KR20200018525A - A System For Managing A Demand Respond With A Scheduling Function - Google Patents

Abstract

A system for managing a demand response with a scheduling function according to the present invention comprises: an electricity information transmission device which transmits electricity consumption information displaying electricity consumption of the home appliances of a member; and a demand response management server which receives the electricity consumption information. Here, the demand response management server can comprise: a saving request input unit which provides a saving request-expected time zone to a retail electric operator server, before providing an interface to receive a saving request time zone from the retail electric operator server; a scheduling information generating unit which calculates the saving request-expected time zone before providing the same to the saving request input unit, and generates scheduling information to schedule a demand response event based on the saving request time zone inputted in the saving request input unit; and a member interface which receives from the member as to whether to participate in the scheduled demand response event, and transmits the result of the demand response event to a terminal of the member.

Description

 Demand response management system including scheduling function {A System For Managing A Demand Respond With A Scheduling Function}

The present invention relates to an apparatus and method for managing demand response, and more particularly, to an apparatus and method for managing demand response that enables a subscriber to manage a demand response program according to a schedule registered by a retail electrician.

Electricity, by its nature, needs to balance supply and demand, and utilities must have sufficient power supply capacity (power generation facilities) to ensure adequate reserve rates when the highest demand power occurs. Until now, the construction of power plants has been in progress in response to the increase in demand. However, as competition progresses due to power liberalization, each operator needs to be cautious about investing in large facilities. In the mid to long term, the shutdown and abolition of thermal power plants are planned, and the government is considering establishing a capacity market to secure power supply capacity. On the other hand, demand response (DR), which not only saves energy but also changes the demand pattern according to the power supply situation, by expanding the supply of energy resources such as renewable energy such as solar power generation and demand-side energy resources such as storage batteries, and the development of IoT. And new businesses such as virtual power plants are also beginning.

In Japan, after the full liberalization of electricity retail in April 2016, new entrants increased and more than 400 retail electricity providers registered with the Ministry of Economy, Trade and Industry as of June 2018. Most of these new entrants do not have their own power generation facilities, and most of them do not use their own power generation facilities to procure electricity from power generation companies, or use Japanese wholesale electricity exchange (JEPX) trading. However, few deals with power generation companies and others, especially small ones, rely on procurement from JEPX. JEPX trades every 30 minutes, and its price is always changing. In particular, the rise in prices may occur due to market fragmentation caused by supply and demand imbalance between summer and winter and congestion of transmission lines between regions, and there are times when power cannot be supplied with stable power and prices.

In Japan, the introduction of a feed-in tariff (FIT) system in July 2012 has led to the rapid introduction of photovoltaic power generation. Since natural fluctuations such as solar power are dependent on the weather, power generation increases in sunny weather, supply and demand is eased, and JEPX prices fall. On the contrary, in rainy or cloudy weather, power generation decreases and supply and demand makes JEPX prices rise. There is a tendency. In addition, due to the massive introduction of photovoltaic power generation, especially when demand is low, solar power is oversupply and weekly supply / demand adjustment is necessary. This supply-and-demand adjustment can include curbing solar power output or increasing demand.

Therefore, as mentioned above, retail electricity providers are always in danger of fluctuations in power procurement prices, and there is a possibility that power procurement prices exceed the retail sale price (hereinafter, referred to as “backward difference”) according to seasons and times.

In order to prevent such a reverse difference, a demand response management system that effectively reduces the power demand during the time period when a reverse difference can occur when the price of the JEPX is rising is effective.

In order to solve the above problem, the present invention may provide an interface for inputting a saving request time. A subscriber interface is also provided that allows subscribers of the program (customers of the retail utility) to schedule this savings request timeframe as demand response events and actually perform the savings.

Accordingly, according to the present invention, there is provided a demand response management system that enables a retail utility to reduce power loss, for example, by suppressing power demand during times when a reverse difference can occur.

In addition, according to another aspect of the present invention, there is provided a subscriber interface capable of operating a service provider such as a retail electric service provider and a subscriber home appliance during a demand response event, and further improving the response result if necessary.

In order to solve the above technical problem, the demand response management system including a scheduling function according to the present invention, the power information transmission device for transmitting power usage information indicating the power usage of the home appliance of the subscriber; And a demand response operation server for receiving the power usage information, wherein the demand response operation server may receive a reduction request time period from the retail electric service provider server after providing the expected time period for the reduction request to the retail electric service provider server. A saving request input unit for providing an interface; A scheduling information generation unit for calculating the expected saving time slot and providing the saving request input unit and generating scheduling information for scheduling a demand response event based on the saving request period inputted to the saving request input unit; It may include a subscriber interface for receiving the participation in the scheduled demand response event from the subscriber, and transmits the result of the demand response event to the terminal of the subscriber.

In this case, the scheduling information generation unit estimates an estimated power purchase price based on scheduling reference information, and sets a time interval in which the estimated power purchase price is higher than a predetermined amount as the power saving request estimated time period, wherein the scheduling reference information includes: Weather information including temperature, sunshine or wind volume; Categorized side information including at least one of day of week, region, and social event; Or continuous additional information including a change in available capacity of the power plant or a change in oil price.

The scheduling information generation unit may estimate, as a power purchase estimated price, an hourly power purchase price of a date having the most similar weather information or the continuous additional information during a predetermined prediction period.

The scheduling information generation unit may estimate the power purchase expected price using weather information or continuous additional information when the classified additional information is the same during the predetermined prediction period.

In addition, the predetermined prediction interval may be determined to include a date different from a year and a year including the demand response event, and the same month day information, or a predetermined period from a date including the demand response event.

In addition, the saving request input unit may provide the power saving request estimated time period to the retail electric service provider server so that the retail electric service provider may refer to the power saving request predicted interval.

The demand response operation server further includes a reduction target calculation unit for calculating a target reduction amount including the power consumption that can be reduced by the subscriber, and the subscriber interface includes the target reduction amount calculated by the reduction target calculation unit in the terminal of the subscriber. Can be provided as

The reduction target calculator may further determine a minimum usage amount based on power consumption for each time interval corresponding to a predetermined date interval from a date for scheduling the demand response event, and calculates a predicted usage amount of the subscriber in a time zone including the demand response event. After the determination, the target reduction amount is calculated based on the difference between the minimum usage amount and the predicted usage amount multiplied by a determination constant, and wherein the reduction target calculation unit is smaller than the target usage amount multiplied by the predicted usage amount and the average estimated error rate. The target saving amount may be modified to be equal to or greater than the multiplied value.

The demand-response operation server may further include a home appliance information generation unit that generates information about the home appliance of the subscriber and a control signal generator that generates a signal for controlling the home appliance of the subscriber and transmits the signal to the home appliance of the subscriber. It may include.

The home appliance information generation unit may extract power usage event information from the power usage information, and label and store the home appliance of the subscriber based on the extracted power usage event information.

The home appliance information generation unit may generate a signal for querying the subscriber's home appliance information to the home appliance of the subscriber and transmit the signal to the home appliance of the subscriber, and the home appliance of the subscriber responds to the signal for inquiring. The type and model information of the home appliance of the subscriber may be transmitted to the home appliance information generation unit.

In addition, the information on the home appliance of the subscriber may include power saving amount information for each device.

In addition, the subscriber interface provides an interface for selecting a home appliance to be automatically controlled during the demand response event among the home appliance of the subscriber based on the information on the home appliance of the subscriber, the control signal generator is selected A control signal for the home appliance can be generated.

In addition, the demand response management system is connected via a network and includes a remote remote control that can control the home appliance of the subscriber, the control signal generation unit to control the control signal for controlling the home appliance of the subscriber through the remote remote control Can be generated.

The demand response operation server may further include a reward information manager configured to manage reward information regarding a result of the demand response event, wherein the reward information manager stores different rewards according to a plurality of platforms for each of the plurality of platforms. And provide it to the subscriber interface.

Accordingly, the demand response management system according to the present invention may provide an interface for providing an estimated time of occurrence of a reverse difference to a retail utility and providing an interface for the retailer to input a request for reduction by referring to the estimated time of occurrence of the reverse difference. Can be.

In addition, a subscriber interface is provided for scheduling the above-described savings request timeframe as a demand response event and for indicating whether the subscriber easily participates.

Accordingly, the present invention provides a demand response management system that can reduce the power demand and reduce the reverse difference of the distributor in a period in which loss of the retail utility can occur.

In addition, according to the present invention, it is possible to provide a subscriber interface that can control the device capable of automatic control in the event of a demand response event to improve the result of the demand response.

1 is a block diagram of a demand response management system according to an embodiment of the present invention.
2 is a view for explaining a power information transmission apparatus according to an embodiment of the present invention.
3 is a block diagram of a demand response management server according to an embodiment of the present invention.
4 is a flowchart illustrating a demand response operating method according to an exemplary embodiment of the present invention.
5 is an illustration of a saving request input unit according to an embodiment of the present invention.
6-11 illustrate an subscriber interface according to one embodiment of the invention.
12 shows an example of the configuration of an additional remote control device according to an embodiment of the present invention.

The following merely illustrates the principles of the invention. Therefore, those skilled in the art, although not explicitly described or illustrated herein, can embody the principles of the invention and invent various devices included in the concept and scope of the invention. In addition, all conditional terms and embodiments listed herein are in principle clearly intended to be understood only for the purpose of understanding the concept of the invention and are not to be limited to the specifically listed embodiments and states. do.

The above objects, features, and advantages will become more apparent from the following detailed description taken in conjunction with the accompanying drawings, whereby the technical spirit of the invention may be easily implemented by those skilled in the art. .

In addition, in describing the invention, when it is determined that the detailed description of the known technology related to the invention may unnecessarily obscure the gist of the invention, the detailed description thereof will be omitted. Hereinafter, with reference to the accompanying drawings will be described.

Hereinafter, a demand response management system having a scheduling function according to an embodiment of the present invention will be described with reference to FIGS. 1 to 4.

1 is a block diagram of a demand response management system having a scheduling function according to an embodiment of the present invention, Figure 2 is a block diagram illustrating a power information transmission apparatus according to an embodiment of the present invention. 3 is a block diagram of a demand response management server according to an embodiment of the present invention. 4 is a flowchart illustrating a demand response operating method according to an embodiment of the present invention.

1. Demand Response Management System 700 Overview

As illustrated in FIG. 1, the demand response management system 700 includes a power information transmission apparatus 100, a demand response operation server 300, a subscriber station 400, and a plurality of home appliances 500 used by a subscriber. ) May be included. In this case, the demand response operation server 300 and the power information transmission apparatus 100 may be connected through the network 200, the network 200 is a wide area network (WAN), local communication network (LAN), PLC (power line communication) It may include a communication network that can transmit and receive power information in various forms such as).

One) Power information transmission device 100

The power information transmitting apparatus 100 may transmit the home power consumption of the subscriber having the plurality of home appliances 500 to the demand response operation server 300. Referring to FIG. 2, a method of transmitting power usage is as follows.

In the first method, as shown in FIG. 2A, the power information transmission device 100 is installed at a node in a wiring apparatus such as a distribution panel or a power strip connected to a plurality of home appliances 500, and is connected to a plurality of home appliances 500. After measuring the total power usage, it is a method of transmitting power usage information indicating the total power usage through the network 200 in real time (eg, once or more per second). For example, the power information transmission device 100 may be installed at a position replacing the branch breaker 120 or the main breaker 110 in the distribution panel. In this case, the power information transmission device 100 may measure the voltage input through the busbar 130 and measure the current through the separate current sensor 140. Alternatively, as shown in FIG. 2 (b), the power information transmitting apparatus 100 may be connected to a branch breaker 120 installed in an internal space of a distribution panel different from the position of the branch breaker 120 or the main breaker 110. The voltage applied through 130-1) may be measured.

In this case, the power information transmission device 100 generates power usage information by calculating an effective power amount, reactive power amount, and power factor according to the measured voltage value and current value, and generates power usage information every specific time (for example, once every minute). It can be transmitted to the demand response operation server 300.

In the second method, as shown in FIG. 2 (c), the power information transmission device 100 becomes a gateway of an energy management system (EMS), so that a plurality of home appliances 500 or separate power measurement devices 105 (eg, For example, a method of receiving power usage from a smart meter and transmitting power usage information through the network 200. In this case, the power information transmitting apparatus 100 and the plurality of home appliances 500 transmit power usage information using a power information transmission standard such as an eco net or an eco net light, or the plurality of home appliances 500. Through the API provided by the manufacturer of the power consumption information or information about the plurality of home appliances 500 (manufacturer, model, etc.) can be transmitted and received.

The third method, as shown in Figure 2 (d), the power information transmission device 100 is a meter that can communicate, the data collection unit 650 of the transmission and distribution equipment collects the power consumption and the retail electricity by the telecommunication device It is a method for transmitting to the demand response operation server 300 via the operator server 600. In this case, the power usage information is transmitted to the demand response operation server 300 at a frequency of once every 30 minutes, for example.

Preferably, the demand response operation server 300 according to the embodiment of the present invention is configured to support the power information transmission apparatus 100 capable of executing the above three methods.

2) subscriber station 400

The subscriber may determine a demand response program participation time period through a web screen or an application program of the subscriber terminal 400 and check the result of the demand response program participation. The subscriber station 400 may be, for example, a communication capable terminal including a computing function such as a smartphone, a tablet, a PC, and the like, and performing a corresponding function, and the demand response operation server 300 through the network 200. Is connected with the subscriber interface 340.

3) demand response operation server (300)

As illustrated in FIG. 3, the demand response operation server 300 may include a reduction target calculator 310, a reduction request input unit 320, a scheduling information generator 330, a subscriber interface 340, and a home appliance information generator 350. The control signal generator 360 and the compensation information manager 370 may be included.

The reduction target calculation unit 310 may receive the power usage information received from the power information transmission apparatus 100 and store / manage the power usage history and calculate a target reduction amount for each subscriber based on the power usage information and the power usage history. . In the present specification, the target saving amount refers to the amount of power available for saving per subscriber. The target savings are, for example, set by the subscriber and expressed by the participation rate in the demand response. Participation rate of the demand response is the ratio of the power consumption during the demand response to the subscriber's usual power usage. The target reduction amount calculation algorithm performed by the reduction target calculation unit 310 will be described later.

The reduction request input unit 320 is an interface through which the retail utility server 600 may input information indicating a time period in which a demand response is required. For example, the saving request input unit 320 may be configured in the form of a web server.

The scheduling information generation unit 330 receives information indicating the amount of power sold from the retail utility server 600, calculates an expected time of saving request including the estimated time of occurrence of reverse difference and information about a power shortage time zone, and inputs a saving request input unit 320. ) Can be provided. In addition, the scheduling information generation unit 330 may schedule the saving request time period input from the retail utility server 600 as a demand response event and generate scheduling information. The generated scheduling information is provided to the subscriber interface 340.

The subscriber interface 340 may be a web server that provides an interface through the subscriber terminal 400 to execute the demand response program. In more detail, the subscriber interface 340 may include a web server including a participation input screen (FIG. 6), a participation registration screen (FIG. 7), an automatic control setting screen (FIG. 8), and an alarm screen (FIG. 9). . Details of the subscriber interface 340 will be described later.

The home appliance information generation unit 350 may generate information corresponding to the subscriber's own home appliance. In this case, the home appliance information generation unit 350 may change a power usage event (eg, ON / OFF of the home appliance or change of power usage when switching modes in the home appliance) from the power usage information input through the power information transmission device 100. And change pattern) to generate information corresponding to the subscriber's own home appliance. In this case, the home appliance information generation unit 350 may label the subscriber's own home appliance based on the power usage event information. The power usage event information is information indicating a change in power usage, for example, at least one change amount of active power and reactive power consumed. That is, the home appliance information generation unit 350 may determine the home appliance type or model name of the subscriber, such as a refrigerator or a washing machine, with respect to the home appliance according to the change of the power consumption. Alternatively, the home appliance information generation unit 350 may update the corresponding information after acquiring the information of the home appliance owned by the subscriber from the power information transmission apparatus 100 or the home appliance itself owned by the subscriber.

In addition, the home appliance information generation unit 350 may use a protocol for querying model information stored in the home appliance. For example, when the plurality of home appliances 500 are connected to one internal network (local area network, LAN), the home appliance information generation unit 350 may connect to a predetermined protocol through the power information transmission apparatus 100. Accordingly, the function and model information of the plurality of connected home appliances can be inquired. In this case, the plurality of home appliances 500 may determine whether data, model information, and external control stored in the home appliance through the power information transmission apparatus 100 may be provided to the home appliance information generation unit 350 of the demand response operation server 300. Can transmit

In addition, the home appliance information generation unit 350 may separately store information indicating power usage for each labeled home appliance from the above-described power usage event information. In addition, when the demand response event occurs, the home appliance information generation unit 350 may generate and store power saving amount information (power saving power) for each device to correspond to the home appliance of the subscriber.

The control signal generator 360 may automatically generate a control signal for controlling at least some of the subscriber's own home appliances when the subscriber's demand response program is in progress. In this case, the control signal may control a home appliance such as an air conditioner according to a control message generated through an API provided by a manufacturer of the home appliance, a control signal of a remote remote controller connected to a communication network or an eco net light, which can control the home appliance. It may be any one of control signals. For example, the control signal generator 360 may generate a control signal for controlling the home appliance of the subscriber through a remote remote controller capable of controlling the home appliance of the subscriber connected through the network.

For example, in order to control the home appliance 500, the demand response operation server 300 may further include a remote control remote controller 1220 (see FIG. 12). In this case, the remote control remote controller 1220 may include a communication module (for example, a WiFi module) and an infrared module (usable as a remote control), and may be connected to a subscriber's home router 1210 or a third generation, which is a broadband communication network. It is possible to receive a control signal or an inquiry signal (a signal used when querying a controllable home appliance) from the demand response operation server 300 through the network 200 connected to the fourth generation or fifth generation wireless communication network, and the inquiry signal. The control corresponding to the response or the control signal may be performed. In addition, the home appliance selected by the subscriber may be controlled through the infrared module of the remote control remote controller 1220.

Meanwhile, the compensation information manager 370 generates compensation information indicating compensation for the result of the demand response event, for example, compensation information corresponding to power consumption reduction of the subscriber participating in the demand response event, and generates the generated compensation information. Can be stored and managed in the storage medium. Alternatively, the compensation information manager 370 may store the amount of use reduction itself as compensation information on the storage medium. Alternatively, the generated reward information may be point information or amount information, for example.

Compensation information generated by the compensation information management unit 370 is provided to the subscriber interface 340, and information on points earned by participation in the electricity rate or demand response event, which the subscriber has reduced so far, can be provided. have.

4) Retail utility server (600)

The retail utility server 600 is provided with a saving request input interface from the demand response operation server 300. In addition, when the power information transmission device 100 is a meter including a communication device, the data collection unit 650 in the transmission and distribution equipment collects the power consumption and transmits it to the retail utility server 600 and the retail utility server 600 It is also possible to transmit the power usage information to the demand response operation server 300.

2. Detailed operation of the demand response management system 700

Hereinafter, a detailed operation of the demand response operation server 300 for implementing the present invention will be described with reference to FIG. 4.

First, the reduction target calculation unit 310 of the demand response operation server 300 calculates a target reduction amount for each subscriber (S410). For example, the target saving amount for each subscriber is calculated as follows.

First, the reduction target calculator 310 may calculate the minimum power consumption for each subscriber. In this case, the reduction target calculation unit 310 may determine a predetermined period of time based on a target reduction amount calculation date (demand response event date) or a date to schedule a demand response event (demand response event input date) to calculate a minimum power consumption. Use power usage data by time zone for the last 7 days). For example, if you are scheduling a demand response event on March 23, 2018, you can use time-phased power usage information between March 16 and March 22, the previous seven days.

In addition, the reduction target calculation unit 310 calculates a difference between the maximum power consumption and the minimum power consumption among time-phase power consumptions of the predetermined time period (eg, between the last seven days) and a predetermined ratio of the difference (for example, 5%). ) And the minimum power consumption can be set to the minimum usage.

For example, suppose you are scheduling a demand response event on March 23, 2018, using the hourly power usage for the previous 7 days, March 16 through March 22, with a maximum power usage of 1000 Wh. Assume that the minimum power usage is 100Wh. In this case, the reduction target calculator 310 may set 145Wh as the minimum usage amount, which is 45Wh which is 5% of the difference between the maximum power usage and the minimum power usage as the minimum power consumption.

Next, the reduction target calculator 310 may calculate the predicted usage amount of the subscriber. The predicted usage means a power usage forecast value of the subscriber at the time of the demand response event. In this case, the reduction target calculation unit 310 may use, for example, the median value or the average value of the power usage in the same time zone in the three weeks before the time when the demand response event occurs as the predicted usage amount. Alternatively, the reduction target calculator 310 may apply a usage prediction value provided by the retail utility server 600.

Once the forecasted usage and minimum usage have been determined, the target savings can be determined by multiplying the difference between the forecasted usage and the minimum usage by a decision constant that is any value between 0 and 1. However, it is desirable to set the decision constant so that the target saving amount is more than the product of the predicted usage amount and the average predicted error rate. The average forecast error rate is the ratio of the difference from the actual power usage forecast usage to the actual power usage. The reduction target calculator 310 may modify the target reduction amount to be equal to or greater than the multiplication of the predicted usage average prediction error rate when the target reduction amount is smaller than the multiplication of the prediction usage average prediction error rate. Also, for example, the reduction target calculation unit 310 may determine the determination constant to be the maximum value of the actual reduction amount of the corresponding subscriber.

For example, the case where the minimum usage amount is 145Wh, the prediction usage amount is 500Wh, and the average prediction error rate is 5% will be described. At this time, the difference between the predicted usage amount and the minimum usage amount is 355 Wh, and the predicted usage amount * average prediction error rate is 2 Wh. Therefore, the reduction target calculation unit 310 sets the crystal constant so that 25Wh / 355Wh = 7% or more.

Next, the demand response operation server 300 may generate scheduling information including information corresponding to the time zone for saving request (S420). In this case, the demand response operation server 300 may receive an input of a request time for saving of the retail electricity provider server 600 through the request for saving input 320. In this case, the reduction request input unit 320 preferably provides the expected savings time to the retail utility server 600 by default. The retail utility server 600 refers to a saving request estimated time provided by the saving request input unit 320, and a user of the retail electricity supplier server 600 modifies the provided saving request request time to input a saving request time period. The expected savings request time may include an estimated time of occurrence of the reverse difference.

In this case, the estimated time of occurrence of the reverse difference can be calculated as follows.

First, the scheduling information generator 330 predicts a price for each time of the demand response event date. Specifically, the scheduling information generator 330 predicts a price by using information about an environment affecting the price of the demand response event date.

To this end, the scheduling information generation unit 330 estimates a power purchase price based on scheduling reference information including information on factors affecting a power transaction price, and sets a time period during which the power purchase price is higher than a predetermined amount. It can be estimated from the estimated time of savings request. The scheduling reference information is additional information about the environment related to the determination of the power purchase price, and includes, for example, weather information including temperature, humidity, sunshine, or wind volume; Categorized additional information including at least one of day of week, local and social event; It may include continuous additional information including fuel price trends.

More specifically, the scheduling information generator 330 may use additional information about the environment of the predetermined prediction period when trying to predict the power purchase price for each time period of the date to be predicted. In this case, the predetermined forecast period may include, for example, additional information of a predetermined period (for example, 15 days before and after) before and after the demand response event date to be predicted and the year is different from each other. have. Alternatively, the predetermined forecast period may utilize additional information of a certain period before the date of the demand response event to be predicted, for example, just one month.

For example, when the scheduling information generation unit 330 tries to predict the power purchase estimated price at the demand response event time on April 1, 2018 (that is, when the predicted date is April 1, 2018), The predetermined forecast period may be 15 days before and after around April 1, 2018 and the same year, and the same month, for example, April 1, 2015 to 2017. In other words, when the forecast date is April 1, 2018, the forecast period may use the purchase price of electricity from 2015 to March 15 to April 15 as the estimated price. Alternatively, additional information from March 1 to March 31, 2018, which is one month prior to April 1, 2018, may be used as an estimated price.

In addition, the scheduling information generation unit 330 may use the power purchase price for each time zone as a predicted price of electricity for a date of an environment similar to the most predicted date among the predetermined prediction periods, for example, a weather (temperature or sunshine) that is most similar. It can be estimated. In this case, when there are a plurality of dates having similar prediction target dates and environments, the scheduling information generator 330 may further consider an environment for each prediction target time zone to be predicted. For example, when a plurality of days having the most similar average temperature exists during the predetermined forecast period, a date having the most similar average temperature in the target time zone may be selected.

For example, the average temperature for the forecast date (April 1, 2018) is 12.5 degrees, and the average temperature from 2 pm to 3 pm on the forecast date for a predetermined forecast period is April 1, 2017. If 13 degrees, and April 3, 2017 is 10 degrees, you can choose April 1, 2017, which is the closest to the weather (average temperature) of the time of the forecast date, as the basis for the power purchase price estimate.

The scheduling information generator 330 may use the classified additional information including at least one of a day of the week, a region, and a social event (holiday) for price prediction. For example, when the forecast target date is Monday, the weather information of the weekday or the weather information of Monday during the predetermined forecast period may be used for the price prediction. In addition, the fuel price trend, which is continuous additional information, may be used to estimate an expected price of purchasing power.

The scheduling information generation unit 330 selects a date most similar to the predicted target environment and the environment, sets a power purchase price for each selected time period according to the predicted price, and sets a reference amount determined for each retail electrician by the time purchase power. Example: A time zone exceeding 150 won / kWh is set as the estimated time for saving request.

Accordingly, the scheduling information generator 330 may generate and display scheduling information by reflecting the saving request time zone and reflecting the information modified by the saving request input unit 320. For example, referring to FIG. 5, the calendar 510 displays and displays the calculated saving request time zone 520, and a user of the retail utility server 600 may automatically modify and input the displayed saving request time zone. .

In addition, the demand response operation server 300 may receive an input of information on whether to participate in the demand response event for each subscriber and the participation rate at the time of the saving request from the subscriber (S430).

In this case, the demand response operation server 300 receives the subscriber's input through the subscriber interface 340. The screen of the subscriber interface 340 will be described later.

Thereafter, the demand response operation server 300 may monitor actual power usage through the power information transmission apparatus 100 (S440).

Finally, the demand response operation server 300 may check the execution result of the demand response event based on the monitoring result of the actual power usage for each subscriber and give a reward (S450). At this time, the subscriber can check the execution result and the reward point of the demand response event through the subscriber interface 340 on the screen.

3. Detailed Operation of the Subscriber Interface 340 and the Subscriber Terminal

Hereinafter, exemplary detailed operations of the subscriber interface 340 and the subscriber station according to the embodiment of the present invention will be described with reference to FIGS. 6 and 9.

6 to 9, the subscriber interface 340 provides a participation input screen (FIG. 6), a participation registration screen (FIG. 7), an automatic control setting screen (FIG. 8), and an alarm screen (FIG. 9). It can include a web server.

The presence or absence input screen provides platform-specific display units 620 and 621 and a participation confirmation button 610 that display results of the demand response program provided by various platforms.

The plurality of platforms may be, for example, a demand response aggregator operating separately from a demand response program platform provided by a retail utility server 600 selling electricity to a subscriber's home or another utility. May include a demand response program platform. Alternatively, the plurality of platforms may include a case where a subscriber registers and schedules a power saving event by itself.

In this case, the rewards provided by the plurality of platforms may be different as shown in FIG. 6. That is, the compensation information manager 370 stores different rewards for each platform and provides them to the subscriber interface according to the plurality of platforms. In the case of FIG. 6, the demand response program of the first platform 620 is a form in which electricity savings have been saved so far, and the demand response program of the second platform 621 provides rewards in the form of points.

At this time, if the subscriber checks the available time to participate in the demand response program from the scheduling information displayed on the participation input screen, and presses the participation confirmation button 610 at the available time, the subscriber can move to the participation registration screen of FIG. 7.

On the participation registration screen, the subscriber registers the participation while referring to detailed information on the demand response program of the selected date and time. In addition, the subscriber can modify the participation time (start time and end time, 710) and the power saving target (participation rate) through the participation registration screen.

In this case, the subscriber interface 340 provides a target reduction amount 720 calculated by the reduction target calculation unit 310 on the participation registration screen by default. In this case, the subscriber may change the power saving amount 730 by changing the target saving amount 720.

In addition, the subscriber interface 340 provides an automatic control setting screen as an interface for selecting a home appliance to be automatically controlled during a demand response event. 8 may set a home appliance to be automatically controlled when the demand response program is executed. In the automatic control setting screen, a target device check box 810, a target device icon 820, and a reduction target 830 for each device may be provided.

At this time, the list of controllable home appliances can be stored in the demand response server 300 as a database, and can be updated by confirming the type and model of the home appliance through analysis of power consumption and patterns.

Alternatively, the demand response operation server 300 may check the function and model information of the home appliance using a protocol for querying model information stored in the home appliance. For example, when a plurality of home appliances are connected to the subscriber terminal 400 through one internal network (local area network, LAN), the demand response server 300 and the subscriber terminal 400 connected to the same internal network. ) Or the power information transmission device 100 connected to the same internal network may query the plurality of home appliances for function and model information. In response to the above-described query, a plurality of home appliances respond to the demand and response operation server 300, the subscriber terminal 400 connected to the same internal network, or the power information connected to the same internal network. It may be transmitted to the transmission device 100.

In addition, the home appliance control signal generator 350 of the demand response operation server 300 may update the stored controllable home appliance list of the subscriber.

Meanwhile, the subscriber interface 340 executes a demand response and provides an alarm screen as shown in FIG. 9.

In the alarm screen, first, the remaining time until the start of the demand response program (mission) or the participation time and the power saving target are presented (FIG. 9 (a)), and the progress state is displayed during the demand response program. In this case, the alarm screen may calculate an advancing speed and display an alarm when it is difficult to achieve the target at the current speed (FIG. 9B). In addition, when the demand response program ends, the subscriber interface 340 may display the execution result of the demand response program (FIG. 9 (c)).

Referring to FIG. 10, the subscriber interface 340 may provide a detailed result of the participation result of the demand response.

For example, the subscriber interface 340 provides a summary of power saving results (eg, a monthly summary or a yearly summary) screen that summarizes the subscriber's participation in demand response to date (see FIG. 10 (a)), or an event. It may also provide a screen (see Fig. 10 (b)) showing in detail the results of the participation in the demand response. In this case, the subscriber interface 340 moves to the screen on the device-specific power saving confirmation screen (FIG. 11) when the user presses the device-specific power saving confirmation button 1130. In this case, the home appliance information generation unit 350 may store power consumption for each device and power saving for each device.

Accordingly, the demand response management system according to the present invention provides an interface for providing an estimated time of occurrence of a reverse difference to a retailer and inputting a reduction request time with reference to the estimated time of occurrence of the reverse difference. Can provide. In addition, a subscriber interface is provided so that the subscriber can easily indicate whether to participate by scheduling the above-described saving request time zone as a demand response event.

Thus, according to the present invention, there is provided a demand response management system that reduces power demand and reduces losses of distributors during periods when losses of retail utilities can occur.

In addition, according to the present invention, there is provided a subscriber interface that can automatically control the automatic controllable device at the time of a demand response event to improve the result of the demand response.

The above description is merely illustrative of the technical idea of the present invention, and various modifications, changes, and substitutions may be made by those skilled in the art without departing from the essential characteristics of the present invention. It is possible.

Accordingly, the embodiments disclosed in the present invention and the accompanying drawings are not intended to limit the technical spirit of the present invention but to describe the present invention, and the scope of the technical idea of the present invention is not limited by the embodiments and the accompanying drawings. . The protection scope of the present invention should be interpreted by the following claims, and all technical ideas within the equivalent scope should be interpreted as being included in the scope of the present invention.

Claims (15)

A power information transmission device for transmitting power usage information indicating power usage of the home appliance of the subscriber; And
Including a demand response operation server for receiving the power usage information,
The demand response operation server,
A saving request input unit providing an interface for receiving a saving request time period from the retail utility server after providing the expected saving time period to the retail utility server;
A scheduling information generation unit for calculating the expected saving time slot and providing the saving request input unit and generating scheduling information for scheduling a demand response event based on the saving request period inputted to the saving request input unit;
And a subscriber interface receiving an input of participation in the scheduled demand response event from the subscriber, and transmitting a result of the demand response event to the terminal of the subscriber.
Demand response management system including scheduling function. The method of claim 1,
The scheduling information generation unit estimates an estimated power purchase price based on scheduling reference information, and sets a time interval in which the estimated power purchase price is higher than a predetermined amount as the power saving request estimated time zone,
The scheduling reference information may include weather information including temperature, sunshine amount or air volume; Categorized side information including at least one of day of week, region, and social event; Or continuous additional information including a change in available capacity or a change in oil price of the power generation facility.
Demand response management system including scheduling function. The method of claim 2,
The scheduling information generation unit estimates an hourly power purchase price of a date having the most similar weather information or the continuous additional information as a power purchase estimated price during a predetermined prediction period.
Demand response management system including scheduling function. The method of claim 3, wherein
The scheduling information generation unit estimates the power purchase estimated price using weather information or continuous additional information when the classified additional information is the same during the predetermined prediction interval.
Demand response management system including scheduling function. The method of claim 3, wherein
The predetermined prediction interval is determined to include a date different from a date and a year including the demand response event and the same month day information, or determined from a date including the demand response event for a predetermined period of time.
Demand response management system including scheduling function. The method of claim 1,
The reduction request input unit may provide the power saving request estimated time period to the retail electric service provider server so that the retail electric service provider may refer to the power saving request predicted interval.
Demand response management system including scheduling function. The method of claim 1,
The demand response operation server further includes a reduction target calculation unit for calculating a target reduction amount including the power consumption that can be reduced by the subscriber, and the subscriber interface includes the target reduction amount calculated by the reduction target calculation unit in the terminal of the subscriber. Provided by,
Demand response management system including scheduling function. The method of claim 7, wherein
The reduction target calculating unit determines a minimum amount of usage based on time-phase power consumption for a predetermined date interval from a date for scheduling the demand response event,
After determining the predicted usage amount of the subscriber in the time zone including the demand response event, calculating the target reduction amount based on a value obtained by multiplying the difference between the minimum usage amount and the predicted usage amount by a determination constant,
The reduction target calculating unit corrects the target reduction amount to be equal to or greater than the multiplied value when the target reduction amount is smaller than the product of the estimated usage amount and the average estimated error rate.
Demand response management system including scheduling function. The method of claim 1,
The demand response operation server further includes a home appliance information generation unit for generating information on the home appliance of the subscriber and a control signal generator for generating a signal for controlling the home appliance of the subscriber and transmitting the signal to the home appliance of the subscriber. ,
Demand response management system including scheduling function. The method of claim 9,
The home appliance information generation unit extracts power usage event information from the power usage information, and stores and stores the home appliance of the subscriber based on the extracted power usage event information.
Demand response management system including scheduling function. The method of claim 9,
The home appliance information generation unit generates a signal for inquiring information about the home appliance of the subscriber to the home appliance of the subscriber and transmits the signal to the home appliance of the subscriber, and the home appliance of the subscriber responds to the inquiring signal. Transmitting the type and model information of the home appliance of the subscriber to the home appliance information generation unit;
Demand response management system including scheduling function. The method of claim 9,
The information on the home appliance of the subscriber includes power saving amount information for each device.
Demand response management system including scheduling function. The method of claim 9,
The subscriber interface provides an interface for selecting a home appliance to be automatically controlled during the demand response event among the home appliance of the subscriber, based on the information on the home appliance of the subscriber,
The control signal generator generates a control signal for the selected home appliance,
Demand response management system including scheduling function. The method of claim 9,
The demand response management system is connected via a network and includes a remote remote control that can control the home appliance of the subscriber,
The control signal generator generates a control signal for controlling the home appliance of the subscriber through the remote remote control,
Demand response management system including scheduling function. The method of claim 1,
The demand response operation server further comprises a compensation information management unit for managing the compensation information for the result of the demand response event,
The reward information management unit stores different rewards according to a plurality of platforms for each of the plurality of platforms and provides them to the subscriber interface.
Demand response management system including scheduling function.

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