# US 12,191,659 B2 · Method for controlling energy storage system and devices performing method

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- Number: US 12,191,659 B2
- Document ID: US12191659B2
- Status: Granted
- Kind: B2
- Application number: 17/713,088
- Filed: 2022-04-04
- Published: 2022-11-10
- Granted: 2025-01-07
- Earliest claimed: 2021-05-10
- Assignees: Electronics and Telecommunications Research Institute
- Applicants: Electronics and Telecommunications Research Institute
- Inventors: Cheol-Ho Shin
- Web page: https://patentgrep.com/patent/US12191659B2

## CPC

- H02J 3/32: using batteries or super capacitors with converting means
- H02J 13/1331: {using wireless data transmission}
- G06Q 10/063: Operations research, analysis or management
- G06Q 30/0201: Market modelling; Market analysis; Collecting market data
- G06Q 50/06: Energy or water supply
- H02J 3/381: {Dispersed generators}
- H02J 7/35: with light sensitive cells
- H02J 13/12: Monitoring network conditions, e.g. electrical magnitudes or operational status
- H02J 3/003: {Load forecast, e.g. methods or systems for forecasting future load demand}
- H02J 3/004: {Generation forecast, e.g. methods or systems for forecasting future energy generation}
- H02J 2101/24: Photovoltaics
- H02J 2105/10: Local stationary networks having a local or delimited stationary reach
- H02J 2105/12: supplying households or buildings
- H02J 2105/52: for limitation of the power consumption in the networks or in one section of the networks, e.g. load shedding or peak shaving
- H02J: ELECTRIC POWER NETWORKS; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR

## Abstract

A method for controlling an energy storage system (ESS) and devices performing the method are disclosed. A method for controlling an ESS according to example embodiments, the method includes an operation of analyzing energy information of an area for which a peak power load is to be calculated received from a plurality of clients included in the area, an operation of generating, based on an analysis result, scheduling control information for controlling the ESS connected to the plurality of clients on a daily basis, an operation of determining, based on the scheduling control information, whether to generate real-time control information for controlling the ESS on a basis of a predetermined control time period, and an operation of correcting, based on the real-time control information, the scheduling control information.

## Claims

### Claim 1

A method for controlling an energy storage system (ESS), the method comprising:
an operation of analyzing energy information of an area for which a peak power load is to be calculated received from a plurality of clients included in the area;
an operation of generating, based on an analysis result, scheduling control information for controlling the ESS connected to the plurality of clients on a daily basis, the operation of generating the scheduling control information comprising an operation of generating, based on a threshold value at which a power conversion system (PCS) included in the ESS is capable of converting power and an energy consumption pattern in the area included in the analysis result, the scheduling control information for controlling charging and discharging of the ESS;
an operation of determining, based on the scheduling control information, whether to generate real-time control information for controlling the ESS on a basis of a predetermined control time period;
an operation of correcting, based on the real-time control information, the scheduling control information; and
an operation of controlling the ESS based on the scheduling control information,
wherein the peak power load is an amount of peak power supplied to the area by a power backbone network that supplies power to the area, and
the energy information includes energy consumption information, energy generation information, and energy storage information generated by the ESS.

### Claim 2 (depends on 1)

The method of claim 1, wherein the area is determined by a point of intersection of a distribution network included in the area and the power backbone network.

### Claim 3 (depends on 1)

The method of claim 1, further comprising:
an operation of reducing the peak power load by controlling, based on the scheduling control information, the ESS so that the ESS is discharged in a time zone with a large amount of energy consumed in the area, and is charged in a time zone with a small amount of energy consumed in the area.

### Claim 4 (depends on 1)

The method of claim 1, wherein the operation of determining comprises:
an operation of predicting an amount of energy to be consumed and an amount of energy be generated in the area after the control time period; and
an operation of determining, based on the scheduling control information, the predicted amount of energy to be consumed, and the predicted amount of energy to be generated, whether to generate the real-time control information for controlling charging and discharging of the ESS.

### Claim 5 (depends on 1)

The method of claim 1, wherein the operation of correcting comprises an operation of correcting the scheduling control information so as to prevent reverse transmission of power from the area to the power backbone network by controlling, based on the corrected scheduling control information, the ESS.

### Claim 6 (depends on 1)

The method of claim 1, wherein the operation of correcting comprises an operation of correcting the scheduling control information so that the peak power load does not have a value greater than a preset value by controlling, based on the corrected scheduling control information, the ESS.

### Claim 7 (depends on 1)

The method of claim 1, comprising:
an operation of distributing the corrected scheduling control information to the plurality of clients.

### Claim 8 (depends on 1)

The method of claim 1, comprising:
an operation of settling, based on the energy information to which the corrected scheduling control information is reflected, a cost of power generated in the area with the plurality of clients.

### Claim 9 (depends on 1)

A non-transitory computer-readable medium storing computer-readable instruction that, when executed by a processor, cause the processor to perform the method of claim 1.

### Claim 10

A server device comprising:
a memory including instructions; and
a processor electrically connected to the memory, the processor configured to execute the instructions,
wherein, when the instructions are executed by the processor, the processor is configured to:
analyze energy information of an area for which a peak power load is to be calculated received from a plurality of clients included in the area;
generate, based on an analysis result, scheduling control information for controlling an energy storage system (ESS) connected to the plurality of clients on a daily basis;
generate, based on a threshold value at which a power conversion system (PCS) included in the ESS is capable of converting power and an energy consumption pattern in the area included in the analysis result, the scheduling control information for controlling charging and discharging of the ESS;
determine, based on the scheduling control information, whether to generate real time control information for controlling the ESS on a basis of a predetermined control time period;
correct, based on the real-time control information, the scheduling control information; and control the ESS based on the scheduling control information,
wherein the peak power load is an amount of peak power supplied to the area by a power backbone network that supplies power to the area, and
wherein the energy information includes energy consumption information, energy generation information, and energy storage information generated by the ESS.

### Claim 11 (depends on 10)

The server device of claim 10, wherein the area is determined by a point of intersection of a distribution network included in the area and the power backbone network.

### Claim 12 (depends on 10)

The server device of claim 10, wherein the processor is configured to reduce the peak power load by controlling, based on the scheduling control information, the ESS so that the ESS is discharged in a time zone with a large amount of energy consumed in the area, and is charged in a time zone with a small amount of energy consumed in the area.

### Claim 13 (depends on 10)

The server device of claim 10, wherein the processor is configured to:
predict an amount of energy to be consumed and an amount of energy be generated in the area after the control time period; and
determine, based on the scheduling control information, the predicted amount of energy to be consumed, and the predicted amount of energy to be generated, whether to generate the real-time control information for controlling charging and discharging of the ESS.

### Claim 14 (depends on 10)

The server device of claim 10, wherein the processor is configured to correct the scheduling control information so as to prevent reverse transmission of power from the area to the power backbone network by controlling, based on the corrected scheduling control information, the ESS.

### Claim 15 (depends on 10)

The server device of claim 10, wherein the processor is configured to correct the scheduling control information so that the peak power load does not have a value greater than a preset value by controlling, based on the corrected scheduling control information, the ESS.

### Claim 16 (depends on 10)

The server device of claim 10, wherein the processor is configured to distribute the corrected scheduling control information to the plurality of clients.

### Claim 17 (depends on 10)

The server device of claim 10, wherein the processor is configured to settle, based on the energy information to which the corrected scheduling control information is reflected, a cost of power generated in the area with the plurality of clients.
