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- W4200628049 abstract "This chapter uses adaptive robust optimization to optimize the energy and reserve scheduling in integrated electricity and heating systems. It aims to minimize the total system cost under the worst case of wind power uncertainty. The optimization problem consists of two stages, in which day-ahead operation is considered as the first stage (here-and-now), whereas real-time regulation is regarded as the second stage (wait-and-see). The here-and-now variables are determined before the revelation of uncertainty, and the wait-and-see variables are optimized with given values of here-and-now variables after the uncertainty is revealed. In this integrated electricity and heating system, the district heating system provides reserve capacity for power systems via combined heat and power units and electrical boilers by taking into account building thermal inertia. The mathematical formulation of this optimization is introduced in Section 6.2. The column-and-constraint generation algorithm is adopted to solve the adaptive robust model, which is described in Section 6.3. Section 6.4 shows the simulation results conducted on a small-scale test system." @default.
- W4200628049 created "2021-12-31" @default.
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- W4200628049 date "2022-01-01" @default.
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- W4200628049 title "Adaptive robust energy and reserve co-optimization of an integrated electricity and heating system considering wind uncertainty" @default.
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- W4200628049 doi "https://doi.org/10.1016/b978-0-12-824114-1.00013-5" @default.
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