creator Yao, Yiyun advisor Li, Zuyi In the first part of this thesis, an adaptive robust optimization model is developed for the SCUC problem in presence of uncertain load and wind power. The model aims to minimize the operation cost for the base case SCUC problem with forecasted load and wind power, and meanwhile guarantee that the robust solution can be adaptively and securely adjusted to respond to all possible uncertain load and wind power realizations. In addition, this model considers the correlations between different uncertainty factors to limit the level of conservatism. Benders decomposition is used to divide the original problem into a master UC problem and three subproblems for hourly network evaluation, identification of the worst uncertainty realization in terms of the highest minimum network violations, and feasibility check of the worst uncertainty realization. Numerical case studies on a six-bus system show the effectiveness of the adaptive robust SCUC for the secure and economic operation of power systems under uncertainties. In the second part of this thesis, a scenario based SCUC model is discussed, which considers an alternative ‗randomized‘ approach for dealing with uncertainties in the SCUC problem. The based case SCUC with forecasted wind power and load is solved firstly. Then a finite set of scenarios are sampled randomly to represent uncertain load and wind power. The initial dispatch is checked and corrective action is considered to satisfy uncertain load and wind power in simulated scenarios. Numerical case studies on a six-bus system are conducted to evaluate the performances of the scenario based SCUC method. Submitted by Erma Thomas (thomase@iit.edu) on 2015-09-02T21:53:58Z No. of bitstreams: 1 MSTHesis_YiyunYao.pdf: 1442369 bytes, checksum: 2e0ba3073e9bfd8ff98831aeb2ba89f8 (MD5) Made available in DSpace on 2015-09-02T21:53:59Z (GMT). No. of bitstreams: 1 MSTHesis_YiyunYao.pdf: 1442369 bytes, checksum: 2e0ba3073e9bfd8ff98831aeb2ba89f8 (MD5) Previous issue date: 2015-05 M.S. in Electrical Engineering, May 2015 2015 2015-05 http://hdl.handle.net/10560/3523 en Thesis born digital application/pdf In Copyright http://rightsstatements.org/page/InC/1.0/ Restricted Access ECE / Electrical and Computer Engineering Illinois Institute of Technology Affiliated department