Embedding Dependencies Between Wind Farms in Distributionally Robust Optimal Power Flow-Reference-Cited by-同舟云学术

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Embedding Dependencies Between Wind Farms in Distributionally Robust Optimal Power Flow

Published:2022 Issue: Volume: Page:1-14
ISSN:0885-8950
Container-title:IEEE Transactions on Power Systems
language:
Short-container-title:IEEE Trans. Power Syst.

Author:

Arrigo Adriano¹^ORCID,Kazempour Jalal²^ORCID,De Greve Zacharie¹,Toubeau Jean-Francois³^ORCID,Vallee Francois¹

Affiliation:

1. Power Systems and Markets Research group, University of Mons, 31, Boulevard Dolez, Mons, Belgium

2. Department of Wind and Energy Systems, Technical University of Denmark, 325, Elektrovej, Kgs. Lyngby, Denmark

3. TME Branch, Energy Institute, University of Leuven (KU Leuven), 13, Oude Markt, Leuven, Belgium

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Link

http://xplorestaging.ieee.org/ielx7/59/4374138/09944957.pdf?arnumber=9944957

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Bayesian Nonparametric Two-Stage Distributionally Robust Unit Commitment Optimization: From Global Multimodality to Local Trimming-Wasserstein Ambiguity;IEEE Transactions on Power Systems;2024-09

2. Practical Methods of Defective Input Feature Correction to Enable Machine Learning in Power Systems;IEEE Transactions on Power Systems;2024-01

3. A Two-Step Approach to Wasserstein Distributionally Robust Chance- and Security-Constrained Dispatch;IEEE Transactions on Power Systems;2024-01

4. Distributionally robust optimal power flow with contextual information;European Journal of Operational Research;2023-05

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