1. Robust Energy and Reserve Scheduling Considering Bulk Energy Storage Units and Wind Uncertainty.
- Author
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Cobos, Noemi G., Arroyo, Jose M., Alguacil, Natalia, and Wang, Jianhui
- Subjects
ENERGY storage ,MATHEMATICAL optimization ,ALGORITHMS ,RENEWABLE energy sources ,ELECTRIC power distribution - Abstract
In the restructured power industry, bulk energy storage may play a crucial role to provide the flexibility required by system operators to cater for the unprecedented levels of uncertainty. Within the context of co-optimized electricity markets for energy and reserves under wind uncertainty, this paper addresses the incorporation of bulk energy storage units in day-ahead network-constrained energy and reserve scheduling. A novel two-stage robust optimization approach is presented whereby the nonconvex and time-coupled operation of storage devices is precisely modeled while accounting for the anticipativity of the two-stage setting. The resulting robust counterpart is cast as a mixed-integer trilevel program with lower-level binary variables. In order to address the nonconvexity of the recourse problem, this paper proposes the application of an exact nested column-and-constraint generation algorithm. Numerical results illustrate the effective performance of the proposed approach. [ABSTRACT FROM AUTHOR]
- Published
- 2018
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