Jae-Kyeong Kim

dblp:79/10977 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2023
0000-0001-9486-2434ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Energy systems and smart grids · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Energy systems and smart grids › power system analysis
power system dynamics
0.712023
Dynamic Performance Modeling and Analysis of Power Grids With High Levels of Stochastic and Power Electronic Interfaced Resources · Proc. IEEE 2023
Energy systems and smart grids
power system stability
0.712023
Dynamic Performance Modeling and Analysis of Power Grids With High Levels of Stochastic and Power Electronic Interfaced Resources · Proc. IEEE 2023
Energy systems and smart grids › renewable energy
renewable energy integration
0.712023
Dynamic Performance Modeling and Analysis of Power Grids With High Levels of Stochastic and Power Electronic Interfaced Resources · Proc. IEEE 2023

Methods — techniques the papers use, named apart from their topics

electromagnetic transient simulation · 0.7
YearPublicationVenuePosition
2023 Dynamic Performance Modeling and Analysis of Power Grids With High Levels of Stochastic and Power Electronic Interfaced Resources
abstract
This article examines the emerging challenges in modeling and analyzing the electric power system due to the widespread growth of variable renewable energy (VRE), particularly in the form of distributed energy resources (DERs), which are displacing traditional large power plants. Many of these resources are connected to the system through power electronic interfaces, also known as inverter-based resources (IBRs), which are reshaping the system dynamics and lowering the grid strength and inertia. Understanding the dynamic behavior of the power system should be critical to addressing the potential stability concerns, refining the grid requirements, and developing effective and reliable measures among many alternatives. However, conventional methodologies for resource integration and network expansion studies, as well as application-specific electromagnetic transient (EMT) studies, need to be improved. This article thus presents recent academic and industrial efforts to advance the existing approaches, especially by incorporating the uncertainty in model parameters of DERs, variability of VRE, and EMT dynamics of IBRs for the grid planning and operations studies such as the impact of DERs on load modeling and system-wide dynamic performance. In addition, this article showcases recent developments to expand the study boundaries by synergizing the strengths of the industry-accepted approaches along with real system studies for Korea’s electric power systems in particular.
Jae-Kyeong Kim, Jiseong Kang, Jae Won Shim 0001, Jeonghoon Shin, Chongqing Kang, Kyeon Hur
Proc. IEEE1