Data-Based Predictive Control for Power Congestion Management in Subtransmission Grids Under Uncertainty-Reference-Cited by-同舟云学术

Data-Based Predictive Control for Power Congestion Management in Subtransmission Grids Under Uncertainty

Published:2023-09 Issue:5 Volume:31 Page:2146-2158
ISSN:1063-6536
Container-title:IEEE Transactions on Control Systems Technology
language:
Short-container-title:IEEE Trans. Contr. Syst. Technol.

Author:

Dkhili Nouha¹,Olaru Sorin¹^ORCID,Iovine Alessio¹^ORCID,Giraud Guillaume²^ORCID,Maeght Jean²,Panciatici Patrick²,Ruiz Manuel¹

Affiliation:

1. Laboratory of Signals and Systems (L2S), Centre National de la Recherche Scientifique (CNRS), CentraleSupélec, Paris-Saclay University, Gifsur-Yvette, France

2. Réseau de Transport d’Électricité (RTE), Paris, France

Funder

Electronic Components and Systems for European Leadership (ECSEL) Joint Undertaking (JU) through the CPS4EU Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/87/10224555/10190180.pdf?arnumber=10190180

Reference39 articles.

1. Deployment of an online feedback optimization controller for reactive power flow optimization in a distribution grid;ortmann;arXiv 2305 06702,2023

2. A genetic algorithm tutorial

3. Coordination Strategies for Securing AC/DC Flexible Transmission Networks With Renewables

4. A comparative study of K-Means, K-Means++ and Fuzzy C-Means clustering algorithms

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