Robust Flexibility Evaluation of Integrated Energy Systems Based on Conservatism Adaptive Optimization

Considering the existing literature's deficiency in evaluating the potential of flexibility support provided by integrated energy systems for the upper power system and the impact of multivariate load uncertainty within the integrated energy system is not sufficiently considered, a robust flexibility evaluation method for integrated energy systems based on conservatism adaptive optimization is proposed. Firstly, a deterministic flexibility evaluation model of integrated energy system is established from the perspective of the upper power system, using the external power demand of the integrated energy system as quantitative index; secondly, considering the uncertainty of multivariate loads, the conservatism constraint in traditional robust optimization models is improved, and an adaptive optimization method for conservatism parameters is proposed, then the max-min-max and min-max-min two-stage robust optimization models are established for the upper and lower bounds of the external power demand intervals respectively; again, the KKT condition and McCormick relaxation are used to pair and linearize the double-layer structure existing in the subproblem, and the column and constraint generation (C & CG) algorithm is used to decompose the two-stage robust optimization model into main problem and subproblem for iterative solution. Finally, an example is given to verify the effectiveness of the evaluation model and solution method.