Day-Ahead Security Constrained Unit Commitment with Wind Power Scenarios Sampling

The increasing demand for clean and sustainable energy has significantly increased the share of wind power in power generations. However, at the same time, this poses incremental risk on the operation of power systems due to the intermittent and stochastic characteristics of wind power. To handle this issue, we in this paper propose a new framework to address the uncertainty in security-constrained unit commitment (SCUC) model. First, typical wind scenarios are identified and screened out by Principal Component Analysis (PCA) and Clustering by search and find of density peaks. Then, typical scenarios are used to determine the on/off status of generators by solving a two-stage optimization problem. The effectiveness of the proposed method is verified using the IEEE 118-bus testing system.