KR102600219B1 - Method for optimizing self consumption of prosumer and computing device for executing the method - Google Patents

Abstract

A method for optimizing prosumer self-consumption and a computing device for performing the same are disclosed. A method for optimizing prosumer self-consumption according to an embodiment disclosed is a method performed in a computing device having one or more processors and a memory that stores a program executed by the one or more processors, wherein the bus voltage is set to a preset threshold voltage. Actions to determine whether an out-of-range voltage problem occurs; and, when the bus voltage exceeds the threshold voltage range, increasing a subsidy for power consumption of prosumers during the time when the voltage problem occurs by a preset amount.

Description

Method for optimizing prosumer self-consumption and computing device for performing the same {METHOD FOR OPTIMIZING SELF CONSUMPTION OF PROSUMER AND COMPUTING DEVICE FOR EXECUTING THE METHOD}

Embodiments of the present invention relate to prosumer self-consumption optimization technology.

Countries around the world are continuing efforts to reduce greenhouse gases to solve the problem of global warming. In particular, the electric power industry is trying to reduce greenhouse gases by introducing renewable energy. As part of these efforts, the authorities have selected expansion of distributed power sources as the main goal of expanding renewable energy in the 3rd Basic Energy Plan. However, since distributed power sources cause problems such as voltage instability, it is difficult to accommodate distributed power sources above a certain level.

Therefore, in order to increase the distributed power capacity, there is a need for a solution to the voltage increase problem by reinforcing the system such as expanding line capacity, limiting power generation output, or using voltage adjustment techniques. Since these techniques may require additional power facility installation costs or hinder the use of distributed power generation, research is needed to increase the distributed power capacity of the system by resolving the voltage rise problem without reinforcing the system or limiting output.

Korean Patent Publication No. 10-2018-0016016 (2018.02.14)

The purpose of the present invention is to provide a method for optimizing prosumer self-consumption that can increase distributed power capacity by solving the voltage increase problem and a computing device for performing the same.

Meanwhile, the technical problems to be achieved in the present invention are not limited to the technical problems mentioned above, and other technical problems not mentioned will be clearly apparent to those skilled in the art from the description below. It will be understandable.

A method for optimizing prosumer self-consumption according to an embodiment disclosed is a method performed in a computing device having one or more processors and a memory that stores a program executed by the one or more processors, wherein the bus voltage is set to a preset threshold voltage. Actions to determine whether an out-of-range voltage problem occurs; and, when the bus voltage exceeds the threshold voltage range, increasing a subsidy for power consumption of prosumers during the time when the voltage problem occurs by a preset amount.

The operation of increasing the subsidy by a preset amount may be repeatedly performed until the bus voltage predicted according to the increased subsidy satisfies the threshold voltage range.

The operation of checking whether the voltage problem occurs includes predicting the hourly power consumption of the prosumer; An operation of calculating hourly bus voltage based on the hourly power consumption; and an operation of checking whether the hourly bus voltage exceeds a preset threshold voltage range.

The operation of predicting the hourly power consumption of the prosumer is based on an objective function including the prosumer's power purchase cost, inconvenience cost, and subsidy during the time when the voltage problem occurs, and optimizing the objective function with preset constraints. An operation of optimizing the hourly power consumption of the prosumer through a technique may be included.

The operation of optimizing the hourly power consumption of the prosumer may calculate the prosumer's optimal hourly power consumption that minimizes the objective function with the constraints through an objective function using the equation below.

(mathematical expression)

t : time

T: set unit time (e.g. next day)

p _t : hourly power application price

: Power consumption per hour after optimization

e _t : Hourly power generation from renewable energy sources

: Power consumption per hour before optimization

μ: Consumer discomfort cost conversion factor

: Hourly subsidy

The p _t (hourly electricity application price) applies the consumer's electricity purchase price, which is the rate at which the prosumer purchases electricity from the electric power company, when the relevant time t is a time zone belonging to T1 of the unit time (T). If time t is a time zone belonging to T2 of the unit time (T), the surplus power settlement fee obtained by the prosumer selling the surplus power of the renewable energy source power generation to the power company can be applied by deducting the surplus power settlement fee.

T1: Time zone during unit time when power consumption is greater than the amount generated from renewable energy sources

T2: Time period when power consumption is less than renewable energy source power generation per unit time

The μ (consumer inconvenience cost conversion coefficient) considers one or more of the number of home appliances used by each prosumer by day and time, the age group of the resident in the home, the residence time in the home by day and time, and the home heating temperature by day and time. It can be calculated as follows.

According to one disclosed embodiment, a computer program stored in a computer-readable recording medium is provided to execute the prosumer self-consumption optimization method.

A computing device according to one disclosed embodiment includes one or more processors; Memory; and a program stored in the memory and configured to be executed by the one or more processors, the program comprising: instructions for checking whether a voltage problem occurs in which the bus voltage exceeds a preset threshold voltage range; and, when the bus voltage exceeds the threshold voltage range, an instruction to increase a subsidy for power consumption of prosumers during the time when the voltage problem occurs by a preset amount.

The command to increase the subsidy by a preset amount may be repeatedly performed until the bus voltage predicted according to the increased subsidy satisfies the threshold voltage range.

The command for checking whether the voltage problem occurs may include a command for predicting hourly power consumption of the prosumer; A command for calculating hourly bus voltage based on the hourly power consumption; and a command for checking whether the hourly bus voltage exceeds a preset threshold voltage range.

The command for predicting the hourly power consumption of the prosumer is based on an objective function including the prosumer's power purchase cost, inconvenience cost, and subsidy during the time when the voltage problem occurs, and is based on the objective function having preset constraints. A command for optimizing the hourly power consumption of the prosumer through an optimization technique may be included.

The instruction for optimizing the hourly power consumption of the prosumer includes an instruction for calculating the optimal hourly power consumption of the prosumer that minimizes the objective function with the constraints through an objective function according to the following equation. can do.

(mathematical expression)

t : time

T: set unit time (e.g. next day)

p _t : hourly power application price

: Power consumption per hour after optimization

e _t : Hourly power generation from renewable energy sources

: Power consumption per hour before optimization

μ: Consumer discomfort cost conversion factor

: Hourly subsidy

According to an embodiment of the present invention, a method for optimizing prosumer self-consumption that can increase distributed power capacity by solving the voltage increase problem and a computing device for performing the same are provided.

According to an embodiment of the present invention, the hourly bus voltage is calculated based on the power consumption of the prosumer, and if the calculated bus voltage exceeds a preset threshold voltage range, the subsidy for the time period in which the voltage problem occurred is increased, By promoting self-consumption by prosumers, it is possible to induce a voltage drop on the busbar, thereby solving the problem of a rise in busbar voltage during that time period. In addition, it is possible to increase the capacity of renewable energy sources without reducing power generation or increasing system capacity through new line construction.

Additionally, consumers can receive a reduction in electricity bills by acting according to their discomfort characteristics, and power companies can maintain a stable voltage range with minimal expenditure through subsidies.

Meanwhile, the effects that can be obtained from the present invention are not limited to the effects mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the description below. You will be able to.

1 is a diagram showing voltage variation according to distributed power input in the disclosed embodiment;
FIG. 2 is a diagram showing increasing the capacity of distributed power by lowering the grid voltage in the disclosed embodiment;
Figure 3 is a diagram showing a state inducing an increase in self-consumption through granting subsidies in the disclosed embodiment;
4 is a block diagram illustrating and illustrating a computing environment including a computing device suitable for use in example embodiments;
Figure 5 is a flowchart showing a subsidy-based prosumer self-consumption optimization method according to an embodiment of the present invention;
Figure 6 is a graph showing the relationship between power generation from renewable energy sources, power consumption, and power consumption after optimization over time in the disclosed embodiment.

Hereinafter, embodiments of the present invention will be described in more detail with reference to the attached drawings. Embodiments of the present invention may be modified in various forms, and the scope of the present invention should not be construed as being limited to the following embodiments. This example is provided to more completely explain the present invention to those skilled in the art. Therefore, the shapes of elements in the drawings are exaggerated to emphasize clearer explanation.

The configuration of the invention to clarify the solution to the problem to be solved by the present invention will be described in detail with reference to the accompanying drawings based on preferred embodiments of the present invention, and the reference numbers to the components in the drawings will be the same. Components are given the same reference numbers even if they are in different drawings, and it is stated in advance that components of other drawings can be cited when necessary when explaining the relevant drawings.

In this specification, a prosumer may refer to a producer or consumer who produces electricity using renewable energy sources (e.g., solar energy, wind power, etc.) and sells the remaining electricity after power consumption. The expansion of distributed power sources due to the emergence of prosumers may cause simultaneous voltage problems on the bus.

1 is a diagram illustrating voltage variation due to input of distributed power in the disclosed embodiment. Referring to Figure 1, as the installed capacity of the distributed power source (DG) connected to the grid increases, the grid voltage rises, and if the grid voltage exceeds the specified voltage range, the corresponding distributed power source (DG) cannot be connected. I do it.

Therefore, in order to increase the capacity of the distributed power source (DG), the grid voltage must be lowered by increasing power consumption, as shown in FIG. 2. In other words, by lowering the grid voltage by increasing power consumption so that the grid voltage is below the specified voltage range, connection of distributed power sources (DG) becomes possible.

Prosumers use solar power at the highest rate among renewable energy sources, and solar power generation is greatly affected by weather conditions such as sunlight hours and cloud cover. In this case, during the day when solar radiation is high, the amount of solar power generation increases, causing the problem of an increase in bus voltage. In the disclosed embodiment, as shown in FIG. 3, voltage changes over time are checked and self-consumption is induced through subsidy granting to prevent the bus voltage from exceeding a preset voltage range.

FIG. 4 is a block diagram illustrating and illustrating a computing environment 10 including computing devices suitable for use in example embodiments. In the illustrated embodiment, each component may have different functions and capabilities in addition to those described below, and may include additional components in addition to those described below.

The illustrated computing environment 10 includes a computing device 12 . In one embodiment, the computing device 12 may be a device for performing a subsidy-based prosumer self-consumption optimization method.

Computing device 12 includes at least one processor 14, a computer-readable storage medium 16, and a communication bus 18. Processor 14 may cause computing device 12 to operate in accordance with the example embodiments noted above. For example, processor 14 may execute one or more programs stored on computer-readable storage medium 16. The one or more programs may include one or more computer-executable instructions, which, when executed by the processor 14, cause computing device 12 to perform operations according to example embodiments. It can be.

Computer-readable storage medium 16 is configured to store computer-executable instructions or program code, program data, and/or other suitable form of information. The program 20 stored in the computer-readable storage medium 16 includes a set of instructions executable by the processor 14. In one embodiment, computer-readable storage medium 16 includes memory (volatile memory, such as random access memory, non-volatile memory, or an appropriate combination thereof), one or more magnetic disk storage devices, optical disk storage devices, flash It may be memory devices, another form of storage medium that can be accessed by computing device 12 and store desired information, or a suitable combination thereof.

Communication bus 18 interconnects various other components of computing device 12, including processor 14 and computer-readable storage medium 16.

Computing device 12 may also include one or more input/output interfaces 22 and one or more network communication interfaces 26 that provide an interface for one or more input/output devices 24. The input/output interface 22 and the network communication interface 26 are connected to the communication bus 18. Input/output device 24 may be coupled to other components of computing device 12 through input/output interface 22. Exemplary input/output devices 24 include, but are not limited to, a pointing device (such as a mouse or trackpad), a keyboard, a touch input device (such as a touchpad or touch screen), a voice or sound input device, various types of sensor devices, and/or imaging devices. It may include input devices and/or output devices such as display devices, printers, speakers, and/or network cards. The exemplary input/output device 24 may be included within the computing device 12 as a component constituting the computing device 12, or may be connected to the computing device 12 as a separate device distinct from the computing device 12. It may be possible.

Figure 5 is a flowchart showing a subsidy-based prosumer self-consumption optimization method according to an embodiment of the present invention. The method shown in FIG. 5 may be performed, for example, by the computing device 12 described above. In the illustrated flow chart, the method is divided into a plurality of steps, but at least some of the steps are performed in a different order, combined with other steps, omitted, divided into detailed steps, or not shown. One or more steps may be added and performed. In an exemplary embodiment, the computing device 12 may be a computing device installed in an organization that supplies power in a substation unit (eg, a power company, etc.), but is not limited thereto.

For example, in step 102, the computing device 12 calculates hourly power consumption for a unit of time (eg, the next day) for each prosumer. The computing device 12 can calculate the next day's power consumption to minimize the total power purchase cost for each prosumer. Hereinafter, the description will be made assuming that the consumer is a prosumer. In an example embodiment, computing device 12 may estimate next-day power consumption through an optimization technique with an objective function and constraints.

The computing device 12 calculates the next-day power consumption ( ) can be calculated.

(Equation 1)

t : time

T: set unit time (e.g. next day)

p _t : hourly power application price

: Power consumption per hour after optimization

e _t : Hourly power generation from renewable energy sources

: Hourly power consumption before optimization

μ: Consumer discomfort cost conversion factor

: Hourly subsidy

In Equation 1, p _t is the hourly power application price, and the applied price varies depending on whether the time t belongs to T1 or T2.

Figure 6 is a graph showing the relationship between power generation from renewable energy sources, power consumption, and power consumption after optimization over time in the disclosed embodiment. Referring to FIG. 6, T1 refers to a time period when power consumption during a unit time (T) (e.g., a unit time per day) is more than the power generation from renewable energy sources, and T2 refers to a time zone when power consumption during a unit time per day (T) is from renewable energy sources. This refers to a time period when the amount of power generation is less than the original amount.

Here, p _t can be applied to the consumer's power purchase price (i.e., the rate at which the consumer purchases power from the power company) if the time t is a time zone belonging to T1. In addition, p _t can be applied by deducting the surplus power settlement amount obtained by the consumer (i.e., prosumer) by selling electricity to the power company if the relevant time t is a time zone belonging to T2.

That is, the first term in Equation 1 This corresponds to the cost of purchasing power (consumer power purchase fee or surplus power settlement fee), and in times when power consumption is greater than the amount of power generation from renewable energy sources, the fee for purchasing power from the power company (consumer power purchase fee) is applied, and the power consumption amount is This is a term for deducting the surplus power settlement amount obtained by selling the surplus power of the renewable energy source power generation to the electric power company during times when the power generation amount from renewable energy sources is less.

The second term in equation 1 is a term representing the cost (inconvenience cost) of the load shifting inconvenience of the consumer (prosumer). In other words, this is a term that takes into account that the greater the amount of power movement, the more the consumer's discomfort increases, and the consumer discomfort cost conversion coefficient (μ) can be used to reflect that the discomfort caused by load movement is different for each consumer.

The computing device 12 may calculate the consumer discomfort cost conversion coefficient (μ) by analyzing the consumer's power consumption pattern. In an exemplary embodiment, the computing device 12 uses the number of home appliances used by the consumer by day and time, the age group of the resident in the home, the residence time in the home by day and time, and the home heating temperature by day and time to determine the consumer's The consumer discomfort cost conversion coefficient (μ) can be calculated. The larger the consumer inconvenience cost conversion coefficient (μ), this may mean that the consumer refrains from moving the load.

In Equation 1, the third term is is related to the subsidy during the time when voltage problems occur, and is a clause to increase power consumption during that time by adding subsidy to the time when load movement is required. In the disclosed embodiment, in order to stabilize the voltage at the substation area unit, a subsidy may be provided to consumers during times when load movement is required (i.e., times when a voltage drop is required) to induce an increase in power consumption.

In Equation 1, each consumer's power consumption and renewable energy source generation can be collected through AMI (Advanced Metering Infrastructure) installed in each consumer's home.

Meanwhile, when calculating the next day's power consumption through an objective function using an optimization technique, first to fourth constraints may be applied according to Equations 2 to 6 below.

(Equation 2)

α: Moveable load ratio

Equation 2 is the first constraint condition, which allows the load to be moved up to the minimum value of the total amount of load that can be moved or the total amount of surplus power remaining after power generation from renewable energy sources. According to the first constraint condition, it is possible to prevent additional power purchase costs that occur when power consumption increases to a level exceeding the surplus power amount.

(Equation 3)

Equation 3 is the second constraint condition, which sets the total amount of movement of power consumption to 0 and sets the total power consumption to be the same by matching the power decrease amount and power increase amount during the day.

(Equation 4)

Equation 4 is the third constraint, which is a constraint that ensures that the power consumption after optimization is determined to be greater than the amount of power that cannot be moved. In other words, since there is an amount of power that cannot be moved due to an essential load, constraints can be set so that the power consumption after optimization is greater than the amount of power that cannot be moved.

(Equation 5)

(Equation 6)

Equation 5 and Equation 6 are the fourth constraints, which are constraints that set the power consumption after optimization in the entire time range to exist between the existing power consumption and the power generation amount from renewable energy sources.

In step 104, the computing device 12 calculates the power consumption of all prosumers who will move the next day by adding up the next day's power consumption for each prosumer. Steps 102 and 104 have been described as an example of calculating the prosumer's power consumption, and the prosumer's power consumption may be calculated in various ways not illustrated.

In step 106, the computing device 12 calculates the hourly bus voltage of each bus bar based on the power consumption of all prosumers who will move the next day. In an example embodiment, computing device 12 may perform a tide calculation based on the power consumption of all prosumers moving in the next day to calculate the hourly bus voltage for each bus bar.

In step 108, the computing device 12 determines whether the bus voltage in a specific time period exceeds a preset threshold voltage range as a result of calculating the bus voltage for each bus bar by time.

In step 110, when the bus voltage for a specific time zone exceeds a preset threshold voltage range, the computing device 12 increases the subsidy for the time zone by a preset amount. That is, if the bus voltage in a specific time period exceeds a preset threshold voltage range, the subsidy for that time period can be increased by a preset amount for the purpose of lowering the voltage by promoting power transfer for consumers.

The computing device 12 increases the subsidy for the corresponding time zone by a preset amount and then repeatedly performs steps 102 to 110, until the hourly busbar voltage of each busbar becomes less than or equal to the preset threshold voltage. there is. In other words, the subsidy can be increased until the hourly bus voltage of each bus bar falls below a preset threshold voltage range, thereby promoting self-consumption of power generation from renewable energy sources by prosumers during that time period.

According to the disclosed embodiment, the power consumption of all prosumers who will move the next day is calculated, the hourly bus voltage of each bus bar is calculated based on this, and if the calculated bus voltage exceeds a preset threshold voltage range, the subsidy for the corresponding time period is increased. By doing so, self-consumption by prosumers in the corresponding time zone can be promoted and a voltage drop on the bus bar in question can be induced, thereby solving the problem of the bus voltage increase in the corresponding time zone. In addition, it is possible to increase the capacity of renewable energy sources without reducing power generation or increasing system capacity through new line construction.

Additionally, consumers can receive a reduction in electricity bills by acting according to their discomfort characteristics, and power companies can maintain a stable voltage range with minimal expenditure through subsidies.

Additionally, the present invention may further include a computer program stored in a computer-readable recording medium to execute the above-described prosumer self-consumption optimization method on a computer, and/or a computer-readable recording medium on which the computer program is recorded. .

The above detailed description is illustrative of the present invention. Additionally, the foregoing is intended to illustrate preferred embodiments of the present invention, and the present invention can be used in various other combinations, modifications, and environments. That is, changes or modifications can be made within the scope of the inventive concept disclosed in this specification, a scope equivalent to the written disclosure, and/or within the scope of technology or knowledge in the art. The written examples illustrate the best state for implementing the technical idea of the present invention, and various changes required for specific application fields and uses of the present invention are also possible. Accordingly, the detailed description of the invention above is not intended to limit the invention to the disclosed embodiments. Additionally, the appended claims should be construed to include other embodiments as well.

10: Computing environment
12: Computing device
14: processor
16: computer-readable storage medium
18: communication bus
20: Program
22: input/output interface
24: input/output device
26: Network communication interface

Claims (15)

one or more processors, and
A method performed on a computing device having a memory that stores a program executed by the one or more processors,
An operation to check whether a voltage problem occurs in which the bus voltage exceeds a preset threshold voltage range; and
When the bus voltage exceeds the threshold voltage range, increasing a subsidy for power consumption of prosumers during the time when the voltage problem occurs by a preset amount,
The operation of checking whether the voltage problem occurs is,
predicting hourly power consumption of the prosumer;
An operation of calculating hourly bus voltage based on the hourly power consumption; and
An operation of checking whether the hourly bus voltage exceeds a preset threshold voltage range,
The operation of predicting the hourly power consumption of the prosumer is:
The objective function has preset constraints based on an objective function including the prosumer's power purchase cost, inconvenience cost, and subsidy during the time when the voltage problem occurs - the objective function is the consumer power purchase fee or surplus power settlement fee. An operation of optimizing the hourly power consumption of the prosumer through an optimization technique, including the purchase cost, the cost of the prosumer's load shifting inconvenience, and the subsidy during the time when the voltage problem occurs,
The power purchase cost is calculated by multiplying the difference between hourly power consumption after optimization and hourly renewable energy source generation by the hourly power application price, and the cost for the inconvenience of load shifting for the prosumer is calculated by multiplying the hourly power consumption after optimization and hourly power generation before optimization. It is calculated by multiplying the square of the difference value of power consumption by the consumer inconvenience cost conversion coefficient, and the subsidy during the time when the voltage problem occurs is calculated by multiplying the subsidy per hour by the difference value between the hourly power consumption after optimization and the hourly power consumption before optimization. How to optimize prosumer self-consumption. In claim 1,
The operation of increasing the subsidy by a preset amount is,
A prosumer self-consumption optimization method that is repeatedly performed until the bus voltage predicted according to the increased subsidy satisfies the threshold voltage range. delete delete In claim 1,
The operation of optimizing the hourly power consumption of the prosumer is,
A prosumer self-consumption optimization method that calculates the optimal hourly power consumption of the prosumer that minimizes the objective function with the constraints through an objective function using the following equation.
(mathematical expression)

: above power purchase cost
: Cost for the inconvenience of load shifting for the prosumer
: Subsidy during the time period when the above voltage problem occurs
t : time
T: set unit time
p _t : Price of electricity applied per hour
: Power consumption per hour after the above optimization
e _t : power generation from renewable energy sources per hour
: Hourly power consumption before the above optimization
μ: Consumer discomfort cost conversion coefficient
: The above hourly subsidy In claim 5,
The hourly power application price is,
If the time t is a time zone belonging to T1 among the set unit times, the consumer's power purchase price, which is the rate at which the prosumer purchases power from the power company, is applied,
If the time t is a time zone belonging to T2 among the set unit times, the surplus power settlement fee obtained by the prosumer selling the surplus power of the renewable energy source power generation to the power company is deducted and applied,
The T1 is a time zone where power consumption during the unit time is more than the power generation amount from renewable energy sources, and the T2 is a time zone when the power consumption during the unit time is less than the power generation amount from renewable energy sources. In claim 5,
The consumer discomfort cost conversion coefficient is,
A method for optimizing prosumer self-consumption, which is calculated by considering one or more of the number of home appliances used by each prosumer by day and time, the age group of the resident in the home, the residence time in the home by day and time, and the home heating temperature by day and time. A computer program stored in a computer-readable recording medium to execute the method for optimizing prosumer self-consumption according to any one of claims 1, 2, and 5 to 7. One or more processors;
Memory; and
Comprising a program stored in the memory and configured to be executed by the one or more processors,
The above program is,
A command to check whether a voltage problem occurs where the bus voltage exceeds a preset threshold voltage range; and
When the bus voltage exceeds the threshold voltage range, an instruction to increase a subsidy for power consumption of a prosumer during the time when the voltage problem occurs by a preset amount,
The command to check whether the voltage problem occurs is:
A command for predicting hourly power consumption of the prosumer;
A command for calculating hourly bus voltage based on the hourly power consumption; and
Includes a command to check whether the hourly bus voltage exceeds a preset threshold voltage range,
The command for predicting the hourly power consumption of the prosumer is:
The objective function has preset constraints based on an objective function including the prosumer's power purchase cost, inconvenience cost, and subsidy during the time when the voltage problem occurs - the objective function is the consumer power purchase fee or surplus power settlement fee. Includes a purchase cost, a cost for the prosumer's load shifting inconvenience, and a subsidy for the time period when the voltage problem occurs - a command for optimizing the hourly power consumption of the prosumer through an optimization technique,
The power purchase cost is calculated by multiplying the difference between hourly power consumption after optimization and hourly renewable energy source generation by the hourly power application price, and the cost for the prosumer's load shifting inconvenience is calculated by multiplying the hourly power consumption after optimization and hourly power generation before optimization. It is calculated by multiplying the square of the difference value of power consumption by the consumer inconvenience cost conversion coefficient, and the subsidy during the time when the voltage problem occurs is calculated by multiplying the subsidy per hour by the difference value between the hourly power consumption after optimization and the hourly power consumption before optimization. Computing device. In claim 9,
The command to increase the subsidy by a preset amount is:
A computing device that is repeatedly performed until the bus voltage predicted according to the increased subsidy satisfies the threshold voltage range. delete delete In claim 9,
The command for optimizing the hourly power consumption of the prosumer is:
A computing device comprising: a command for calculating the optimal hourly power consumption of the prosumer that minimizes the objective function with the constraints through an objective function according to the following equation.
(mathematical expression)

: above power purchase cost
: Cost for the inconvenience of load shifting for the prosumer
: Subsidy during the time period when the above voltage problem occurs
t : time
T: set unit time
p _t : Price of electricity applied per hour
: Power consumption per hour after the above optimization
e _t : power generation from renewable energy sources per hour
: Hourly power consumption before the above optimization
μ: Consumer discomfort cost conversion coefficient
: The above hourly subsidy In claim 13,
The hourly power application price is,
If the time t is a time zone belonging to T1 among the unit times, the consumer's power purchase price, which is the rate at which the prosumer purchases power from the power company, is applied,
If the time t is a time zone belonging to T2 among the unit times, the surplus power settlement fee obtained by the prosumer selling the surplus power of the renewable energy source power generation to the power company is deducted and applied,
The T1 is a time zone in which the power consumption during the unit time is more than the power generation amount from renewable energy sources, and the T2 is a time zone in which the power consumption during the unit time is less than the power generation amount from renewable energy sources. In claim 13,
The consumer discomfort cost conversion coefficient is,
A computing device that is calculated by taking into account one or more of the number of home appliances used by each prosumer by day and time, the age group of the resident in the home, the residence time in the home by day and time, and the home heating temperature by day and time.