Optimal Operation of New Coastal Power Systems Considering Source-Load Uncertainty and CCS

The development of low-carbon power systems critically depends on incorporating renewable energy sources with emission mitigation technologies. Nevertheless, system reliability faces substantial challenges from the inherent variability in both renewable energy production and consumer load demand. This study addresses these challenges in coastal next-generation power systems by introducing CCS technology and a tiered carbon trading mechanism to reduce emissions and enhance renewable energy accommodation. A low-carbon economic dispatch model incorporating fuzzy chance constraints is proposed to handle uncertainties on both generation and load sides. Deterministic constraints are relaxed into fuzzy system constraints and processed using triangular fuzzy parameters. The model is solved using GUROBI. Case studies validate the model's effectiveness in balancing economic efficiency and system reliability under different confidence levels, providing a theoretical foundation to achieve carbon-efficient performance in next-generation coastal power grids.