Implementation of a Local Renewable Management System for increasing RES while securing stability in KEPCO’s regional power system

Active power from renewable energy sources (RESs) is not suitable for long-distance transmission, and surplus generation can introduce stability concerns in high-voltage distribution networks. To address this problem, this study introduces the Local Renewable Management System (LRMS), a fully operational real-time framework deployed within the regional power system of the Korea Electric Power Corporation. The objective of the LRMS is to maximize the hosting capacity of RESs in high-voltage distribution grids while ensuring system stability. Unlike traditional centralized management systems, which regulate renewable generation primarily at the transmission level, the LRMS emphasizes localized control, enabling precise and adaptive responses to regional stability challenges arising from rapid RES penetration. Key processes include integration of real-time weather forecasts, RES output predictions, and stability assessment. Based on the calculated system non-synchronous penetration margin, the LRMS determines whether RES output can be increased or must be curtailed. Operational results from the Honam power system demonstrate the effectiveness and practical applicability of the LRMS in managing voltage profiles and system stability. An additional operational case study of the Jeju power system verifies the generalizability of the proposed system. Overall, this work presents a decentralized, data-driven solution for distribution-level RES integration, offering a scalable approach to meet carbon neutrality goals and increase RES penetration. • This study introduces the LRMS, a system currently at the Gwangju Management Center. • The LRMS can efficiently monitor and control RES in the regional power system. • The LRMS also addresses stability concerns arising from rapid growth in RES. • The modules, scenarios, and algorithms integrated into LRMS are thoroughly described. • The detailed methodologies and datasets employed in the LRMS are described. • Key processes include RES forecasting, output control, and stability assessment. • A case study of the Honam power system is conducted as a showcase of the LRMS.