battery 25 .

The actual power generation value of the PV 26 on the day on which the charging/discharging plan and the power generation plan shown in the diagram 33 are executed may differ from the PV power generation prediction value PV _t shown in the diagram 32 . In this case, if the charging and discharging of the storage battery 25 are controlled according to the charging/discharging plan for the storage battery 25 at each time t, the output of the power generation system 20 on the day will be as shown in diagram 35, for example. Therefore, an imbalance (see diagram 38 and region 38A), which is the difference between the power generation plan of power generation system 20 and the actual power generation performance of power generation system 20, occurs on the current day, which is the execution date of the charge/discharge plan and the power generation plan. Sometimes.

Therefore, the power generation system control unit 15B controls the charging and discharging of the storage battery 25 so that the power generation system output in accordance with the power generation plan of the power generation system 20 is realized when the occurrence of the imbalance is predicted. good. For example, the power generation system control unit 15B discharges the storage battery 25 if the actual PV power generation value of the PV 26 is smaller than the power generation plan within a unit time (for example, 30 minutes), and charges the storage battery 25 if it is larger. Control is performed to bring the output of 20 closer to the power generation plan. Hereinafter, charging and discharging of the storage battery 25 may be referred to as charging and discharging of the storage battery 25, and control of charging and discharging may be referred to as charging and discharging control. By performing such control, the management device 10 can maximize the predicted value of the power sales revenue and suppress the imbalance.

Note that the capacity of the storage battery 25 is limited. Therefore, even if the charging and discharging of the storage battery 25 is controlled so that the power generation system output in line with the power generation plan created by the plan creation unit 15A is realized, the charging and discharging control exceeding the capacity of the storage battery 25 cannot be performed. Suppression of imbalance may be difficult.

Therefore, the plan creation unit 15A preferably creates a charge/discharge plan and a power generation plan in which a margin, which is a spare capacity, is set for at least one of the upper limit and the lower limit of the operational charging rate of the storage battery 25 .

The upper limit of the operating charging rate of the storage battery 25 corresponds to the above-described operating upper limit SoC _max of the storage battery SoC. The lower limit of the operating charging rate of the storage battery 25 corresponds to the lower operating limit SoC _min of the storage battery SoC described above.

For example, the plan creation unit 15A creates a charge/discharge plan and a power generation plan in which margins are set for the upper limit SoC _max for operation of the storage battery SoC and the lower limit SoC _min for operation of the storage battery SoC, which are the constraints of the objective function F shown in Equation (4). Just create it. The value of the margin may be determined by off-line simulation or the like, for example. For example, the plan creation unit 15A may determine the value of the margin through simulation or the like so as to maximize the predicted value of profit from power sales and avoid imbalance.

For example, assume a case where the operating lower limit SoC _min of the storage battery SoC is 0% and the operating upper limit SoC _max of the storage battery SoC is 100% when no margin is set. In this case, the plan creation unit 15A sets, for example, a margin of 30% for the lower limit of operation of the storage battery SoC and a margin of 20% for operation of the storage battery SoC. Specifically, for example, the plan creation unit 15A sets the operation lower limit SoC _min of the storage battery SoC to 30% and sets the operation upper limit SoC _max of the storage battery SoC to 80%. Then, the plan creation unit 15A should create a charge/discharge plan and a power generation plan that maximize the objective function F under these constraints.

The plan creation unit 15A creates a charge/discharge plan and a power generation plan in which a margin, which is a spare capacity, is set to at least one of the upper limit and the lower limit of the operating charging rate of the storage battery 25, so that the power generation system control unit 15B can control the charge/discharge rate of the storage battery 25 for the current day. At the time of control, it is possible to perform control that suppresses imbalance.

Returning to FIG. 2, the description is continued. The power generation plan submitted to the cross-regional organization 6 can be modified even on the day of execution of the power generation plan. For example, it is possible to modify and submit the power generation plan before gate closing (GC), which is the deadline for submitting the plan for the day.

For this reason, the plan creation unit 15A may recreate the power generation plan and submit it to the cross-regional organization 6 as appropriate in response to changes in the PV power generation prediction value PV _t at time t, which is the PV power generation prediction value. At this time, the plan creation unit 15A may recalculate the power generation plan for the entire power generation BG3 according to the latest power generation plan of each of the plurality of power plants 8 belonging to the power generation BG3, and submit it to the cross-regional organization 6. . At this time, the plan creation unit 15A may also recreate the charge/discharge plan. Further, when the plan creation unit 15A corrects or recreates the charge/discharge plan and the power generation plan, the power generation system control unit 15B controls the storage battery 25 of the power generation system 20 based on the latest charge/discharge plan and power generation plan. Just do it.

In addition, as described above, an imbalance may occur on the day when the charging/discharging plan and the power generation plan are executed.

Therefore, the plan creation unit 15A may create a charge/discharge plan and a power generation plan that maximize the subtraction value obtained by subtracting the imbalance loss from the electricity sales profit.

In this case, plan creation unit 15A may create a charge/discharge plan and a power generation plan using information received from each of power generation pattern creation unit 15C and imbalance calculation unit 15D.

15 C of power generation pattern preparation parts produce the power generation pattern of the power generation prediction value of PV26.

The power generation pattern is a pattern representing the time transition of the PV power generation predicted value of the PV 26 on the day when the power generation plan is executed. In other words, the power generation pattern is the PV power generation prediction value PVt for each time t on the day when the power generation plan is executed. The power generation pattern creation unit 15C creates a plurality of power generation patterns with different PV power generation prediction values PVt at time t.

FIG. 5 is a schematic diagram of an example of the power generation pattern 40. As shown in FIG. In FIG. 5 , the horizontal axis indicates time t, and the vertical axis indicates PV output, which is the amount of electric power output from the PV 26 .

The power generation pattern creation unit 15C creates, for example, a power generation pattern 40A that is a PV power generation predicted value PV _t at time t as a reference expected value. For example, in the same way as when deriving the PV power generation prediction value PV _t at time t used in the objective function F described above, the power generation pattern creation unit 15C is based on the measured value of the PV power generation amount and weather information such as the amount of sunshine. Then, a power generation pattern 40A, which is the PV power generation predicted value PV _t at the time t of the reference expected value, is created. The power generation pattern creation unit 15C may create the power generation pattern 40A by acquiring the PV power generation prediction value from the prediction system 7, the input unit 12, the storage unit 14, or the like.

Then, the power generation pattern creation unit 15C creates a plurality of power generation patterns 40 that can occur as prediction errors. For example, the power generation pattern creation unit 15C creates a plurality of power generation patterns 40 having different PV outputs in the increasing and decreasing directions from the power generation pattern 40A created as the expected value. FIG. 5 shows an example of the power generation pattern 40 including the power generation pattern 40B to the power generation pattern 40G. The power generation pattern 40B is an example of the power generation pattern 40 in which the PV output differs in the +1σ direction from the power generation pattern 40A. The power generation pattern 40C is an example of the power generation pattern 40 in which the PV output differs in the +2σ direction from the power generation pattern 40A. The power generation pattern 40D is an example of the power generation pattern 40 in which the PV output differs in the +3σ direction from the power generation pattern 40A. The power generation pattern 40E is an example of the power generation pattern 40 in which the PV output differs in the -1σ direction from the power generation pattern 40A. The power generation pattern 40F is an example of the power generation pattern 40 in which the PV output differs in the -2σ direction from the power generation pattern 40A. The power generation pattern 40G is an example of the power generation pattern 40 in which the PV output differs in the -3σ direction from the power generation pattern 40A.

In this embodiment, the power generation pattern creation unit 15C creates seven power generation patterns 40 as an example. Note that the number of power generation patterns 40 created by the power generation pattern creating unit 15C is not limited to seven, as long as it is two or more.

The power generation pattern creation unit 15C calculates the occurrence probability P _i that each of the plurality of created power generation patterns 40 will actually occur on the day of execution of the power generation plan.

FIG. 6 is a diagram showing an example of the probability distribution of occurrence probabilities P _i that each of the plurality of power generation patterns 40 created by the power generation pattern creating unit 15C will actually occur on the day. In this embodiment, this probability distribution will be described as an example of a form that indicates a normal distribution.

FIG. 7 shows the occurrence probability that each of the plurality of power generation patterns 40 created by the power generation pattern creation unit 15C will occur on the day when the power generation plan is executed, and the PV power generation prediction value PV of each of the plurality of power generation patterns 40 at each time t. It is a figure which shows an example of _t and.

Returning to FIG. 2, the description is continued. The imbalance calculator 15</b>D calculates an imbalance prediction value, which is the difference between the power generation plan and the output of the power generation system 20 according to the power generation pattern 40 .

The imbalance calculation unit 15D calculates a predicted value of imbalance occurring at each time t for each of the plurality of power generation patterns 40 created by the power generation pattern creation unit 15C. For example, the imbalance calculation unit 15D calculates the power generation plan {PV _t −(D _t −C _t )} obtained for the PV power generation prediction value and the actual PV power generation at time t The difference between the predicted PV power generation value PV _t at each time and the assumed actual power generation value of the power generation system 20 is calculated as the predicted imbalance value at each time t. The estimated actual power generation value of this power generation system 20 is the power generation when charging and discharging the storage battery 25 is controlled so as to match the power generation plan with respect to the PV power generation predicted value PV _t at each time t of each of the plurality of power generation patterns 40. 2 is the output of system 20; The expected power generation performance value of the power generation system 20 may be calculated by a control simulation including control of the storage battery 25, or the like.

Then, the plan creation unit 15A calculates the imbalance loss based on the predicted imbalance value and the imbalance unit price, and calculates the charging/discharging plan and the Create a power generation plan.

Specifically, the plan creation unit 15A creates a charge/discharge plan and a power generation plan that maximize the subtraction value obtained by subtracting the imbalance loss from the power sales revenue by using the objective function F'. The objective function F' is represented by the following equation (7).

The variables in formula (7) above are C _t and D _t , and their meanings are the same as in formula (1) above. That is, Ct is the amount of charge to the storage battery 25 at time _t , and Dt is the amount of discharge from the storage battery 25 at time _t .

The parameters of the above formulas (7) to (14) are as follows.
UP _t : Predicted unit price of electric power sold at time t (yen/kWh)
PV _t : PV power generation predicted value at time t (kWh)
C _min : Minimum electric energy (kWh) that can be charged in 30 minutes
C _max : Maximum electric energy (kWh) that can be charged in 30 minutes
D _min : Minimum electric energy (kWh) that can be discharged in 30 minutes
D _max : maximum electric energy (kWh) that can be discharged in 30 minutes
SoC _min : Operational lower limit of storage battery SoC SoC _max : Operational upper limit of storage battery SoC η _c : Charging efficiency of storage battery 25 η _D : Discharge efficiency of storage battery 25 IMB: Imbalance loss P _i : Occurrence of power generation pattern 40 identified by i Probability i: Identification information of power generation pattern 40 N: Number of power generation patterns 40 UPIM _t : Predicted imbalance unit price (yen/kWh)
IM _i,t : Predicted value of imbalance at time t that occurs for the power generation pattern 40 identified by i

The meanings of UP _t , PV _t , C _min , C _max , D _min , D _max , SoC _min , SoC _max , η _c , and η _D are the same as in formulas (1) to (6) above. That is, formulas (10) to (14) are the same as formulas (2) to (6).

The objective function F' shown in equation (7) is a function for subtracting the imbalance loss IMB shown in equation (8) from the objective function F shown in equation (1).

The plan generation unit 15A generates a predicted imbalance value IM _i,t occurring at each time t for each of the plurality of power generation patterns 40 generated by the imbalance calculation unit 15D, and a predicted value of the imbalance unit price for each time t. UPIM _t and each occurrence probability P _i of the power generation pattern 40 are substituted into Equation (8). Through this process, the plan creation unit 15A calculates the imbalance loss IMB.

Further, the plan creating unit 15A calculates the objective function F in the same manner as described above, and further calculates the objective function F'.

Specifically, the plan creation unit 15A satisfies the constraints of formulas (9) to (14), and maximizes the objective function F′, which is the subtraction value obtained by subtracting the imbalance loss from the power sales profit. , D _t and C _t . In other words, the planning unit 15A inputs the obtained and derived parameters to the equations (7) to (14), and the values of D _t and C _t that maximize the objective function F′ and {PV _t −( D _t −C _t )}.

For example, the plan creation unit 15A corrects the charge/discharge plan and the power generation plan until the value of the objective function F' converges, and each time the charge/discharge plan and the power generation plan are corrected, the imbalance predicted value IM at time t A series of processes of calculating _{i and t} , calculating the imbalance loss IMB, and calculating the objective function F' is repeated. Then, the plan creation unit 15A obtains the values of D _t and C _t when the calculation result of the objective function F' converges as the optimum solution. A genetic algorithm (GA), for example, may be used to correct the charging/discharging plan and the power generation plan.

By the process of obtaining the optimum solution of the objective function F′, the plan creation unit 15A maximizes the subtraction value obtained by subtracting the imbalance loss from the power sales profit, and the charge amount C _t to the storage battery 25 at each time t and the storage battery A charge/discharge plan is created that defines the amount of discharge _Dt from 25.

In addition, the plan creation unit 15A obtains the values of D _t and C _t that maximize the objective function F', and is represented by {PV _t - (D _t - C _t )} in Equation (7) , to create a power generation plan that defines the power generation amount of the power generation system 20 at each time t that maximizes the subtraction value obtained by subtracting the imbalance loss from the power sales profit. For PV _t in equation (7), the PV power generation predicted value PV _t at time t of the power generation pattern 40A created as the expected value may be used.

Therefore, in this case, the plan creation unit 15A can create a charge/discharge plan and a power generation plan that maximize the objective function F'. That is, by creating a charge/discharge plan and a power generation plan that maximize the subtraction value obtained by subtracting the imbalance loss from the power sales profit, the plan creation unit 15A attempts to maximize the power sales profit considering the imbalance loss. be able to.

The plan creation unit 15A may create a charge/discharge plan and a power generation plan for the upper and lower limits of the operating charging rate of the storage battery 25 that maximizes the subtracted value obtained by subtracting the imbalance loss from the electricity sales profit.

That is, the plan creation unit 15A maximizes the subtraction value obtained by subtracting the imbalance loss from the power sales profit, the operation upper limit SoC of the storage battery SoC, which is the constraint condition shown in the above formula (4) and the above formula (12) A margin is set for _max and the lower operating limit SoC _min of the storage battery SoC. Then, the plan creation unit 15A creates a charge/discharge plan and a power generation plan that maximize the objective function F′ using the operating upper limit SoC _max and the storage battery SoC _min for which the margin is set as constraints. good.

Specifically, the plan creation unit 15A creates operation margin patterns for a plurality of storage battery SoCs with different margins. That is, the plan creation unit 15A creates a plurality of different combinations of at least one of the upper operating limit SoC _max of the storage battery SoC and the lower operating limit SoC _min of the storage battery SoC as a plurality of patterns of storage battery SoC operating margins.

FIG. 8 is a diagram showing an example of a storage battery SoC operation margin pattern. FIG. 8 shows an example of 35 operating margin patterns in which at least one of the operating upper limit SoC _max of the storage battery SoC and the operating lower limit SoC _min of the storage battery SoC is different. Note that the number of operating margins to be created is not limited to 35 patterns as long as it is plural.

Then, the plan creation unit 15A sets each of the plurality of created operating margin patterns as a constraint on the SoC upper and lower limits of the above formula (4), and for each of the plurality of operating margin patterns, the above formula (1 ), the optimum solution that maximizes the objective function F is calculated. For PV _t in equation (1), the PV power generation predicted value PV _t at time t of the power generation pattern 40A created as the expected value may be used.

Through these processes, the plan creation unit 15A first creates a power generation plan that maximizes the predicted value of the profit from selling electricity represented by the objective function F for each of the plurality of operating margin patterns.

9A to 9C show the storage battery 25 when the storage battery 25 is controlled in accordance with the power generation plan that maximizes the predicted value of the electricity sales profit represented by the objective function F, corresponding to each of a plurality of operating margin patterns. 25 is an example of transition of storage battery SoC.

Returning to FIG. 2, the description is continued. Then, the plan creation unit 15A creates a charge/discharge plan and a power generation plan that maximize the subtraction value obtained by subtracting the imbalance loss IMB from the objective function F calculated for each of the plurality of operation margin patterns. That is, the plan creating unit 15A calculates the objective function F′ represented by Equation (7) for each of the plurality of operating margin patterns using the maximum objective function F calculated for each of the plurality of operating margin patterns. Create a charge/discharge plan and power generation plan that maximizes

Specifically, the plan creation unit 15A predicts the imbalance prediction value IM _i,t at time t for each of the plurality of power generation patterns 40 created by the imbalance calculation unit 15D, and the imbalance unit price prediction for each time t. The imbalance loss IMB is calculated by substituting the value UPIM _t and the occurrence probability P _i of each power generation pattern 40 into the equation (8).

Next, the plan creating unit 15A calculates the maximum objective function F' for each created operation margin pattern. Specifically, the plan creation unit 15A subtracts the imbalance loss IMB from each of the maximum objective functions F calculated for each of the plurality of operating margin patterns, and for each of the plurality of operating margin patterns , the maximum objective function F′ is calculated.

Furthermore, the plan creation unit 15A calculates the operating margin pattern used when calculating the objective function F' showing the highest value among the maximum objective functions F' calculated for each of the plurality of operating margin patterns, and the objective The charge/discharge plan and power generation plan that maximize the function F' are selected as the charge/discharge plan and power generation plan to be adopted.

Through these processes, the plan creation unit 15A creates a charge/discharge plan and a power generation plan with an operation margin pattern that maximizes the subtracted value obtained by subtracting the imbalance loss from the electricity sales profit. That is, the plan creation unit 15A can create a charge/discharge plan and a power generation plan for the upper limit and lower limit of the operating charging rate of the storage battery 25 that maximize the subtracted value obtained by subtracting the imbalance loss from the electricity sales profit. The upper and lower limits of the operating charging rate of the storage battery 25 are the lower operating limit SoC _min of the storage battery SoC and the upper operating limit SoC _max of the storage battery SoC, as described above.

Description will be made with reference to FIG. FIG. 10 is an explanatory diagram of an example of a charging/discharging plan and a power generation plan for the upper limit and lower limit of the operating charging rate of the storage battery 25 that maximizes the subtracted value obtained by subtracting the imbalance loss from the electricity sales profit.

FIG. 10 shows the electric energy (kWh) for time t, the storage battery SoC (%) for time t, and the predicted imbalance unit price (yen/kWh) for time t.

A diagram 32 represents the predicted PV power generation value PV _t at time t. Diagram 34 represents the power generation plan of power generation system 20 . In other words, diagram 34 represents the power system output as planned. A diagram 33 represents actual power generation performance values of the PV 26 . A diagram 35 ′ represents the output of the power generation system 20 on the day when the charging and discharging of the storage battery 25 is controlled so as to achieve the power generation system output according to the power generation plan of the power generation system 20 . In FIG. 10, D _t and C _t represent charge/discharge control according to the charge/discharge plan of the storage battery 25 . In FIG. 10, D _t′ and C _t′ represent charge/discharge control for realizing the power generation system output according to the power generation plan.

A diagram 38 shows the imbalance when charging/discharging is controlled according to the charging/discharging plan. A diagram 39 and a region 39A show the imbalance when charging/discharging control different from the charging/discharging plan is performed. In other words, the diagram 39 and region 39A show the imbalance when charge/discharge control is performed to achieve the power generation system output as planned.

A diagram 36 is a predicted value of transition of the storage battery SoC at the time of planning within the range of the operating margin SoC _min of the storage battery SoC and the operating margin SoC _max of the storage battery SoC, which is the pattern of the operation margin that maximizes the objective function F′. be. A diagram 37 shows the transition of the storage battery SoC when the power generation system control unit 15B performs charge/discharge control for realizing the power generation system output according to the power generation plan. A diagram 44 shows the predicted imbalance unit price UPIM _t at time t.

As shown in the diagram 44, the predicted imbalance unit price UPIM _t fluctuates according to time t. As shown in diagrams 32 and 33, the predicted PV power generation value PV _t at time t of the PV 26 and the actual power generation value of the PV 26, for example, generate more power during the daytime hours. Further, as shown in diagrams 32 and 33, an imbalance may occur due to a deviation between the PV power generation prediction value PV _t used when creating the charge/discharge plan and the power generation plan and the actual power generation value of the PV 26. (See diagram 38).

The power generation system control unit 15B, for example, charges the storage battery 25 and Control discharge.

Although the capacity of the storage battery 25 is limited, the plan creation unit 15A creates a charge/discharge plan and a power generation plan with an operation margin that maximizes the subtraction value obtained by subtracting the imbalance loss from the power sales profit. Therefore, as shown in diagram 36, at the stage of creating a charge/discharge plan and a power generation plan, the lower operating limit SoC _min of the storage battery SoC and the upper operating limit SoC _max of the storage battery SoC are values including an operating margin, that is, a reserve capacity. value.

Since the charging/discharging plan and the power generation plan are created with an operational margin for the power storage SoC of the storage battery 25, when the power generation system control unit 15B controls the storage battery 25, the imbalance corresponding to the reserve capacity of the storage battery 25 is reduced. Suppressing charge/discharge control can be performed.

Specifically, for example, the power generation system control unit 15B sets the charge/discharge plan during the time zone B from 6:00 to 9:00 until the power storage SoC of the storage battery 25 reaches 100%, which is the maximum power storage SoC of the storage battery 25. Dt _' and _Ct ', which are charge/discharge controls different from _Dt and _Ct , which are charge/discharge controls, are performed. That is, during time period B, the power generation system control unit 15B performs charge/discharge control so that the power generation system output according to the power generation plan can be obtained. During the time period from 9:00 to 17:00 when the power storage SoC of the storage battery 25 is 100%, the power generation system control unit 15B performs charge/discharge control in accordance with _Dt and _Ct , which are the charge/discharge control of the charge/discharge plan. . In addition, the power generation system control unit 15B controls the charging/discharging control of the charging/discharging plan _Dt and Ct during the time slot C from 17:00 to 18:00 when the power storage _SoC of the storage battery 25 is less than 100 and exceeds 0%. Different charging/discharging controls _Dt' and _Ct' are performed. That is, during the time period C, the power generation system control unit 15B performs charge/discharge control so that the power generation system output according to the power generation plan can be obtained. Then, in the time zone after 18:00 when the power storage SoC of the storage battery 25 is 0%, the power generation system control unit 15B performs charge/discharge control according to _Dt and _Ct , which are the charge/discharge control of the charge/discharge plan. .

Here, imbalance can be suppressed by providing an operation margin for the power storage SoC of the storage battery 25, but the profit from power sales may decrease depending on the degree of the operation margin. However, the charging/discharging plan and the power generation plan used by the power generation system control unit 15B during the control shown in FIG. be.

Therefore, as shown in FIG. 10, the power generation system control unit 15B can perform charge/discharge control that effectively suppresses the occurrence of imbalance during time period B and time period C when the predicted value UPIM _t of the imbalance unit price is high. can.

That is, the plan creation unit 15A creates a charge/discharge plan and a power generation plan for the upper and lower limits of the operational charging rate of the storage battery 25 that maximizes the subtraction value obtained by subtracting the imbalance loss from the electricity sales profit, thereby reducing the imbalance loss. It is possible to maximize the profit from selling electricity in consideration of

Note that the plan creation unit 15A may regenerate the charge/discharge plan and the power generation plan for each unit time while the created charge/discharge plan and power generation plan are being executed by the power generation system control unit 15B.

That is, the plan creation unit 15A may recreate the charge/discharge plan and the power generation plan based on the remaining charge of the storage battery 25 every unit time such as 30 minutes. For example, when the storage battery SoC, which is the charging rate of the storage battery 25, is equal to or lower than the lower operating limit SoC _min or equal to or _higher than the operating upper limit SoC It is preferable to recreate the discharge plan and the generation plan.

In this case, the power generation system control unit 15B may control the storage battery 25 of the power generation system 20 based on the recreated charge/discharge plan and power generation plan.

Next, the procedure of information processing executed by the management device 10 will be described.

FIG. 11 is a flow chart showing an example of the flow of a charge/discharge plan and a power generation plan creation process for maximizing the objective function F. FIG.

The plan creation unit 15A acquires a PV power generation prediction value (step S100). In addition, the plan creation unit 15A acquires the electricity sales unit price (step S102).

The plan creation unit 15A creates a charge/discharge plan and a power generation plan that maximize the predicted value of the power sales revenue of the power generation system 20 based on the PV power generation predicted value obtained in step S100 and the power sales unit price obtained in step S102. Create (step S104). The planning section 15A calculates the optimum solution of the optimization problem that maximizes the objective function F of the equation (1) under the constraints shown in the equations (2) to (6). By calculating the optimum solution that maximizes the objective function F, the plan creation unit 15A calculates a charge/discharge plan and a power generation plan for each unit time for each power generation system 20 .

The display control unit 15E displays the charge/discharge plan and the power generation plan created in step S104 on the display unit 13 (step S106).

The power generation system control unit 15B executes the charge/discharge plan and the power generation plan created in step S104 (step S108). For example, the power generation system control unit 15B controls the storage battery 25 of the power generation system 20 based on the charge/discharge plan and power generation plan created in step S104. Then, the routine ends.

By executing the processes of steps S100 to S108, the plan creating unit 15A can create a charging/discharging plan and a power generation plan that maximize the predicted value of profit from selling electricity.

FIG. 12 is a flow chart showing an example of the flow of a charging/discharging plan and a power generation plan creation process for maximizing the objective function F'. That is, FIG. 12 is a flowchart showing an example of the flow of the charging/discharging plan and power generation plan creation process for maximizing the subtracted value obtained by subtracting the imbalance loss from the electricity sales profit.

The power generation pattern creation unit 15C creates the power generation pattern 40 of the predicted power generation value of the PV 26 (step S200). By the process of step S200, for example, a plurality of power generation patterns 40 shown in FIG. 5 are created.

15 A of plan preparation parts acquire an imbalance unit price (step S202). 15 A of plan preparation parts calculate the initial value of a storage battery charging/discharging plan and a power generation plan (step S204). The initial values of the storage battery charge/discharge plan and power generation plan can be, for example, the charge/discharge plan and power generation plan that maximize the objective function F.

The imbalance calculator 15D calculates an imbalance prediction value, which is the difference between the power generation plan and the output of the power generation system 20 according to the power generation pattern 40 created in step S200 (step S206).

The plan creation unit 15A calculates the imbalance loss based on the imbalance predicted value calculated in step S206 and the imbalance unit price obtained in step S202 (step S208).

The planning unit 15A calculates the objective function F' (step S210). The plan creation unit 15A calculates the objective function F' by calculating a subtraction value obtained by subtracting the imbalance loss calculated in step S208 from the electricity sales profit. Note that the value of the objective function F calculated by performing the processing of steps S100 to S104 shown in FIG. 11 may be used as the profit from selling electricity used to calculate the objective function F'. As the PV power generation prediction value PV t used when calculating the objective function F, the PV power generation prediction value PV _t at time _t of the power generation pattern 40A created as the expected value in step S200 may be used.

Next, the plan creating unit 15A determines whether or not the objective function F' has converged (step S212). If an affirmative determination is made in step S212 (step S212: Yes), this routine ends.

If a negative determination is made in step S212 (step S212: No), the process proceeds to step S214. In step S214, the plan creation unit 15A corrects the charge/discharge plan and the power generation plan (step S214). The planning unit 15A uses a genetic algorithm or the like to calculate the values of D _t and C _t and the value of {PV _t −(D _t −C _t )} derived by the calculation of the objective function F′ in step S210. fix it. Then, the process returns to step S206.

The plan creation unit 15A obtains the optimum solution that maximizes the objective function F' by executing the processes of steps S200 to S214. That is, the plan creating unit 15A can create a charging/discharging plan and a power generation plan that maximize the subtraction value obtained by subtracting the imbalance loss from the power sales revenue by the process of obtaining the optimum solution.

FIG. 13 is a flow chart showing an example of the flow of a charge/discharge plan and a power generation plan creation process for an operation margin that maximizes the objective function F'. That is, FIG. 13 is a flowchart showing an example of the flow of a charge/discharge plan and a power generation plan creation process for maximizing the subtracted value obtained by subtracting the imbalance loss from the electricity sales profit. be.

The power generation pattern creation unit 15C creates the power generation pattern 40 of the predicted power generation value of the PV 26 (step S300). By the process of step S300, for example, a plurality of power generation patterns 40 shown in FIG. 5 are created.

The plan creation unit 15A creates a plurality of operation margin patterns for a plurality of storage battery SoCs with mutually different margins (step S302). The plan creation unit 15A creates a plurality of different combinations of at least one of the operation upper limit SoC _max of the storage battery SoC and the operation lower limit SoC _min of the storage battery SoC as a plurality of storage battery SoC operation margin patterns. By the process of step S302, for example, 35 operating margin patterns shown in FIG. 8 are created.

Then, the plan creating unit 15A calculates an objective function F for each of the plurality of operating margin patterns created in step S302 (step S304). That is, the plan creation unit 15A sets each of the plurality of operating margin patterns created in step S302 as a constraint on the SoC upper and lower limits in the above equation (4), and for each of the plurality of operating margin patterns, the above An optimum solution that maximizes the objective function F represented by Equation (1) is calculated. For PV _t in equation (1), the PV power generation predicted value PV _t at time t of the power generation pattern 40A created as the expected value among the power generation patterns 40 created in step S300 may be used.

Through these processes, the plan creation unit 15A first creates a power generation plan that maximizes the predicted value of the profit from selling electricity represented by the objective function F for each of the plurality of operating margin patterns.

Next, the plan creation unit 15A calculates the maximum objective function F' for each operating margin pattern created in step S302 (step S306).

Then, the plan creation unit 15A calculates the operating margin pattern used when calculating the objective function F' showing the highest value among the maximum objective functions F' calculated for each of the plurality of operating margin patterns, and the objective The charge/discharge plan and power generation plan that maximize the function F' are selected as the charge/discharge plan and power generation plan to be adopted (step S308). Then, the routine ends.

By executing the processes of steps S300 to S308, the plan creation unit 15A creates a charge/discharge plan and a power generation plan with an operation margin pattern that maximizes the subtraction value obtained by subtracting the imbalance loss from the power sales profit. can be done. That is, the plan creation unit 15A can create a charge/discharge plan and a power generation plan for the upper limit and lower limit of the operating charging rate of the storage battery 25 that maximize the subtracted value obtained by subtracting the imbalance loss from the electricity sales profit.

As described above, the management device 10 of this embodiment includes the plan creating unit 15A. The plan creating unit 15A predicts profit from power sales for each power generation system 20 having a PV 26 (renewable energy power source) and a storage battery 25 charged only from the PV 26, based on the predicted power generation value of the PV 26 and the unit price of power sales. A charge/discharge plan for the storage battery 25 and a power generation plan for the power generation system 20 that maximize the value are created.

In this way, the plan creation unit 15A of the management device 10 of the present embodiment creates a charge/discharge plan that maximizes the predicted value of the profit from selling electricity for each power generation system 20 having the PV 26 and the storage battery 25 that is charged only from the PV 26. and create a power generation plan.

For this reason, the management device 10 of the present embodiment can create a charge/discharge plan and a power generation plan that increase the profit from selling renewable energy such as PV 26, and during times when the power is insufficient and the unit price of power selling is high. A charging/discharging plan and a power generation plan for increasing the power generation amount of the power generation system 20 can be created.

Therefore, the management device 10 of the present embodiment can level the load of the power system 2 as a whole.

In addition, the plan creation unit 15A of the management device 10 of the present embodiment calculates the imbalance loss based on the predicted imbalance value and the imbalance unit price, and maximizes the subtraction value obtained by subtracting the imbalance loss from the power sales profit. A charging/discharging plan and a power generation plan for the storage battery 25 or a charging/discharging plan and a power generation plan for the upper and lower limits of the operational charging rate of the storage battery 25 can be created.

Therefore, in addition to the above effects, the management device 10 of the present embodiment can create a charge/discharge plan and a power generation plan that maximize the subtraction value obtained by subtracting the imbalance loss from the electricity sales profit.

In the above-described embodiment, the program for executing the information processing has a module configuration including each of the plurality of functional units. By reading and executing an information processing program from a memory) or HDD, each of the plurality of functional units described above is loaded onto a RAM (random access memory), and each of the plurality of functional units described above is loaded into a RAM (main memory). generated above. Part or all of each of the plurality of functional units described above can also be realized using dedicated hardware such as ASIC (Application Specific Integrated Circuit) or FPGA (Field Programmable Gate Array).

Although the embodiments of the present disclosure have been described above, the above embodiments are presented as examples and are not intended to limit the scope of the present disclosure. The novel embodiments described above can be embodied in various other forms, and various omissions, replacements, and modifications can be made without departing from the scope of the invention. The above-described embodiments are included in the scope or gist of the present disclosure, and are included in the invention described in the claims and their equivalents.

DESCRIPTION OF SYMBOLS 10... Management apparatus, 15A... Plan creation part, 15B... Power generation system control part, 15C... Power generation pattern creation part, 15D... Imbalance calculation part, 20... Power generation system, 25... Storage battery, 26... PV

A management device of an embodiment has a renewable energy power supply and a storage battery charged only from the renewable energy power supply, and for each power generation system that reversely flows discharge from the storage battery to an electric power system and sells the power, the above A plan creating unit that creates a charge/discharge plan for the storage battery and a power generation plan for the power generation system that maximizes a predicted value of profit from selling electricity, based on a predicted power generation value of the renewable energy source and a unit price of electric power sale.

Claims (9)

For each power generation system having a renewable energy power source and a storage battery that is charged only from the renewable energy power source, the predicted power sales profit is maximized based on the predicted power generation value of the renewable energy power source and the unit price of power sales. a plan creation unit that creates a charge/discharge plan for the storage battery to be converted and a power generation plan for the power generation system;
A management device comprising The planning unit
creating the charge/discharge plan and the power generation plan in which a reserve capacity is set to at least one of the upper limit and the lower limit of the operating charging rate of the storage battery;
The management device according to claim 1. A power generation system control unit that controls the power generation system according to the charge/discharge plan and the power generation plan;
The management device according to claim 1 or 2, comprising: a power generation pattern creation unit that creates a power generation pattern of predicted power generation values of the renewable energy power source;
an imbalance calculation unit that calculates a predicted imbalance value based on the power generation pattern;
with
The planning unit
Calculate the imbalance loss based on the predicted imbalance value and the imbalance unit price, and create the charge/discharge plan and the power generation plan that maximize the subtraction value obtained by subtracting the imbalance loss from the electricity sales revenue.
The management device according to any one of claims 1 to 3. a power generation pattern creation unit that creates a power generation pattern of predicted power generation values of the renewable energy power source;
an imbalance calculation unit that calculates a predicted imbalance value based on the power generation pattern;
with
The planning unit
calculating the imbalance loss based on the predicted imbalance value and the imbalance unit price, and maximizing the subtraction value obtained by subtracting the imbalance loss from the electricity sales revenue, and creating a charge/discharge plan and the power generation plan;
The management device according to any one of claims 1 to 3. The planning unit
recreating the charge/discharge plan and the power generation plan based on the remaining charge of the storage battery for each unit time;
The management device according to any one of claims 1 to 5. The electricity sales unit price is a transaction price prediction value,
The management device according to any one of claims 1 to 6. A management method executed by a management device,
For each power generation system having a renewable energy power source and a storage battery that is charged only from the renewable energy power source, the predicted power sales profit is maximized based on the predicted power generation value of the renewable energy power source and the unit price of power sales. creating a charge/discharge plan for the storage battery and a power generation plan for the power generation system;
management methods, including; to the computer,
For each power generation system having a renewable energy power source and a storage battery that is charged only from the renewable energy power source, the predicted power sales profit is maximized based on the predicted power generation value of the renewable energy power source and the unit price of power sales. a management program for executing a step of creating a charge/discharge plan for the storage battery to be converted and a power generation plan for the power generation system.

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