한국에너지공과대학교 전력계통모델링 고도화센터(AGM 센터)에서 대한전기학회 전력정책 기술위원회와 함께 국제워크숍을 공동주최합니다. 
 

일 시 : 2026년 1월 26일 (월) 13:30 - 

장 소 : 서울 공간더하기 강남타워점 1301호

주 최 : 한국에너지공과대학교 전력계통모델링 고도화센터(AGM 센터), 대한전기학회 전력기술부문회 전력정책 기술위원회

참가 신청 : 바로가기 (등록비 무료, 선착순 50명 사전 등록)

[프로그램 개요]
13:30 - 13:40 Opening
13:40 - 14:10 Prof. Yury Dorkin, Johns Hopkins University | Informed Energy Policy Requires More Modeling and Less Models
14:10 - 14:40 Prof. Michael Chertkov, University of Arizona | Sampling Energy System Decisions

14:40 - 15:10 Prof. Jip Kim, KENTECH | AGM Center and KPG Platform
15:10 - 15:20  Closing Remarks
 

 

[연사자 정보 및 발제 세부 내용] 

발제 1. Informed Energy Policy Requires More Modeling and Less Models

강연자 : Prof. Yury Dvorkin - Johns Hopkins University (Google Scholar, Website)

 

Professional Experience

• 2023 -             Associate Professor, Department of Civil and Systems Engineering, Johns Hopkins University
• 2016 - 2022    Assistant Professor, Department of Electrical and Computer Engineering, New York University

Education

• 2016    Ph.D Electrical Engineering, University of Washington
• 2010    B.Sc. Electrical Engineering, Moscow Power Engineering Institute

Abstract: Energy policymaking face shifting objectives, surging demand, and intensifying weather stress, yet they still rely on static, fragmented models and inconsistent data which yield nominal optima that underperform in practice. Furthermore, many stakeholders involved in policymaking also lack the capacity to run and maintain even the lean tools. This talk argues for more modeling, not more models: transparent, scenario-driven workflows backed by maintained, high-resolution datasets that link various input data to system simulations to produce decision-relevant evidence. We describe a PJM-centric approach that keeps use simple, while putting cutting-edge data, models, and algorithms under the hood. We present methods and case studies that turn ambiguity into actionable plans for resource adequacy, data-center integration, transmission investment, and affordability, enabling feasible, defensible choices under uncertainty when “optimal” is unknowable.
 

발제 2. Sampling Energy System Decisions 
강연자: Prof. Michael(Misha) Chertkov - University of Arizona (Google Scholar, Website)

Professional Experience

• 2019 -             Chair of GID Program in Applied Mathematics, Professor of Mathematics, University of Arizona
• 2002 - 2019   Technical Staff Member, Theoretical Division, Los Alamos National Laboratory
• 1999 - 2001    Oppenheimer Fellow, Theoretical Division, Los Alamos National Laboratory
• 1996 - 1999     R.H. Dicke Fellow, Princeton University

Education

• 1996    Ph.D Physics, Weizmann Institute of Science
• 1990    M.Sc Physics, Novosibirsk State University

Abstract: Energy systems are increasingly operated under deep uncertainty, persistent emergency conditions, and discrete control actions -- regimes in which pointwise optimization and static models routinely fail to deliver robust outcomes. This talk introduces a sampling-decision perspective on energy system operation, where the objective is not to compute a single optimal trajectory or operating point, but to shape the probability distribution of outcomes at decision-relevant horizons. While motivated by reliability-driven operation of power systems, the framework is more general and also applies to energy system planning across multiple spatial scales and time horizons.


발제 3. Open Models to Decision-Relevant Insights: The KPG Platform and AGM Center
강연자: Prof. Jip Kim - Korea Institute of Energy Technology (KENTECH) (Google Scholar, Website)

Professional Experience

• 2025 -             Director, Advanced Grid Modeling Center, KENTCH 
• 2022 -             Assistant Professor, Department of Energy Engineering, KENTECH
• 2021 - 2022    Postdoctoral Research Scientist, Department of Electrical Engineering, Columbia University

Education

• 2021    Ph.D in Electrical Engineering, New York University
• 2014    M.Sc in Electrical Engineering, Seoul National University

Abstract: Korea’s energy transition is increasingly constrained not by ambition, but by the lack of transparent, reproducible, and decision-relevant power system models. This talk introduces the mission of the Advanced Grid Modeling (AGM) Center and the Korean Power Grid (KPG) platform, an open-source analytical framework designed to bridge grid physics, system operation, and policy discussion.
The KPG platform provides publicly accessible synthetic grid models of the Korean power system, validated through large-scale unit commitment and optimal power flow studies, and equipped with interactive tools for simulation, visualization, and scenario analysis. By lowering the barrier between complex modeling and real-world decision-making, the AGM Center aims to create a common analytical ground for system operators, utilities, policymakers, and researchers. The talk will highlight recent use cases, ongoing collaborations, and the roadmap toward integrating operational, planning, and market-oriented analyses under the Open Grid Initiative. 

 [전력기술부문회] AGM Center_전력정책 기술위원회 공동 국제워크숍 개최
 

 일 시 : 2026년 01월 26일(월) 13:30 ~ 15:30
 장 소 : 공간더하기 강남타워점 1301호 (서울 서초구 서초대로77길 48)