Long-term Generation Expansion Planning Model Based on Intraday and Interday Renewable Energy Uncertainty Sets
Generation expansion planning(GEP)models are used to find feasible solutions for power systems with high renewable energy shares,and effective planning requires appropriate variable renewable energy(VRE)uncertainty representations.As the VRE penetration increases,VRE uncertainties challenge power systems at different time scales.This article proposes a long-term GEP model based on interday and intraday VRE uncertainty sets that can ensure the electricity balance at different time scales.VRE fluctuation and intermittency are modeled via interday uncertainty sets,while daily typical and extreme VRE outputs are modeled by intraday sets.The effectiveness of the proposed model is validated in China's power system compared to the representative day method,time series aggregation method,and daily electricity balance method.Lower load loss and carbon emissions are achieved by the proposed method under different 8760-hour VRE outputs but cannot be met by other methods mentioned above.
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