KR102223891B1 - Apparatus and method for distributing capacity of energy storage system - Google Patents

Abstract

The present application relates to an ESS capacity distribution method and an ESS capacity distribution device of a target facility. In particular, the ESS capacity distribution method of a target facility according to an embodiment of the present invention is an ESS (Energy Storage System) capacity distribution device from the target facility. A data receiving step of receiving power data on power consumption; Among the total capacity of the ESS (Energy Storage System) applied to the target facility, the ESS capacity distribution device includes the amount of DR input participating in the Demand Response (DR), and the amount of power used by the target facility by time. An input amount setting step of respectively setting a power saving input amount for adjusting the power saving input amount; A savings calculation step of calculating a corresponding DR saving amount and power saving amount by applying the set DR input amount and power saving input amount to the power data, by the ESS capacity distribution device; And by repeating the input amount setting step and the savings calculation step, the ESS capacity distribution device includes a maximum value derivation step of deriving a target DR input amount and a target power saving input amount in which the sum of the power saving amount and the DR saving amount becomes the maximum value. I can.

Description

Apparatus and method for distributing capacity of energy storage system {Apparatus and method for distributing capacity of energy storage system}

This application relates to the ESS capacity distribution method and ESS capacity distribution device of the target facility. In particular, the ESS capacity distribution method and ESS capacity distribution device of the target facility capable of optimal ESS capacity distribution to minimize the power charge imposed on the target facility. It is about.

In the case of the monthly electricity rate, which is determined according to the contract electricity rate system mainly applied to buildings or facilities in Korea, it is determined by the sum of the basic rate and the usage fee. Among these, the basic charge refers to the value obtained by multiplying the peak power, which is the maximum power consumption for 15 minutes of the year, and the standard unit price for each type of contract.

Conventionally, by applying an energy storage system (ESS) to buildings or facilities, it is most common to charge the energy storage system at the time when the electric charge is the lowest and discharge the energy storage system at the time when the electric charge is the highest. Was.

That is, since power bill reduction is achieved by focusing only on the power usage charge, when the peak power determining the basic charge does not occur during the time when the power charge is the highest, the effect of reducing the power charge occurs.

The present application aims to provide an ESS capacity distribution method and an ESS capacity distribution device of a target facility capable of optimal ESS capacity distribution to minimize power charges imposed on the target facility.

An ESS capacity distribution method of a target facility according to an embodiment of the present invention includes a data receiving step of receiving, by an ESS (Energy Storage System) capacity distribution device, power data on power consumption from the target facility; Among the total capacity of the ESS (Energy Storage System) applied to the target facility, the ESS capacity distribution device includes the amount of DR input participating in the Demand Response (DR), and the amount of power used by the target facility by time. An input amount setting step of respectively setting a power saving input amount for adjusting the power saving input amount; A savings calculation step of calculating a corresponding DR saving amount and power saving amount by applying the set DR input amount and power saving input amount to the power data, by the ESS capacity distribution device; And by repeating the input amount setting step and the savings calculation step, the ESS capacity distribution device includes a maximum value derivation step of deriving a target DR input amount and a target power saving input amount in which the sum of the power saving amount and the DR saving amount becomes the maximum value. I can.

In the step of setting the input amount, the DR input amount and the power saving input amount may be set by sequentially varying a ratio of the DR input amount and the power saving input amount among the total capacity of the energy storage device.

Here, in the data receiving step, power data including daily power consumption for the past one year of the target facility may be received.

Here, the daily power consumption may be displayed in a time series by dividing the power consumption used by the target facility for 24 hours by a reference time interval.

Here, in the step of calculating the savings, the power savings may be calculated using (maximum peak power per year × basic charge unit price) + (electric power consumption × power charge unit price per time slot).

Here, in the step of calculating the savings, the power savings may be calculated using the annual maximum peak power value adjusted by the power savings input amount and the power consumption for each time period.

Herein, the calculating of the power saving amount includes, among the daily power consumption, when the daily peak power value is greater than or equal to the difference between the annual maximum peak value and the power saving input amount, the power saving is performed to minimize the daily peak power value. Minimizing the daily peak power value for distributing the input amount; And when the daily peak power value is less than the difference between the annual maximum peak value and the power saving input amount, the power saving input amount to minimize the power consumption used by the target facility during the maximum load time when the power charge unit price per time period is the maximum. It may include a process of minimizing the power consumption of distributing.

Here, in the process of minimizing the daily peak power value, the daily power consumption is sorted in descending order based on the size of the power consumption per reference time interval, and then the power saving input amount is distributed according to the descending order, and the daily peak power You can minimize the value.

Here, in the process of minimizing power consumption, the power saving input amount is equally distributed to the target facility during the maximum load time, thereby minimizing power consumption in the target facility.

Here, in the step of calculating the savings, the DR savings may be calculated using (DR input amount × annual capacity calculation unit price) + (DR input amount × DR coefficient × annual average DR activation time).

An ESS capacity distribution apparatus for a target facility according to an embodiment of the present invention includes: a database unit storing power data on power consumption of the target facility; Among the total capacity of the energy storage system (ESS) applied to the target facility, the amount of DR input participating in the demand response (DR) and power savings to control the power consumption of the target facility by time slot An input amount setting unit for respectively setting an input amount; A savings calculation unit for calculating a corresponding DR savings and power savings by applying the set DR input amount and power saving input amount to the power data; And a maximum value derivation unit for deriving a target DR input amount and a target power saving input amount in which the sum of the power saving amount and the DR saving amount becomes a maximum value from among the set power saving input amount and DR input amount.

In addition, the solution to the above-described problem does not enumerate all the features of the present invention. Various features of the present invention and advantages and effects thereof may be understood in more detail with reference to the following specific embodiments.

According to the ESS capacity distribution method and the ESS capacity distribution device of a target facility according to an embodiment of the present invention, control of the daily peak power value for basic rate reduction and DR input for demand response (DR) Through the control, it is possible to minimize the power bill for the target facility.

According to the ESS capacity distribution method and the ESS capacity distribution device of a target facility according to an embodiment of the present invention, it is possible to distribute the total capacity of the energy storage device into the DR input amount and the power saving input amount at an optimum ratio.

According to an ESS capacity distribution method and an ESS capacity distribution device for a target facility according to an embodiment of the present invention, the optimal ESS charging/discharging schedule for controlling the daily peak power value for basic rate reduction and power usage control for reducing the usage fee Can be calculated.

1 is a block diagram showing a power supply system of a target facility according to an embodiment of the present invention.
2 is a block diagram showing an ESS capacity distribution device according to an embodiment of the present invention.
3 is a graph showing the distribution of the power saving input amount for minimizing the daily peak power value according to an embodiment of the present invention.
4 is a graph showing the distribution of power saving input amount for minimizing power consumption according to an embodiment of the present invention.
5 is a table showing changes in total savings according to the ratio of DR input amount and power saving input amount according to an embodiment of the present invention.
6 is a graph showing changes in total savings according to the ratio of DR input amount and power saving input amount according to an embodiment of the present invention.
7 is a flow chart showing a method of distributing ESS capacity according to an embodiment of the present invention.

Hereinafter, preferred embodiments will be described in detail with reference to the accompanying drawings so that those of ordinary skill in the art may easily implement the present invention. However, in describing a preferred embodiment of the present invention in detail, if it is determined that a detailed description of a related known function or configuration may unnecessarily obscure the subject matter of the present invention, the detailed description thereof will be omitted. In addition, the same reference numerals are used throughout the drawings for parts having similar functions and functions.

In addition, throughout the specification, when a part is said to be'connected' with another part, it is not only'directly connected', but also'indirectly connected' with another element in the middle. Includes. In addition, "including" a certain component means that other components may be further included rather than excluding other components unless specifically stated to the contrary.

1 is a block diagram showing a power supply system for a target facility according to an embodiment of the present invention.

Referring to FIG. 1, a power supply system according to an embodiment of the present invention may include a commercial power source (s), a target facility (1), an energy storage system (E), and an ESS capacity distribution device 100. .

Hereinafter, a power supply system according to an embodiment of the present invention will be described with reference to FIG. 1.

The commercial power source S may be a power supply source provided by a power company that generates power using a power plant or the like. The target facility 1 may receive power from the commercial power source S, and the power company may charge the target facility 1 a power charge corresponding to the amount of power supplied to the target facility 1.

The target facility 1 may be a general building, an apartment, or a facility receiving commercial power (S), such as a factory, and may perform operations such as product production or building maintenance and management using the supplied power. However, since the electric charge may increase in proportion to the amount of electric power used, the target facility 1 may take measures to minimize the electric charge. Specifically, as shown in FIG. 1, by providing an energy storage system (E) or the like, it can be utilized for efficient energy use and power bill reduction.

The energy storage system (E) may include a battery that stores electrical energy and a BMS (Bettery Management System) that controls the operation of the battery. After storing electrical energy in advance, the stored electrical energy is released if necessary. It can perform the function of Here, the battery may be a secondary battery capable of charging and discharging, and may be made of lithium ions and sodium sulfate as main materials.

In general, a power company can set a high power bill unit price during the day when the power usage is high, and set a low power bill unit price at night when the power use is low. Therefore, the target facility (1) including the energy storage system (E) charges the energy storage system (E) using late-night electricity with a low power rate unit price, and commercial power (S) during the day when the power rate unit price is high. Instead, it is possible to reduce the power bill by using the power stored in the energy storage system (E). That is, since the amount of power supplied from the commercial power source S can be reduced by the amount of power supplied by the energy storage system E, it is possible to reduce the power charge by the reduced amount.

However, the electricity rate system imposed by a power company may consist of the sum of the basic rate and the usage fee. That is, in addition to the usage charge corresponding to the power consumption actually used by the target facility 1, a standard charge obtained by multiplying the standard unit price for each type of contract based on the annual maximum peak value may be additionally charged. Accordingly, when the energy storage system E is used only to reduce a usage charge corresponding to the power consumption, it may result in an increase in the power rate due to an increase in the reference rate due to the annual maximum peak value.

In order to prevent this, in addition to the usage charge according to the power consumption, it is necessary to reduce the standard charge according to the annual maximum peak value. That is, it is necessary to simultaneously achieve power consumption control and annual maximum peak value control through appropriate operation control of the energy storage system E.

On the other hand, in recent years, power companies are preparing systems such as Demand Response (DR) in order to manage electricity demand so that it does not exceed supply. That is, when the overall power demand is high, the energy storage system (E) rather supplies power to the commercial power source (S) to compensate for the power company's insufficient power supply, and instead, it is possible to receive compensation for the cost from the power company. Therefore, in addition to the method of reducing the amount of electricity used such as the basic fee and the usage fee by using the energy storage system (E) of the target facility (1), it is also possible to reduce the electricity rate by participating in the demand response and receiving compensation Do.

Conventionally, the energy storage system E was used to reduce the amount of power used by the target facility 1 during the maximum load time when the power rate unit price per hour is the maximum, without consideration of the demand response or the basic rate. However, in the power rate system as described above, it is necessary to reduce the power rate more effectively in consideration of the reduction of the basic rate and the electricity rate reduction by participation in the acceptance reaction.

Since the amount of electric energy stored by the energy storage system E, charge/discharge speed, etc. can be kept constant, the efficiency of power bill reduction according to the method of distributing electric energy stored in the energy storage system E This can be different.

Here, by using the ESS capacity distribution apparatus 100 according to an embodiment of the present invention, it is possible to efficiently operate the energy storage system E to perform optimal ESS capacity distribution.

2 is a block diagram showing an ESS capacity distribution apparatus 100 according to an embodiment of the present invention.

2, the ESS capacity distribution apparatus 100 according to an embodiment of the present invention includes a database unit 10, an input amount setting unit 20, a savings calculation unit 30, and a maximum value derivation unit 40. Can include.

Hereinafter, an ESS capacity distribution device 100 according to an embodiment of the present invention will be described with reference to FIG. 2.

In the database unit 10, power data on power consumption of the target facility 1 may be stored. In order for the ESS capacity distribution device 100 to distribute the total capacity of the energy storage system E, it is necessary to first grasp the overall power usage or power usage pattern used by the target facility 1. Therefore, it is necessary to collect power data including daily power consumption for a certain period of the past (for example, one year) of the target facility 1, and the collected power data is stored in the database unit 10 in advance. You can do it. Here, the data data unit 10 may be provided in RAM, ROM, Flash memory, hard disk, etc. inside the ESS capacity distribution device 100, and is provided outside the ESS capacity distribution device 100 according to an embodiment. , It is also possible to be connected through wired and wireless communication with the ESS capacity distribution device 100.

The daily power consumption stored in the database unit 10 may be a time series by dividing the power consumption used by the target facility 1 for 24 hours by reference time intervals. For example, in the power data for 2013 of the target facility (1), the power data for the daily power consumption recorded for 24 hours in 15-minute increments on January 1, 2013 is the same as the power data for 2013. Each daily power usage recorded from January 1 to December 31, 2013 may be included. Here, the power data may be related to the amount of power used by the target facility 1 in the absence of the energy storage system E.

The input amount setting unit 20 includes, among the total capacity of the energy storage device (ESS) applied to the target facility 1, the amount of DR input participating in the demand response (DR) and the time slot of the target facility 1 The amount of power saving input to control power consumption can be set respectively. As a method of reducing the power charge of the target facility 1, there is a method of reducing the basic rate and usage fee of the target facility 1, or participating in a demand response to compensate for the cost. However, when the DR input amount is set, the DR input amount must be prepared for demand response for a certain period (for example, 1 year), so the capacity corresponding to the DR input amount can no longer be used as a power saving input amount during the period. There will be no. Accordingly, the total capacity of the energy storage device E can be largely divided into a DR input amount and a power saving input amount, and it is necessary to set the respective power saving input amount and the DR input amount in advance.

Here, the input amount setting unit 20 may sequentially change and set the power saving input amount and the DR input amount, and may derive the power saving input amount and the DR input amount representing the optimal results from among the set power saving input amount and DR input amount. For example, out of 100% of the total capacity, the power saving input is initially set to 100% and the DR input is set to 0%, and then the power saving input is sequentially set to 99%, 98%,… , 2%, 1%, 0%, and corresponding DR input amount 1%, 2%,… , 98%, 99%, 100% can be set. That is, by using the power saving input amount and DR input amount sequentially changed by the input amount setting unit 20, each power charge saving amount can be calculated, and using this, the optimal power saving input amount and DR input amount can be determined. .

The savings calculation unit 30 may calculate a corresponding DR saving amount and power saving amount by applying the set DR input amount and power saving input amount to the power data.

Specifically, the power charge of the target facility (1) is {(maximum peak power per year × basic charge unit price) + (electricity use × electric power charge unit price per hour)}-{(DR input × annual capacity calculation unit price) + (DR It can be calculated using the input amount × DR coefficient × annual average DR activation time)}.

Here, (maximum peak power per year × basic charge unit price) is the basic charge, and (electricity use × power charge unit price per hour) is the usage charge. If the power saving input amount is used among the total capacity of the energy storage system E, the "maximum peak power value per year" and "power consumption" can be adjusted. Accordingly, the basic charge and the usage charge can be minimized by adjusting the “maximum annual peak power value” and “power consumption” shown in the power data, and the power saving amount can be calculated accordingly. The savings by adjusting the "maximum peak power per year" are "basic charge savings", and the savings by adjusting the "power usage" is "use savings", so the power savings are "basic charge savings" and "use savings". It can be composed of the sum of.

In order to minimize the basic charge and the usage charge, the amount of power saving input may be applied for each day, and it may be determined whether the amount of the power saving input is used to reduce the basic charge or to reduce the usage charge. That is, the daily peak power value displayed in the power data can be compared with the difference between the maximum annual peak value and the power saving input amount, and according to the comparison result, whether the power saving input amount will be used for basic rate reduction or usage fee reduction. You can decide. Here, the daily power consumption included in the power data is that the power consumption used by the target facility 1 for the past year is collected daily at preset reference time intervals and arranged in a time series order, so the annual maximum peak value and the daily peak The power value can be easily derived.

Specifically, when the daily peak power value is greater than or equal to the difference between the annual maximum peak value and the power saving input amount (daily peak power value ≥ (annual maximum peak value-power saving input amount)), the maximum annual peak value on the relevant date. This can happen. Therefore, by utilizing all of the power saving input amount to reduce the annual maximum peak value, it is possible to minimize the occurrence of basic charges. That is, as shown in FIG. 3A, first, the daily power consumption can be arranged in descending order according to the size of the power consumption for each reference time interval. Thereafter, the maximum value A in which the sum of the areas of the upper region is equal to the power saving input amount is calculated, and the power saving input amount may be distributed so that the size of the power consumption amount for each reference time interval corresponds to the maximum value A. That is, as shown in Fig. 3b, the maximum value A is calculated using the graph arranged in descending order, and then, the power saving input amount for making the maximum value A becomes the daily peak power value by changing it in a time-series order, respectively. Can be distributed.

On the other hand, when the daily peak power value is smaller than the difference between the annual peak power value and the power saving input amount (daily peak power value <(annual maximum peak value-power saving input amount)), the maximum annual peak value occurs on the relevant date. Because it does not, the amount of power saving input can be used to reduce the usage fee. Accordingly, the power saving input amount can be distributed so as to minimize the power consumption used by the target facility during the maximum load time when the power charge unit price per time slot is the maximum. That is, as shown in FIG. 4, the amount of power saving input can be evenly distributed to minimize the power consumption at the maximum load time (B) where the unit price of the power charge per time slot is the maximum.

As described above, after comparing the daily peak power value with the difference between the annual maximum peak value and the power saving input amount, the power saving input amount may be set to correspond to the daily power consumption corresponding to each date included in the power data. In this case, since the "maximum annual peak power value" and "power consumption" of the target facility 1 are adjusted, the basic rate and usage rate for the last year of the target facility 1 can be recalculated. Here, the power saving amount can be calculated by comparing the calculation result with the sum of the basic charge and usage charge for one year of the target facility 1 not using the energy storage device E.

Meanwhile, the savings calculation unit 30 may calculate a DR savings corresponding to the set DR input amount. Here, the DR savings can be calculated using {(DR input amount × annual capacity calculation unit price) + (DR input amount × DR coefficient × annual average DR activation time)}.

(DR input amount × annual capacity calculation unit) may be an amount paid as a compensation for securing power equal to the amount of DR input, regardless of whether the power company used the power of the energy storage system as a DR contract amount. The annual capacity calculation unit price can be set through a contract with a power company.

(DR input amount × DR factor × annual average DR activation time) is the amount of DR calculated, and is the amount that the actual power company receives as compensation according to the amount of power stored in the energy storage system. Here, the average annual DR activation time is the average annual time when the DR input amount is actually supplied to the electric power company, and the DR coefficient may be a value set through a contract with the electric power company.

Additionally, penalties can be further considered in relation to DR savings. In other words, if the target facility (1) contracts to supply the amount of DR input of the energy storage system (E) to the power company, but fails to supply the amount of DR input that has been contracted with the power company to the power company, etc. The penalty can be compensated to the power company. In this case, the amount of DR savings is ((DR input amount × annual capacity settlement unit price) + (DR input amount × DR coefficient × annual average DR activation time)-((annual capacity settlement unit price / annual average DR activation time) × non-fulfillment time × penalty fee) } Can be. Depending on the embodiment, if the non-implementation time is less than 50% of the annual average DR activation time, the entire DR savings may be redeemed.

The maximum value derivation unit 40 may derive a target DR input amount and a target power saving input amount in which the sum of the power saving amount and the DR saving amount becomes a maximum value from among the set power saving input amount and DR input amount.

As described above, the savings calculation unit 30 may calculate the corresponding DR savings and power savings, respectively, according to the respective DR input amount and the power saving input amount set by the input amount setting unit 20. In this case, the maximum value derivation unit 40 may calculate the sum of each DR saving amount and power saving amount, and derive the DR input amount and power saving input amount having the maximum value among the sums, and the derived DR input amount and The power saving input amount may be set as the target DR input amount and the target power saving input amount.

That is, as shown in FIG. 5, when the respective power saving input amount and DR input amount are set, the corresponding basic fee saving amount, usage saving amount, DR down payment and DR settlement amount may be derived. Here, as the sum of the basic fee savings, usage savings, DR down payment, and DR settlement is larger, the power charge to be paid by the target facility 1 decreases. Accordingly, it is possible to determine the amount of DR input and the amount of power saving that the sum becomes the maximum value.

Here, Figure 5 can also be represented by the same graph as Figure 6, referring to Figure 6, when the total capacity of the energy storage system (E) is 500 kWh, when the power saving input amount is set to 260 kWh, DR input amount is set to 240 kWh, It is possible to reduce the power bill of the target facility 1 the most. Accordingly, it can be set to distribute the total capacity of the energy storage system E according to the derived target DR input amount and target power saving input amount. That is, a contract for demand response with a power company is signed with the target DR input amount, and the power consumption of the target facility 1 can be reduced by using the target power saving input amount.

7 is a flowchart illustrating a method of distributing ESS capacity according to an embodiment of the present invention.

Referring to FIG. 7, the ESS capacity distribution method according to an embodiment of the present invention includes a data receiving step (S100), an input amount setting step (S200), a savings calculation step (S300), and a maximum value deriving step (S400). can do.

Hereinafter, a method of distributing ESS capacity according to an embodiment of the present invention will be described with reference to FIG. 7.

In the data receiving step (S100), the ESS capacity distribution device may receive power data on power usage from a target facility. In order to distribute the total capacity of the energy storage system using the ESS capacity distribution device, it is first necessary to grasp the overall power consumption or power use pattern of the target facility. Therefore, it is necessary to collect power data including daily power consumption for a certain period (eg, 1 year) in the past of the target facility. The daily power consumption may be displayed in a time series by dividing the power consumption used by the target facility for 24 hours by a reference time interval. Depending on the embodiment, the ESS capacity distribution device has a measurement unit that measures power consumption for a target facility, and measures power data on the power consumption of the target facility using a direct measurement unit, or from a target facility or a separate measurement device. The measured measurement results can be transmitted through wired or wireless communication.

In the input amount setting step (S200), among the total capacity of the energy storage device applied to the target facility, the DR input amount participating in the demand response and the power saving input amount for controlling the power consumption for each time slot of the target facility may be set, respectively. have.

In order to reduce the power bill of the target facility, the basic rate and usage fee of the target facility may be reduced, or the cost may be compensated by participating in a demand response. However, when the DR input amount is set, the DR input amount must be prepared for demand response for a certain period (for example, 1 year), so the capacity corresponding to the DR input amount can no longer be used as a power saving input amount during the period. There will be no. Accordingly, the total capacity of the energy storage device can be largely divided into DR input amount and power saving input amount, and it is necessary to set each power saving input amount and DR input amount in advance.

Here, in the step of setting the input amount (S200), the ratio of the DR input amount and the power saving input amount, respectively, of the total capacity of the energy storage device is sequentially changed, and the DR input amount and the power saving input amount may be set. For example, out of 100% of the total capacity, the power saving input is initially set to 100% and the DR input is set to 0%, and then the power saving input is sequentially set to 99%, 98%,… , 2%, 1%, 0%, and corresponding DR input amount 1%, 2%,… , 98%, 99%, 100% can be set.

In the savings calculation step (S300), the ESS capacity distribution device applies the set DR input amount and power saving input amount to the power data to calculate the corresponding DR saving amount and power saving amount.

Here, the power saving amount can be calculated using (maximum peak power per year × basic charge unit price) + (electric power consumption × power charge unit price per time slot). That is, by using the power saving input amount, it is possible to adjust the "maximum annual peak power value" and "power consumption by time slot", so the power by comparing before and after the adjustment of the "maximum peak power per year" and "power consumption by time slot" You can calculate the savings.

Specifically, the savings calculation step S300 may further include a process of minimizing a daily peak power value and a process of minimizing power consumption in order to calculate the power savings.

First, the process of minimizing the daily peak power value includes, among the daily power consumption, when the daily peak power value is greater than or equal to the difference between the annual maximum peak value and the power saving input amount, the power saving is performed to minimize the daily peak power value. The input can be distributed. Specifically, the daily peak power value can be minimized by arranging the daily power consumption in descending order based on the size of the power consumption by reference time interval, and then distributing the power saving input amount according to the descending order. have.

On the other hand, in the power consumption minimization process, when the daily peak power value is less than the difference between the annual maximum peak value and the power saving input amount, the power consumption used by the target facility during the maximum load time when the power rate unit price per hour is the maximum. Power saving inputs can be distributed to minimize. That is, in the process of minimizing power consumption, the amount of power saving input to the target facility is evenly distributed during the maximum load time, thereby minimizing the power consumption at the target facility.

Meanwhile, the savings calculation step (S300) may calculate the DR savings using (DR input amount × annual capacity calculation unit price) + (DR input amount × DR coefficient × annual average DR activation time).

Here, (DR input amount × annual capacity calculation unit) may be an amount paid by the power company as compensation for securing power equal to the DR input amount, regardless of whether the power company used the power of the energy storage system as a DR down payment. . The annual capacity calculation unit price can be set through a contract with the power company.

In addition, (DR input amount × DR factor × annual average DR activation time) is the amount of DR calculated, and is the amount paid by the actual power company as compensation according to the amount of power stored in the energy storage system. Here, the average annual DR activation time is the average annual time when the DR input amount is actually supplied to the electric power company, and the DR coefficient may be a value set through a contract with the electric power company.

Additionally, penalties can be further considered in relation to DR savings. In other words, if the target facility (1) contracts to supply the amount of DR input of the energy storage system (E) to the power company, but fails to supply the amount of DR input that has been contracted with the power company to the power company, etc. The penalty can be compensated to the power company. In this case, the amount of DR savings is ((DR input amount × annual capacity settlement unit price) + (DR input amount × DR coefficient × annual average DR activation time)-((annual capacity settlement unit price / annual average DR activation time) × non-fulfillment time × penalty fee) } Can be. Depending on the embodiment, if the non-implementation time is less than 50% of the annual average DR activation time, the entire DR savings may be redeemed.

In the maximum value derivation step (S400), the input amount setting step and the saving amount calculation step are repeated, and the ESS capacity distribution device derives the target DR input amount and the target power saving amount that the sum of the power saving amount and the DR saving amount becomes the maximum value. can do.

As described above, the corresponding DR saving amount and power saving amount may be calculated according to the set respective DR input amount and power saving input amount. In this case, in the maximum value derivation step (S400), the sum of the respective DR saving amount and the power saving amount may be calculated, and the DR input amount and the power saving input amount having the maximum value among the sums may be derived. The derived DR input amount and power saving input amount are set as the target DR input amount and the target power saving input amount, and can be applied to the capacity distribution of the energy storage device afterwards.

The present invention is not limited by the above-described embodiments and the accompanying drawings. It will be apparent to those of ordinary skill in the art to which the present invention pertains, that components according to the present invention can be substituted, modified, and changed within the scope of the technical spirit of the present invention.

10: database unit 20: input amount setting unit
30: savings calculation unit 40: maximum value derivation unit
100: ESS capacity distribution device
S100: Data receiving step S200: Input amount setting step
S300: Savings calculation step S400: Maximum derivation step

Claims (11)

A data receiving step of receiving, by an ESS (Energy Storage System) capacity distribution device, power data on power usage from a target facility;
Among the total capacity of the ESS (Energy Storage System) applied to the target facility, the ESS capacity distribution device includes the amount of DR input participating in the Demand Response (DR) supplying power to the commercial power source, and the An input amount setting step of respectively setting an amount of power saving input for adjusting the amount of power used for each time slot of the target facility;
A savings calculation step of calculating a corresponding DR saving amount and power saving amount by applying the set DR input amount and power saving input amount to the power data, by the ESS capacity distribution device; And
A target including a step of deriving a maximum value for deriving a target DR input amount and a target power saving input amount in which the sum of the power saving amount and the DR saving amount becomes the maximum value by repeating the input amount setting step and the saving amount calculation step. How to distribute the ESS capacity of the facility. The method of claim 1, wherein the step of setting the input amount
An ESS capacity distribution method of a target facility in which the DR input amount and the power saving input amount are set by sequentially varying the ratio of each of the DR input amount and the power saving input amount among the total capacity of the energy storage device.
The method of claim 1, wherein the data receiving step
A method of distributing ESS capacity of a target facility for receiving power data including daily power consumption for the past one year of the target facility.
The method of claim 3, wherein the daily power consumption is
The ESS capacity distribution method of the target facility, wherein the power consumption used by the target facility for 24 hours is separated by reference time intervals and displayed in a time series.
The method of claim 3, wherein the step of calculating the savings
ESS capacity distribution method of the target facility that calculates the above power savings using (maximum peak power per year × basic charge unit price) + (electric power consumption × power charge unit price per time).
The method of claim 5, wherein the step of calculating the savings amount
An ESS capacity distribution method of a target facility for calculating a power saving amount by using the annual maximum peak power value adjusted by the power saving input amount and the power consumption for each time period.
The method of claim 5, wherein the step of calculating the savings amount
If the daily peak power value is greater than or equal to the difference between the maximum annual peak value and the power saving input amount among the daily power consumption, the daily peak power value minimization process of distributing the power saving input amount to minimize the daily peak power value. ; And
When the daily peak power value is less than the difference between the annual maximum peak value and the power saving input amount, the power saving input amount is adjusted to minimize the power consumption used by the target facility during the maximum load time when the power charge unit price per time period is the maximum. A method of distributing the ESS capacity of the target facility, including the process of minimizing the amount of electricity used to be distributed.
The method of claim 7, wherein the daily peak power minimization process is
ESS capacity distribution of target facilities to minimize the daily peak power value by sorting the daily power consumption in descending order based on the size of the power consumption by reference time interval, and then distributing the power saving input amount according to the descending order. Way.
The method of claim 7, wherein the power consumption minimization process is
An ESS capacity distribution method of a target facility for minimizing power consumption in the target facility by equally distributing the power saving input amount to the target facility during the maximum load time.
The method of claim 3, wherein the step of calculating the savings
(DR input amount × annual capacity calculation unit price) + (DR input amount × DR coefficient × annual average DR activation time) ESS capacity distribution method of the target facility to calculate the amount of DR savings.
A database unit in which power data on power consumption of the target facility is stored;
Among the total capacity of the energy storage system (ESS) applied to the target facility, the amount of DR input participating in the Demand Response (DR) supplying power to the commercial power source, and the power by time of the target facility An input amount setting unit for respectively setting a power saving input amount for adjusting the amount of use;
A savings calculation unit that applies the set DR input amount and power saving input amount to the power data and calculates a corresponding DR saving amount and power saving amount; And
ESS capacity distribution device of a target facility including a maximum value derivation unit for deriving a target DR input amount and a target power saving input amount in which the sum of the power saving amount and the DR saving amount becomes the maximum value among the set power saving input amount and DR input amount .

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