Power System Modeling

Sparse Tableau Formulation

Develop an alternative grid modeling tool based on Sparse Tableau Formulation (STF) from the circuit theory for the power flow studies, which is more flexible and computationally efficient as well
The conceptual benefit of STF lies in its clear delineation of constraints associated with constitutive behavior of individual network elements
The computational benefit of STF is that it shows comparable computational time with better conditioning and more reliable convergence

Sparse Tableau Formulation을 기반으로 한 새로운 전력시스템 모델링 방법 - 더 유연하고 계산적으로도 효율적인 전력시스템 모델링 방법

Investigate the dynamic modeling of synchronous generators and relevant control devices including the static load and dynamic loads
Investigate the dynamic modeling of new power electronic-based control devices such as inverters in the power grid perspective
Investigate the modeling and analysis of high-voltage DC (HVDC) system

전력시스템의 과도 안정성을 분석하고 효율적인 운영 및 제어 등을 위한 복잡한 전력시스템 dynamic 모델링에 관한 연구 및 분석

Develop a modeling approach for the unbalanced three-phase active distribution network
Utilize a developed modeling for several applications such as distribution state estimation and distribution market

3상 불균형의 특성을 지닌 복잡한 능동 배전망 모델링 방법 - 배전계통 상태추정, 배전계통 전력시장 등의 다양한 분야에 응용될 수 있음

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Investigate the graph/network theory and applies those to the power system network. For example, the structure of the power system network can be explored with Laplacian matrices
Novel graph/network theory and relevant techniques can facilitate several important power system applications such as the transmission expansion and optimal network topology

다양한 graph/network theories에 기반한 기술을 활용하여 전력시스템 확장, 최적의 전력시스템 토폴로지등과 같은 분야에 활용