Practical Generation Resource Planning Based on Screening Curve Method Considering Must-Run Constraints: The Case of Jeju Island's Power Grids

Abstract

The increasing integration of renewable energy sources in the power system necessitates a reassessment of the optimal generation resource mix in long-term planning. To derive a practical solution for the generation mix in response to renewable energy integration, it is necessary to consider additional practical constraints taken into account in real operations. This study introduces an enhanced screening curve method (SCM) incorporating must-run constraints for practical determination of the generation resource mix and estimation of renewable energy curtailment. The inclusion of must-run impact in the SCM contributes to a more practical and accurate estimation of the generation resource mix and expected renewable energy curtailment in long-term planning. A case study was conducted by assuming three different wind penetration scenarios using empirical data from the Jeju power gird. The results suggest indicates that the increasing integration of wind power is likely to decrease mid-load and peak-load generators during high-demand periods and reduce base-load generators during low-demand periods in the generation resource mix results. Additionally, the expected future expansion of wind penetration is projected to elevate both the amount and frequency of renewable energy curtailment at both high and low demand levels. The findings highlight the importance of flexibility resources and measures, such as reducing must-run generation, to address the anticipated increase in renewable energy curtailment. Moreover, the study provides insights for exploring practical solutions in long-term generation planning amid the growing integration of renewable energy.