Abstract
The robust optimization based dynamic economic dispatch (DED) model has been extensively studied to address uncertainties of net loads induced by renewable energy resource variabilities and demand fluctuations. However, the robust DED model is computationally expensive, when solved by the column-And-constraint generation (CCG) approach that iterates between a master problem and a max-min subproblem. This letter proposes a feasible region projection-based approach to equivalently reformulate the robust DED as a single-level linear programming (LP) model that can be effectively solved while guaranteeing solution optimality. Numerical studies show the proposed approach is one order of magnitude faster than CCG.
| Original language | English |
|---|---|
| Article number | 9122454 |
| Pages (from-to) | 4116-4119 |
| Number of pages | 4 |
| Journal | IEEE Transactions on Power Systems |
| Volume | 35 |
| Issue number | 5 |
| DOIs | |
| State | Published - Sep 2020 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Economical dispatch
- Fourier-Motzkin elimination
- feasible region projection
- robust optimization
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