시각동기 위상측정데이터를 이용한 FACTS 동적 모델 제정수 추정에 관한 연구

다국어 초록 (Multilingual Abstract)

FACTS is an important facility for stable power system operation by controlling the voltage of the power system. Recently, large-scale FACTS are in operation to increase the reliability of power supply, and system analysis is performed with the UWM model related to this. Although it is most accurate to perform with UWM model with high precision of analysis results, it is a good way to use a general model that can be quickly simulated for power system planning, etc. When the UWM model does not exist, general dynamic models were used for considering the dynamic characteristics of FACTS. If it is possible to estimate the parameters for the dynamic model through measurement data, the parameters in this model are considered to be more realistically applicable than before. Therefore, we developed an algorithm that estimates the parameters of FACTS using PMU data and verified the validity of the algorithm by internally verifying it through PSS/E and EMT simulations.

목차 (Table of Contents)

• Abstract
• 1. 서론
• 2. 본론
• 3. 결론
• References