Abstract
This letter investigates how to identify the marginal bottleneck, which is defined as the constraint most likely to be violated with the increasing wind generation uncertainty of power system in real-time dispatch. The presented method takes the correlation of wind power prediction error (WPPE) into account, leading to an ellipsoidal formulation of wind power generation region (WGR). Based on constructed WGR, the identification procedure is formulated as a max-max-min problem, which is solved by the algorithm based on iteration linear program with the proposed method to select appropriate initial points of WPPE. Finally, two cases are tested, demonstrating the efficacy and efficiency of the procedure to identify marginal bottleneck.
| Original language | English |
|---|---|
| Pages (from-to) | 187-192 |
| Journal | Journal of Modern Power Systems and Clean Energy |
| Volume | 8 |
| Issue number | 1 |
| Online published | 4 Dec 2019 |
| DOIs | |
| Publication status | Published - Jan 2020 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Research Keywords
- Bottleneck
- elliptical distribution
- hyperbolic distribution
- wind power accommodation
Publisher's Copyright Statement
- This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/
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