KR101718976B1 - Apparatus for performing intelligent management on energy demand considering energy load according to season and time, and method thereof - Google Patents
Apparatus for performing intelligent management on energy demand considering energy load according to season and time, and method thereof Download PDFInfo
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Abstract
Disclosed is an intelligent energy demand management apparatus and a method thereof, which considers energy loads due to season and time.
In this method, first, the energy consumption attribute of each seasonal load time zone is grasped based on the industry type rate policy. It then provides an alarm for energy management based on energy data collected in real time based on the identified energy consumption attribute. Herein, in the process of determining the energy consumption attribute, an energy consumption table is generated by classifying the user's energy data according to seasonal load time zones, and a reference consumption amount for each season load time segment is generated using the energy consumption table, And generating a table.
Description
The present invention relates to an intelligent energy demand management apparatus and a method thereof that considers energy loads over time and season.
KEPCO's standard electric power charges are charged at the base rate and the usage fee.
The base rate is based on the maximum power consumption, and the usage charge is charged differently according to the seasonal energy load time zone.
However, the conventional energy demand management method not only does not consider seasonal load time zones, which are key to charge policy and demand management, but also reduces the accuracy and effectiveness of the system because the average consumption amount of users is set as a saving reference point. That is, the energy demand management method does not reflect the weight of the energy charge according to the season load time zone, and does not distinguish the temporary over consumption and the repetitive consumption in the calculation of the customer specific consumption amount, so the usual consumption habit is not reflected.
In other words, the existing service did not reflect the usual consumption habits of the customer, and it was the logic to reduce unconditionally consumption or to move the consumption time irrationally.
In addition, there is a problem in that there is no service that separately manages the base rate and the usage fee which are different from each other and manages the electric power charging scheme for energy consumption at the same time.
The present invention provides a reasonable and effective intelligent energy demand management apparatus and a method thereof, which reflect real-time energy loads that change according to time of the seasons based on a tariff policy for each industry presented by KEPCO.
The present invention also provides an intelligent energy demand management apparatus and method for extracting a usage pattern according to the severity of a charge for each seasonal load by energy data collected in real time, thereby reducing power in real time in a timely manner.
According to an aspect of the present invention,
Determining an energy consumption attribute of each seasonal load time zone of the user; And providing an energy management service based on energy data collected in real time based on the identified energy consumption properties.
The step of recognizing the energy consumption attribute may include generating energy consumption tables by classifying the user energy data according to seasonal load time zones; And generating an energy attribute table by generating a reference consumption amount for each season load time period using the energy consumption table.
In addition, the providing of the energy management service may include comparing the energy property table with energy data collected in real time; And providing an alarm for energy management according to the comparison result.
The generating of the energy consumption table may further include converting energy consumption data of each user into consumption amount information for each load time period by using a preset load time period classification table for each season; And generating an energy consumption table for each user's energy data for each load time period by using the converted consumption amount information for each load time period.
The generating of the energy attribute table may include grouping consumption amount information on a time-by-load time zone basis using the energy consumption table; And a distribution diagram of the grouped consumption amount information to generate a reference consumption amount for each season load time period.
Also, the comparing of the energy property tables may include comparing the energy data and the energy property table collected in real time and classifying the energy property table on a unit-by-season load time zone basis, and comparing the real-time consumption amount with each of the classification by a reference consumption amount and a maximum consumption amount step; Providing an energy consumption management service through real time consumption using the comparison result; And providing the energy maximum consumption management service through the real time consumption amount using the comparison result.
The step of providing the energy consumption management service may further include displaying an indication of an increase in energy consumption exceeding a consumption pattern of each seasonal load time zone when the real time consumption amount is larger than the reference consumption amount; And performing an indication that energy consumption is in accordance with a consumption pattern of each seasonal load time zone when the real time consumption amount is equal to or less than the reference consumption amount.
In addition, the display is characterized by being different for each load time zone.
The providing of the energy maximum consumption management service may further include displaying an indication of energy consumption close to a maximum consumption pattern of each seasonal load time zone when the real time consumption amount approaches a certain size of the maximum consumption amount; And performing an indication indicating an update of a maximum consumption amount due to an increase in energy consumption exceeding a maximum consumption pattern in a seasonally loaded time zone when the real time consumption amount is larger than the maximum consumption amount.
According to another aspect of the present invention,
A consumption table generation unit for generating an energy consumption table by classifying energy data of a user according to season load time zones; A reference consumption amount generation unit for generating a reference consumption amount for each seasonal load time zone using the energy consumption table; An attribute table generation unit for generating an energy attribute table by generating a reference consumption amount for each load time period by using the energy consumption table for each user by combining each reference consumption amount generated by the reference consumption amount generation unit with a maximum consumption amount; And an energy management unit for comparing the energy data collected in real time with the energy property table to provide an alarm for energy management.
Here, the consumption table generating unit extracts the device information, the date information, the time information, and the consumption amount information from the energy data of the user, and converts the information into the consumption amount information of each unit of load time zone by season using the preset load time zone classification table A data converter; And a generator for generating an energy consumption table for the user's energy data using the consumption amount information converted by the data conversion unit.
The reference consumption amount generation unit may include a grouping unit for grouping the energy consumption amount in units of season load time zones using the energy consumption table; An analysis unit for analyzing a distribution map of the grouped consumption amount information; And a generation unit for generating a reference consumption amount in units of seasonal load time zones using the result analyzed by the analysis unit.
The energy management unit may further include a comparing unit for classifying the energy data collected in real time and the energy attribute table by device, season, and load time, comparing the real time consumption with the reference consumption amount and the maximum consumption amount for each classification, And a saving alarm unit for providing a real time energy consumption management and an energy maximum consumption management service using the real time consumption amount using the comparison result in the comparison unit.
In addition, the saving alarm unit provides an alarm for the energy consumption management through comparison between the real time consumption amount and the reference consumption amount.
In addition, the saving alarm unit provides an alarm for the energy maximum consumption management service by comparing the real consumption amount and the maximum consumption amount.
In another alarm providing method of the present invention,
A method of providing an alarm for providing an energy consumption management service, the method comprising: comparing a reference consumption amount of energy by a load time period according to a user's season with a real time consumption amount; And displaying an energy consumption state of the user as an alarm according to the comparison result.
Here, in the step of displaying the energy consumption state as an alarm, when the real time consumption amount is larger than the reference consumption amount as a result of the comparison, it indicates that the energy consumption state of the user is in a bad state.
In addition, the display is displayed differently according to the load time zone, and the display is marked as being in a worse state as the load is high.
Further, in the step of displaying the energy consumption state as an alarm, when the real time consumption amount is not larger than the reference consumption amount as a result of the comparison, it indicates that the energy consumption state of the user is in a good state.
Also, the display is displayed differently according to the load time zone, and is displayed in a better state as the load is high.
According to another aspect of the present invention, there is provided an alarm providing method for providing an energy maximum consumption management service, comprising: comparing a maximum consumption amount of energy with a real time consumption amount according to a user's season; And displaying an energy maximum consumption state of the user as an alarm according to the comparison result.
If it is determined that the real-time consumption amount is within a critical range of the maximum consumption amount in the step of displaying the energy maximum consumption state as an alarm, it is determined that the energy maximum consumption state of the user is close to the maximum consumption amount And displays the image.
Also, in the step of displaying the energy maximum consumption state as an alarm, it is indicated that the maximum consumption amount is updated when the real time consumption amount is larger than the maximum consumption amount as a result of the comparison.
According to another aspect of the present invention,
A method of providing an alarm for providing an energy demand management service, comprising the steps of: comparing a reference consumption amount and a maximum consumption amount of energy for each load time group according to a user's season with a real time consumption amount; And displaying an energy consumption state and an energy maximum consumption state of the user as alarms according to the comparison result.
Here, the energy consumption state is indicated as being in a poor state when the real-time consumption amount is larger than the reference consumption amount, and is indicated as a good state when the real-time consumption amount is not larger than the reference consumption amount, A state when the real-time consumption amount approaches a critical range of the maximum consumption amount, and a state when the real-time consumption amount updates the maximum consumption amount.
Also, the display of the energy consumption state and the maximum consumption state is provided through one user interface.
The user interface includes a peak alarm display unit indicated by a ring-shaped band and a consumption status display unit displayed as a letter in the ring-shaped zone. The state when the real-time consumption amount approaches the critical range of the maximum consumption amount, And the state when the real consumption amount updates the maximum consumption amount is displayed by changing the color of the peak alarm display unit.
In addition, the energy consumption state is represented by a character indicating a poor state and a good state through the consumption state display unit, and a character indicating the poor state indicates a worse state as the load is high, Indicates a better state as the load is high.
According to the present invention, the demand management method and the service providing method which are the core of the energy efficiency and energy trading business can be maximized because the energy saving rate is increased while customers are enjoying a comfortable consumption environment.
In addition, the management of energy consumption enables intelligent and efficient demand management according to the situation, and respects customer consumption habits, while offering accurate and reasonable standards close to the rates as a standard for saving, resulting in greater practical effects for savings in comfort.
In other words, since we manage the situation that we spend a lot of time in a small charge (light load) and a lot of time in an expensive charge (maximum load) while respecting usual consumption habits, The motivation to save is evident by avoiding the situation where it is allowed to spend a lot of time and spend a lot of time at the time of the expensive charge.
In other words, regardless of my consumption habits, regardless of the inconvenience to reduce the unconditionally based on the consumption attributes, not based on the situation to be reduced and a little more to let you know the difference in the amount of time and energy consuming comfort So that it can be moved or adjusted.
In addition, the maximum consumption control can prevent the blackout and prevent the increase in the base rate charged based on the maximum demand.
In addition, the intelligent demand management method can find money-making bidding resources in comfortable consumption for users in energy trading business (economic DR, NegaWatt) as well as energy efficiency business.
1 is a flowchart of an intelligent energy demand management method according to an embodiment of the present invention.
FIG. 2 is a flowchart illustrating an energy consumption table generation step shown in FIG. 1. Referring to FIG.
FIG. 3 is a diagram showing an example of generating an energy consumption table according to the method of FIG. 2. FIG.
4 is a diagram showing a specific flow of the step of generating the reference consumption amount shown in FIG.
FIG. 5 is a diagram illustrating an example of grouping consumption amounts in units of power load time zones according to the method of FIG.
6 is a diagram showing a normal distribution diagram used for calculating the reference consumption amount.
FIG. 7 is a diagram showing an example of an energy attribute table generated according to the method of FIG.
FIG. 8 is a diagram illustrating a specific flow of a step of providing a customized energy saving alarm based on the energy consumption characteristic shown in FIG.
FIG. 9 is a view illustrating an example of a process of comparing the energy data collected according to the method of FIG. 8 and the energy attribute table.
10 is a diagram showing an energy real-time consumption state alarm according to an embodiment of the present invention.
11 is a configuration block diagram of an intelligent energy demand management device according to an embodiment of the present invention.
12 is a diagram showing a specific configuration of the consumption table generating unit shown in FIG.
13 is a diagram showing a specific configuration of the reference consumption amount generation unit shown in FIG.
FIG. 14 is a diagram showing a specific configuration of the energy management unit shown in FIG.
Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily carry out the present invention. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. In order to clearly illustrate the present invention, parts not related to the description are omitted, and similar parts are denoted by like reference characters throughout the specification.
Throughout the specification, when an element is referred to as "comprising ", it means that it can include other elements as well, without excluding other elements unless specifically stated otherwise. Also, the terms " part, "" module," and " module ", etc. in the specification mean a unit for processing at least one function or operation and may be implemented by hardware or software or a combination of hardware and software have.
Hereinafter, an intelligent energy demand management method based on seasonal power load time zones according to an embodiment of the present invention will be described with reference to the drawings.
1 is a flowchart of an intelligent energy demand management method according to an embodiment of the present invention.
Referring to FIG. 1, first, an energy consumption table is generated by classifying usage data by load time zone according to a season (S100).
Usage data means energy data stored by a user in the past, and such usage data can be measured periodically or in real time through an apparatus for measuring energy consumption installed on the user side. The period may be, for example, in units of 15 minutes. Here, energy mainly refers to electric energy.
In addition, the seasonal load time zone classification table provided by KEPCO is referred to for seasonal load time zone classification. Such a seasonal load time zone classification table is shown in Table 1, for example. That is, in KEPCO, one year is spring fall (from March 1 to May 31, from September 1 to October 31), summer (June 1 to September 31) and winter season From January 1 to February 31, from November 1 to December 31). And, we classify 24 hours a day by load time zone for each season. These load times are classified into the light load time of the day, the peak load time with the largest load, the middle load time with the load larger than the light load time, and the load with the smaller load than the light load time.
[Table 1]
For example, referring to Table 1, if the season is summer, the light load time is 23:00 to 09:00, the intermediate load time is 09:00 to 10:00, 12:00 to 13:00, and 17:00 To 23:00, and the maximum load time period can be classified as 10:00 to 12:00 and 13:00 to 17:00. On the other hand, there may be a plurality of time zones in one time zone, so that they can be further classified in each time zone. For example, there are three time zones in the summer load time zone, so they are divided into three time zones: 09:00 to 10:00 midnight, 12:00 to 13:00 midnight, and 17:00 to midnight, 23:00, respectively. Likewise, for the maximum load time zone, it can be additionally classified as 10:00 to 12:00, which is the maximum one hour, and 13:00 to 17:00, for the maximum 2 hours.
As an example, the seasonal load time zone classification table may change seasonally and load time zones according to the total electric power consumption measured in KEPCO.
Therefore, the usage data is divided into seasonal loads based on the seasonal load time zone classification table, and is generated as an energy consumption table.
Further, the energy consumption table in the usage data is compared with the maximum consumption amount, and if the value is large, the maximum consumption amount is updated. That is, the largest consumption amount among the usage data is the maximum consumption amount. This is applied for each of the maximum consumption amount or seasonal load time zone.
An example of the generation of the generated energy consumption table is shown in Figs. 2 and 3. Fig.
Referring to FIGS. 2 and 3, first, usage data is secured (S110). It is assumed that such usage data is already stored in a storage means such as a memory. Therefore, it is possible to secure the usage data as shown in FIG. 3 by parsing the stored usage data.
Examples of the usage data acquired in FIG. 3 include 55 kWh of air conditioning consumption at 10:00 on July 22, 45 kWh of air conditioning consumption at 11:00 on July 22, ... , 68 kWh of air conditioning consumption at 12 o'clock on July 22, and so on.
The data conversion is performed using the seasonal load time zone classification table for the usage data thus secured (S120).
For example, data conversion is performed as shown in FIG. 3 for 55 kWh, which is the first usage data, July 22, air conditioning consumption. The device is classified as an air conditioner. Since the date is July 22, the season is classified as summer, and the time is 10 o'clock, so it is classified into one maximum load time out of the maximum load time.
Assuming that the maximum consumption amount up to this time is 60 kWh, the maximum consumption amount is still maintained at 60 kWh since the consumption amount of 55 kWh is not larger than the maximum consumption amount of 60 kWh.
However, in case of the third usage data, the air conditioner consumption is 68 kWh, so the consumption amount at this time is larger than the maximum consumption amount of 60 kWh, so the consumption amount at this time is changed to the maximum consumption amount.
According to the data conversion result, an energy consumption table is generated as shown in FIG. 3 (S130). That is, the energy consumption table is a table in which the energy usage data of the user is classified by device, season, and load time zone.
Next, the energy consumption habits of the user are extracted using the energy consumption table generated in the steps S100 and S130, and then the reference consumption amount is generated (S200).
The specific contents of generating the reference consumption amount in units of the user's seasonal power load time zone through the energy consumption table will be described with reference to FIG.
Referring to FIG. 4, in order to extract consumption habits of a user from the energy consumption table, an energy consumption amount for each user is firstly grouped in units of seasonal load time zones, which is a standard for rate setting (S210). In the case of the energy consumption table shown in FIG. 3, since the load time period is the maximum one load time period in summer, the result of grouping based on the maximum one load time period is as shown in FIG. Grouping is also performed for different seasonal load time zones.
Thereafter, the grouped result is used to analyze the distribution of the consumption amount to calculate the reference consumption amount by the load time period of the user.
More specifically, 5% of the consumption amount having the lowest frequency is excluded from the grouped result (S220). Here, the reason for excluding the small frequency 5% is to extract the habit of the user more precisely by removing the abnormal value.
Then, the consumption amount having the maximum frequency in normal distribution with respect to the remaining consumption amount values is calculated as the reference consumption amount in the corresponding power load time period (S230). The reference consumption at this time will be the consumption pattern of the user in the load time zone.
6 is a diagram showing a normal distribution diagram used for calculating the reference consumption amount.
As a result of the above-described step S220, an example of the reference consumption amount for each load time period for each device will be calculated as shown in Table 2 below.
[Table 2]
That is, the consumption pattern of the user is obtained because the reference consumption amount of the user of the air conditioner in the maximum one load time in the summer is 58 kWh.
Next, an energy consumption table for each user is generated by combining the reference consumption amount by user's season load time period calculated in the above step with the maximum consumption amount (S300).
An example of the energy consumption table thus generated is shown in Fig. Referring to FIG. 7, the apparatus is an air conditioner, the seasons are described only for summer, and there are a plurality of load time zones during this summer, namely light load time period, middle one load time period, middle two load time period, , The reference consumption amount for each of the maximum 2 load time zones and the maximum consumption amount in the load time zone are generated as described in the energy consumption table.
Next, a customized energy saving alarm is provided based on the energy consumption characteristics per user (S400).
This will be described in more detail with reference to FIG.
First, the energy data is periodically collected in real time (S410). For example, a 15-minute unit may be used as this cycle. Energy data also includes device type, date, time, and energy consumption.
Thereafter, the energy data to be collected is compared with the energy property table generated in step S300 (S420).
For example, it is assumed that the energy data collected in step S410 is as shown in Table 3 below.
[Table 3]
Then, the energy data collected as shown in [Table 3] is compared with the energy property table as shown in Fig. 7, and this comparative example is shown in Fig.
Referring to FIG. 9, since the device is an air conditioner through the collected energy data, the date is July 31, the season is summer, and the time is 18 o'clock and belongs to the load time zone of middle 3, , The reference consumption is 48 kWh, the maximum consumption is 67 kWh, and the energy consumption currently collected through the collected energy data is 65 kWh.
Accordingly, energy maximum consumption management and real-time energy consumption management are performed using the comparison result in step S420 (S430). At this time, energy maximum consumption management corresponds to basic charge management, and real time energy consumption management corresponds to usage charge management.
More specifically, the energy maximum consumption management will be described first.
Real-time energy maximum consumption management is managed through comparison of real-time energy consumption and maximum consumption. In other words, when the real-time consumption amount is close to the maximum consumption amount, it is managed so as not to exceed the maximum consumption amount by performing the proximity warning, and when the real-time consumption amount exceeds the maximum consumption amount, .
This can be expressed as [Table 4] below.
[Table 4]
Next, we explain real-time energy consumption management.
Energy consumption management is managed through comparison of real-time consumption and reference consumption. That is, when the real-time consumption amount is larger than the reference consumption amount, it is notified that the actual consumption amount is larger than the reference consumption amount, To be managed. At this time, each alarm may be displayed or warned differently depending on the load.
This can be expressed as the following [Table 5].
[Table 5]
As shown in [Table 5], since the load is smaller than the load at the middle part or the peak load, the increase in the real-time consumption at this time does not have a greater effect than the increase in the middle part or the maximum load. A faint alarm is displayed. However, in the peak load time, which is the load of the middle part and one of them, the increase in the usage fee due to the increase of the real time consumption may have a great influence, and therefore, it is warned as a term that can affect the user more by the worst or worst. The same can be applied to the case where the real-time consumption amount is smaller than the reference consumption amount.
Meanwhile, in the embodiment of the present invention, in order to enable the user to manage the energy maximum consumption according to the real-time energy consumption amount and the real-time energy consumption amount management, an intuitive user interface (User Interface) .
10 is a diagram showing an energy real-time consumption state alarm according to an embodiment of the present invention.
Referring to FIG. 10, a center display window of a circle, for example, a consumption
In addition, a display portion on the periphery of the circle, for example, the peak alarm display portion (2), flashes in red when the current consumption amount is close to the maximum consumption amount to warn the proximity to the maximum consumption amount, In such a case, it is displayed in red so as to warn the renewal of the maximum consumption amount so that the rate increase due to the increase in the base rate can be known and prevented in advance.
This type of alarm display is just one example, and a word displayed in a square instead of a circle or a word displayed in the center of a circle may also be replaced by another term.
Hereinafter, an intelligent energy demand management system based on seasonal power load time zones according to an embodiment of the present invention will be described with reference to the drawings.
11 is a configuration block diagram of an intelligent energy demand management device according to an embodiment of the present invention.
11, an intelligent energy demand management system 10 according to an embodiment of the present invention includes a
The
The consumption
The reference consumption
The attribute
The
The
12 is a diagram showing a specific configuration of the consumption
12, the consumption
The
The
FIG. 13 is a diagram showing a specific configuration of the reference consumption
13, the reference consumption
The
The
The
FIG. 14 is a diagram showing a specific configuration of the
As shown in FIG. 14, the
The comparing
While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments, It belongs to the scope of right.
Claims (28)
Collecting energy data representing the energy consumption amount of each seasonal load time zone by the user and calculating a reference consumption amount having a maximum frequency among the maximum consumption amount by each load time period and a maximum frequency among the consumption times by each seasonal load time period, And
Real-time energy consumption is measured, and the maximum energy consumption is compared by comparing the maximum consumption amount corresponding to the seasonal load time zone in which the real-time energy consumption amount belongs to the measured time zone, And managing the energy consumption by comparing the reference consumption amount corresponding to the seasonal load time zone to which the time zone in which the real time energy consumption amount is measured belongs in the consumption attribute,
Wherein the step of determining the energy consumption attribute comprises:
Generating an energy consumption table including a maximum consumption amount for each load time period by classifying the user's energy data according to season load time zones; And
Generating an energy attribute table by generating a reference consumption amount for each season load time segment using the energy consumption table,
Wherein the managing of the energy consumption comprises:
Comparing the energy consumption amount collected in real time with the energy property table; And
And providing an alarm for energy management according to the comparison result,
The step of comparing the energy property tables comprises:
Comparing the energy consumed amount collected in real time and the energy attribute table on a device-by-season load time zone basis, and then comparing the real-time consumption amount with each of the reference consumption amount and the maximum consumption amount;
Providing an energy consumption management service through a real time consumption amount using a comparison result with the reference consumption amount; And
Providing a maximum energy consumption management service through the real-time consumption amount using the comparison result with the maximum consumption amount
The energy demand management method comprising:
Wherein the step of generating the energy consumption table comprises:
Converting each of the energy data of the user into consumption amount information for each seasonal load time zone using a seasonal load time zone classification table set in advance; And
A step of generating an energy consumption table for each user's energy data by seasonal load time period using the converted consumption amount information for each load time period by time
The energy demand management method comprising:
Wherein the step of generating the energy attribute table comprises:
Grouping the consumption amount information in units of seasonal load time zones using the energy consumption table; And
A step of analyzing a distribution diagram of the grouped consumption amount information and generating a consumption amount having a maximum frequency as a reference consumption amount for each season load time period
The energy demand management method comprising:
Wherein the providing of the energy consumption management service comprises:
Performing an indication indicating an increase in energy consumption exceeding a consumption pattern of each seasonal load time zone when the real time consumption amount is larger than the reference consumption amount; And
Performing an indication indicating that energy consumption is in accordance with a consumption pattern in units of seasonally loaded time zones when the real-time consumption amount is equal to or less than the reference consumption amount
The energy demand management method comprising:
Wherein said indication is different for each load time zone.
Wherein the providing of the energy maximum consumption management service comprises:
Performing an indication indicating energy consumption that is close to a maximum consumption pattern in a seasonally loaded time zone when the real-time consumption amount is close to a certain size of the maximum consumption amount; And
Performing an indication indicating an update of a maximum consumption amount due to an increase in energy consumption exceeding a maximum consumption pattern in units of seasonal load time zones when the real time consumption amount is larger than the maximum consumption amount
The energy demand management method comprising:
A reference consumption amount generation unit for generating a consumption amount having a maximum frequency among the consumption amounts for each seasonal load time period using the energy consumption table as a reference consumption amount;
An attribute table generation unit for generating an energy attribute table for each user by combining each reference consumption amount generated by the reference consumption amount generation unit with the maximum consumption amount; And
The energy consumption amount collected in real time is compared with the maximum consumption amount corresponding to each seasonal load time zone in which the energy consumption amount collected in the real time is collected in the energy property table to manage energy maximum consumption, And an energy management unit for managing energy consumption by comparing corresponding reference consumption amounts for each seasonal load time zone to which the energy consumption collected in the real time in the energy property table is collected and providing an alarm for energy management,
The energy management unit,
A comparison unit for classifying the energy data collected in real time and the energy property table by device, season, and load time zone, and comparing the real consumption amount with the reference consumption amount and the maximum consumption amount for each classification; And
A reduction alarm unit for providing an energy consumption management and an energy maximum consumption management service through the real time consumption amount using the comparison result in the comparison unit;
And an energy demand management device.
Wherein the consumption table generating unit comprises:
A data conversion unit for extracting device information, date information, time information, and consumption amount information from the energy data of the user and converting the information into consumption amount information for each unit time-of-load time zone by using a pre-set load time zone classification table; And
A generation unit for generating an energy consumption table for energy data of the user using the consumption amount information converted by the data conversion unit;
And an energy demand management device.
Wherein the reference consumption amount generation unit comprises:
A grouping unit for grouping the energy consumption amount in units of season load time zones using the energy consumption table;
An analysis unit for analyzing a distribution map of the grouped consumption amount information; And
A generation unit for generating a reference consumption amount in units of season load time zones using the result analyzed by the analysis unit;
And an energy demand management device.
Wherein the saving alarm unit provides an alarm for managing the energy consumption through comparison between the real time consumption amount and the reference consumption amount.
Wherein the saving alarm unit provides the energy maximum consumption management service by comparing the real consumption amount and the maximum consumption amount.
Measuring a real time consumption amount and comparing the reference consumption amount and the maximum consumption amount of energy with respect to a load time period according to the season of the user to which the time zone in which the real time consumption amount is measured respectively with the real time consumption amount; And
Performing energy consumption management of the user using the comparison result between the real time consumption amount and the reference consumption amount, performing maximum energy consumption management of the user using the comparison result between the real time consumption amount and the maximum consumption amount, And displaying management information as alarms
/ RTI >
The maximum consumption amount is the maximum consumed amount of the energy consumption amount of each collected load user in each load time zone for each season,
The reference consumption amount is an amount of consumed energy having a maximum frequency for each seasonal load time zone among the energy consumption amount of each collected load time zone for each season
How to provide alarm.
The energy-
The real-time consumption amount is displayed as being in a bad state when the real-time consumption amount is larger than the reference consumption amount, and the good state is indicated when the real-time consumption amount is not larger than the reference consumption amount,
The energy maximum consumption state is a state in which,
A state when the real-time consumption amount approaches the critical range of the maximum consumption amount and a state when the real consumption amount updates the maximum consumption amount
Wherein the alarm is provided to the user.
Wherein the display of the energy consumption state and the maximum consumption state is provided through a single user interface.
Wherein the user interface includes a peak alarm display unit displayed as a ring-shaped band and a consumption status display unit displayed as characters in the ring-shaped band,
Wherein the state when the real-time consumption amount approaches the critical range of the maximum consumption amount is indicated by a flicker of the peak alarm display part,
Wherein the state when the real consumption amount updates the maximum consumption amount is displayed by changing the color of the peak alarm display unit
Wherein the alarm is provided to the user.
Wherein the energy consumption state is represented by a character indicating a poor state and a good state through the consumption state display unit, the character indicating the poor state indicates a worse state in a time period in which the load is high, Characters indicate that the higher the load time, the better
A feature providing alarm.
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