creator Hu, Bingqian advisor Li, Zuyi This thesis presents a scenario-reduction technique to solve stochastic security- constrained unit commitment (Stochastic SCUC) problems. The uncertainty of wind power generation is simulated by the Monte Carlo (MC) method. The Stochastic SCUC problem is formulated as a mixed-integer linear programming (MIP) problem and the large-scale optimization problem is decomposed into one master problem and several tractable subproblems for each scenario. Computational burdens for solving scenarios-based Stochastic SCUC are mainly depend on the number of scenarios and a scenario-reduction technique is applied to reduce the computation burdens. The numerical results of a 6-bus system show the effectiveness of the Scenarios-Reduction Techniques for solving the Stochastic SCUC problem. Index Terms—Power System Operation, Stochastic Programming, Stochastic SCUC, Monte Carlo Stimulation, Scenarios Reduction. Submitted by Dana Lamparello (dlampare@iit.edu) on 2012-08-23T18:08:18Z No. of bitstreams: 2 bingqian hu_thesis.pdf: 1726321 bytes, checksum: 3faef723b26b64045295690d0e13dbc9 (MD5) thesis.pdf: 165551 bytes, checksum: 22bb4c61d2e5cfd407bb9330eb338330 (MD5) Made available in DSpace on 2012-08-23T18:08:18Z (GMT). No. of bitstreams: 2 bingqian hu_thesis.pdf: 1726321 bytes, checksum: 3faef723b26b64045295690d0e13dbc9 (MD5) thesis.pdf: 165551 bytes, checksum: 22bb4c61d2e5cfd407bb9330eb338330 (MD5) Previous issue date: 2012-05 M.S. in Electrical Engineering, May 2012 2012-05-04 2012-05 http://hdl.handle.net/10560/2849 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