A Distributionally Robust Model Predictive Control for Static and Dynamic Uncertainties in Smart Grids-Reference-Cited by-同舟云学术

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A Distributionally Robust Model Predictive Control for Static and Dynamic Uncertainties in Smart Grids

Published:2024-09 Issue:5 Volume:15 Page:4890-4902
ISSN:1949-3053
Container-title:IEEE Transactions on Smart Grid
language:
Short-container-title:IEEE Trans. Smart Grid

Author:

Li Qi¹^ORCID,Shi Ye²^ORCID,Jiang Yuning³^ORCID,Shi Yuanming²^ORCID,Wang Haoyu²^ORCID,Poor H. Vincent⁴^ORCID

Affiliation:

1. Institute of Mathematical Sciences, ShanghaiTech University, Shanghai, China

2. School of Information Science and Technology, ShanghaiTech University, Shanghai, China

3. Automatic Control Laboratory, EPFL, Lausanne, Switzerland

4. Department of Electrical and Computer Engineering, Princeton University, Princeton, NJ, USA

Funder

National Natural Science Foundation of China

Shanghai Sailing Program

C3.a1 Digital Transformation Institute and the Princeton School of Engineering and Applied Science

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/5165411/10643567/10486942.pdf?arnumber=10486942

Reference38 articles.

1. Smart Grid — The New and Improved Power Grid: A Survey

2. Chance-Constrained Optimal Power Flow: Risk-Aware Network Control under Uncertainty

3. A Robust Approach to Chance Constrained Optimal Power Flow With Renewable Generation

4. Stochastic optimal power flow based on conditional value at risk and distributional robustness

5. Distributionally Robust Chance Constrained Optimal Power Flow with Renewables: A Conic Reformulation

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