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

, , , , , , and . IEEE Trans. Control. Syst. Technol., 31 (5): 2146-2158 (September 2023)

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Improving Clique Decompositions of Semidefinite Relaxations for Optimal Power Flow Problems., , , , and . CoRR, (2019)Towards a safe maximisation of renewable's flexibility in power transmission sub-grids: An MPC approach., , , , , and . ECC, page 1-6. IEEE, (2023)Zonal Congestion Management Mixing Large Battery Storage Systems and Generation Curtailment., , , and . CCTA, page 988-995. IEEE, (2018)Data-Based Predictive Control for Power Congestion Management in Subtransmission Grids Under Uncertainty., , , , , , and . IEEE Trans. Control. Syst. Technol., 31 (5): 2146-2158 (September 2023)Online Feedback Optimization for Transmission Grid Operation., , , , and . CoRR, (2022)Predictive Control for Zonal Congestion Management of a Transmission Network., , , , , and . MED, page 220-225. IEEE, (2021)Resolution in Dynamic Emission Tomography., and . SIAM J. Math. Anal., 31 (5): 1100-1120 (2000)A progressive method to solve large-scale AC optimal power flow with discrete variables and control of the feasibility., , , , and . PSCC, page 1-7. IEEE, (2014)The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms., , , , , , , , , and 10 other author(s). CoRR, (2019)Power Congestion Management of a sub-Transmission Area Power Network using Partial Renewable Power Curtailment via MPC., , , , , and . CDC, page 6351-6358. IEEE, (2021)