KR102546584B1 - System and method for providing DR guide to customer - Google Patents

Abstract

The present invention relates to demand response (DR) event notification, and more particularly, to provide a demand response guide that provides a user-optimized DR guide based on a user's DR propensity, budget, and discomfort value. It relates to systems and methods.
To this end, the DR guide providing method according to the present invention is a method in which a DR management server provides a customized DR guide to a user terminal, wherein the DR level of the user is leveled based on the DR propensity data of the user. A propensity leveling step, a step of setting the user's target budget by receiving the user's weekly, monthly, or quarterly electricity consumption target budget, and the user's discomfort level based on the demand reduction demand, the user's DR propensity level, and environmental information. a discomfort degree calculation step of calculating a degree of discomfort representing , a DR guide information generation step of generating DR guide information based on the user's DR propensity level, electricity usage target budget, and degree of discomfort; and DR guide information using the DR guide information. and a DR signal outputting step of outputting a signal.

Description

Demand response guide providing system and method {System and method for providing DR guide to customer}

The present invention relates to demand response (DR) event notification, and more particularly, to provide a demand response guide that provides a user-optimized DR guide based on a user's DR propensity, budget, and discomfort value. It relates to systems and methods.

In a power system, a balance must be struck between power supply and demand. This is very important for rational use of limited energy resources. For this reason, the need for power demand management is emerging, and research on demand response, which is an advanced form of demand management, is increasing.

Demand response is when electricity consumers change the level of electricity consumption from their usual electricity consumption patterns in response to incentive motives. Motivation motives include the granting of rewards for reduced electricity consumption and the hourly electricity rate system.

A power supplier notifies a demand response event during a peak time period when power consumption rapidly increases, and electricity consumers who respond to the demand response event proceed with the demand response to reduce power.

However, the conventional DR system notifies the user of the DR event with a simple message asking only the fact that the DR event is issued and whether or not to participate in the DR, thus failing to attract the consumer's interest in DR participation and consequently lowering the DR participation rate.

Korean Patent Publication No. 2016-0134294

The present invention has been devised to solve the above problems, and an object of the present invention is to increase the DR participation rate by encouraging power consumers to participate in the DR when a DR event is issued.

To this end, the demand response guide providing system according to the present invention includes a DR management server that generates DR guide information based on the user's DR propensity level, electricity usage target budget, and discomfort, and transmits a DR signal including the DR guide information. When a DR signal is received from the DR management server, a DR guide message is displayed according to the DR guide information, and when the DR guide message is a DR forced message including a DR automatic execution function, a DR execution command is generated to generate the DR of the customer. It includes a user terminal that transmits to the controller.

In addition, the DR management server according to the present invention receives user data including the user's DR propensity data and electricity usage target budget from the user terminal and transmits a DR signal to the user terminal, and based on the user's DR propensity data, A DR propensity leveling unit that levels the user's DR propensity, a discomfort level calculation unit that calculates a discomfort value representing the user's discomfort level based on the demand reduction demand, the user's DR propensity level, and environmental information, and the user's DR propensity leveling unit It includes a DR guide information generation unit that generates DR guide information based on a propensity level, a target budget for electricity use, and an inconvenience value, and a DR signal output unit that outputs a DR signal using the DR guide information.

In addition, the DR guide providing method according to the present invention is a method in which a DR management server provides a customized DR guide to a user terminal, and the DR propensity of the user is leveled based on the user's DR propensity data. The leveling step, the step of setting the user's target budget by receiving the user's weekly, monthly, or quarterly electricity use target budget, and the user's discomfort level based on the demand reduction demand, the user's DR propensity level, and environmental information A discomfort degree calculation step of calculating the indicated degree of discomfort; a DR guide information generation step of generating DR guide information based on the user's DR propensity level, electricity usage target budget, and degree of discomfort; and a DR signal using the DR guide information. and a DR signal outputting step of outputting.

As described above, the demand response guide providing system according to the present invention provides customized DR guide information optimized for power consumers based on the user's DR propensity, electricity usage target budget, and discomfort value, thereby contributing to the power consumer's participation in DR. It can draw attention to and provide effective DR guides to consumers who are active in DR participation or who need DR participation. Accordingly, there is an effect of increasing the user's DR participation rate compared to the conventional DR.

1 is a configuration diagram of a DR guide providing system in terms of DR event notification according to the present invention.
2 is a configuration diagram of a system for providing a DR guide in terms of performing DR of a consumer according to the present invention.
3 is an internal configuration diagram of a demand response management server according to the present invention.
4 is a flow chart showing a processing procedure of a method for providing a demand response guide according to the present invention.
5 is a flowchart illustrating a process of generating demand response guide information according to the present invention.
6 is a flowchart illustrating a DR event processing process in a user terminal according to the present invention.

Hereinafter, embodiments according to the present invention will be described in detail with reference to the accompanying drawings. The configuration of the present invention and its operational effects will be clearly understood through the following detailed description.

1 and 2 show a schematic configuration of a system for providing a demand response (DR) guide according to the present invention, and FIG. 1 shows an aspect in which the DR management server 10 notifies the user terminal 30 of DR, 2 illustrates an aspect of receiving a DR event notification from the DR management server 10 and performing DR in the consumer 100 .

1 and 2, the demand response guide providing system is composed of a DR management server 10, a communication network 20, and a user terminal 30 of each consumer (generation of electricity consumers). ) is composed of a smart meter 40, a DR controller 50, a plurality of electronic devices 60, and the like.

The DR management server 10 provides and manages a demand response (DR) service to each consumer in order to reduce power demand. The DR server 10 enters into a DR contract with the consumer and transmits a DR signal to the user terminal 30 of the consumer when a DR event is issued.

While the conventional DR management server 10 collectively transmits the same DR signal to customers subscribed to the DR when a DR event is issued, the DR management server 10 according to the present invention determines the DR propensity of users who are in demand, DR guide information optimized for the user is created based on the target budget, degree of inconvenience, etc., and a DR signal including the DR guide information is transmitted to the user terminal 30 to provide a customized DR service.

The user terminal 30 receives a DR signal from the DR management server 10 and displays DR guide information to the user. The user can agree or reject DR participation by checking the DR guide information displayed on the user terminal 30 .

The user terminal 30 transmits user data that is the basis of DR guide information to the DR management server 10 . The user transmits DR propensity data related to his/her own electricity usage pattern, propensity, habit, etc. to the user terminal 30 through a questionnaire or form provided from the DR management server 10 and the user's electricity usage target budget by week, month, or quarter. data can be entered.

The user terminal 30 communicates with the DR management server 10 through a data communication network (WCDMA, LTE, LTE-A, etc.) or the Internet, while communicating with the DR controller 50 of the customer and a local area network (Bluetooth, Zigbee, etc.) can be connected via When the user accepts DR participation after receiving the DR signal from the user terminal 30, the user terminal 30 may automatically transmit a DR execution command to the DR controller 50 connected through a local area network.

The smart meter 40 is a device developed from a watt-hour meter that measures power usage for electricity billing. The smart meter 40 measures power usage (consumption) of a plurality of electronic devices 60 through the DR controller 50 and transmits the power usage to the remote DR management server 10 .

The DR controller 50 controls the operation of various electronic devices 60 such as air conditioners, washing machines, and lighting devices that are in demand when DR is performed. The DR controller 50 stores operation control programs (profiles) capable of controlling the operation of various electronic devices 60 . For example, the DR controller 50 may automatically adjust the set temperature of the air conditioner while maintaining a user's constant level of comfort using a temperature profile.

The DR controller 50 is connected to the user terminal 30 through a local area network, and upon receiving a DR execution command from the user terminal 30, automatically executes an internal operation control program to control the operation of the electronic device 60. will do

3 shows the internal configuration of a DR management server according to the present invention.

Referring to FIG. 3, the DR management server 10 includes a communication unit 11, a DR propensity leveling unit 12, a discomfort calculation unit 13, a database 14, a DR guide information generation unit 15, and a DR signal. It includes an output unit 16, a DR compensation unit 17, and the like.

The communication unit 11 receives user data including the user's DR propensity data and target budget from the user terminal 30 through a mobile communication network (data communication network) or the Internet, and the DR guide information is included in the user terminal 30. transmit the DR signal.

The DR propensity leveling unit 12 provides a questionnaire or form for identifying the user's DR propensity to the user terminal 30 through the communication unit 11, and based on the user's DR propensity data received from the user terminal 30 Level the user's DR propensity.

After the DR propensity leveling unit 12 levels the user's DR propensity based on the user's DR propensity data collected initially, the DR response received from the user terminal 30 and the power consumption received from the smart meter 40 Based on this, it is possible to continuously update the user's initially set DR propensity level.

The discomfort calculation unit 13 calculates the degree of discomfort or discomfort index representing the degree of discomfort of the user as a numerical value. The discomfort level or discomfort index value can be calculated based on the demand reduction demand, DR propensity level, and environmental information (outside temperature, humidity, weather, etc.).

The database 14 stores various DR related data such as DR subscriber information, DR propensity level, electricity usage target budget, and the like.

The DR guide information generator 15 generates DR guide information based on the user's DR propensity, target budget, and degree of discomfort. The DR guide information may include various types of messages, such as a DR forced message including a DR auto-execution function, a general DR forced message, a DR anti-force message, and a DR invitation message.

The DR signal output unit 16 generates a DR signal for notification of a DR event using the DR guide information and outputs the DR signal to the communication unit 11 . In addition to DR guide information, the DR signal may include information such as DR incentives and demand reduction requirements.

The DR compensator 17 compensates for a consumer who has executed DR in response to a DR signal. When the communication unit 11 receives the amount of power consumption from the consumer's smart meter 40 and delivers it to the DR compensation unit 17, the DR compensation unit 17 determines the amount of electricity consumed by the consumer based on the power consumption of the smart meter and the DR incentive. compensation can be calculated.

4 shows a processing sequence for providing a demand response guide according to the present invention. Each step of FIG. 4 is performed within the DR management server.

Referring to FIG. 4 , the DR propensity leveling step (S10) determines the DR propensity level of each user by leveling the user's DR propensity based on the user's DR propensity data received from the user who responded to the questionnaire or form.

The DR propensity level may be classified, for example, from level 1 to level 10 according to the DR policy. As level 1 goes, DR tends to be passive, and as level 10 goes, DR tends to be active. That is, if the level value is small, it can be seen as a tendency to be reluctant to participate in DR, and if the level value is large, it can be seen as a tendency to actively participate in DR even if the inconvenience is endured.

In the user budget setting step (S20), a weekly, monthly or quarterly electricity use target budget input from the user is stored in the database. The user may input, for example, a target electric bill of 40,000 won in September or a target amount of electricity of 280 KWh through the user terminal 30 such as his or her smartphone or computer.

In the step of calculating the degree of discomfort (S30), the degree of discomfort of the user according to the DR operation is calculated in consideration of the amount of demand reduction, the level of the user's DR propensity, environment information, and the like.

The discomfort value increases as the demand reduction demand increases, the outdoor temperature or humidity increases, and the DR propensity level decreases. The uneasiness function can be defined by Equation 1 as follows.

[Equation 1]

Ψ(D _i , T, L _i ) = a/L _i ㆍ(D _i ) ² +bT

Here, Ψ is an uneasiness function, and has D _i , T, and L _i as variables. D _i is the demand reduction demand assigned to user i, T is the outdoor temperature, L _i represents the DR propensity level of user i, and a and b are arbitrary constants.

In the DR guide information generation step (S40), DR guide information is generated based on the user's DR propensity level, electricity usage target budget, and degree of discomfort. A detailed method of generating DR guide information will be described later with reference to FIG. 5 .

In the DR signal output step (S50), a DR signal for notifying a DR event is generated using the DR guide information. The DR signal is transmitted to a user terminal through a communication network. The DR signal includes information such as DR incentive, demand reduction demand, and DR period in addition to DR guide information composed of user-customized DR guide messages.

5 shows a process of generating DR guide information according to the present invention.

Referring to FIG. 5 , first, the possibility of exceeding the budget is determined based on the energy usage history of the consumer (power consumer) and the target budget (S100).

For example, when the DR event notification time is 2:00 PM on September 24, 2017, usage is estimated from September 25 to September 30. Electricity usage for the remaining days of September can be predicted using parameters such as usage and trend of the previous month and usage and trend of the current month of the previous year.

The predicted power usage can be expressed as a probability distribution, and if there is a power usage with a probability higher than a certain value and the power usage exceeds the target budget, it can be determined that the budget is exceeded with a high possibility.

If, as a result of predicting power usage, there is a high possibility of exceeding the user's target budget, a DR compulsory message including an automatic DR execution function is generated regardless of the user's DR propensity level or discomfort.

A DR force message with DR auto-launch function informs the user 'You must participate in DR. Regardless of the customer's intention to participate, I will participate in the DR right away.' A message forcing DR participation is displayed, and at the same time, a DR execution command is automatically generated in the user terminal.

On the other hand, if the possibility of exceeding the user's target budget is low as a result of predicting power consumption, the DR propensity level of the consumer (user) is determined (S102).

As a result of determining the DR propensity level, if it is confirmed that the DR propensity level is high, it is determined whether the discomfort value (level) is high or low (S104).

If the inconvenience value is less than a certain value and the inconvenience is not high, a DR forced message with no DR automatic execution function is generated.

A DR force message without DR auto-launch will tell the user 'You must participate in DR. Please press the DR participation acceptance button.'

On the other hand, if the degree of discomfort is higher than a certain value and it is confirmed that the degree of discomfort is high, a DR anti-force message is generated.

The DR anti-force message displays a message encouraging the user to participate in the DR. for example. The DR anti-force message tells the user, 'Please participate in DR. You can display the message 'Please press the DR participation consent button to enjoy various benefits.'

As a result of determining the DR propensity level, if the DR propensity level is confirmed to be low, it is determined whether the discomfort value (level) is high or low (S106).

If the discomfort value is less than a certain value and the discomfort is not high, a DR anti-force message is generated as in a state in which the DR propensity level is high and the discomfort value is high.

However, if it is confirmed that the degree of discomfort is higher than a certain value, a DR recommendation message is generated.

The DR invitation message does not actively encourage the user to participate in DR, but displays a message to the extent of recommending. For example, the DR solicitation message reads, 'You can enjoy various benefits by participating in DR. We hope you will enjoy many benefits by participating in DR.'

6 illustrates a DR event processing process in a user terminal according to the present invention.

Referring to FIG. 6, the user terminal 30 checks whether a DR signal is received from the DR management server 10 (S200), and displays a DR guide message according to the DR guide information included in the DR signal when the DR signal is received. Do (S202).

It is checked whether the DR guide message is a DR forced message with the DR auto-run function (S204). It is transmitted to the DR controller 50 connected by short-distance communication or the like. When the DR controller 50 receives a DR execution command, it controls the operation of various electronic devices according to an internal automatic control program.

If the DR guide message is a message other than the DR compulsory message having the DR automatic execution function, the user terminal 30 displays a screen for selecting whether or not to participate in the DR to the user, and confirms whether or not the user has selected to participate in the DR (S208). ).

When the user presses the DR participation acceptance button, the user terminal 30 generates a DR execution command and transmits it to the DR controller 50 (S206).

After DR is executed by a DR compulsory message having a DR automatic execution function or the user's selection to participate in DR, or DR is not executed by the user's DR participation refusal, the user terminal 30 transmits a DR response signal for DR execution to DR management. It is transmitted to the server 10 (S210).

The DR management server 10 updates the user's DR propensity level based on the DR response signal received from the user terminal 30 and the amount of power consumption received from the smart meter 40 of the consumer.

The above description is merely illustrative of the present invention, and various modifications may be made by those skilled in the art without departing from the technical spirit of the present invention.

Therefore, the embodiments disclosed in the specification of the present invention are not intended to limit the present invention. The scope of the present invention should be construed by the claims below, and all techniques within the scope equivalent thereto should be construed as being included in the scope of the present invention.

10: DR management server 11: communication unit
12: DR propensity leveling unit 13: discomfort calculation unit
14: database 15: DR guide information generating unit
16: DR signal output unit 17: DR compensation unit
20: communication network 30: user terminal
40: smart meter 50: DR controller
60: consumer electronics

Claims (10)

a communication unit for receiving user data including user DR propensity data and electricity usage target budget from the user terminal and transmitting a DR signal to the user terminal;
a DR propensity leveling unit that levels the user's DR propensity indicating whether the user is passive or active in DR participation based on the user's DR propensity data related to the user's electricity use pattern, propensity, and habit;
a discomfort degree calculation unit that calculates a discomfort value representing a user's degree of discomfort regarding DR participation based on the demand reduction demand amount, the user's DR propensity level, and the environment information;
A DR guide information generation unit for generating DR guide information based on the user's DR propensity level, electricity usage target budget, and discomfort value;
Including a DR signal output unit for outputting a DR signal using the DR guide information,
The DR guide information generation unit determines the possibility of exceeding the budget based on the user's energy use history and the target electricity consumption budget, and if the possibility of exceeding the budget is high, generates a DR forced message including a DR automatic execution function, and the possibility of exceeding the budget If is small, the demand response management server determines the user's DR propensity level. According to claim 1,
In response to the DR signal, further comprising a DR compensator for compensating the demander who executed the DR,
When the communication unit receives the amount of power consumption from the consumer's smart meter and delivers it to the DR compensator, the DR compensator calculates the amount of compensation for the consumer based on the amount of power consumed by the smart meter and the DR incentive. Reactive management server. a user's DR propensity level indicating whether the user is passive or active in DR participation based on the user's DR propensity data related to the user's electricity use pattern, propensity, and habit; a degree of discomfort representing a user's degree of discomfort regarding DR participation based on the amount of demand reduction, the user's DR propensity level, and environmental information; And a DR management server for generating DR guide information based on the electricity use target budget and transmitting a DR signal including the DR guide information;
When a DR signal is received from the DR management server, a DR guide message is displayed according to the DR guide information. If the DR guide message is a DR compulsory message including a DR auto-execution function, a DR execution command is generated and the DR controller of the customer Including the user terminal transmitting to,
The DR management server determines the possibility of exceeding the budget based on the user's energy use history and the target budget for electricity consumption, and if the possibility of exceeding the budget is high, generates a DR compulsory message including a DR automatic execution function, and determines the possibility of exceeding the budget. A system for providing a demand response guide, characterized in that it determines the DR propensity level of the consumer if it is small. According to claim 3,
If the DR guide message is a DR guide message without a DR automatic execution function, the user terminal displays a screen for selecting whether or not to participate in the DR to the user. A system for providing a demand response guide, characterized in that transmitted to the DR controller. A method in which a demand response (DR) management server provides a customized demand response guide to a user terminal,
A DR propensity leveling step of leveling the user's DR propensity indicating whether the user is passive or active in DR participation based on the user's DR propensity data related to the user's electricity use pattern, propensity, and habit;
Setting a user's target budget by receiving the user's weekly, monthly, or quarterly electricity use target budget;
A discomfort degree calculation step of calculating a degree of discomfort representing a user's degree of discomfort regarding DR participation as a numerical value based on the amount of demand reduction, the level of the user's DR propensity, and the environment information;
A DR guide information generation step of generating DR guide information based on the user's DR propensity level, electricity usage target budget, and degree of discomfort;
Including a DR signal outputting step of outputting a DR signal using the DR guide information,
The DR guide information generation step includes a process of determining the possibility of exceeding the budget based on the consumer's energy use history and the target budget, and generating a DR forced message including an automatic DR execution function when the possibility of exceeding the budget is high; and determining a user's DR propensity level if the possibility of exceeding the budget is small. According to claim 5,
The method of providing a demand response guide, characterized in that the step of calculating the degree of discomfort is calculated using a degree of discomfort function expressed by the following equation.
Ψ(D _i , T, L _i ) = a/L _i ㆍ(D _i ) ² +bT
Here, Ψ is the degree of discomfort and has D _i , T and L _i as variables, D _i is the demand reduction demand assigned to user i, T is the outdoor temperature, and L _i is the level of user i's DR propensity, a and b are arbitrary constants. delete According to claim 5,
In the process of determining the user's DR propensity level, if the user's DR propensity level is confirmed to be equal to or higher than the preset level and the inconvenience is less than the preset value, a DR compulsory message without a DR automatic execution function is generated, and the inconvenience A method for providing a demand response guide characterized in that a DR anti-force message is generated when the degree is equal to or greater than a preset value. According to claim 8,
In a state where it is confirmed that the DR propensity level of the consumer is less than a preset level, a DR anti-compulsory message is generated if the degree of discomfort is less than a preset value, and a DR recommendation message is generated if the degree of discomfort is greater than or equal to a preset value A method for providing a demand response guide characterized by: According to claim 5,
After transmitting the output DR signal to the user terminal, if a response to the acceptance or rejection of the DR participation is received from the user terminal, adjusting the user's DR propensity level by reflecting the response result How to provide a demand response guide.

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