| Title |
Multi-Dimensional Risk Index-Based ESS Scheduling Strategy for Maintaining Reliability in Future Power Systems with a High Renewable Penetration Level |
| Authors |
정민규(Min-Kyu Jung) ; 임현준(Hyeon-Jun Im) ; 이민영(Min-Young Lee) ; 김상원(Sang-Won Kim) ; 이두희(Duehee Lee) |
| DOI |
https://doi.org/10.5370/KIEE.2026.75.8.1760 |
| Keywords |
Energy Storage System; Risk-Based Scheduling; Multi-Dimensional Risk Index; Renewable Energy Integration; Capacity Value |
| Abstract |
This study proposes a risk-based scheduling strategy for energy storage systems (ESS) in power systems with high renewable penetration, where reliability and economic operation must be balanced under load variability, renewable uncertainty, and equipment outages. A multi-dimensional risk index is developed by integrating supply margin, equipment reliability, renewable uncertainty, and expected shortfall energy. Based on this index, the ESS is operated using dynamic SOC floor policies and 24-hour look-ahead control logic to coordinate reserve retention and price-based arbitrage. The strategy is evaluated on an expanded IEEE RTS-24 system through annual sequential Monte Carlo simulation with DC-OPF transmission constraints. Compared with Rule-Based Arbitrage, it reduces LOLE by 32.8% and EENS by 35.9% while achieving higher ESS operating revenue. It also achieves the highest ELCC of 169.53MW, or 84.8% of the ESS rated power, highlighting ESS operating strategy as a key design factor. |