KPG 193: A Synthetic Korean Power Grid Test System for Decarbonization Studies
Geonho Song, Jip Kim
TL;DR
The paper addresses the lack of open, benchmark-grade Korean power grid models by introducing KPG 193, a synthetic 193-bus grid derived from 2022 open data. It presents a clustering-based workflow that aggregates topology, generator, weather, and demand data around KEPCO regional offices to preserve grid characteristics while ensuring tractability. The authors validate the model through daily UC and hourly ACOPF over 2022, achieving generation deviations within 1.4% of historical KPX data, and demonstrate realistic power flows and voltage patterns on a summer peak snapshot. This open, data-driven framework enables decarbonization studies and planning analyses for Korea, with results and data publicly available for broader use.
Abstract
This paper introduces the 193 bus synthetic Korean power grid (KPG 193), developed using open data sources to address recent challenges of the Korean power system. The KPG 193 test system serves as a valuable platform for decarbonization research, capturing Korean low renewable energy penetration, concentrated urban energy demand, and isolated grid structure. Clustering techniques were applied to preserve key system characteristics while maintaining computational tractability and representativeness. The system includes 193 buses, 123 generators, 407 transmission lines, and incorporates temporal weather datasets. Its feasibility was validated through Unit Commitment (UC) and AC Optimal Power Flow (ACOPF) simulations using 2022 demand and renewable generation data. This test system aims to provide a foundational framework for modeling and analyzing the Korean power grid.
