A Robust Optimization Approach to the Self-scheduling Problem Using Semidefinite Programming
In deregulated electricity markets, generating companies submit energy bids which are derived from a self-schedule. In this thesis, we propose an improved semidefinite programming-based model for the self-scheduling problem. The model provides the profit-maximizing generation quantities of a single...
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Language: | en |
Published: |
2010
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Online Access: | http://hdl.handle.net/10012/4961 |