KR20230111849A - Server, method and computer program for configuration of aggregate resource - Google Patents

Abstract

A server constituting aggregate resources by incorporating new resources, comprising: a regional error rate calculating unit calculating error rates per time for a plurality of existing aggregate resources in a region including new resources; a new resource error rate calculation unit that calculates an error rate per time of the new resource by assigning at least one coefficient to the calculated error rate per time; an incorporated set resource error rate calculation unit for calculating a variation error rate of at least one incorporated set resource based on the error rate of the new resource by time and the error rate of the plurality of existing set resources; and an aggregate resource configuration server including an integrated set resource recommendation unit for recommending an incorporated set resource that is within a preset standard error rate among the calculated variation error rates of at least one incorporated set resource.

Description

Aggregate resource configuration server, method and computer program {SERVER, METHOD AND COMPUTER PROGRAM FOR CONFIGURATION OF AGGREGATE RESOURCE}

The present invention relates to a server, method, and computer program for incorporating new resources to construct aggregated resources.

The small-scale power brokerage market collects and trades electricity generated and stored from small-scale resources such as renewable facilities of less than 1 MW, energy storage systems (ESS), and electric vehicles.

For power trading, the small-scale power brokerage business collects small-scale resources to form aggregate resources, and submits the next day's predicted generation amount of aggregate resource units to the power exchange. The power exchange pays settlement money only when the error rate between predicted generation and actual generation is below a certain level (approximately 8%), and penalizes when the error rate exceeds a certain level (approximately 10%).

1 is an exemplary diagram for explaining an aggregation resource configuration according to the prior art. As shown in FIG. 1, the mediation service provider 100 configures aggregation resources by collecting small-scale resources.

For example, the brokerage operator 100 may configure the first collective resource 110 by recruiting the photovoltaic resource 111, the wind resource 112, and the energy storage device 113, configure the second collective resource 120 using only the photovoltaic resource 111 and the wind resource 112, and configure the third collective resource 130 using only the photovoltaic resource 111 and the energy storage device 113. .

Since the brokerage operator 100 can receive the settlement money only when the error rate for the predicted power generation amount of the set resource is below a certain level, it is necessary to configure the set resource so that the error rate does not deviate from a certain level.

In general, when the brokerage operator 100 recruits new resources in a small-scale power market, the new resources are incorporated into existing aggregate resources or new aggregate resources are configured with the new resources. In this case, the error rate of the new resource may affect the existing collective resource, resulting in a change in the proceeds of the existing collective resource, and there is a risk of receiving an error rate penalty (eg, exclusion from market participation, etc.).

However, the prior art lacks consideration for portfolio configuration of aggregate resources for such a small-scale power market.

Korean Registered Patent Publication No. 10-1925723 (registered on November 29, 2018) Korean Patent Publication No. 10-2018-0062327 (published on June 8, 2018)

The present invention is to solve the above-mentioned problems of the prior art, and when new resources are recruited, taking into account the error rate associated with the new resources, the new resources can be incorporated into the existing aggregated resources while minimizing the error rate of the aggregated resources. It is intended to provide a server, method and computer program for configuring resources.

However, the technical problem to be achieved by the present embodiment is not limited to the technical problems described above, and other technical problems may exist.

As a means for achieving the above technical problem, an embodiment of the present invention provides a server for configuring aggregate resources by incorporating new resources, comprising: a regional error rate calculation unit for calculating error rates per time for a plurality of existing aggregate resources in a region including new resources; a new resource error rate calculation unit that calculates an error rate per time of the new resource by assigning at least one coefficient to the calculated error rate per time; an incorporated set resource error rate calculation unit for calculating a variation error rate of at least one incorporated set resource based on the error rate of the new resource by time and the error rate of the plurality of existing set resources; and an integrated set resource recommendation unit for recommending an incorporated set resource that is within a predetermined reference error rate among the calculated variation error rates of at least one incorporated set resource.

Another embodiment of the present invention is a method of configuring aggregate resources by incorporating new resources, comprising: calculating error rates per time for a plurality of existing aggregate resources in a region including new resources; calculating an error rate per time of the new resource by assigning at least one coefficient to the calculated error rate per time; Calculating a variation error rate of at least one incorporated set resource based on the error rate of each time of the new resource and the error rate of the plurality of existing set resources; and recommending an incorporated set resource that is within a predetermined standard error rate among the calculated variation error rates of at least one incorporated set resource.

Another embodiment of the present invention is a computer program stored on a computer readable recording medium including a sequence of instructions for configuring a set resource by incorporating a new resource, wherein the computer program, when executed by a computing device, calculates an hourly error rate for a plurality of existing set resources in an area including a new resource, calculates an hourly error rate of the new resource by assigning at least one coefficient to the calculated hourly error rate, and calculates an hourly error rate of the new resource and an error rate of the plurality of existing set resources based on at least A computer program stored in a computer readable recording medium including a sequence of instructions for calculating a variation error rate of one or more incorporated set resources and recommending an incorporated set resource that is within a predetermined reference error rate among the calculated variation error rates of the at least one incorporated set resource.

The above-described means for solving the problems is only illustrative and should not be construed as limiting the present invention. In addition to the exemplary embodiments described above, there may be additional embodiments described in the drawings and detailed description.

According to any one of the above-described problem solving means of the present invention, when a new resource is recruited, an error rate related to the new resource can be calculated. It is possible to provide an aggregation resource configuration server, method, and computer program capable of incorporating a new resource into an existing aggregation resource while minimizing an error rate of the aggregation resource in consideration of an error rate related to the new resource.

1 is an exemplary diagram for explaining an aggregation resource configuration according to the prior art.
2 is a configuration diagram of an aggregation resource configuration server according to an embodiment of the present invention.
3 to 7 are example data for explaining the incorporation of new resources according to an embodiment of the present invention.
8 is an exemplary diagram for explaining a process of recommending an incorporated set resource according to an embodiment of the present invention.
9 is a flowchart of a method for configuring aggregate resources according to an embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail so that those skilled in the art can easily practice the present invention with reference to the accompanying drawings. However, the present invention may be embodied in many different forms and is not limited to the embodiments described herein. And in order to clearly explain the present invention in the drawings, parts irrelevant to the description are omitted, and similar reference numerals are attached to similar parts throughout the specification.

Throughout the specification, when a part is said to be “connected” to another part, this includes not only the case where it is “directly connected” but also the case where it is “electrically connected” with another element interposed therebetween. In addition, when a part "includes" a certain component, it means that it may further include other components, rather than excluding other components, unless otherwise stated, and it should be understood that the presence or addition of one or more other features, numbers, steps, operations, components, parts, or combinations thereof is not excluded in advance.

In this specification, a "unit" includes a unit realized by hardware, a unit realized by software, and a unit realized using both. Further, one unit may be realized using two or more hardware, and two or more units may be realized by one hardware.

In this specification, some of the operations or functions described as being performed by a terminal or device may be performed instead by a server connected to the terminal or device. Likewise, some of the operations or functions described as being performed by the server may also be performed in a terminal or device connected to the corresponding server.

Hereinafter, an embodiment of the present invention will be described in detail with reference to the accompanying drawings.

2 is a configuration diagram of an aggregation resource configuration server according to an embodiment of the present invention. Referring to FIG. 2 , the set resource configuration server 200 may include a regional error rate calculation unit 210, a new resource error rate calculation unit 220, an incorporated set resource error rate calculation unit 230, and a combined set resource recommendation unit 240. However, the above components 210 to 240 are merely examples of components that can be controlled by the aggregate resource configuration server 200 .

Each component of the aggregate resource configuration server 200 of FIG. 2 is generally connected through a network. For example, as shown in FIG. 2, the regional error rate calculation unit 210, the new resource error rate calculation unit 220, the incorporated set resource error rate calculation unit 230, and the incorporated set resource recommendation unit 240 may be connected at the same time or at a time interval.

A network refers to a connection structure capable of exchanging information between nodes such as terminals and servers, and includes a local area network (LAN), a wide area network (WAN), a World Wide Web (WWW), a wired and wireless data communication network, a telephone network, and a wired and wireless television communication network. Examples of wireless data communication networks include, but are not limited to, 3G, 4G, 5G, 3rd Generation Partnership Project (3GPP), Long Term Evolution (LTE), World Interoperability for Microwave Access (WIMAX), Wi-Fi, Bluetooth communication, infrared communication, ultrasonic communication, Visible Light Communication (VLC), LiFi, and the like.

When new resources are recruited, the set resource configuration server 200 may calculate an error rate related to the new resources. For example, the aggregate resource configuration server 200 may calculate an error rate for a new resource by reflecting the capacity of a power conversion system (PCS), whether an energy storage system (ESS) is installed, the capacity of the energy storage system, and the period of use of the new resource facility for the new resource.

The set resource configuration server 200 may incorporate the new resource into the existing set resource while minimizing the error rate of the set resource in consideration of the error rate related to the new resource. For example, the aggregate resource configuration server 200 may simulate incorporation of new resources into existing aggregate resources and, as a result of the simulation, may provide information on the incorporated aggregate resource having the lowest error rate.

Hereinafter, each component of the aggregate resource configuration server 200 will be reviewed.

The regional error rate calculation unit 210 may calculate error rates per time for a plurality of existing set resources in a region including new resources. For example, when a new solar resource is recruited, the regional error rate calculation unit 210 may calculate an error rate per hour for solar resources in a region to which the new solar resource belongs.

The local error rate calculation unit 210 may calculate the error rate for each time based on the mean absolute error (MAE) of the set resource. For example, the regional error rate calculation unit 210 may calculate an average error rate for each time of the solar energy resources in the region to which the new resource belongs.

The new resource error rate calculation unit 220 may calculate the hourly error rate of the new resource by assigning at least one coefficient to the calculated hourly error rate. For example, the new resource error rate calculation unit 220 may utilize a penalty coefficient for the solar panel usage period of the new solar resource, an advantage coefficient for the ratio including the energy storage system, and a penalty coefficient for the season in which the new solar resource is recruited. Here, the penalty and advantage coefficients may be set by reflecting characteristics of new resources and may vary according to circumstances.

The new resource error rate calculation unit 220 may assign a penalty coefficient reflecting the usage period of the new resource to the calculated error rate per hour. For example, the new resource error rate calculation unit 220 may impose a penalty in a method of multiplying a specific coefficient by a solar panel usage period of the new solar resource.

Specifically, since solar panel efficiency generally decreases by about 1% per year, the new resource error rate calculation unit 220 may set the penalty coefficient to 1.01. For example, when the solar panel usage period of the new solar resource is 4 years, the new resource error rate calculation unit 220 multiplies the penalty factor 1.01 by the solar panel usage period of 4 years to assign as a penalty for the new solar resource.

The new resource error rate calculation unit 220 may give an advantage coefficient based on the ratio of the energy storage system (ESS) to the new resource. For example, when the energy storage device is installed in the new solar resource, the new resource error rate calculation unit 220 may give an advantage of reducing the error rate by a ratio of the capacity of the energy storage device to the capacity of the power conversion device of the new solar resource.

Specifically, the new resource error rate calculation unit 220 may set the error rate reduction coefficient according to the capacity ratio of the energy storage device to '0.05', and the error rate reduction coefficient set when the capacity ratio of the energy storage device of the new solar resource increases by '1' may be reflected.

The new resource error rate calculation unit 220 may assign a seasonal penalty reflecting a season in which a new resource is incorporated to the calculated error rate for each hour. The new resource error rate calculation unit 220 may set the classification of seasons, whether a penalty is imposed according to the season, and the penalty coefficient according to the characteristics of the new resource.

For example, when the season in which new solar resources are recruited is summer (eg, June to August) or winter (eg, November to February), the new resource error rate calculation unit 220 may assign a preset seasonal penalty coefficient, for example, a coefficient equal to '1.5'. On the other hand, the new resource error rate calculation unit 220 may not impose a separate penalty when the season in which new solar resources are recruited is spring (eg, March to May) or fall (eg, September to October).

In addition, the new resource error rate calculation unit 220 may set and assign additional penalty coefficients and advantage coefficients according to the solar panel installation direction and angle of the new solar resources.

The incorporated set resource error rate calculation unit 230 may calculate a variable error rate of at least one incorporated set resource based on the error rate of each time of the new resource and the error rate of a plurality of existing set resources. For example, the incorporated set resource error rate calculation unit 230 may calculate each variable error rate of the existing set resources by applying the minimum, average, and maximum error rates for each hour of the new solar resource to the existing set resources.

Through this, the incorporation set resource error rate calculation unit 230 may simulate incorporation of a new resource into an existing set resource.

For example, the incorporated set resource error rate calculation unit 230 may calculate a variable error rate of each set resource according to the incorporation of a new resource by using an error rate of a time zone in which power generation is high in each existing set resource.

The integrated set resource error rate calculation unit 230 may select at least one maximum generation time from a plurality of existing set resources. For example, the incorporated set resource error rate calculation unit 230 may select a total of three maximum generation times of 12:00, 13:00, and 14:00 for the first set resource, and may select a total of three maximum generation times of 9:00, 15:00, and 16:00 for the second set resource.

The incorporated set resource error rate calculation unit 230 may calculate the variable error rate of at least one incorporated set resource based on the error rate of a plurality of existing set resources and the error rate of the new resource by time at the maximum generation time. For example, the incorporated set resource error rate calculation unit 230 may calculate the first variable error rate, the second variable error rate, and the third variable error rate of the first incorporated set resource using the maximum generation time, 12:00 error rate, 13:00 error rate, and 14:00 error rate of the first set resource, and the hourly error rate of the new solar resource.

The incorporated set resource error rate calculator 230 may calculate an average variable error rate for the calculated variable error rates of at least one incorporated set resource. For example, the incorporated set resource error rate calculator 230 may calculate the average of the first variable error rate, the second variable error rate, and the third variable error rate to calculate the variable error rate of the first incorporated set resource. The incorporated set resource error rate calculation unit 230 may calculate the variable error rate of the second incorporated set resource and the variable error rate of the third incorporated set resource, respectively, in the same manner.

The incorporated set resource recommendation unit 240 may recommend an incorporated set resource that is within a preset reference error rate among the calculated variation error rates of at least one incorporated set resource. For example, the incorporated set resource recommendation unit 240 may recommend a second incorporated set resource and a third incorporated set resource whose error rates are within 10% of a preset reference error rate among the variation error rate (12%) of the first incorporated set resource, the variation error rate (9%) of the second incorporated set resource, and the variation error rate (7%) of the third incorporated set resource.

The incorporated set resource recommendation unit 240 may calculate a variation rate of the variable error rate of the incorporated set resource when there exists an incorporated set resource whose variation error rate of the incorporated set resource is within a preset reference error rate. For example, the incorporated set resource recommendation unit 240 may calculate the standard error rate, the variation rate of the second incorporated set resource within 10%, and the variation error rate of the third incorporated set resource, respectively.

The incorporated set resource recommendation unit 240 may recommend an incorporated set resource based on a variation error rate of the incorporated set resource. For example, the incorporated set resource recommendation unit 240 may determine whether there is an incorporated set resource whose variation rate of variation error rate of the incorporated set resource is '1' or less, and if there is an incorporated set resource whose variation rate of variation error rate is '1' or less, it may recommend an incorporated set resource having the lowest variation rate of the variation error rate of the incorporated set resource.

The incorporated set resource recommendation unit 240 may recommend an incorporated set resource having the largest difference between the facility capacity change rate of the incorporated set resource and the change rate of the variable error rate when the incorporated set resource whose variation rate of variation error rate of the incorporated set resource is '1' or less does not exist.

On the other hand, the incorporated set resource recommendation unit 240 may recommend an incorporated set resource based on the facility capacity of the incorporated set resource when the variation error rate of at least one incorporated set resource exceeds a preset standard error rate.

For example, the incorporated set resource recommendation unit 240 determines the facility capacity change rate (2.01) of the fourth incorporated set resource, the facility capacity change rate (1.95) of the fifth incorporated set resource, and The facility capacity change rate (2.55) of the 6 incorporated set resources is compared, and a sixth incorporated set resource having the largest facility capacity change rate may be recommended.

3 to 7 are example data for explaining the incorporation of new resources according to an embodiment of the present invention. 3 is example data of error rates over time for a plurality of existing set resources in a region including new resources, FIG. 4 is example data for new resources, related coefficients, and incorporated set resources, FIG. 5 is example data of error rates over time of new resources, FIG. 6 is example data of variable error rates of incorporated set resources, and FIG.

Hereinafter, a process for incorporating a new resource into an existing set resource will be described with reference to FIGS. 3 to 7 . Here, it is assumed that the new resource is a solar resource. First, referring to the example data 300 of the hourly error rate shown in FIG. 3, when a new solar resource is recruited, the aggregate resource configuration server 200 can set the hourly error rate of solar resources in the region to which the new solar resource belongs.

For example, the aggregate resource configuration server 200 may utilize an average error rate for each hour of solar resources in an area to which the new solar resource belongs. As in the example data 300 shown in FIG. 3, the aggregate resource configuration server 200 may calculate an error rate average value (8%) at 9 o'clock, an average error rate value at 12 o'clock (10%), an average error rate value at 13 o'clock (11%), an average error rate value at 14 o'clock (12%), and the like.

For another example, when the error rate does not exist for the region to which the new solar resource belongs, the aggregate resource configuration server 200 may use the error rate for the entire region or utilize the error rate for the surrounding region. In addition, the aggregate resource configuration server 200 may utilize the error rate received from the user.

The aggregate resource configuration server 200 may utilize an error rate for each time of a region in which new resources are included in order to reflect the characteristics of the new resources. For example, when the new resource is a solar resource, since the amount of power generation of the solar resource is generally affected by weather such as insolation, temperature, and clouds, an error rate according to a region and an error rate according to time in the region can be set and reflected.

Referring to FIGS. 4 and 5 , the aggregate resource configuration server 200 may assign at least one penalty coefficient or advantage coefficient to an error rate of a region including new solar resources.

Referring to the example data 400 shown in FIG. 4, the collective resource configuration server 200 multiplies the solar panel usage period 412 and '4 years' to the penalty coefficient 413, '1.01' of the new solar resource, and may assign a penalty coefficient reflecting the usage period of the new solar resource.

For example, the aggregate resource configuration server 200 may use the ratio of the capacity 410 of the power conversion device of the new solar resource, the capacity 411 of the energy storage device to '500kW', and the ratio of '1000kW'. The advantage coefficient 414 of '0.05' may be given.

For example, when the season in which new solar resources are recruited is 'spring', the aggregate resource configuration server 200 may assign a season penalty coefficient 415 of '1', which is a preset coefficient for spring.

For example, the aggregate resource configuration server 200 may assign at least one or more penalty coefficients using Equation 1 below.

<Equation 1>

Referring to Equation 1, the aggregate resource configuration server 200 may reflect a penalty coefficient 413 for the usage period of the solar panel, an advantage coefficient 414 for the inclusion ratio of the energy storage device, and a penalty coefficient 415 for the season in which new solar resources are incorporated.

The set resource configuration server 200 may calculate an error rate for each time of a new resource, as shown in the example data 500 shown in FIG. 5 . For example, the aggregate resource configuration server 200 uses Equation 1 to calculate the hourly error rate of the new solar resource by reflecting the influence of the usage period of the new solar resource, the ratio of the energy storage device included in the new solar resource, and the season in which the new solar resource is incorporated.

Referring back to the example data 400 shown in FIG. 4 , the set resource configuration server 200 may select at least one maximum generation time from a plurality of existing set resources. For example, the collective resource configuration server 200 may select a total of three maximum generation times 420 of 12 o'clock, 13 o'clock, and 14 o'clock for the aggregate resource A, 9 o'clock, 15 o'clock, and 16 o'clock for the aggregate resource B. As illustrated in FIG. 4 , the error rate 421 of the maximum generation time selected for the set resource A is an error rate of 8% at 12 o'clock, an error rate of 9% at 13 o'clock, and an error rate of 10% at 14 o'clock.

For example, the set resource configuration server 200 may calculate a variation error rate when a new resource is incorporated into an existing set resource using Equation 2 below.

<Equation 2>

Referring to Equation 2, for example, the aggregated resource configuring server 200 may calculate the variable error rate of the aggregated resource A using the error rate 421 of the maximum generation time selected for the aggregated resource A, the facility capacity 422 of the aggregated resource A, and the error rate per hour of the new resource (refer to the example data 500 shown in FIG. 5).

Similarly, the aggregate resource configuration server 200 may calculate the error rate of variation of the aggregate resource B using the error rate 431 of the maximum generation time selected for the aggregate resource B, the facility capacity 432 of the aggregate resource B, and the error rate per hour of the new resource (refer to the example data 500 shown in FIG. The variation error rate of the set resource C may be calculated using the example data 500 shown in ).

The set resource configuration server 200 may calculate at least one variation error rate 630 for each of the plurality of incorporated set resources 610, as shown in the example data 600 shown in FIG. 6 . For example, the collective resource configuration server 200 may calculate the maximum generation time 620 of the collective resource A, for example, the variation error rate 630 of the incorporated collective resource A 611, '8.03%', '9.03%', and '10.03%' based on 12 o'clock, 13 o'clock and 14 o'clock when a new solar resource is incorporated into the aggregate resource A using Equation 2. The set resource configuration server 200 averages (eg, at least one variation error rate calculated for the incorporated set resource A). ) to calculate the final variation error rate of the incorporated set resource A 611, '9.03%'.

Similarly, when the new solar resource is incorporated into the aggregated resource B, the collective resource configuration server 200 may calculate the maximum generation time 620 of the aggregated resource B, for example, the variation error rate 630 of the incorporated collective resource B 612 based on 9:00, 15:00, and 16:00, '6.03%', '7.09%' and '8.09%' of the aggregated resource B using Equation 2, and the new solar resource is the aggregated resource. When incorporated into C, the variation error rate 630 of the incorporated aggregate resource C 613 based on the maximum development time 620 of aggregate resource C, for example, 19 o'clock, 20 o'clock and 21 o'clock, '10.08%', '11.02%' and '11.93%' can be calculated.

The set resource configuration server 200 averages (eg, at least one variation error rate) calculated with respect to the incorporated set resource B. ) to calculate the final variable error rate of the incorporated set resource B 612, '7.07%', and the set resource configuration server 200 calculates the average of at least one or more variable error rates calculated for the incorporated set resource C (eg: ) to calculate the final variation error rate of the incorporated set resource C 613, '11.01%'.

In this way, the set resource configuration server 200 may calculate the time-varying error rate of the set resource by utilizing the time-time error rate of the new resource. For example, when the new resource is a solar power source, the amount of power generation and revenue generated during the daytime of the solar power resource is generally high, but when the ratio of the energy storage device is high, the amount of power generation in the evening may be relatively higher than in the daytime.

Accordingly, the set resource configuration server 200 may calculate a variation error rate of the incorporated set resource reflecting the maximum power generation time according to the ratio of the energy storage device as well as the influence of the region and season (weather) where the new resource is incorporated. Through this, it is possible to maximize the profit of the amount of power generation by maintaining the error rate for the maximum generation time of the incorporated set resource within the settlement error rate.

The set resource configuration server 200 may recommend an incorporated set resource whose variation error rate of the incorporated set resource is within a preset reference error rate. For example, the set resource configuration server 200 calculates the final variable error rate of the incorporated set resource A 611, '9.03%', the final variable error rate of the incorporated set resource B 612, '7.07%', and the final variable error rate of the incorporated set resource C 613, '11.01%', the reference error rate, for example, the incorporated set resource A 611 and the incorporated set having a variable error rate within 10% Resource B 612 may be recommended.

The set resource configuration server 200 may calculate a rate of change for the variable error rate of the incorporated set resource when there exists an incorporated set resource having a variable error rate within a preset reference error rate. For example, the set resource configuration server 200 may calculate the rate of change of the change error rate of the incorporated set resource using Equation 3 below.

<Equation 3>

The set resource configuration server 200 may calculate the change rate of the change error rate of the incorporated set resource using Equation 3. Referring to the example data 700 shown in FIG. 7 , the set resource configuration server 200 may calculate rates of change 721, 723, and 725 of the change error rates of the plurality of integrated set resources 710 and rates of change of facility capacity 722, 724, and 726, respectively.

As in the example shown in FIG. 7 , the set resource configuration server 200 may calculate the fluctuation rates 721 and '1.003' for the variable error rates '8.03%', '9.03%' and '10.03%' of the incorporated set resource A 711, and the variable error rates of the incorporated set resource B 712, '6.03%', '7.09%' and '8.09%'. The fluctuation rate (723) and '1.01' can be calculated, and the fluctuation rate (725) for the variation error rate, '10.08%', '11.02%' and '11.93%' of the incorporated set resource C (713), '1.001' can be calculated.

The set resource configuration server 200 may recommend an incorporated set resource having the lowest variance rate of the variance error rate when there exists an incorporated set resource having a variance rate of the calculated variance error rate of '1' or less.

On the other hand, as shown in the example of FIG. 7 , the aggregate resource configuration server 200 may calculate a rate of change of the facility capacity of the plurality of integrated aggregate resources 710 when there is no incorporated aggregate resource whose rate of change of the variation error rate of the calculated plurality of integrated aggregate resources 710 is '1' or less. For example, the set resource configuration server 200 may calculate a rate of change of the facility capacity of the incorporated set resource using Equation 4 below.

<Equation 4>

For example, the collective resource configuration server 200 may calculate the change rate 722 and '1.023' for the facility capacity of the transfer collective resource A 711, and the change rate 724 and '1.019' for the facility capacity of the transfer set resource B 712, and the variable rate of the facility capacity of the transfer collective resource C (713) (713) 726), '1.021' can be calculated.

The set resource configuration server 200 may calculate a difference in the change rate of the incorporated set resource using a difference between the change rate of the change error rate of the incorporated set resource and the change rate of the facility capacity. For example, the set resource configuration server 200 may calculate a difference in rate of change of a plurality of incorporated set resources using Equation 5 below.

<Equation 5>

Referring to Equation 5, the set resource configuration server 200 may calculate the difference in the rate of change of the incorporated set resource A, '0.020', using the difference between the rate of change 722, '1.023' of the facility capacity of the incorporated set resource A 711 and the rate of change 721, '1.003' of the variable error rate.

Similarly, the aggregate resource configuration server 200 may calculate the difference in the rate of change of the incorporated aggregate resource B, '0.009', by using the difference between the rate of change 724 of the facility capacity of the incorporated set resource B 712, '1.019' and the rate of change 723 of the variable error rate, '1.01', and may calculate the rate of change of the facility capacity of the incorporated set resource C 713 726, '1.021' and the variable error rate. A difference in the change rate of the incorporated set resource C, '0.020', can be calculated using the difference between the change rate 725 and '1.001'.

The set resource configuration server 200 may recommend an incorporated set resource having the largest difference between the calculated facility capacity change rates 722, 724 and 726 of the plurality of incorporated set resources 710 and the change rates 721, 723 and 725 of the change error rate. For example, among incorporated set resource A, incorporated set resource B, and incorporated set resource C, the set resource configuration server 200 may recommend incorporated set resource A having a large difference in the calculated variation rate (0.020 > 0.009) among incorporated set resource A and incorporated set resource B whose variation error rate is within 10% of the standard error rate.

For another example, when the difference in change rate between the incorporated aggregate resource A and the incorporated aggregate resource B is the same, the aggregate resource configuration server 200 may compare the capacity (22,000 kW) of the integrated aggregate resource A and the capacity (27,000 kW) of the incorporated aggregate resource B, and recommend an integrated aggregate resource B having a larger capacity.

For another example, when the preset standard error rate is 8%, the aggregate resource configuration server 200 may recommend an incorporated aggregate resource B having a variable error rate of '7.07%'.

8 is an exemplary diagram for explaining a process of recommending an incorporated set resource according to an embodiment of the present invention. Referring to FIG. 8 , the set resource configuration server 200 may calculate an average of the variation error rates of at least one incorporated set resource (S810). For example, the set resource configuration server 200 may calculate at least one variable error rate for the incorporated set resource based on the maximum generation time, and may calculate an average of a plurality of variable error rates.

The aggregate resource configuration server 200 may determine whether the variable error rate is within a preset standard error rate (S820). For example, the set resource configuration server 200 may determine whether the variable error rate of the incorporated set resource or the average of the variable error rates is within a preset standard error rate, for example, 10%.

When the variable error rate is within a predetermined standard error rate, the aggregate resource configuration server 200 may determine whether the variation rate for the variable error rate is within a predetermined threshold (S830). For example, the set resource configuration server 200 may calculate a rate of change for the variable error rate of the incorporated set resource when there exists an incorporated set resource whose variable error rate is within a preset reference error rate, for example, 10%. The set resource configuration server 200 may determine whether the calculated rate of change of the change error rate of the incorporated set resource is within a preset threshold, '1'.

On the other hand, when the variable error rate is not within a predetermined standard error rate, the aggregate resource configuration server 200 may select an incorporated aggregate resource having the largest facility capacity (S840). For example, when the variable error rate deviates from a preset standard error rate, for example, 10%, the aggregate resource configuration server 200 may compare the facility capacities of a plurality of incorporated aggregate resources, and as a result of the comparison, select an incorporated aggregate resource having the largest facility capacity.

When the variation rate of the variation error rate is within a preset threshold value, the set resource configuration server 200 may select an incorporated set resource having the lowest variation rate of the variation error rate (S850). For example, the set resource configuration server 200, when there is an incorporated set resource whose variation rate of the variable error rate is within a preset threshold value '1', the incorporated set resource having the lowest rate of change of the variable error rate among a plurality of incorporated set resources. Can be selected.

On the other hand, the aggregate resource configuration server 200 may calculate a difference in the rate of change when the rate of change for the error rate of change is not within a preset threshold (S860). For example, the set resource configuration server 200 may calculate the difference between the rate of change of the facility capacity of the integrated set resource and the rate of change of the variable error rate when the rate of change of the variable error rate exceeds the preset threshold value '1'.

The set resource configuration server 200 may select the incorporated set resource having the largest change rate difference (S870). For example, the set resource configuration server 200 may select and recommend an incorporated set resource having the largest difference between a rate of change of a facility capacity and a rate of change of a variable error rate from among a plurality of incorporated set resources.

9 is a flowchart of a method for configuring aggregate resources according to an embodiment of the present invention. The method for constructing aggregate resources shown in FIG. 9 includes steps processed in time series according to the embodiments shown in FIGS. 2 to 8 . Therefore, even if the contents are omitted below, they are also applied to the method of configuring aggregate resources by incorporating new resources in the aggregate configuration server according to the embodiments shown in FIGS. 2 to 8 .

In step S910, the aggregate resource configuration server 200 may calculate an error rate per hour for a plurality of existing aggregate resources in an area including the new resource.

In step S920, the aggregate resource configuration server 200 may calculate the hourly error rate of the new resource by assigning at least one coefficient to the calculated hourly error rate.

In step S930, the set resource configuration server 200 may calculate a variable error rate of at least one incorporated set resource based on the error rate of each time of the new resource and the error rate of a plurality of existing set resources.

In step S940, the set resource configuration server 200 may recommend an incorporated set resource that is within a preset reference error rate among the calculated variation error rates of at least one incorporated set resource.

In the above description, steps S910 to S940 may be further divided into additional steps or combined into fewer steps, depending on an implementation example of the present invention. Also, some steps may be omitted as needed, and the order of steps may be switched.

The method of configuring aggregate resources by incorporating new resources in the aggregate resource configuration server described with reference to FIGS. 2 to 9 may be implemented in the form of a computer program stored in a computer-readable recording medium executed by a computer or a recording medium containing instructions executable by a computer. In addition, the method of configuring aggregate resources by incorporating new resources in the aggregate resource configuration server described with reference to FIGS. 2 to 9 may be implemented in the form of a computer program stored in a computer-readable recording medium executed by a computer.

Computer readable media can be any available media that can be accessed by a computer, and includes both volatile and nonvolatile media, removable and non-removable media. Also, computer readable recording media may include computer storage media. Computer storage media includes both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data.

The above description of the present invention is for illustrative purposes, and those skilled in the art may understand that it can be easily modified into other specific forms without changing the technical spirit or essential features of the present invention. Therefore, the embodiments described above should be understood as illustrative in all respects and not limiting. For example, each component described as a single type may be implemented in a distributed manner, and similarly, components described as distributed may be implemented in a combined form.

The scope of the present invention is indicated by the claims to be described later rather than the detailed description above, and all changes or modifications derived from the meaning and scope of the claims and equivalent concepts thereof should be construed as being included in the scope of the present invention.

200: aggregate resource configuration server
210: local error rate calculation unit
220: new resource error rate calculation unit
230: incorporated set resource error rate calculation unit
240: transfer set resource recommendation unit

Claims (20)

In a server constituting an aggregate resource by incorporating new resources,
a regional error rate calculation unit that calculates an error rate per time for a plurality of existing set resources in a region including a new resource;
a new resource error rate calculation unit that calculates an error rate per time of the new resource by assigning at least one coefficient to the calculated error rate per time;
an incorporated set resource error rate calculation unit for calculating a variation error rate of at least one incorporated set resource based on the error rate of the new resource by time and the error rate of the plurality of existing set resources; and
An incorporated set resource recommendation unit for recommending an incorporated set resource that is within a preset standard error rate among the calculated error rates of at least one incorporated set resource.
Including, Aggregate resource configuration server.
According to claim 1,
The new resource error rate calculator,
To assign a penalty coefficient reflecting the usage period of the new resource to the calculated error rate for each hour, the aggregate resource configuration server.
According to claim 1,
The new resource error rate calculator,
Aggregate resource configuration server, wherein an advantage coefficient is given based on a ratio in which an energy storage system (ESS) is included in the new resource.
According to claim 1,
The new resource error rate calculator,
and assigning a season penalty reflecting a season in which the new resource is incorporated to the calculated error rate for each hour.
According to claim 1,
The incorporated set resource error rate calculation unit,
Selecting at least one maximum generation time from the plurality of existing aggregate resources;
Calculating a variation error rate of the at least one integrated set resource based on the error rate of the plurality of existing set resources and the hourly error rate of the new resource at the maximum generation time, the set resource configuration server.
According to claim 5,
The incorporated set resource error rate calculation unit,
Calculating an average of the variable error rate for the calculated variable error rate of the at least one incorporated set resource.
According to claim 1,
The incorporated set resource recommendation unit,
and calculating a rate of change of the variation error rate of the incorporated set resource when there is an incorporated set resource whose variation error rate of the incorporated set resource is within the preset reference error rate.
According to claim 7,
The incorporated set resource recommendation unit,
and recommending the incorporated set resource based on the variation error rate of the incorporated set resource.
According to claim 1,
The incorporated set resource recommendation unit,
and recommending an incorporated set resource based on the facility capacity of the incorporated set resource when the variation error rate of the at least one incorporated set resource deviates from the preset reference error rate.
According to claim 1,
The regional error rate calculation unit,
The aggregate resource configuration server calculating the error rate for each time based on the mean absolute error (MAE) of the aggregate resource.
In the method of configuring a set resource by incorporating a new resource,
Calculating an error rate per hour for a plurality of existing set resources in a region including new resources;
calculating an error rate per time of the new resource by assigning at least one coefficient to the calculated error rate per time;
Calculating a variation error rate of at least one incorporated set resource based on the error rate of each time of the new resource and the error rate of the plurality of existing set resources; and
recommending an incorporated set resource that is within a predetermined standard error rate among the calculated variation error rates of at least one incorporated set resource;
Including, a set resource configuration method.
According to claim 11,
Calculating the error rate by time of the new resource,
assigning a penalty coefficient reflecting the period of use of the new resource to the calculated error rate for each hour
Which includes, a set resource configuration method.
According to claim 11,
Calculating the error rate by time of the new resource,
Giving an advantage coefficient based on a ratio of an energy storage system (ESS) included in the new resource
Further comprising, a set resource configuration method.
According to claim 11,
Calculating the error rate by time of the new resource,
Giving a seasonal penalty reflecting the season in which the new resource is incorporated to the calculated hourly error rate
Further comprising, a set resource configuration method.
According to claim 11,
Calculating the variation error rate of the at least one incorporated set resource,
selecting at least one maximum generation time from the plurality of existing set resources; and,
Calculating a variable error rate of the at least one incorporated set resource based on the error rate of the plurality of existing set resources and the error rate of the new resource by time at the maximum generation time
Which includes, a set resource configuration method.
According to claim 15,
Calculating the variation error rate of the at least one incorporated set resource,
Calculating an average of variable error rates for the calculated variable error rates of at least one incorporated set resource
Further comprising, a set resource configuration method.
According to claim 11,
The step of recommending the incorporated set resource,
Calculating a rate of change of the variation error rate of the incorporated set resource when there exists an incorporated set resource whose variation error rate of the incorporated set resource is within the preset reference error rate.
Which includes, a set resource configuration method.
18. The method of claim 17,
The step of recommending the incorporated set resource,
recommending the incorporated set resource based on the variation error rate of the incorporated set resource;
Further comprising, a set resource configuration method.
According to claim 11,
The step of recommending the incorporated set resource,
recommending an incorporated set resource based on the facility capacity of the incorporated set resource when the variation error rate of the at least one incorporated set resource deviates from the preset reference error rate;
Which includes, a set resource configuration method.
A computer program stored in a computer-readable recording medium comprising a sequence of instructions for incorporating new resources to configure a set resource,
When the computer program is executed by a computing device,
Calculate an error rate by time for a plurality of existing aggregate resources in the region containing the new resource,
Calculating the hourly error rate of the new resource by assigning at least one coefficient to the calculated hourly error rate;
Calculating a variation error rate of at least one incorporated set resource based on the error rate of each time of the new resource and the error rate of the plurality of existing set resources;
A computer program stored in a computer readable recording medium comprising a sequence of instructions for recommending an incorporated set resource that is within a preset standard error rate among the calculated variation error rates of the at least one incorporated set resource.

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