An IDM-Based Two-Stage Robust Balance Analysis Model for High-proportion Renewable Energy Integration through HVDC System

Under the circumstance of the new-type power system, uncertainties on both sides of supply and demand lead to prominent characteristics of supply-demand probabilistic matching and multi-regional complementarity, which greatly increased the balance risk during system operation. In this regard, this paper proposes a short-term electric power balance analysis model for a renewable energy power base transmitted through a high-voltage direct current (HVDC) system. First, a detailed cascade hydropower system (CHS) and HVDC model are constructed , and different linearization techniques are applied to linearize different nonlinear constraints, reducing computational complexity. Second, to effectively capture the uncertainty of renewable energy, an Imprecise Dirichlet model (IDM) based method for constructing uncertainty sets is designed, greatly reducing the conservation of the robust optimization. Finally, a two-stage robust optimization model with mixed-integer recourse is established to analyze the potentially unbalanced state by minimizing the operational and curtailment costs. The proposed two-stage robust optimization model is a solved column-and-constraint generation (C&CG) algorithm by using customized nested. The result of the numerical verifies the effectiveness of the proposed model and algorithm.