The transition to a low-carbon society requires large-scale integration of renewable electricity, whose intermittency poses a major challenge. Coupling renewable energy with hydrogen systems offers a promising solution to buffer variability. However, most existing planning models rarely address joint expansion of renewable electricity and hydrogen systems from a clean-slate perspective. To this end, in this talk, we propose a multi-objective mixed-integer linear programming (MILP) model for the integrated planning of generation, storage, transmission, and transportation of both renewable electricity and clean hydrogen. The model considers three objectives: total system cost, carbon emission, and curtailment. The proposed model is applied to South Korea to illustrate its application, and several case studies are carried out to evaluate the trade-offs between different objectives.
