Beopsoo Kim
Portrait
Ph.D. Candidate
Department of Electrical and Computer Engineering, Inha University

I am a Ph.D. candidate in the Department of Electrical and Computer Engineering at Inha University, advised by Prof. Insu Kim. My research focuses on analysis, optimization, control, and resilience of modern power distribution systems.

I work on AC-DC hybrid power grids, microgrids, distributed energy resources, power-flow and fault analysis, and AI/optimization methods for power-grid resilience. I am a researcher in the Intelligent Power Grid Lab.

Curriculum Vitae
Google Scholar GitHub ORCID
Education
  • Inha University
    Inha University
    Department of Electrical and Computer Engineering
    Ph.D. Candidate
    Aug. 2020 - Aug. 2026 (expected)
  • Inha University
    Inha University
    B.S. in Electrical Engineering
    Mar. 2013 - Aug. 2020
Experience
  • Inha University
    Inha University
    Research Assistant, Department of Electrical and Computer Engineering
    Aug. 2020 - Present
  • Inha University
    Inha University
    Research Intern, Department of Electrical Engineering
    Jan. 2019 - Aug. 2020
Honors & Awards
  • Bronze Medal Paper, IEEE Seoul Section Student Paper Contest
    2025
  • Outstanding Research Award, Inha University Graduate School
    2025
  • Outstanding Research Award, BK21 Research and Education Group of Inha University
    2024
  • Bronze Medal Paper, IEEE Seoul Section Student Paper Contest
    2023
  • Best Paper Award, KIEE Electric Power Technology Section
    2023
  • Inha Vision Scholarship
    2022
  • Excellence Award, KIEE Graduate Students' Outstanding Paper Session
    2021
News
2026
The review article "Electric vehicle charging ecosystems" was published in Energy Strategy Reviews.
Mar 01
2025
Received the Bronze Medal Paper award at the 2025 IEEE Seoul Section Student Paper Contest.
Dec 13
Presented work on greedy energy storage operation and power system stability at ICEMS 2025.
Nov 18
Received the Outstanding Research Award from Inha University Graduate School.
Feb 14
2024
The paper "Optimal circuit breaker allocation strategy in DC transmission-connected systems" was published in Scientific Reports.
Oct 17
Received the Outstanding Research Award from the BK21 Research and Education Group of Inha University.
Feb 06
2023
Received the Bronze Medal Paper award at the 2023 IEEE Seoul Section Student Paper Contest.
Dec 02
Received the Best Paper Award from the KIEE Electric Power Technology Section.
Oct 19
The paper "A case study of stand-alone hybrid power systems for a data center using HOMER and DIgSILENT" was published in Energy Reports.
Mar 01
Selected Publications (view all )
Electric vehicle charging ecosystems: Integrated review of infrastructure development and pricing mechanisms
Electric vehicle charging ecosystems: Integrated review of infrastructure development and pricing mechanisms

Beopsoo Kim, Youngmin Gong, Wonyoung Choi, Insu Kim† († corresponding author)

Energy Strategy Reviews

Google Scholar · 0 citations

Abstract

An integrated review of EV charging infrastructure development and pricing mechanisms.

[DOI]

Electric vehicle charging ecosystems: Integrated review of infrastructure development and pricing mechanisms
Electric vehicle charging ecosystems: Integrated review of infrastructure development and pricing mechanisms

Beopsoo Kim, Youngmin Gong, Wonyoung Choi, Insu Kim† († corresponding author)

Energy Strategy Reviews

Google Scholar · 0 citations

Abstract

An integrated review of EV charging infrastructure development and pricing mechanisms.

[DOI]

Optimal circuit breaker allocation strategy in DC transmission-connected systems
Optimal circuit breaker allocation strategy in DC transmission-connected systems

Beopsoo Kim, Insu Kim† († corresponding author)

Scientific Reports

Google Scholar · 1 citation

Abstract

A case-study-based analysis of circuit breaker allocation strategies for HVDC transmission-connected systems.

[DOI] [Publisher]

Optimal circuit breaker allocation strategy in DC transmission-connected systems
Optimal circuit breaker allocation strategy in DC transmission-connected systems

Beopsoo Kim, Insu Kim† († corresponding author)

Scientific Reports

Google Scholar · 1 citation

Abstract

A case-study-based analysis of circuit breaker allocation strategies for HVDC transmission-connected systems.

[DOI] [Publisher]

Comparative analysis of deep learning techniques for load forecasting in power systems using single-layer and hybrid models
Comparative analysis of deep learning techniques for load forecasting in power systems using single-layer and hybrid models

Jiyeon Jang, Beopsoo Kim, Insu Kim† († corresponding author)

International Transactions on Electrical Energy Systems

Google Scholar · 18 citations

Abstract

A comparative study of single-layer and hybrid deep learning models for power-system load forecasting.

[DOI]

Comparative analysis of deep learning techniques for load forecasting in power systems using single-layer and hybrid models
Comparative analysis of deep learning techniques for load forecasting in power systems using single-layer and hybrid models

Jiyeon Jang, Beopsoo Kim, Insu Kim† († corresponding author)

International Transactions on Electrical Energy Systems

Google Scholar · 18 citations

Abstract

A comparative study of single-layer and hybrid deep learning models for power-system load forecasting.

[DOI]

A case study of stand-alone hybrid power systems for a data center using HOMER and DIgSILENT
A case study of stand-alone hybrid power systems for a data center using HOMER and DIgSILENT

Beopsoo Kim, Insu Kim† († corresponding author)

Energy Reports

Google Scholar · 9 citations

Abstract

A stand-alone hybrid power system case study for data-center operation using HOMER and DIgSILENT.

[DOI]

A case study of stand-alone hybrid power systems for a data center using HOMER and DIgSILENT
A case study of stand-alone hybrid power systems for a data center using HOMER and DIgSILENT

Beopsoo Kim, Insu Kim† († corresponding author)

Energy Reports

Google Scholar · 9 citations

Abstract

A stand-alone hybrid power system case study for data-center operation using HOMER and DIgSILENT.

[DOI]

The optimal allocation of distributed generators considering fault current and levelized cost of energy using the particle swarm optimization method
The optimal allocation of distributed generators considering fault current and levelized cost of energy using the particle swarm optimization method

Beopsoo Kim, Nikita Rusetskii, Haesung Jo, Insu Kim† († corresponding author)

Energies

Google Scholar · 19 citations

Abstract

A distributed generator allocation method considering fault current and levelized cost of energy using particle swarm optimization.

[DOI]

The optimal allocation of distributed generators considering fault current and levelized cost of energy using the particle swarm optimization method
The optimal allocation of distributed generators considering fault current and levelized cost of energy using the particle swarm optimization method

Beopsoo Kim, Nikita Rusetskii, Haesung Jo, Insu Kim† († corresponding author)

Energies

Google Scholar · 19 citations

Abstract

A distributed generator allocation method considering fault current and levelized cost of energy using particle swarm optimization.

[DOI]

All publications