KR-20260066332-A - SYSTEM FOR GENERATING DIGITAL TWIN MODEL TO CONTROL RENEWABLE ENERGY SOURCE POWER PLANTS

Abstract

A digital twin model generation system for controlling a renewable energy source power generation complex is disclosed. A digital twin model generation system for controlling a renewable energy source power generation complex according to one embodiment of the present invention may include a receiving unit for receiving previously stored data and real-time data; a preprocessing unit for performing preprocessing on the previously stored data and the real-time data; a first computation unit for calculating power data using the preprocessed data, wherein the power data calculated using the previously stored data is transmitted to a first equivalent model and the power data calculated using the real-time data is transmitted to a second equivalent model; a second computation unit for performing parameter updates for each of the first equivalent model and the second equivalent model; and an information providing unit for providing the parameters updated through the second computation unit to a third equivalent model corresponding to the digital twin model.

Inventors

• 이범주

Assignees

• 에이치디현대일렉트릭 주식회사

Dates

Publication Date

20260512

Application Date

20241104

Claims (6)

1. In a digital twin model generation system for controlling renewable energy power generation complexes, A receiver that receives stored data and real-time data; A preprocessing unit that performs preprocessing on the above-mentioned stored data and the above-mentioned real-time data; A first operation unit that calculates power data using each of the above-mentioned preprocessed data, transmits the power data calculated using the above-mentioned stored data to a first equivalent model, and transmits the power data calculated using the above-mentioned real-time data to a second equivalent model; A second operation unit that performs parameter updates for each of the first equivalent model and the second equivalent model; and A digital twin model generation system comprising an information providing unit that provides parameters updated through the second operation unit to a third equivalent model corresponding to the digital twin model.
2. In paragraph 1, A digital twin model generation system characterized by further including a memory unit that stores the preprocessed data and the power data calculated by the first operation unit only when the preprocessed data and the power data calculated by the first operation unit change the parameters of the first equivalent model or the second equivalent model.
3. In paragraph 1, The above preprocessing unit is, A digital twin model generation system characterized by determining whether there are abnormalities in the previously stored data and the real-time data received by the receiver, removing data determined to be an abnormal value, and then performing data interpolation.
4. In paragraph 1, The above second operation unit is, The first operation unit calculates power data calculated using the previously stored data and calculates a first residual vector for the power data output by the first equivalent model, and updates the parameters of the first equivalent model, and A digital twin model generation system characterized by the first operation unit calculating power data using the real-time data and calculating a second residual vector for the power data output by the second equivalent model to update the parameters of the second equivalent model.
5. In paragraph 4, The above second operation unit is, A digital twin model generation system characterized by performing parameter updates of the first equivalent model and the second equivalent model using an objective function that minimizes the first residual vector and the second residual vector, and utilizing a derivative-based algorithm.
6. In paragraph 1, The above second operation unit is, If the difference between the parameters of the first updated equivalent model and the parameters of the second updated equivalent model exceeds a preset reference value, A digital twin model generation system characterized by calculating the arithmetic mean of parameters that exceed the above-mentioned reference value.

Description

System for Generating a Digital Twin Model to Control Renewable Energy Source Power Plants The present invention relates to a digital twin model generation system for controlling a renewable energy power generation complex. More specifically, the present invention relates to a digital twin model generation system that considers both stored data and real-time data to optimize for the connected grid, thereby enabling a user to efficiently operate a renewable energy power generation complex. As part of efforts to address environmental issues such as climate change, the use of various renewable energy sources, including solar, hydroelectric, and wind power, is increasing globally. Similarly, in Korea, renewable energy sources account for the majority of domestic distributed resources and are expected to have a greater impact on the power grid in the future. A digital twin is a virtual model of a real system that, when combined with internet technology, enables real-time data analysis and simulation of the actual system. This allows users to optimize the performance and perform maintenance on physical assets, such as various systems. As renewable energy power plants exhibit greater variability compared to conventional synchronous generators and their share in the power grid continues to grow, the need for digital twin systems for these plants is increasing. In this context, to ensure that the digital twin model accurately simulates active and/or reactive power outputs in response to external conditions (voltage, frequency, current, etc.) just like an actual power plant, it is necessary to update (tune) the model using data from various real-world external scenarios. When updating a digital twin model, if only existing data is used, overfitting may occur due to a lack of data, and since the changing external conditions of the connection system are not taken into account, there is a need for a system that can update the digital twin model to enable optimization according to changing external conditions. FIG. 1 is a diagram illustrating the configuration of a digital twin model generation system for controlling a renewable energy source power generation complex according to one embodiment of the present invention. FIG. 2 is a diagram illustrating the operation of a digital twin model generation system according to an embodiment of the present invention. FIG. 3 is a flowchart illustrating the operation of a first computation unit processing stored data within a digital twin model generation system according to an embodiment of the present invention. FIG. 4 is a flowchart illustrating the operation of a first computation unit processing real-time data within a digital twin model generation system according to an embodiment of the present invention. FIG. 5 is a flowchart illustrating the operation of a second operation unit in a digital twin model generation system according to an embodiment of the present invention. Hereinafter, embodiments of the present invention are described in detail with reference to the attached drawings so that those skilled in the art can easily implement the invention. However, the present invention may be embodied in various different forms and is not limited to the embodiments described herein. In describing the embodiments of the present invention, if it is determined that a detailed description of known configurations or functions may obscure the essence of the invention, such detailed description is omitted. Additionally, parts of the drawings unrelated to the description of the invention have been omitted, and similar parts are denoted by similar reference numerals. In the present invention, when it is stated that a component is "connected," "combined," or "joined" with another component, this may include not only a direct connection but also an indirect connection in which another component exists in between. Furthermore, when it is stated that a component "includes" or "has" another component, this means that, unless specifically stated otherwise, it does not exclude the other component but may include an additional component. In the present invention, terms such as first, second, etc. are used solely for the purpose of distinguishing one component from another component and do not limit the order or importance of the components unless specifically stated otherwise. Accordingly, within the scope of the present invention, a first component in one embodiment may be referred to as a second component in another embodiment, and likewise, a second component in one embodiment may be referred to as a first component in another embodiment. In the present invention, distinct components are intended to clearly explain their respective features and do not necessarily imply that the components are separated. That is, multiple components may be integrated to form a single hardware or software unit, or a single component may be distributed to form multiple hardware or software units. Therefore, su