Data-Driven Variable Polyhedral Uncertainty Set for Renewable Planning

With the high penetration of renewables, the uncertainty of renewable generation becomes an important factor in power system operation and planning. In the planning model, renewable installed capacity is a decision variable, which makes the uncertainty set variable. This letter presents a novel tractable approach with a variable polyhedral uncertainty set (VPUS) to capture the temporal-spatial correlations of renewable generation. A modified surrogate affine policy (SAP) is introduced to solve the problem. Numerical tests are conducted on the planning problem of the simplified transmission system. The results indicate that the proposed approach can reduce investment and operational costs for flexibility.