EP-4742481-A1 - DEVICE FOR CONTROLLING ENERGY STORAGE SYSTEM AND METHOD FOR CONTROLLING ENERGY STORAGE SYSTEM

EP4742481A1EP 4742481 A1EP4742481 A1EP 4742481A1EP-4742481-A1

Abstract

An energy storage system control device may include a communication unit to receive an external power generation amount and an internal power consumption amount, a user interface unit to receive a cost function selection command from a user, a controller to determine an objective function based on a cost function selected by the user and perform battery control optimization based on the external power generation amount, the internal power consumption amount, and the objective function, wherein the controller is to perform the battery control optimization based on a first time point, determine a predicted value of battery charging/discharging power based on the battery control optimization performed at the first time point, and determine a predicted section including the predicted value of the battery charging/discharging power and re-perform the battery control optimization based on an actual value of the battery charging/discharging power being out of a range of the predicted section.

Inventors

CHOI, YO HWAN

Assignees

LG Energy Solution, Ltd.

Dates

Publication Date: 20260513
Application Date: 20240812

Claims (20)

An energy storage system control device comprising: a communication unit configured to receive an external power generation amount and an internal power consumption amount; a user interface unit configured to receive a cost function selection command from a user; a controller configured to determine an objective function based on a cost function selected by the user and perform battery control optimization based on the external power generation amount, the internal power consumption amount, and the objective function, wherein the controller is configured to: perform the battery control optimization based on a first time point; determine a predicted value of battery charging/discharging power based on the battery control optimization performed at the first time point; and determine a predicted section including the predicted value of the battery charging/discharging power and re-perform the battery control optimization based on an actual value of the battery charging/discharging power being out of a range of the predicted section.
The energy storage system control device of claim 1, wherein the controller adjusts a variable for the battery control optimization based on the actual value of the battery charging/discharging power being out of the range of the predicted section.
The energy storage system control device of claim 2, wherein the controller re-performs the battery control optimization based on the variable adjusted for the battery control optimization.
The energy storage system control device of claim 1, wherein the controller receives a weight for determining a priority of the cost function through the user interface unit from the user and determines the objective function using a weighted sum of the weight and the cost function.
The energy storage system control device of claim 4, wherein the user interface unit further includes an input unit, and the input unit is configured as a user interface (UI) in which a ratio of the weight is adjusted based on the user's input.
The energy storage system control device of claim 4, wherein the controller recommends the weight to the user based on the weight being not input for a preset time from the user.
The energy storage system control device of claim 6, wherein the controller generates combinations to be generated based on the number of cost functions and section information of the weight and recommends a combination with the lowest power purchase cost among the combinations to the user.
The energy storage system control device of claim 1, wherein the cost function includes a function that minimizes a difference between a backup state of charge (SOC) used in a home energy storage system and the user's required SOC.
The energy storage system control device of claim 1, wherein the cost function includes a function that minimizes a difference between a current indoor temperature used in a home energy storage system and the user's required temperature.
The energy storage system control device of claim 1, wherein the controller modifies a charging/discharging schedule based on the re-performed battery control optimization and performs charging/discharging based on the modified charging/discharging schedule.
A method of controlling an energy storage system, comprising: receiving an external power generation amount and an internal power consumption amount; receiving a cost function selection command from a user; determining an objective function based on a cost function selected by the user; and performing battery control optimization based on the external power generation amount, the internal power consumption amount, and the objective function, wherein the performing of the battery control optimization includes: performing the battery control optimization based on a first time point; determining a predicted value of battery charging/discharging power based on the battery control optimization performed at the first time point; determining a predicted section including the predicted value of the battery charging/discharging power; and re-performing the battery control optimization based on an actual value of the battery charging/discharging power being out of a range of the predicted section.
The method of claim 11, further comprising adjusting a variable for the battery control optimization based on the actual value of the battery charging/discharging power being out of the range of the predicted section.
The method of claim 12, further comprising re-performing the battery control optimization based on the variable adjusted for the battery control optimization.
The method of claim 11, wherein the determining of the objective function includes receiving a weight for determining a priority of the cost function through the user interface unit from the user and determining the objective function using a weighted sum of the weight and the cost function.
The method of claim 14, further comprising adjusting a ratio of the weight based on the user's input that is input to an input unit included in the user interface unit.
The method of claim 14, further comprising recommending the weight to the user based on the weight being not input for a preset time from the user.
The method of claim 16, wherein the recommending of the weight to the user includes generating combinations to be generated based on the number of cost functions and section information of the weight and recommending a combination with the lowest power purchase cost among the combinations to the user.
The method of claim 11, wherein the cost function includes a function that minimizes a difference between a backup state of charge (SOC) used in a home energy storage system and the user's required SOC.
The method of claim 11, wherein the cost function includes a function that minimizes a difference between a current indoor temperature used in a home energy storage system and the user's required temperature.
The method of claim 11, further comprising modifying a charging/discharging schedule based on the re-performed battery control optimization and performing charging/discharging based on the modified charging/discharging schedule.

Description

TECHNICAL FIELD CROSS-REFERENCE TO RELATED APPLICATION This application claims priority to and the benefit of Korean Patent Application No. 10-2023-0110622 filed in the Korean Intellectual Property Office on August 23, 2023, the entire contents of which are incorporated herein by reference. TECHNICAL FIELD Embodiments disclosed herein relate to an apparatus for controlling an energy storage system and a method of controlling the energy storage system. BACKGROUND ART An energy storage system (ESS) is a device for increasing the efficiency of power use by storing generated electricity in a storage device such as a battery and supplying the same when power is needed. The ESS may store electricity generated by renewable energy such as solar and wind power or electricity received from a power plant in a battery, store power at night when power consumption is low, and use the stored power during the day when power consumption is high. To effectively distribute the power use of the ESS, efficient scheduling of charging and discharging is required, and in the past, there was a limitation that errors occurred because the uncertainty in the prediction of renewable energy generation and power consumption was not considered. DISCLOSURE TECHNICAL PROBLEM One embodiment disclosed herein provides an apparatus for controlling an energy storage system and a method of controlling the energy storage system, which consider the uncertainty in the prediction of renewable energy generation and power consumption to increase the efficiency of the energy storage system. The technical objects of the embodiments disclosed herein are not limited to the above-described technical objects, and other objects that are not described will be able to be clearly understood by those skilled in the art from the following descriptions. TECHNICAL SOLUTION An energy storage system control device according to one embodiment includes a communication unit configured to receive an external power generation amount and an internal power consumption amount, a user interface unit configured to receive a cost function selection command from a user, a controller configured to determine an objective function based on a cost function selected by the user and perform battery control optimization based on the external power generation amount, the internal power consumption amount, and the objective function, wherein the controller is configured to perform the battery control optimization based on a first time point, determine a predicted value of battery charging/discharging power based on the battery control optimization performed at the first time point, and determine a predicted section including the predicted value of the battery charging/discharging power and re-perform the battery control optimization based on an actual value of the battery charging/discharging power being out of a range of the predicted section. The controller may adjust a variable for the battery control optimization based on the actual value of the battery charging/discharging power being out of the range of the predicted section. The controller may re-perform the battery control optimization based on the variable adjusted for the battery control optimization. The controller may receive a weight for determining a priority of the cost function through the user interface unit from the user and determine the objective function using a weighted sum of the weight and the cost function. The user interface unit may further include an input unit, and the input unit may be configured as a user interface (UI) in which a ratio of the weight is adjusted based on the user's input. The controller may recommend the weight to the user based on the weight being not input for a preset time from the user. The controller may generate combinations to be generated based on the number of cost functions and section information of the weight and recommend a combination with the lowest power purchase cost among the combinations to the user. The cost function may include a function that minimizes a difference between a backup state of charge (SOC) used in a home energy storage system and the user's required SOC. The cost function may include a function that minimizes a difference between a current indoor temperature used in a home energy storage system and the user's required temperature. The controller may modify a charging/discharging schedule based on the re-performed battery control optimization and perform charging/discharging based on the modified charging/discharging schedule. A method of controlling an energy storage system according to one embodiment includes receiving an external power generation amount and an internal power consumption amount, receiving a cost function selection command from a user, determining an objective function based on a cost function selected by the user, and performing battery control optimization based on the external power generation amount, the internal power consumption amou